diff --git a/.changeset/sync-models.md b/.changeset/sync-models.md new file mode 100644 index 0000000000..23432bcb23 --- /dev/null +++ b/.changeset/sync-models.md @@ -0,0 +1,10 @@ +--- +'@tanstack/ai-anthropic': patch +'@tanstack/ai-gemini': patch +'@tanstack/ai-llmgateway': patch +'@tanstack/ai-neon': patch +'@tanstack/ai-openrouter': patch +'@tanstack/ai-vercel-gateway': patch +--- + +Update model metadata from OpenRouter API diff --git a/packages/ai-anthropic/src/model-meta.ts b/packages/ai-anthropic/src/model-meta.ts index 4009f43a50..5195ee2d0c 100644 --- a/packages/ai-anthropic/src/model-meta.ts +++ b/packages/ai-anthropic/src/model-meta.ts @@ -758,7 +758,49 @@ const CLAUDE_HAIKU_5_5 = { AnthropicMaxTokensOptions > +const CLAUDE_FABLE_5_2 = { + name: 'claude-fable-5-2', + id: 'claude-fable-5-2', + context_window: 1_000_000, + max_output_tokens: 128_000, + supports: { + input: ['text', 'image', 'document'], + extended_thinking: false, + adaptive_thinking: true, + priority_tier: true, + tools: [ + 'web_search', + 'web_fetch', + 'code_execution', + 'computer', + 'computer_toolset', + 'bash', + 'text_editor', + 'memory', + ], + }, + pricing: { + input: { + normal: 8, + cached: 0.2, + }, + output: { + normal: 40, + }, + }, +} as const satisfies ModelMeta< + AnthropicCacheControlOptions & + AnthropicContainerOptions & + AnthropicContextManagementOptions & + AnthropicMCPOptions & + AnthropicServiceTierOptions & + AnthropicStopSequencesOptions & + AnthropicToolChoiceOptions & + AnthropicMaxTokensOptions +> + export const ANTHROPIC_MODELS = [ + CLAUDE_FABLE_5_2.id, CLAUDE_HAIKU_5_5.id, CLAUDE_SONNET_5_5.id, CLAUDE_OPUS_5_5.id, @@ -837,6 +879,7 @@ const ANTHROPIC_MODEL_MAX_OUTPUT_TOKENS: Record = { [CLAUDE_OPUS_5_5.id]: CLAUDE_OPUS_5_5.max_output_tokens, [CLAUDE_SONNET_5_5.id]: CLAUDE_SONNET_5_5.max_output_tokens, [CLAUDE_HAIKU_5_5.id]: CLAUDE_HAIKU_5_5.max_output_tokens, + [CLAUDE_FABLE_5_2.id]: CLAUDE_FABLE_5_2.max_output_tokens, } /** @@ -885,6 +928,7 @@ export function getAnthropicDefaultMaxTokens( * in `structuredOutput`. */ export const ANTHROPIC_COMBINED_TOOLS_AND_SCHEMA_MODELS = new Set([ + CLAUDE_FABLE_5_2.id, CLAUDE_HAIKU_5_5.id, CLAUDE_SONNET_5_5.id, CLAUDE_OPUS_4_5.id, @@ -1059,6 +1103,14 @@ export type AnthropicChatModelProviderOptionsByName = { AnthropicStopSequencesOptions & AnthropicToolChoiceOptions & AnthropicMaxTokensOptions + [CLAUDE_FABLE_5_2.id]: AnthropicCacheControlOptions & + AnthropicContainerOptions & + AnthropicContextManagementOptions & + AnthropicMCPOptions & + AnthropicServiceTierOptions & + AnthropicStopSequencesOptions & + AnthropicToolChoiceOptions & + AnthropicMaxTokensOptions } export type AnthropicChatModelToolCapabilitiesByName = { @@ -1076,6 +1128,7 @@ export type AnthropicChatModelToolCapabilitiesByName = { [CLAUDE_OPUS_5_5.id]: typeof CLAUDE_OPUS_5_5.supports.tools [CLAUDE_SONNET_5_5.id]: typeof CLAUDE_SONNET_5_5.supports.tools [CLAUDE_HAIKU_5_5.id]: typeof CLAUDE_HAIKU_5_5.supports.tools + [CLAUDE_FABLE_5_2.id]: typeof CLAUDE_FABLE_5_2.supports.tools } /** @@ -1128,6 +1181,7 @@ export type AnthropicModelInputModalitiesByName = { [CLAUDE_OPUS_5_5.id]: typeof CLAUDE_OPUS_5_5.supports.input [CLAUDE_SONNET_5_5.id]: typeof CLAUDE_SONNET_5_5.supports.input [CLAUDE_HAIKU_5_5.id]: typeof CLAUDE_HAIKU_5_5.supports.input + [CLAUDE_FABLE_5_2.id]: typeof CLAUDE_FABLE_5_2.supports.input } /** @@ -1152,6 +1206,7 @@ export const ANTHROPIC_MODEL_INPUT_MODALITIES: Readonly< [CLAUDE_OPUS_5_5.id]: CLAUDE_OPUS_5_5.supports.input, [CLAUDE_SONNET_5_5.id]: CLAUDE_SONNET_5_5.supports.input, [CLAUDE_HAIKU_5_5.id]: CLAUDE_HAIKU_5_5.supports.input, + [CLAUDE_FABLE_5_2.id]: CLAUDE_FABLE_5_2.supports.input, } satisfies AnthropicModelInputModalitiesByName /** diff --git a/packages/ai-gemini/src/model-meta.ts b/packages/ai-gemini/src/model-meta.ts index 6bf9bb1c93..4e80fef99c 100644 --- a/packages/ai-gemini/src/model-meta.ts +++ b/packages/ai-gemini/src/model-meta.ts @@ -990,7 +990,63 @@ const GEMINI_4_ARGON = { GeminiStructuredOutputOptions > +const GEMINI_4_CARBON = { + name: 'gemini-4-carbon', + max_input_tokens: 1_048_576, + max_output_tokens: 943_718, + supports: { + input: ['audio', 'document', 'image', 'text', 'video'], + output: ['text'], + capabilities: ['function_calling', 'structured_output', 'thinking'], + tools: ['code_execution', 'file_search', 'google_search', 'url_context'], + }, + pricing: { + input: { + normal: 2, + cached: 0.1, + }, + output: { + normal: 10, + }, + }, +} as const satisfies ModelMeta< + GeminiToolConfigOptions & + GeminiSafetyOptions & + GeminiCommonConfigOptions & + GeminiCachedContentOptions & + GeminiStructuredOutputOptions +> + +const GEMINI_4_HYDROGEN = { + name: 'gemini-4-hydrogen', + max_input_tokens: 1_048_576, + max_output_tokens: 943_718, + supports: { + input: ['audio', 'document', 'image', 'text', 'video'], + output: ['text'], + capabilities: ['function_calling', 'structured_output', 'thinking'], + tools: ['code_execution', 'file_search', 'google_search', 'url_context'], + }, + pricing: { + input: { + normal: 1.5, + cached: 0.075, + }, + output: { + normal: 7.5, + }, + }, +} as const satisfies ModelMeta< + GeminiToolConfigOptions & + GeminiSafetyOptions & + GeminiCommonConfigOptions & + GeminiCachedContentOptions & + GeminiStructuredOutputOptions +> + export const GEMINI_MODELS = [ + GEMINI_4_CARBON.name, + GEMINI_4_HYDROGEN.name, GEMINI_4_ARGON.name, GEMINI_3_8_FLASH.name, GEMINI_3_7_FLASH.name, @@ -1209,6 +1265,16 @@ export type GeminiChatModelProviderOptionsByName = { GeminiCommonConfigOptions & GeminiCachedContentOptions & GeminiStructuredOutputOptions + [GEMINI_4_CARBON.name]: GeminiToolConfigOptions & + GeminiSafetyOptions & + GeminiCommonConfigOptions & + GeminiCachedContentOptions & + GeminiStructuredOutputOptions + [GEMINI_4_HYDROGEN.name]: GeminiToolConfigOptions & + GeminiSafetyOptions & + GeminiCommonConfigOptions & + GeminiCachedContentOptions & + GeminiStructuredOutputOptions } /** @@ -1229,6 +1295,8 @@ export type GeminiChatModelToolCapabilitiesByName = { [GEMINI_2_5_FLASH.name]: typeof GEMINI_2_5_FLASH.supports.tools [GEMINI_2_5_FLASH_LITE.name]: typeof GEMINI_2_5_FLASH_LITE.supports.tools [GEMINI_4_ARGON.name]: typeof GEMINI_4_ARGON.supports.tools + [GEMINI_4_CARBON.name]: typeof GEMINI_4_CARBON.supports.tools + [GEMINI_4_HYDROGEN.name]: typeof GEMINI_4_HYDROGEN.supports.tools } /** @@ -1261,6 +1329,8 @@ export type GeminiModelInputModalitiesByName = { // Models with text, image, audio, video (no document) [GEMINI_2_5_FLASH.name]: typeof GEMINI_2_5_FLASH.supports.input [GEMINI_4_ARGON.name]: typeof GEMINI_4_ARGON.supports.input + [GEMINI_4_CARBON.name]: typeof GEMINI_4_CARBON.supports.input + [GEMINI_4_HYDROGEN.name]: typeof GEMINI_4_HYDROGEN.supports.input } /** @@ -1285,6 +1355,8 @@ export const GEMINI_MODEL_INPUT_MODALITIES: Readonly< [GEMINI_2_5_FLASH_LITE.name]: GEMINI_2_5_FLASH_LITE.supports.input, [GEMINI_2_5_FLASH.name]: GEMINI_2_5_FLASH.supports.input, [GEMINI_4_ARGON.name]: GEMINI_4_ARGON.supports.input, + [GEMINI_4_CARBON.name]: GEMINI_4_CARBON.supports.input, + [GEMINI_4_HYDROGEN.name]: GEMINI_4_HYDROGEN.supports.input, } satisfies GeminiModelInputModalitiesByName // Reasoning diff --git a/packages/ai-llmgateway/src/model-meta.ts b/packages/ai-llmgateway/src/model-meta.ts index 844fd0f59e..698322fd56 100644 --- a/packages/ai-llmgateway/src/model-meta.ts +++ b/packages/ai-llmgateway/src/model-meta.ts @@ -13,6 +13,7 @@ export const LLMGATEWAY_CHAT_MODELS = [ 'auto', 'claude-fable-5', 'claude-fable-5-1', + 'claude-fable-5-2', 'claude-haiku-4-5', 'claude-haiku-4-5-20251001', 'claude-haiku-5-5', @@ -36,6 +37,8 @@ export const LLMGATEWAY_CHAT_MODELS = [ 'deepseek-v4.1-flash', 'deepseek-v4.1-flash-1017', 'deepseek-v4.1-flash-cyber', + 'deepseek-v4.1-flash-latest', + 'deepseek-v4.1-flash-uncensored', 'devstral-2512', 'fugu-max', 'fugu-ultra', @@ -57,6 +60,8 @@ export const LLMGATEWAY_CHAT_MODELS = [ 'gemini-3.7-flash', 'gemini-3.8-flash', 'gemini-4-argon', + 'gemini-4-carbon', + 'gemini-4-hydrogen', 'gemini-nano-banana-2.1', 'gemini-pro-latest', 'gemma-4-26b-a4b-it', @@ -177,6 +182,7 @@ export const LLMGATEWAY_CHAT_MODELS = [ 'mistral-medium-3-5', 'mistral-small-2506', 'mistral-small-2603', + 'muse-ember-1.0', 'muse-glimmer-30b', 'muse-spark-1.1', 'muse-spark-1.2', @@ -214,16 +220,12 @@ export const LLMGATEWAY_CHAT_MODELS = [ 'qwen3.7-plus', 'qwen3.8-2.4t-a95b', 'qwen3.8-27b', - 'Qwen3.8-27B', 'qwen3.8-flash', 'qwen3.8-max', 'qwen3.8-omni-flash', 'qwen35-397b-a17b', 'reka-edge-2603', - 'seed-1-6-250615', - 'seed-1-6-250915', - 'seed-1-6-flash-250715', - 'seed-1-8-251228', + 'scribe-v3-live', 'seed-2-0-code-preview-260328', 'seed-2-0-lite-260428', 'seed-2-0-mini-260428', @@ -237,6 +239,8 @@ export const LLMGATEWAY_CHAT_MODELS = [ 'sonar', 'step-3.7-flash', 'step-5-preview', + 'wan-2-7-image', + 'wan-2-7-image-pro', ] as const export type LLMGatewayChatModels = (typeof LLMGATEWAY_CHAT_MODELS)[number] @@ -251,6 +255,7 @@ export type LLMGatewayModelInputModalitiesByName = { auto: readonly ['text', 'image'] 'claude-fable-5': readonly ['text', 'image'] 'claude-fable-5-1': readonly ['text', 'image'] + 'claude-fable-5-2': readonly ['text', 'image'] 'claude-haiku-4-5': readonly ['text', 'image'] 'claude-haiku-4-5-20251001': readonly ['text', 'image'] 'claude-haiku-5-5': readonly ['text', 'image'] @@ -274,6 +279,8 @@ export type LLMGatewayModelInputModalitiesByName = { 'deepseek-v4.1-flash': readonly ['text', 'image'] 'deepseek-v4.1-flash-1017': readonly ['text', 'image'] 'deepseek-v4.1-flash-cyber': readonly ['text', 'image'] + 'deepseek-v4.1-flash-latest': readonly ['text', 'image'] + 'deepseek-v4.1-flash-uncensored': readonly ['text', 'image'] 'devstral-2512': readonly ['text'] 'fugu-max': readonly ['text', 'image'] 'fugu-ultra': readonly ['text', 'image'] @@ -295,6 +302,8 @@ export type LLMGatewayModelInputModalitiesByName = { 'gemini-3.7-flash': readonly ['text', 'image', 'audio'] 'gemini-3.8-flash': readonly ['text', 'image', 'audio'] 'gemini-4-argon': readonly ['text', 'image', 'audio'] + 'gemini-4-carbon': readonly ['text', 'image', 'audio'] + 'gemini-4-hydrogen': readonly ['text', 'image', 'audio'] 'gemini-nano-banana-2.1': readonly ['text', 'image'] 'gemini-pro-latest': readonly ['text', 'image', 'audio'] 'gemma-4-26b-a4b-it': readonly ['text'] @@ -415,6 +424,7 @@ export type LLMGatewayModelInputModalitiesByName = { 'mistral-medium-3-5': readonly ['text', 'image'] 'mistral-small-2506': readonly ['text', 'image'] 'mistral-small-2603': readonly ['text', 'image'] + 'muse-ember-1.0': readonly ['text', 'image'] 'muse-glimmer-30b': readonly ['text', 'image'] 'muse-spark-1.1': readonly ['text', 'image'] 'muse-spark-1.2': readonly ['text', 'image'] @@ -452,16 +462,12 @@ export type LLMGatewayModelInputModalitiesByName = { 'qwen3.7-plus': readonly ['text', 'image'] 'qwen3.8-2.4t-a95b': readonly ['text'] 'qwen3.8-27b': readonly ['text', 'image'] - 'Qwen3.8-27B': readonly ['text', 'image'] 'qwen3.8-flash': readonly ['text', 'image'] 'qwen3.8-max': readonly ['text', 'image'] 'qwen3.8-omni-flash': readonly ['text', 'image', 'audio'] 'qwen35-397b-a17b': readonly ['text', 'image'] 'reka-edge-2603': readonly ['text', 'image'] - 'seed-1-6-250615': readonly ['text', 'image'] - 'seed-1-6-250915': readonly ['text', 'image'] - 'seed-1-6-flash-250715': readonly ['text', 'image'] - 'seed-1-8-251228': readonly ['text', 'image'] + 'scribe-v3-live': readonly ['text', 'audio'] 'seed-2-0-code-preview-260328': readonly ['text', 'image'] 'seed-2-0-lite-260428': readonly ['text', 'image'] 'seed-2-0-mini-260428': readonly ['text', 'image'] @@ -475,6 +481,8 @@ export type LLMGatewayModelInputModalitiesByName = { sonar: readonly ['text'] 'step-3.7-flash': readonly ['text', 'image'] 'step-5-preview': readonly ['text', 'image'] + 'wan-2-7-image': readonly ['text', 'image'] + 'wan-2-7-image-pro': readonly ['text', 'image'] } export const LLMGATEWAY_MODEL_INPUT_MODALITIES: Readonly< @@ -483,6 +491,7 @@ export const LLMGATEWAY_MODEL_INPUT_MODALITIES: Readonly< auto: ['text', 'image'] as const, 'claude-fable-5': ['text', 'image'] as const, 'claude-fable-5-1': ['text', 'image'] as const, + 'claude-fable-5-2': ['text', 'image'] as const, 'claude-haiku-4-5': ['text', 'image'] as const, 'claude-haiku-4-5-20251001': ['text', 'image'] as const, 'claude-haiku-5-5': ['text', 'image'] as const, @@ -506,6 +515,8 @@ export const LLMGATEWAY_MODEL_INPUT_MODALITIES: Readonly< 'deepseek-v4.1-flash': ['text', 'image'] as const, 'deepseek-v4.1-flash-1017': ['text', 'image'] as const, 'deepseek-v4.1-flash-cyber': ['text', 'image'] as const, + 'deepseek-v4.1-flash-latest': ['text', 'image'] as const, + 'deepseek-v4.1-flash-uncensored': ['text', 'image'] as const, 'devstral-2512': ['text'] as const, 'fugu-max': ['text', 'image'] as const, 'fugu-ultra': ['text', 'image'] as const, @@ -527,6 +538,8 @@ export const LLMGATEWAY_MODEL_INPUT_MODALITIES: Readonly< 'gemini-3.7-flash': ['text', 'image', 'audio'] as const, 'gemini-3.8-flash': ['text', 'image', 'audio'] as const, 'gemini-4-argon': ['text', 'image', 'audio'] as const, + 'gemini-4-carbon': ['text', 'image', 'audio'] as const, + 'gemini-4-hydrogen': ['text', 'image', 'audio'] as const, 'gemini-nano-banana-2.1': ['text', 'image'] as const, 'gemini-pro-latest': ['text', 'image', 'audio'] as const, 'gemma-4-26b-a4b-it': ['text'] as const, @@ -647,6 +660,7 @@ export const LLMGATEWAY_MODEL_INPUT_MODALITIES: Readonly< 'mistral-medium-3-5': ['text', 'image'] as const, 'mistral-small-2506': ['text', 'image'] as const, 'mistral-small-2603': ['text', 'image'] as const, + 'muse-ember-1.0': ['text', 'image'] as const, 'muse-glimmer-30b': ['text', 'image'] as const, 'muse-spark-1.1': ['text', 'image'] as const, 'muse-spark-1.2': ['text', 'image'] as const, @@ -684,16 +698,12 @@ export const LLMGATEWAY_MODEL_INPUT_MODALITIES: Readonly< 'qwen3.7-plus': ['text', 'image'] as const, 'qwen3.8-2.4t-a95b': ['text'] as const, 'qwen3.8-27b': ['text', 'image'] as const, - 'Qwen3.8-27B': ['text', 'image'] as const, 'qwen3.8-flash': ['text', 'image'] as const, 'qwen3.8-max': ['text', 'image'] as const, 'qwen3.8-omni-flash': ['text', 'image', 'audio'] as const, 'qwen35-397b-a17b': ['text', 'image'] as const, 'reka-edge-2603': ['text', 'image'] as const, - 'seed-1-6-250615': ['text', 'image'] as const, - 'seed-1-6-250915': ['text', 'image'] as const, - 'seed-1-6-flash-250715': ['text', 'image'] as const, - 'seed-1-8-251228': ['text', 'image'] as const, + 'scribe-v3-live': ['text', 'audio'] as const, 'seed-2-0-code-preview-260328': ['text', 'image'] as const, 'seed-2-0-lite-260428': ['text', 'image'] as const, 'seed-2-0-mini-260428': ['text', 'image'] as const, @@ -707,6 +717,8 @@ export const LLMGATEWAY_MODEL_INPUT_MODALITIES: Readonly< sonar: ['text'] as const, 'step-3.7-flash': ['text', 'image'] as const, 'step-5-preview': ['text', 'image'] as const, + 'wan-2-7-image': ['text', 'image'] as const, + 'wan-2-7-image-pro': ['text', 'image'] as const, } satisfies LLMGatewayModelInputModalitiesByName export type LLMGatewayChatModelProviderOptionsByName = { @@ -733,8 +745,8 @@ const EFFORT_HIGH_TO_MAX = { levels: { high: 'high', xhigh: 'xhigh', max: 'max' }, budget: false, } as const -const EFFORT_LOW_MEDIUM_XHIGH = { - levels: { low: 'low', medium: 'medium', xhigh: 'xhigh' }, +const EFFORT_LOW_HIGH_TO_MAX = { + levels: { low: 'low', high: 'high', xhigh: 'xhigh', max: 'max' }, budget: false, } as const const EFFORT_LOW_TO_HIGH = { @@ -755,6 +767,10 @@ const EFFORT_LOW_TO_XHIGH = { levels: { low: 'low', medium: 'medium', high: 'high', xhigh: 'xhigh' }, budget: false, } as const +const EFFORT_MEDIUM_HIGH = { + levels: { medium: 'medium', high: 'high' }, + budget: false, +} as const const EFFORT_MEDIUM_TO_XHIGH = { levels: { medium: 'medium', high: 'high', xhigh: 'xhigh' }, budget: false, @@ -865,6 +881,7 @@ const EFFORT_XHIGH_MAX = { const LLMGATEWAY_REASONING = { 'claude-fable-5': EFFORT_LOW_TO_MAX, 'claude-fable-5-1': EFFORT_LOW_TO_MAX, + 'claude-fable-5-2': EFFORT_LOW_TO_MAX, 'claude-haiku-4-5': EFFORT_LOW_TO_MAX, 'claude-haiku-4-5-20251001': EFFORT_LOW_TO_MAX, 'claude-haiku-5-5': EFFORT_NONE_LOW_TO_MAX, @@ -880,10 +897,13 @@ const LLMGATEWAY_REASONING = { 'claude-sonnet-5': EFFORT_NONE_LOW_TO_MAX, 'claude-sonnet-5-5': EFFORT_LOW_TO_MAX, 'deepseek-v4-flash': EFFORT_NONE_LOW_HIGH_MAX, + 'deepseek-v4-flash-0731': EFFORT_NONE_MINIMAL_TO_MAX, 'deepseek-v4-pro': EFFORT_NONE_HIGH_MAX, 'deepseek-v4.1-flash': EFFORT_NONE_MINIMAL_TO_MAX, 'deepseek-v4.1-flash-1017': EFFORT_NONE_MINIMAL_TO_MAX, 'deepseek-v4.1-flash-cyber': EFFORT_NONE_LOW_HIGH_TO_MAX, + 'deepseek-v4.1-flash-latest': EFFORT_NONE_MINIMAL_TO_MAX, + 'deepseek-v4.1-flash-uncensored': EFFORT_LOW_HIGH_TO_MAX, 'fugu-max': EFFORT_HIGH_TO_MAX, 'fugu-ultra': EFFORT_HIGH_TO_MAX, 'fugu-ultra-v2.0': EFFORT_HIGH_TO_MAX, @@ -897,6 +917,8 @@ const LLMGATEWAY_REASONING = { 'gemini-3.7-flash': EFFORT_LOW_TO_HIGH, 'gemini-3.8-flash': EFFORT_LOW_TO_HIGH, 'gemini-4-argon': EFFORT_HIGH, + 'gemini-4-carbon': EFFORT_MEDIUM_HIGH, + 'gemini-4-hydrogen': EFFORT_LOW_TO_XHIGH, 'gemini-pro-latest': EFFORT_LOW_TO_HIGH, 'gemma-4-31b-it': EFFORT_NONE_LOW_TO_HIGH, 'glm-5': EFFORT_NONE_MINIMAL_TO_XHIGH, @@ -961,6 +983,7 @@ const LLMGATEWAY_REASONING = { 'minimax-m2.7-highspeed': EFFORT_LOW_TO_MAX, 'minimax-m3': EFFORT_NONE_MINIMAL_TO_MAX, 'minimax-m3.1-flash': EFFORT_LOW_TO_MAX, + 'muse-ember-1.0': EFFORT_MINIMAL_TO_MAX, 'muse-glimmer-30b': EFFORT_MINIMAL_TO_MAX, 'muse-spark-1.1': EFFORT_MINIMAL_TO_XHIGH, 'muse-spark-1.2': EFFORT_MINIMAL_TO_XHIGH, @@ -979,14 +1002,9 @@ const LLMGATEWAY_REASONING = { 'qwen3.7-plus': EFFORT_NONE_MINIMAL_TO_MAX, 'qwen3.8-2.4t-a95b': EFFORT_NONE_LOW_MEDIUM_XHIGH, 'qwen3.8-27b': EFFORT_NONE_LOW_TO_HIGH, - 'Qwen3.8-27B': EFFORT_LOW_MEDIUM_XHIGH, 'qwen3.8-flash': EFFORT_NONE_MINIMAL_TO_MAX, 'qwen3.8-omni-flash': EFFORT_NONE_MINIMAL_TO_MAX, 'qwen35-397b-a17b': EFFORT_NONE_MINIMAL_TO_MAX, - 'seed-1-6-250615': EFFORT_MINIMAL_TO_HIGH, - 'seed-1-6-250915': EFFORT_MINIMAL_TO_HIGH, - 'seed-1-6-flash-250715': EFFORT_MINIMAL_TO_HIGH, - 'seed-1-8-251228': EFFORT_MINIMAL_TO_HIGH, 'seed-2-0-code-preview-260328': EFFORT_MINIMAL_TO_HIGH, 'seed-2-0-lite-260428': EFFORT_MINIMAL_TO_HIGH, 'seed-2-0-mini-260428': EFFORT_MINIMAL_TO_HIGH, diff --git a/packages/ai-neon/src/model-meta.ts b/packages/ai-neon/src/model-meta.ts index b40b832ff4..be70fc442e 100644 --- a/packages/ai-neon/src/model-meta.ts +++ b/packages/ai-neon/src/model-meta.ts @@ -58,8 +58,8 @@ export const NEON_CHAT_MODELS = [ 'gpt-oss-20b', 'grok-4-6', 'grok-4-7', - 'inkling', 'kimi-k3', + 'kimi-k3-1-pro', 'llama-4-maverick', 'meta-llama-3-1-8b-instruct', 'meta-llama-3-3-70b-instruct', @@ -230,8 +230,8 @@ export const NEON_MODEL_INPUT_MODALITIES = { 'gpt-oss-20b': ['text'], 'grok-4-6': ['text', 'image'], 'grok-4-7': ['text'], - inkling: ['text', 'image', 'audio'], 'kimi-k3': ['text', 'image', 'video'], + 'kimi-k3-1-pro': ['text', 'image'], 'llama-4-maverick': ['text', 'image'], 'meta-llama-3-1-8b-instruct': ['text'], 'meta-llama-3-3-70b-instruct': ['text'], @@ -348,8 +348,8 @@ const NEON_REASONING = { 'gpt-oss-20b': EFFORT_LOW_TO_HIGH, 'grok-4-6': EFFORT_LOW_TO_XHIGH, 'grok-4-7': EFFORT_LOW_TO_XHIGH, - inkling: EFFORT_NONE_MINIMAL_TO_HIGH_MAX, 'kimi-k3': EFFORT_NONE_MINIMAL_TO_HIGH_MAX, + 'kimi-k3-1-pro': EFFORT_NONE_MINIMAL_TO_HIGH_MAX, 'qwen35-122b-a10b': EFFORT_NONE_LOW_TO_HIGH, } satisfies Partial> diff --git a/packages/ai-openrouter/src/model-meta.ts b/packages/ai-openrouter/src/model-meta.ts index 928f295cd3..1c7753b685 100644 --- a/packages/ai-openrouter/src/model-meta.ts +++ b/packages/ai-openrouter/src/model-meta.ts @@ -234,11 +234,11 @@ const _ANTHROPIC_CLAUDE_FABLE_LATEST = { pricing: { text: { input: { - normal: 10, - cached: 12.75, + normal: 8, + cached: 10.2, }, output: { - normal: 50, + normal: 40, }, }, image: 0, @@ -367,8 +367,8 @@ const _DEEPSEEK_DEEPSEEK_FLASH_LATEST = { pricing: { text: { input: { - normal: 0.006, - cached: 0.005, + normal: 0.038, + cached: 0.01, }, output: { normal: 0.5, @@ -405,8 +405,8 @@ const _DEEPSEEK_DEEPSEEK_PRO_LATEST = { pricing: { text: { input: { - normal: 0.0927, - cached: 0.0927, + normal: 0.0999, + cached: 0.0999, }, output: { normal: 8, @@ -444,7 +444,7 @@ const _DEEPSEEK_DEEPSEEK_V4_FLASH_LATEST = { pricing: { text: { input: { - normal: 0.059, + normal: 0.0434, cached: 0.035, }, output: { @@ -459,7 +459,7 @@ const _GOOGLE_GEMINI_FLASH_LATEST = { id: '~google/gemini-flash-latest', name: 'Google: Gemini Flash Latest', supports: { - input: ['text', 'image', 'video', 'document', 'audio'], + input: ['audio', 'document', 'image', 'text', 'video'], output: ['text'], supports: [ 'maxCompletionTokens', @@ -473,18 +473,18 @@ const _GOOGLE_GEMINI_FLASH_LATEST = { ], }, context_window: 1048576, - max_output_tokens: 65536, + max_output_tokens: 943718, pricing: { text: { input: { - normal: 0.75, - cached: 0.1166666667, + normal: 1.5, + cached: 0.1583333333, }, output: { - normal: 3.75, + normal: 7.5, }, }, - image: 7.5e-7, + image: 0.0000015, }, reasoning: EFFORT_LOW_TO_HIGH, } as const @@ -532,8 +532,6 @@ const _MOONSHOTAI_KIMI_LATEST = { 'logitBias', 'logprobs', 'maxCompletionTokens', - 'maxCompletionTokens', - 'parallelToolCalls', 'presencePenalty', 'reasoning', 'responseFormat', @@ -550,11 +548,11 @@ const _MOONSHOTAI_KIMI_LATEST = { pricing: { text: { input: { - normal: 0.1529, - cached: 0.15, + normal: 0.1824, + cached: 0.18, }, output: { - normal: 9.3388, + normal: 11.0055, }, }, image: 0, @@ -802,11 +800,11 @@ const _Z_AI_GLM_FLASH_LATEST = { pricing: { text: { input: { - normal: 0.0285, - cached: 0.0285, + normal: 0.0399, + cached: 0.03, }, output: { - normal: 0.0923, + normal: 0.0784, }, }, image: 0, @@ -1179,7 +1177,7 @@ const ANTHRACITE_ORG_MAGNUM_V4_72B = { text: { input: { normal: 2.5, - cached: 0, + cached: 2.5, }, output: { normal: 5, @@ -1310,6 +1308,65 @@ const ANTHROPIC_CLAUDE_FABLE_5_1_BATCH = { }, reasoning: EFFORT_LOW_TO_MAX, } as const +const ANTHROPIC_CLAUDE_FABLE_5_2 = { + id: 'anthropic/claude-fable-5.2', + name: 'Anthropic: Claude Fable 5.2', + supports: { + input: ['text', 'image', 'document'], + output: ['text'], + supports: [ + 'maxCompletionTokens', + 'maxCompletionTokens', + 'reasoning', + 'responseFormat', + 'stop', + 'toolChoice', + ], + }, + context_window: 1000000, + max_output_tokens: 128000, + pricing: { + text: { + input: { + normal: 8, + cached: 10.2, + }, + output: { + normal: 40, + }, + }, + image: 0, + }, +} as const +const ANTHROPIC_CLAUDE_FABLE_5_2_BATCH = { + id: 'anthropic/claude-fable-5.2:batch', + name: 'Anthropic: Claude Fable 5.2 (batch)', + supports: { + input: ['text', 'image', 'document'], + output: ['text'], + supports: [ + 'maxCompletionTokens', + 'reasoning', + 'responseFormat', + 'stop', + 'toolChoice', + ], + }, + context_window: 1000000, + max_output_tokens: 128000, + pricing: { + text: { + input: { + normal: 4, + cached: 5.1, + }, + output: { + normal: 20, + }, + }, + image: 0, + }, +} as const const ANTHROPIC_CLAUDE_HAIKU_4_5 = { id: 'anthropic/claude-haiku-4.5', name: 'Anthropic: Claude Haiku 4.5', @@ -2120,71 +2177,65 @@ const ANTHROPIC_CLAUDE_SONNET_5_5_BATCH = { }, reasoning: EFFORT_LOW_TO_MAX, } as const -const BYTEDANCE_SEED_SEED_1_6 = { - id: 'bytedance-seed/seed-1.6', - name: 'ByteDance Seed: Seed 1.6', +const BAIDU_ERNIE_5_5_FLASH_PREVIEW_FREE = { + id: 'baidu/ernie-5.5-flash-preview:free', + name: 'Baidu: ERNIE-5.5-Flash-Preview (free)', supports: { - input: ['image', 'text', 'video'], + input: ['text'], output: ['text'], supports: [ - 'frequencyPenalty', 'maxCompletionTokens', 'reasoning', 'responseFormat', - 'stop', 'temperature', 'toolChoice', 'topP', ], }, - context_window: 262144, - max_output_tokens: 32768, + context_window: 1024000, + max_output_tokens: 921600, pricing: { text: { input: { - normal: 0.25, + normal: 0, cached: 0, }, output: { - normal: 2, + normal: 0, }, }, image: 0, }, - reasoning: EFFORT_OFF_HIGH, } as const -const BYTEDANCE_SEED_SEED_1_6_FLASH = { - id: 'bytedance-seed/seed-1.6-flash', - name: 'ByteDance Seed: Seed 1.6 Flash', +const BAIDU_ERNIE_LIGHT_DT_1_0_INTL = { + id: 'baidu/ernie-light-dt-1.0-intl', + name: 'Baidu: ERNIE-Light-DT-1.0', supports: { - input: ['image', 'text', 'video'], + input: ['text'], output: ['text'], supports: [ - 'frequencyPenalty', 'maxCompletionTokens', 'reasoning', 'responseFormat', - 'stop', 'temperature', 'toolChoice', 'topP', ], }, - context_window: 262144, - max_output_tokens: 32768, + context_window: 1024000, + max_output_tokens: 131072, pricing: { text: { input: { - normal: 0.075, - cached: 0, + normal: 1.13, + cached: 0.113, }, output: { - normal: 0.3, + normal: 3.94, }, }, image: 0, }, - reasoning: EFFORT_OFF_HIGH, } as const const BYTEDANCE_SEED_SEED_2_1_TURBO = { id: 'bytedance-seed/seed-2-1-turbo', @@ -2219,39 +2270,6 @@ const BYTEDANCE_SEED_SEED_2_1_TURBO = { }, reasoning: EFFORT_OFF_HIGH, } as const -const BYTEDANCE_SEED_SEED_2_0_CODE = { - id: 'bytedance-seed/seed-2.0-code', - name: 'ByteDance Seed: Seed-2.0-Code', - supports: { - input: ['text', 'image', 'video'], - output: ['text'], - supports: [ - 'frequencyPenalty', - 'maxCompletionTokens', - 'reasoning', - 'responseFormat', - 'stop', - 'temperature', - 'toolChoice', - 'topP', - ], - }, - context_window: 262144, - max_output_tokens: 131072, - pricing: { - text: { - input: { - normal: 0.5, - cached: 0, - }, - output: { - normal: 3, - }, - }, - image: 0, - }, - reasoning: EFFORT_NONE_LOW_TO_HIGH, -} as const const BYTEDANCE_SEED_SEED_2_0_LITE = { id: 'bytedance-seed/seed-2.0-lite', name: 'ByteDance Seed: Seed-2.0-Lite', @@ -2397,6 +2415,7 @@ const COHERE_COMMAND_A = { 'seed', 'stop', 'temperature', + 'toolChoice', 'topP', ], }, @@ -2430,6 +2449,7 @@ const COHERE_COMMAND_A_PLUS = { 'seed', 'stop', 'temperature', + 'toolChoice', 'topP', ], }, @@ -2529,6 +2549,7 @@ const COHERE_COMMAND_R7B_12_2024 = { 'seed', 'stop', 'temperature', + 'toolChoice', 'topP', ], }, @@ -2850,15 +2871,15 @@ const DEEPSEEK_DEEPSEEK_V4_FLASH = { ], }, context_window: 1048576, - max_output_tokens: 943717, + max_output_tokens: 393216, pricing: { text: { input: { - normal: 0.091, - cached: 0.0182, + normal: 0.09, + cached: 0.018, }, output: { - normal: 0.182, + normal: 0.18, }, }, image: 0, @@ -2893,7 +2914,7 @@ const DEEPSEEK_DEEPSEEK_V4_FLASH_0731 = { pricing: { text: { input: { - normal: 0.059, + normal: 0.0434, cached: 0.035, }, output: { @@ -2904,6 +2925,41 @@ const DEEPSEEK_DEEPSEEK_V4_FLASH_0731 = { }, reasoning: EFFORT_NONE_LOW_HIGH_MAX, } as const +const DEEPSEEK_DEEPSEEK_V4_FLASH_0731_BATCH = { + id: 'deepseek/deepseek-v4-flash-0731:batch', + name: 'DeepSeek: DeepSeek V4 Flash 0731 (batch)', + supports: { + input: ['text'], + output: ['text'], + supports: [ + 'frequencyPenalty', + 'logitBias', + 'maxCompletionTokens', + 'presencePenalty', + 'reasoning', + 'responseFormat', + 'seed', + 'stop', + 'temperature', + 'toolChoice', + 'topP', + ], + }, + context_window: 1048576, + max_output_tokens: 384000, + pricing: { + text: { + input: { + normal: 0.048, + cached: 0.012, + }, + output: { + normal: 0.144, + }, + }, + image: 0, + }, +} as const const DEEPSEEK_DEEPSEEK_V4_FLASH_VISION_EXP = { id: 'deepseek/deepseek-v4-flash-vision-exp', name: 'DeepSeek: DeepSeek V4 Flash Vision Exp', @@ -2966,15 +3022,15 @@ const DEEPSEEK_DEEPSEEK_V4_PRO = { ], }, context_window: 1048576, - max_output_tokens: 384000, + max_output_tokens: 393216, pricing: { text: { input: { - normal: 0.95526, - cached: 0.079605, + normal: 0.9, + cached: 0.25, }, output: { - normal: 1.91052, + normal: 1.5, }, }, image: 0, @@ -3008,11 +3064,11 @@ const DEEPSEEK_DEEPSEEK_V4_PRO_0813 = { pricing: { text: { input: { - normal: 0.103, - cached: 0.098, + normal: 0.111, + cached: 0.097, }, output: { - normal: 4.11, + normal: 4.44, }, }, image: 0, @@ -3043,15 +3099,15 @@ const DEEPSEEK_DEEPSEEK_V4_1_FLASH = { ], }, context_window: 1048576, - max_output_tokens: 943718, + max_output_tokens: 393216, pricing: { text: { input: { - normal: 0.045, - cached: 0.018, + normal: 0.0507, + cached: 0.001014, }, output: { - normal: 0.5, + normal: 0.2028, }, }, image: 0, @@ -3083,15 +3139,52 @@ const DEEPSEEK_DEEPSEEK_V4_1_FLASH_1017 = { ], }, context_window: 1048576, - max_output_tokens: 393216, + max_output_tokens: 943718, pricing: { text: { input: { - normal: 0.3, - cached: 0.006, + normal: 0.038, + cached: 0.01, }, output: { - normal: 1.2, + normal: 0.5, + }, + }, + image: 0, + }, +} as const +const DEEPSEEK_DEEPSEEK_V4_1_FLASH_1017_BATCH = { + id: 'deepseek/deepseek-v4.1-flash-1017:batch', + name: 'DeepSeek: DeepSeek V4.1 Flash 1017 (batch)', + supports: { + input: ['text', 'image'], + output: ['text'], + supports: [ + 'frequencyPenalty', + 'logitBias', + 'logprobs', + 'maxCompletionTokens', + 'presencePenalty', + 'reasoning', + 'responseFormat', + 'seed', + 'stop', + 'temperature', + 'toolChoice', + 'topLogprobs', + 'topP', + ], + }, + context_window: 1048576, + max_output_tokens: 384000, + pricing: { + text: { + input: { + normal: 0.05, + cached: 0.004, + }, + output: { + normal: 0.15, }, }, image: 0, @@ -3106,6 +3199,7 @@ const DEEPSEEK_DEEPSEEK_V4_1_FLASH_BATCH = { supports: [ 'frequencyPenalty', 'logitBias', + 'logprobs', 'maxCompletionTokens', 'presencePenalty', 'reasoning', @@ -3114,6 +3208,7 @@ const DEEPSEEK_DEEPSEEK_V4_1_FLASH_BATCH = { 'stop', 'temperature', 'toolChoice', + 'topLogprobs', 'topP', ], }, @@ -4204,58 +4299,186 @@ const GOOGLE_GEMINI_4_ARGON_BATCH = { image: 0.000001, }, } as const -const GOOGLE_GEMINI_NANO_BANANA_2_1 = { - id: 'google/gemini-nano-banana-2.1', - name: 'Google: Nano Banana 2.1', +const GOOGLE_GEMINI_4_CARBON = { + id: 'google/gemini-4-carbon', + name: 'Google: Gemini 4 Carbon', supports: { - input: ['image', 'text'], - output: ['image', 'text'], + input: ['audio', 'document', 'image', 'text', 'video'], + output: ['text'], supports: [ 'maxCompletionTokens', 'reasoning', 'responseFormat', 'seed', + 'stop', 'temperature', 'toolChoice', 'topP', ], }, - context_window: 65536, - max_output_tokens: 58982, + context_window: 1048576, + max_output_tokens: 943718, pricing: { text: { input: { - normal: 1.5, - cached: 0, + normal: 2, + cached: 0.2875, }, output: { - normal: 7.5, + normal: 10, }, }, - image: 0, + image: 0.000002, }, } as const -const GOOGLE_GEMINI_OMNI_1_1_FLASH = { - id: 'google/gemini-omni-1.1-flash', - name: 'Google: Gemini Omni 1.1 Flash', +const GOOGLE_GEMINI_4_CARBON_BATCH = { + id: 'google/gemini-4-carbon:batch', + name: 'Google: Gemini 4 Carbon (batch)', supports: { - input: ['text', 'image', 'video'], - output: ['text', 'video'], + input: ['audio', 'document', 'image', 'text', 'video'], + output: ['text'], supports: [ 'maxCompletionTokens', 'reasoning', + 'responseFormat', 'seed', + 'stop', 'temperature', + 'toolChoice', 'topP', ], }, - context_window: 131072, - max_output_tokens: 65536, + context_window: 1048576, + max_output_tokens: 943718, pricing: { text: { input: { - normal: 1.5, - cached: 0, + normal: 1, + cached: 0.2375, + }, + output: { + normal: 5, + }, + }, + image: 0.000001, + }, +} as const +const GOOGLE_GEMINI_4_HYDROGEN = { + id: 'google/gemini-4-hydrogen', + name: 'Google: Gemini 4 Hydrogen', + supports: { + input: ['audio', 'document', 'image', 'text', 'video'], + output: ['text'], + supports: [ + 'maxCompletionTokens', + 'reasoning', + 'responseFormat', + 'seed', + 'stop', + 'temperature', + 'toolChoice', + 'topP', + ], + }, + context_window: 1048576, + max_output_tokens: 943718, + pricing: { + text: { + input: { + normal: 1.5, + cached: 0.1583333333, + }, + output: { + normal: 7.5, + }, + }, + image: 0.0000015, + }, +} as const +const GOOGLE_GEMINI_4_HYDROGEN_BATCH = { + id: 'google/gemini-4-hydrogen:batch', + name: 'Google: Gemini 4 Hydrogen (batch)', + supports: { + input: ['audio', 'document', 'image', 'text', 'video'], + output: ['text'], + supports: [ + 'maxCompletionTokens', + 'reasoning', + 'responseFormat', + 'seed', + 'stop', + 'temperature', + 'toolChoice', + 'topP', + ], + }, + context_window: 1048576, + max_output_tokens: 943718, + pricing: { + text: { + input: { + normal: 0.75, + cached: 0.12083333330000001, + }, + output: { + normal: 3.75, + }, + }, + image: 7.5e-7, + }, +} as const +const GOOGLE_GEMINI_NANO_BANANA_2_1 = { + id: 'google/gemini-nano-banana-2.1', + name: 'Google: Nano Banana 2.1', + supports: { + input: ['image', 'text'], + output: ['image', 'text'], + supports: [ + 'maxCompletionTokens', + 'reasoning', + 'responseFormat', + 'seed', + 'temperature', + 'toolChoice', + 'topP', + ], + }, + context_window: 65536, + max_output_tokens: 58982, + pricing: { + text: { + input: { + normal: 1.5, + cached: 0, + }, + output: { + normal: 7.5, + }, + }, + image: 0, + }, +} as const +const GOOGLE_GEMINI_OMNI_1_1_FLASH = { + id: 'google/gemini-omni-1.1-flash', + name: 'Google: Gemini Omni 1.1 Flash', + supports: { + input: ['text', 'image', 'video'], + output: ['text', 'video'], + supports: [ + 'maxCompletionTokens', + 'reasoning', + 'seed', + 'temperature', + 'topP', + ], + }, + context_window: 131072, + max_output_tokens: 65536, + pricing: { + text: { + input: { + normal: 1.5, + cached: 0, }, output: { normal: 9, @@ -4458,11 +4681,11 @@ const GOOGLE_GEMMA_4_26B_A4B_IT = { pricing: { text: { input: { - normal: 0.0765, - cached: 0.0425, + normal: 0.0675, + cached: 0.0375, }, output: { - normal: 0.255, + normal: 0.225, }, }, image: 0, @@ -4703,98 +4926,6 @@ const IBM_GRANITE_GRANITE_4_2_8B = { }, reasoning: EFFORT_NONE_LOW_HIGH, } as const -const INCEPTION_MERCURY_2 = { - id: 'inception/mercury-2', - name: 'Inception: Mercury 2', - supports: { - input: ['text'], - output: ['text'], - supports: [ - 'maxCompletionTokens', - 'reasoning', - 'responseFormat', - 'stop', - 'temperature', - 'toolChoice', - ], - }, - context_window: 128000, - max_output_tokens: 50000, - pricing: { - text: { - input: { - normal: 0.25, - cached: 0.025, - }, - output: { - normal: 0.75, - }, - }, - image: 0, - }, - reasoning: EFFORT_NONE_LOW_TO_HIGH, -} as const -const INCEPTION_MERCURY_2_5 = { - id: 'inception/mercury-2.5', - name: 'Inception: Mercury 2.5', - supports: { - input: ['text'], - output: ['text'], - supports: [ - 'maxCompletionTokens', - 'reasoning', - 'responseFormat', - 'stop', - 'temperature', - 'toolChoice', - ], - }, - context_window: 260000, - max_output_tokens: 65536, - pricing: { - text: { - input: { - normal: 0.04, - cached: 0.004, - }, - output: { - normal: 0.15, - }, - }, - image: 0, - }, - reasoning: EFFORT_NONE_LOW_TO_HIGH, -} as const -const INCEPTION_MERCURY_3 = { - id: 'inception/mercury-3', - name: 'Inception: Mercury 3', - supports: { - input: ['text'], - output: ['text'], - supports: [ - 'maxCompletionTokens', - 'reasoning', - 'responseFormat', - 'stop', - 'temperature', - 'toolChoice', - ], - }, - context_window: 1000000, - max_output_tokens: 131072, - pricing: { - text: { - input: { - normal: 0.1, - cached: 0.01, - }, - output: { - normal: 0.35, - }, - }, - image: 0, - }, -} as const const INCLUSIONAI_LING_3_0_FLASH = { id: 'inclusionai/ling-3.0-flash', name: 'inclusionAI: Ling 3.0 Flash', @@ -4913,12 +5044,10 @@ const INCLUSIONAI_LING_3_1_FLASH = { output: ['text'], supports: [ 'frequencyPenalty', - 'logitBias', 'logprobs', 'maxCompletionTokens', 'presencePenalty', 'reasoning', - 'responseFormat', 'seed', 'stop', 'temperature', @@ -4932,11 +5061,45 @@ const INCLUSIONAI_LING_3_1_FLASH = { pricing: { text: { input: { - normal: 0.075, - cached: 0.015, + normal: 0.045, + cached: 0.009, }, output: { - normal: 0.225, + normal: 0.135, + }, + }, + image: 0, + }, +} as const +const INCLUSIONAI_LING_3_2_FLASH_FREE = { + id: 'inclusionai/ling-3.2-flash:free', + name: 'inclusionAI: Ling 3.2 Flash (free)', + supports: { + input: ['text', 'image'], + output: ['text'], + supports: [ + 'frequencyPenalty', + 'maxCompletionTokens', + 'presencePenalty', + 'reasoning', + 'responseFormat', + 'seed', + 'stop', + 'temperature', + 'toolChoice', + 'topP', + ], + }, + context_window: 1048576, + max_output_tokens: 262144, + pricing: { + text: { + input: { + normal: 0, + cached: 0, + }, + output: { + normal: 0, }, }, image: 0, @@ -5008,9 +5171,43 @@ const INFERENCE_NET_SCHEMATRON_V2_TURBO = { image: 0, }, } as const -const LIQUID_LFM_2_5_2_6B = { - id: 'liquid/lfm-2.5-2.6b', - name: 'LiquidAI: LFM2.5-2.6B', +const KT_MIDM_K_3_0_PRO = { + id: 'kt/midm-k-3.0-pro', + name: 'KT: Mi:dm K 3.0 Pro', + supports: { + input: ['text'], + output: ['text'], + supports: [ + 'frequencyPenalty', + 'logprobs', + 'maxCompletionTokens', + 'presencePenalty', + 'reasoning', + 'responseFormat', + 'temperature', + 'toolChoice', + 'topLogprobs', + 'topP', + ], + }, + context_window: 261795, + max_output_tokens: 235615, + pricing: { + text: { + input: { + normal: 0.2, + cached: 0.04, + }, + output: { + normal: 0.8, + }, + }, + image: 0, + }, +} as const +const LIQUID_LFM_2_5_24B_A2B = { + id: 'liquid/lfm-2.5-24b-a2b', + name: 'LiquidAI: LFM2.5-24B-A2B', supports: { input: ['text'], output: ['text'], @@ -5035,19 +5232,19 @@ const LIQUID_LFM_2_5_2_6B = { pricing: { text: { input: { - normal: 0.35, - cached: 0.04, + normal: 0.05, + cached: 0.025, }, output: { - normal: 0.5, + normal: 0.7, }, }, image: 0, }, } as const -const LIQUID_LFM_2_5_2_6B_FREE = { - id: 'liquid/lfm-2.5-2.6b:free', - name: 'LiquidAI: LFM2.5-2.6B (free)', +const LIQUID_LFM_3_1_7B = { + id: 'liquid/lfm-3-1.7b', + name: 'LiquidAI: LFM3-1.7B', supports: { input: ['text'], output: ['text'], @@ -5067,25 +5264,24 @@ const LIQUID_LFM_2_5_2_6B_FREE = { 'topP', ], }, - context_window: 65536, + context_window: 262144, max_output_tokens: 8192, pricing: { text: { input: { - normal: 0, - cached: 0, + normal: 0.08, + cached: 0.02, }, output: { - normal: 0, + normal: 0.2, }, }, image: 0, }, - reasoning: EFFORT_MINIMAL_TO_HIGH, } as const -const LIQUID_LFM_2_5_24B_A2B = { - id: 'liquid/lfm-2.5-24b-a2b', - name: 'LiquidAI: LFM2.5-24B-A2B', +const LIQUID_LFM_3_1_7B_FREE = { + id: 'liquid/lfm-3-1.7b:free', + name: 'LiquidAI: LFM3-1.7B (free)', supports: { input: ['text'], output: ['text'], @@ -5105,16 +5301,16 @@ const LIQUID_LFM_2_5_24B_A2B = { 'topP', ], }, - context_window: 128000, + context_window: 262144, max_output_tokens: 8192, pricing: { text: { input: { - normal: 0.05, - cached: 0.025, + normal: 0, + cached: 0, }, output: { - normal: 0.7, + normal: 0, }, }, image: 0, @@ -5145,11 +5341,11 @@ const MANCER_WEAVER = { pricing: { text: { input: { - normal: 0.4, - cached: 0, + normal: 0.3, + cached: 0.3, }, output: { - normal: 0.75, + normal: 0.5, }, }, image: 0, @@ -5196,7 +5392,13 @@ const META_LLAMA_LLAMA_3_1_70B_INSTRUCT = { supports: { input: ['text'], output: ['text'], - supports: ['maxCompletionTokens', 'stop', 'temperature', 'topP'], + supports: [ + 'maxCompletionTokens', + 'stop', + 'temperature', + 'toolChoice', + 'topP', + ], }, context_window: 131072, max_output_tokens: 8192, @@ -5235,15 +5437,15 @@ const META_LLAMA_LLAMA_3_1_8B_INSTRUCT = { ], }, context_window: 131072, - max_output_tokens: 117964, + max_output_tokens: 16384, pricing: { text: { input: { - normal: 0.05, - cached: 0.025, + normal: 0.02, + cached: 0, }, output: { - normal: 0.08, + normal: 0.04, }, }, image: 0, @@ -5337,15 +5539,15 @@ const META_LLAMA_LLAMA_3_3_70B_INSTRUCT = { ], }, context_window: 131072, - max_output_tokens: 32768, + max_output_tokens: 115200, pricing: { text: { input: { - normal: 0.59, - cached: 0.295, + normal: 0.71, + cached: 0.71, }, output: { - normal: 0.79, + normal: 0.71, }, }, image: 0, @@ -5381,81 +5583,150 @@ const META_LLAMA_LLAMA_4_MAVERICK = { cached: 0.17, }, output: { - normal: 1, + normal: 1, + }, + }, + image: 0, + }, +} as const +const META_LLAMA_LLAMA_4_SCOUT = { + id: 'meta-llama/llama-4-scout', + name: 'Meta: Llama 4 Scout', + supports: { + input: ['text', 'image'], + output: ['text'], + supports: [ + 'frequencyPenalty', + 'logitBias', + 'maxCompletionTokens', + 'presencePenalty', + 'responseFormat', + 'seed', + 'stop', + 'temperature', + 'toolChoice', + 'topP', + ], + }, + context_window: 1310720, + max_output_tokens: 16384, + pricing: { + text: { + input: { + normal: 0.1, + cached: 0, + }, + output: { + normal: 0.3, + }, + }, + image: 0, + }, +} as const +const META_LLAMA_LLAMA_GUARD_4_12B = { + id: 'meta-llama/llama-guard-4-12b', + name: 'Meta: Llama Guard 4 12B', + supports: { + input: ['image', 'text'], + output: ['text'], + supports: [ + 'frequencyPenalty', + 'logitBias', + 'maxCompletionTokens', + 'presencePenalty', + 'seed', + 'stop', + 'temperature', + 'topP', + ], + }, + context_window: 163840, + max_output_tokens: 16384, + pricing: { + text: { + input: { + normal: 0.18, + cached: 0, + }, + output: { + normal: 0.18, }, }, image: 0, }, } as const -const META_LLAMA_LLAMA_4_SCOUT = { - id: 'meta-llama/llama-4-scout', - name: 'Meta: Llama 4 Scout', +const META_MUSE_EMBER = { + id: 'meta/muse-ember', + name: 'Meta: Muse Ember', supports: { - input: ['text', 'image'], + input: ['text', 'image', 'video', 'document', 'audio'], output: ['text'], supports: [ - 'frequencyPenalty', - 'logitBias', 'maxCompletionTokens', - 'presencePenalty', + 'reasoning', 'responseFormat', 'seed', - 'stop', 'temperature', 'toolChoice', 'topP', ], }, - context_window: 1310720, - max_output_tokens: 16384, + context_window: 1048576, + max_output_tokens: 943718, pricing: { text: { input: { normal: 0.1, - cached: 0, + cached: 0.129, }, output: { - normal: 0.3, + normal: 0.5, }, }, image: 0, }, } as const -const META_LLAMA_LLAMA_GUARD_4_12B = { - id: 'meta-llama/llama-guard-4-12b', - name: 'Meta: Llama Guard 4 12B', +const META_MUSE_GLIMMER_30B = { + id: 'meta/muse-glimmer-30b', + name: 'Meta: Muse Glimmer 30B', supports: { - input: ['image', 'text'], + input: ['text', 'image'], output: ['text'], supports: [ 'frequencyPenalty', 'logitBias', + 'logprobs', 'maxCompletionTokens', 'presencePenalty', + 'reasoning', + 'responseFormat', 'seed', 'stop', 'temperature', + 'toolChoice', + 'topLogprobs', 'topP', ], }, - context_window: 163840, + context_window: 131072, max_output_tokens: 16384, pricing: { text: { input: { - normal: 0.18, - cached: 0, + normal: 0.3, + cached: 0.04, }, output: { - normal: 0.18, + normal: 1.2, }, }, image: 0, }, + reasoning: EFFORT_LOW_TO_XHIGH, } as const -const META_MUSE_GLIMMER_30B = { - id: 'meta/muse-glimmer-30b', - name: 'Meta: Muse Glimmer 30B', +const META_MUSE_GLIMMER_30B_BATCH = { + id: 'meta/muse-glimmer-30b:batch', + name: 'Meta: Muse Glimmer 30B (batch)', supports: { input: ['text', 'image'], output: ['text'], @@ -5478,16 +5749,15 @@ const META_MUSE_GLIMMER_30B = { pricing: { text: { input: { - normal: 0.3, - cached: 0.04, + normal: 0.24, + cached: 0.032, }, output: { - normal: 1.2, + normal: 0.96, }, }, image: 0, }, - reasoning: EFFORT_LOW_TO_XHIGH, } as const const META_MUSE_SPARK_1_1 = { id: 'meta/muse-spark-1.1', @@ -5592,6 +5862,7 @@ const META_MUSE_SPARK_1_3 = { 'maxCompletionTokens', 'reasoning', 'responseFormat', + 'seed', 'temperature', 'toolChoice', 'topP', @@ -5691,6 +5962,7 @@ const META_MUSE_WONDER = { 'maxCompletionTokens', 'reasoning', 'responseFormat', + 'seed', 'temperature', 'toolChoice', 'topP', @@ -5744,40 +6016,6 @@ const MICROSOFT_PHI_4 = { image: 0, }, } as const -const MINIMAX_MINIMAX_M1 = { - id: 'minimax/minimax-m1', - name: 'MiniMax: MiniMax M1', - supports: { - input: ['text'], - output: ['text'], - supports: [ - 'frequencyPenalty', - 'maxCompletionTokens', - 'presencePenalty', - 'reasoning', - 'seed', - 'stop', - 'temperature', - 'toolChoice', - 'topP', - ], - }, - context_window: 1000000, - max_output_tokens: 40000, - pricing: { - text: { - input: { - normal: 0.55, - cached: 0, - }, - output: { - normal: 2.2, - }, - }, - image: 0, - }, - reasoning: EFFORT_OFF_HIGH, -} as const const MINIMAX_MINIMAX_M2_5 = { id: 'minimax/minimax-m2.5', name: 'MiniMax: MiniMax M2.5', @@ -5800,7 +6038,7 @@ const MINIMAX_MINIMAX_M2_5 = { 'topP', ], }, - context_window: 204800, + context_window: 198000, max_output_tokens: 32768, pricing: { text: { @@ -5823,10 +6061,7 @@ const MINIMAX_MINIMAX_M2_7 = { input: ['text'], output: ['text'], supports: [ - 'frequencyPenalty', - 'logitBias', 'maxCompletionTokens', - 'presencePenalty', 'reasoning', 'responseFormat', 'seed', @@ -5836,7 +6071,7 @@ const MINIMAX_MINIMAX_M2_7 = { 'topP', ], }, - context_window: 204800, + context_window: 196608, max_output_tokens: 176947, pricing: { text: { @@ -5890,6 +6125,41 @@ const MINIMAX_MINIMAX_M3 = { }, reasoning: EFFORT_OFF_HIGH, } as const +const MINIMAX_MINIMAX_M3_BATCH = { + id: 'minimax/minimax-m3:batch', + name: 'MiniMax: MiniMax M3 (batch)', + supports: { + input: ['text', 'image', 'video'], + output: ['text'], + supports: [ + 'frequencyPenalty', + 'logitBias', + 'maxCompletionTokens', + 'presencePenalty', + 'reasoning', + 'responseFormat', + 'seed', + 'stop', + 'temperature', + 'toolChoice', + 'topP', + ], + }, + context_window: 524288, + max_output_tokens: 512000, + pricing: { + text: { + input: { + normal: 0.224, + cached: 0.0448, + }, + output: { + normal: 0.88, + }, + }, + image: 0, + }, +} as const const MINIMAX_MINIMAX_M3_1_FLASH = { id: 'minimax/minimax-m3.1-flash', name: 'MiniMax: MiniMax M3.1 Flash', @@ -6557,15 +6827,15 @@ const MISTRALAI_MISTRAL_SMALL_3_2_24B_INSTRUCT = { ], }, context_window: 256000, - max_output_tokens: 16384, + max_output_tokens: 26214, pricing: { text: { input: { - normal: 0.075, - cached: 0, + normal: 0.1, + cached: 0.01, }, output: { - normal: 0.2, + normal: 0.3, }, }, image: 0, @@ -6735,6 +7005,7 @@ const MOONSHOTAI_KIMI_K2_0905 = { output: ['text'], supports: [ 'frequencyPenalty', + 'logprobs', 'maxCompletionTokens', 'presencePenalty', 'responseFormat', @@ -6742,6 +7013,7 @@ const MOONSHOTAI_KIMI_K2_0905 = { 'stop', 'temperature', 'toolChoice', + 'topLogprobs', 'topP', ], }, @@ -6922,8 +7194,6 @@ const MOONSHOTAI_KIMI_K3 = { 'logitBias', 'logprobs', 'maxCompletionTokens', - 'maxCompletionTokens', - 'parallelToolCalls', 'presencePenalty', 'reasoning', 'responseFormat', @@ -6957,76 +7227,190 @@ const MOONSHOTAI_KIMI_K3_BATCH = { supports: { input: ['text', 'image', 'video'], output: ['text'], - supports: [ - 'frequencyPenalty', - 'logitBias', - 'maxCompletionTokens', - 'presencePenalty', - 'reasoning', - 'responseFormat', - 'seed', - 'stop', - 'temperature', - 'toolChoice', - 'topP', - ], + supports: [ + 'frequencyPenalty', + 'logitBias', + 'maxCompletionTokens', + 'presencePenalty', + 'reasoning', + 'responseFormat', + 'seed', + 'stop', + 'temperature', + 'toolChoice', + 'topP', + ], + }, + context_window: 1048576, + max_output_tokens: 16384, + pricing: { + text: { + input: { + normal: 2.28, + cached: 0.228, + }, + output: { + normal: 11.4, + }, + }, + image: 0, + }, + reasoning: EFFORT_LOW_HIGH_MAX, +} as const +const MOONSHOTAI_KIMI_K3_1_PRO = { + id: 'moonshotai/kimi-k3.1-pro', + name: 'MoonshotAI: Kimi K3.1 Pro', + supports: { + input: ['text', 'image', 'video'], + output: ['text'], + supports: [ + 'frequencyPenalty', + 'logitBias', + 'logprobs', + 'maxCompletionTokens', + 'presencePenalty', + 'reasoning', + 'responseFormat', + 'seed', + 'stop', + 'temperature', + 'toolChoice', + 'topLogprobs', + 'topP', + ], + }, + context_window: 1048576, + max_output_tokens: 943718, + pricing: { + text: { + input: { + normal: 2, + cached: 0.2, + }, + output: { + normal: 10, + }, + }, + image: 0, + }, +} as const +const MOONSHOTAI_KIMI_K3_1_PRO_BATCH = { + id: 'moonshotai/kimi-k3.1-pro:batch', + name: 'MoonshotAI: Kimi K3.1 Pro (batch)', + supports: { + input: ['text', 'image', 'video'], + output: ['text'], + supports: [ + 'frequencyPenalty', + 'maxCompletionTokens', + 'presencePenalty', + 'reasoning', + 'seed', + 'stop', + 'temperature', + ], + }, + context_window: 1048576, + max_output_tokens: 943718, + pricing: { + text: { + input: { + normal: 0.7, + cached: 0.1, + }, + output: { + normal: 6, + }, + }, + image: 0, + }, +} as const +const MORPH_MORPH_V3_FAST = { + id: 'morph/morph-v3-fast', + name: 'Morph: Morph V3 Fast', + supports: { + input: ['text'], + output: ['text'], + supports: [ + 'logprobs', + 'maxCompletionTokens', + 'responseFormat', + 'stop', + 'temperature', + 'topLogprobs', + ], + }, + context_window: 262144, + max_output_tokens: 131072, + pricing: { + text: { + input: { + normal: 0.8, + cached: 0, + }, + output: { + normal: 1.2, + }, + }, + image: 0, + }, +} as const +const MORPH_MORPH_V3_FAST_BATCH = { + id: 'morph/morph-v3-fast:batch', + name: 'Morph: Morph V3 Fast (batch)', + supports: { + input: ['text'], + output: ['text'], + supports: ['maxCompletionTokens', 'stop', 'temperature'], }, - context_window: 1048576, - max_output_tokens: 16384, + context_window: 81920, + max_output_tokens: 38000, pricing: { text: { input: { - normal: 2.28, - cached: 0.228, + normal: 0.4, + cached: 0, }, output: { - normal: 11.4, + normal: 0.6, }, }, image: 0, }, - reasoning: EFFORT_LOW_HIGH_MAX, } as const -const MOONSHOTAI_KIMI_K3_1_PRO = { - id: 'moonshotai/kimi-k3.1-pro', - name: 'MoonshotAI: Kimi K3.1 Pro', +const MORPH_MORPH_V3_LARGE = { + id: 'morph/morph-v3-large', + name: 'Morph: Morph V3 Large', supports: { - input: ['text', 'image', 'video'], + input: ['text'], output: ['text'], supports: [ - 'frequencyPenalty', - 'logitBias', 'logprobs', 'maxCompletionTokens', - 'presencePenalty', - 'reasoning', 'responseFormat', - 'seed', 'stop', 'temperature', - 'toolChoice', 'topLogprobs', - 'topP', ], }, - context_window: 1048576, - max_output_tokens: 943718, + context_window: 262144, + max_output_tokens: 131072, pricing: { text: { input: { - normal: 2, - cached: 0.2, + normal: 0.9, + cached: 0, }, output: { - normal: 10, + normal: 1.9, }, }, image: 0, }, } as const -const MORPH_MORPH_V3_FAST = { - id: 'morph/morph-v3-fast', - name: 'Morph: Morph V3 Fast', +const MORPH_MORPH_V3_LARGE_BATCH = { + id: 'morph/morph-v3-large:batch', + name: 'Morph: Morph V3 Large (batch)', supports: { input: ['text'], output: ['text'], @@ -7044,41 +7428,45 @@ const MORPH_MORPH_V3_FAST = { pricing: { text: { input: { - normal: 0.8, + normal: 0.45, cached: 0, }, output: { - normal: 1.2, + normal: 0.95, }, }, image: 0, }, } as const -const MORPH_MORPH_V3_LARGE = { - id: 'morph/morph-v3-large', - name: 'Morph: Morph V3 Large', +const MOTIF_TECHNOLOGIES_MOTIF_3 = { + id: 'motif-technologies/motif-3', + name: 'Motif Technologies: Motif 3', supports: { input: ['text'], output: ['text'], supports: [ + 'frequencyPenalty', 'logprobs', 'maxCompletionTokens', + 'presencePenalty', + 'reasoning', 'responseFormat', - 'stop', 'temperature', + 'toolChoice', 'topLogprobs', + 'topP', ], }, context_window: 262144, - max_output_tokens: 131072, + max_output_tokens: 235929, pricing: { text: { input: { - normal: 0.9, - cached: 0, + normal: 0.3, + cached: 0.06, }, output: { - normal: 1.9, + normal: 1.2, }, }, image: 0, @@ -7147,6 +7535,38 @@ const NEX_AGI_NEX_N2_5_PRO = { }, reasoning: EFFORT_NONE_MEDIUM_HIGH, } as const +const NEX_AGI_NEX_N2_6 = { + id: 'nex-agi/nex-n2.6', + name: 'Nex AGI: Nex-N2.6', + supports: { + input: ['text', 'image'], + output: ['text'], + supports: [ + 'logprobs', + 'maxCompletionTokens', + 'reasoning', + 'responseFormat', + 'temperature', + 'toolChoice', + 'topLogprobs', + 'topP', + ], + }, + context_window: 262144, + max_output_tokens: 235929, + pricing: { + text: { + input: { + normal: 0.12, + cached: 0.024, + }, + output: { + normal: 0.4, + }, + }, + image: 0, + }, +} as const const NOUSRESEARCH_HERMES_4_405B = { id: 'nousresearch/hermes-4-405b', name: 'Nous: Hermes 4 405B', @@ -7273,16 +7693,16 @@ const NVIDIA_NEMOTRON_3_SUPER_120B_A12B = { 'topP', ], }, - context_window: 1048576, - max_output_tokens: 262144, + context_window: 262144, + max_output_tokens: 16384, pricing: { text: { input: { - normal: 0.3, - cached: 0.15, + normal: 0.075, + cached: 0, }, output: { - normal: 2.4, + normal: 0.4, }, }, image: 0, @@ -7298,6 +7718,7 @@ const NVIDIA_NEMOTRON_3_ULTRA_550B_A55B = { supports: [ 'frequencyPenalty', 'logitBias', + 'logprobs', 'maxCompletionTokens', 'presencePenalty', 'reasoning', @@ -7306,6 +7727,7 @@ const NVIDIA_NEMOTRON_3_ULTRA_550B_A55B = { 'stop', 'temperature', 'toolChoice', + 'topLogprobs', 'topP', ], }, @@ -7390,36 +7812,6 @@ const NVIDIA_NEMOTRON_3_5_CONTENT_SAFETY = { }, reasoning: EFFORT_OFF_HIGH, } as const -const NVIDIA_NEMOTRON_3_5_CONTENT_SAFETY_FREE = { - id: 'nvidia/nemotron-3.5-content-safety:free', - name: 'NVIDIA: Nemotron 3.5 Content Safety (free)', - supports: { - input: ['text', 'image'], - output: ['text'], - supports: [ - 'maxCompletionTokens', - 'reasoning', - 'seed', - 'temperature', - 'topP', - ], - }, - context_window: 128000, - max_output_tokens: 8192, - pricing: { - text: { - input: { - normal: 0, - cached: 0, - }, - output: { - normal: 0, - }, - }, - image: 0, - }, - reasoning: EFFORT_OFF_HIGH, -} as const const NVIDIA_NEMOTRON_3_5_LIGHTNING = { id: 'nvidia/nemotron-3.5-lightning', name: 'NVIDIA: Nemotron 3.5 Lightning', @@ -7520,7 +7912,7 @@ const NVIDIA_NEMOTRON_3_5_SUPER_VL = { cached: 0.02, }, output: { - normal: 0.5, + normal: 0.47, }, }, image: 0, @@ -10327,11 +10719,11 @@ const OPENAI_GPT_OSS_120B = { pricing: { text: { input: { - normal: 0.027, - cached: 0.025, + normal: 0.15, + cached: 0.075, }, output: { - normal: 0.102, + normal: 0.6, }, }, image: 0, @@ -10667,6 +11059,42 @@ const PARTICLE_AI_PARTICLE_1 = { image: 0, }, } as const +const PARTICLE_AI_PARTICLE_1_FREE = { + id: 'particle-ai/particle-1:free', + name: 'Particle AI: Particle-1 (free)', + supports: { + input: ['text', 'image'], + output: ['text'], + supports: [ + 'frequencyPenalty', + 'logprobs', + 'maxCompletionTokens', + 'presencePenalty', + 'reasoning', + 'responseFormat', + 'seed', + 'stop', + 'temperature', + 'toolChoice', + 'topLogprobs', + 'topP', + ], + }, + context_window: 1048576, + max_output_tokens: 131072, + pricing: { + text: { + input: { + normal: 0, + cached: 0, + }, + output: { + normal: 0, + }, + }, + image: 0, + }, +} as const const PERCEPTRON_PERCEPTRON_MK1 = { id: 'perceptron/perceptron-mk1', name: 'Perceptron: Perceptron Mk1', @@ -10988,39 +11416,6 @@ const QWEN_QWEN_2_5_72B_INSTRUCT = { image: 0, }, } as const -const QWEN_QWEN_2_5_7B_INSTRUCT = { - id: 'qwen/qwen-2.5-7b-instruct', - name: 'Qwen: Qwen2.5 7B Instruct', - supports: { - input: ['text'], - output: ['text'], - supports: [ - 'frequencyPenalty', - 'maxCompletionTokens', - 'presencePenalty', - 'responseFormat', - 'seed', - 'stop', - 'temperature', - 'toolChoice', - 'topP', - ], - }, - context_window: 32768, - max_output_tokens: 29491, - pricing: { - text: { - input: { - normal: 0.1, - cached: 0, - }, - output: { - normal: 0.2, - }, - }, - image: 0, - }, -} as const const QWEN_QWEN_2_5_CODER_32B_INSTRUCT = { id: 'qwen/qwen-2.5-coder-32b-instruct', name: 'Qwen2.5 Coder 32B Instruct', @@ -11790,12 +12185,12 @@ const QWEN_QWEN3_5_397B_A17B = { ], }, context_window: 262144, - max_output_tokens: 235929, + max_output_tokens: 64000, pricing: { text: { input: { - normal: 0.5, - cached: 0.3, + normal: 0.6, + cached: 0.12, }, output: { normal: 3.6, @@ -11829,12 +12224,12 @@ const QWEN_QWEN3_5_9B = { ], }, context_window: 262144, - max_output_tokens: 235929, + max_output_tokens: 40960, pricing: { text: { input: { normal: 0.17, - cached: 0, + cached: 0.153, }, output: { normal: 0.25, @@ -11976,15 +12371,15 @@ const QWEN_QWEN3_6_27B = { ], }, context_window: 262144, - max_output_tokens: 65536, + max_output_tokens: 81920, pricing: { text: { input: { - normal: 0.45, + normal: 0.32, cached: 0, }, output: { - normal: 2.7, + normal: 3.2, }, }, image: 0, @@ -12294,7 +12689,44 @@ const QWEN_QWEN3_8_27B = { supports: [ 'frequencyPenalty', 'logitBias', - 'logprobs', + 'logprobs', + 'maxCompletionTokens', + 'presencePenalty', + 'reasoning', + 'responseFormat', + 'seed', + 'stop', + 'temperature', + 'toolChoice', + 'topLogprobs', + 'topP', + ], + }, + context_window: 1024000, + max_output_tokens: 235929, + pricing: { + text: { + input: { + normal: 0.15, + cached: 0.0375, + }, + output: { + normal: 1.875, + }, + }, + image: 0, + }, + reasoning: EFFORT_NONE_LOW_MEDIUM_XHIGH, +} as const +const QWEN_QWEN3_8_27B_BATCH = { + id: 'qwen/qwen3.8-27b:batch', + name: 'Qwen: Qwen3.8 27B (batch)', + supports: { + input: ['text', 'image', 'video'], + output: ['text'], + supports: [ + 'frequencyPenalty', + 'logitBias', 'maxCompletionTokens', 'presencePenalty', 'reasoning', @@ -12303,25 +12735,23 @@ const QWEN_QWEN3_8_27B = { 'stop', 'temperature', 'toolChoice', - 'topLogprobs', 'topP', ], }, - context_window: 1024000, + context_window: 262144, max_output_tokens: 235929, pricing: { text: { input: { - normal: 0.15, - cached: 0.0375, + normal: 0.16, + cached: 0.04, }, output: { - normal: 1.875, + normal: 2, }, }, image: 0, }, - reasoning: EFFORT_NONE_LOW_MEDIUM_XHIGH, } as const const QWEN_QWEN3_8_FLASH = { id: 'qwen/qwen3.8-flash', @@ -12397,6 +12827,42 @@ const QWEN_QWEN3_8_MAX_0902 = { }, reasoning: EFFORT_MINIMAL_TO_XHIGH, } as const +const QWEN_QWEN3_8_MAX_0902_BATCH = { + id: 'qwen/qwen3.8-max-0902:batch', + name: 'Qwen: Qwen3.8 Max (0902) (batch)', + supports: { + input: ['text', 'image', 'video'], + output: ['text'], + supports: [ + 'frequencyPenalty', + 'logprobs', + 'maxCompletionTokens', + 'presencePenalty', + 'reasoning', + 'responseFormat', + 'seed', + 'stop', + 'temperature', + 'toolChoice', + 'topLogprobs', + 'topP', + ], + }, + context_window: 262144, + max_output_tokens: 131072, + pricing: { + text: { + input: { + normal: 1.15, + cached: 0, + }, + output: { + normal: 3.45, + }, + }, + image: 0, + }, +} as const const QWEN_QWEN3_8_MAX_PRIME = { id: 'qwen/qwen3.8-max-prime', name: 'Qwen: Qwen3.8 Max Prime', @@ -12666,15 +13132,20 @@ const RELACE_RELACE_SEARCH = { } as const const RICURSIVEAI_RIPPLE_65B_PREVIEW = { id: 'ricursiveai/ripple-65b-preview', - name: 'ricursiveAI/Ripple-65B-Preview', + name: 'Ricursive: Ripple 65B Preview', supports: { input: ['text'], output: ['text'], supports: [ + 'frequencyPenalty', + 'logitBias', 'logprobs', 'maxCompletionTokens', + 'presencePenalty', + 'reasoning', 'responseFormat', 'seed', + 'stop', 'temperature', 'toolChoice', 'topLogprobs', @@ -12686,11 +13157,11 @@ const RICURSIVEAI_RIPPLE_65B_PREVIEW = { pricing: { text: { input: { - normal: 0.2, - cached: 0.05, + normal: 0.1, + cached: 0.025, }, output: { - normal: 0.6, + normal: 0.3, }, }, image: 0, @@ -12905,36 +13376,6 @@ const SCALEDOWN_SUMMARIZE = { image: 0, }, } as const -const STEALTH_CROUTON_ALPHA = { - id: 'stealth/crouton-alpha', - name: 'Crouton Alpha', - supports: { - input: ['text', 'image', 'video', 'document', 'audio'], - output: ['text'], - supports: [ - 'maxCompletionTokens', - 'reasoning', - 'responseFormat', - 'temperature', - 'toolChoice', - 'topP', - ], - }, - context_window: 1048576, - max_output_tokens: 943718, - pricing: { - text: { - input: { - normal: 0, - cached: 0, - }, - output: { - normal: 0, - }, - }, - image: 0, - }, -} as const const STEPFUN_STEP_3_5_FLASH = { id: 'stepfun/step-3.5-flash', name: 'StepFun: Step 3.5 Flash', @@ -13024,7 +13465,7 @@ const STEPFUN_STEP_5_PREVIEW = { 'topP', ], }, - context_window: 1048576, + context_window: 1000000, max_output_tokens: 64000, pricing: { text: { @@ -13267,7 +13708,6 @@ const TENCENT_HY4_PREVIEW = { 'logprobs', 'maxCompletionTokens', 'maxCompletionTokens', - 'parallelToolCalls', 'presencePenalty', 'reasoning', 'responseFormat', @@ -13433,6 +13873,73 @@ const THINKINGMACHINES_INKLING = { }, reasoning: EFFORT_NONE_MINIMAL_TO_HIGH_MAX, } as const +const THINKINGMACHINES_INKLING_2_SMALL = { + id: 'thinkingmachines/inkling-2-small', + name: 'Thinking Machines: Inkling 2 Small', + supports: { + input: ['text', 'image'], + output: ['text'], + supports: [ + 'frequencyPenalty', + 'logitBias', + 'logprobs', + 'maxCompletionTokens', + 'presencePenalty', + 'reasoning', + 'responseFormat', + 'seed', + 'stop', + 'temperature', + 'toolChoice', + 'topLogprobs', + 'topP', + ], + }, + context_window: 1048576, + max_output_tokens: 943718, + pricing: { + text: { + input: { + normal: 0.3, + cached: 0.03, + }, + output: { + normal: 1, + }, + }, + image: 0, + }, +} as const +const THINKINGMACHINES_INKLING_2_SMALL_FREE = { + id: 'thinkingmachines/inkling-2-small:free', + name: 'Thinking Machines: Inkling 2 Small (free)', + supports: { + input: ['text', 'image'], + output: ['text'], + supports: [ + 'maxCompletionTokens', + 'reasoning', + 'seed', + 'stop', + 'temperature', + 'topP', + ], + }, + context_window: 1048576, + max_output_tokens: 131072, + pricing: { + text: { + input: { + normal: 0, + cached: 0, + }, + output: { + normal: 0, + }, + }, + image: 0, + }, +} as const const THINKINGMACHINES_INKLING_SMALL = { id: 'thinkingmachines/inkling-small', name: 'Thinking Machines: Inkling Small', @@ -13468,6 +13975,40 @@ const THINKINGMACHINES_INKLING_SMALL = { }, reasoning: EFFORT_NONE_MINIMAL_TO_HIGH_MAX, } as const +const THINKINGMACHINES_INKLING_SMALL_BATCH = { + id: 'thinkingmachines/inkling-small:batch', + name: 'Thinking Machines: Inkling Small (batch)', + supports: { + input: ['text', 'image', 'audio'], + output: ['text'], + supports: [ + 'frequencyPenalty', + 'logitBias', + 'maxCompletionTokens', + 'presencePenalty', + 'reasoning', + 'seed', + 'stop', + 'temperature', + 'toolChoice', + 'topP', + ], + }, + context_window: 524288, + max_output_tokens: 262144, + pricing: { + text: { + input: { + normal: 0.36, + cached: 0.08, + }, + output: { + normal: 0.96, + }, + }, + image: 0, + }, +} as const const UNBIASED_PARETO_26_10 = { id: 'unbiased/pareto-26.10', name: 'Pareto 26.10', @@ -13491,6 +14032,35 @@ const UNBIASED_PARETO_26_10 = { image: 0, }, } as const +const UNBIASED_PARETO_26_10_PREVIEW = { + id: 'unbiased/pareto-26.10-preview', + name: 'Pareto 26.10 Preview', + supports: { + input: ['text', 'image'], + output: ['text'], + supports: [ + 'maxCompletionTokens', + 'responseFormat', + 'temperature', + 'toolChoice', + 'topP', + ], + }, + context_window: 1048576, + max_output_tokens: 131072, + pricing: { + text: { + input: { + normal: 0.8, + cached: 0.03, + }, + output: { + normal: 3.2, + }, + }, + image: 0, + }, +} as const const UNBIASED_PARETO_26_9 = { id: 'unbiased/pareto-26.9', name: 'Pareto 26.9', @@ -13545,11 +14115,11 @@ const UNDI95_REMM_SLERP_L2_13B = { pricing: { text: { input: { - normal: 0.35, - cached: 0, + normal: 0.3, + cached: 0.2, }, output: { - normal: 0.65, + normal: 0.5, }, }, image: 0, @@ -13597,6 +14167,7 @@ const UPSTAGE_SOLAR_PRO4 = { output: ['text'], supports: [ 'frequencyPenalty', + 'logprobs', 'maxCompletionTokens', 'parallelToolCalls', 'presencePenalty', @@ -13604,6 +14175,7 @@ const UPSTAGE_SOLAR_PRO4 = { 'responseFormat', 'temperature', 'toolChoice', + 'topLogprobs', 'topP', ], }, @@ -14030,23 +14602,22 @@ const XIAOMI_MIMO_V2_5_PRO = { 'maxCompletionTokens', 'reasoning', 'responseFormat', - 'seed', 'temperature', 'toolChoice', 'topLogprobs', 'topP', ], }, - context_window: 1050000, - max_output_tokens: 235929, + context_window: 1024000, + max_output_tokens: 131072, pricing: { text: { input: { - normal: 0.48, - cached: 0.096, + normal: 0.435, + cached: 0.0036, }, output: { - normal: 1.8, + normal: 0.87, }, }, image: 0, @@ -14100,75 +14671,41 @@ const XIAOMI_MIMO_V2_6_PRO = { output: ['text'], supports: [ 'frequencyPenalty', - 'logitBias', - 'logprobs', - 'maxCompletionTokens', - 'presencePenalty', - 'reasoning', - 'responseFormat', - 'seed', - 'stop', - 'temperature', - 'toolChoice', - 'topLogprobs', - 'topP', - ], - }, - context_window: 1050000, - max_output_tokens: 131072, - pricing: { - text: { - input: { - normal: 0.435, - cached: 0.0036, - }, - output: { - normal: 0.87, - }, - }, - image: 0, - }, - reasoning: EFFORT_OFF_HIGH, -} as const -const XIAOMI_MIMO_V2_6_PRO_ULTRASPEED = { - id: 'xiaomi/mimo-v2.6-pro-ultraspeed', - name: 'Xiaomi: MiMo-V2.6-Pro-UltraSpeed', - supports: { - input: ['text', 'image', 'video', 'audio'], - output: ['text'], - supports: [ - 'frequencyPenalty', + 'logitBias', + 'logprobs', 'maxCompletionTokens', 'presencePenalty', 'reasoning', 'responseFormat', + 'seed', 'stop', 'temperature', 'toolChoice', + 'topLogprobs', 'topP', ], }, - context_window: 1048576, + context_window: 1050000, max_output_tokens: 131072, pricing: { text: { input: { - normal: 4.35, - cached: 0.036, + normal: 0.435, + cached: 0.0036, }, output: { - normal: 8.7, + normal: 0.87, }, }, image: 0, }, reasoning: EFFORT_OFF_HIGH, } as const -const XINGCHEN_AGI_XING4_0_29B_A4B_FREE = { - id: 'xingchen-agi/xing4.0-29b-a4b:free', - name: 'XingChen: Xing4.0 29B A4B (free)', +const XIAOMI_MIMO_V2_6_PRO_ULTRASPEED = { + id: 'xiaomi/mimo-v2.6-pro-ultraspeed', + name: 'Xiaomi: MiMo-V2.6-Pro-UltraSpeed', supports: { - input: ['text'], + input: ['text', 'image', 'video', 'audio'], output: ['text'], supports: [ 'frequencyPenalty', @@ -14176,27 +14713,27 @@ const XINGCHEN_AGI_XING4_0_29B_A4B_FREE = { 'presencePenalty', 'reasoning', 'responseFormat', - 'seed', 'stop', 'temperature', 'toolChoice', 'topP', ], }, - context_window: 262144, - max_output_tokens: 235929, + context_window: 1048576, + max_output_tokens: 131072, pricing: { text: { input: { - normal: 0, - cached: 0, + normal: 4.35, + cached: 0.036, }, output: { - normal: 0, + normal: 8.7, }, }, image: 0, }, + reasoning: EFFORT_OFF_HIGH, } as const const Z_AI_GLM_4_5 = { id: 'z-ai/glm-4.5', @@ -14252,11 +14789,11 @@ const Z_AI_GLM_4_5_AIR = { pricing: { text: { input: { - normal: 0.13, - cached: 0.025, + normal: 0.2, + cached: 0.03, }, output: { - normal: 0.85, + normal: 1.1, }, }, image: 0, @@ -14577,8 +15114,8 @@ const Z_AI_GLM_5_2 = { pricing: { text: { input: { - normal: 0.006, - cached: 0.005, + normal: 0.007, + cached: 0.006, }, output: { normal: 6.8, @@ -14588,6 +15125,43 @@ const Z_AI_GLM_5_2 = { }, reasoning: EFFORT_NONE_HIGH_XHIGH, } as const +const Z_AI_GLM_5_2_BATCH = { + id: 'z-ai/glm-5.2:batch', + name: 'Z.ai: GLM 5.2 (batch)', + supports: { + input: ['text'], + output: ['text'], + supports: [ + 'frequencyPenalty', + 'logitBias', + 'logprobs', + 'maxCompletionTokens', + 'presencePenalty', + 'reasoning', + 'responseFormat', + 'seed', + 'stop', + 'temperature', + 'toolChoice', + 'topLogprobs', + 'topP', + ], + }, + context_window: 1048576, + max_output_tokens: 943718, + pricing: { + text: { + input: { + normal: 0.322, + cached: 0.109, + }, + output: { + normal: 0.989, + }, + }, + image: 0, + }, +} as const const Z_AI_GLM_5_3 = { id: 'z-ai/glm-5.3', name: 'Z.ai: GLM 5.3', @@ -14616,11 +15190,11 @@ const Z_AI_GLM_5_3 = { pricing: { text: { input: { - normal: 0.0699, - cached: 0.0689, + normal: 0.084, + cached: 0.079, }, output: { - normal: 1.4, + normal: 3.6, }, }, image: 0, @@ -14651,15 +15225,15 @@ const Z_AI_GLM_5_3_FLASH = { ], }, context_window: 1048576, - max_output_tokens: 943717, + max_output_tokens: 131072, pricing: { text: { input: { - normal: 0.15, + normal: 0.0399, cached: 0.03, }, output: { - normal: 0.5, + normal: 0.0784, }, }, image: 0, @@ -14811,6 +15385,7 @@ const Z_AI_GLM_5_3_BATCH = { supports: [ 'frequencyPenalty', 'logitBias', + 'logprobs', 'maxCompletionTokens', 'presencePenalty', 'reasoning', @@ -14819,6 +15394,7 @@ const Z_AI_GLM_5_3_BATCH = { 'stop', 'temperature', 'toolChoice', + 'topLogprobs', 'topP', ], }, @@ -14987,8 +15563,6 @@ export type OpenRouterModelOptionsByName = { | 'logitBias' | 'logprobs' | 'maxCompletionTokens' - | 'maxCompletionTokens' - | 'parallelToolCalls' | 'presencePenalty' | 'responseFormat' | 'seed' @@ -15210,6 +15784,20 @@ export type OpenRouterModelOptionsByName = { OpenRouterBaseOptions, 'maxCompletionTokens' | 'responseFormat' | 'stop' | 'toolChoice' > + [ANTHROPIC_CLAUDE_FABLE_5_2.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + | 'maxCompletionTokens' + | 'maxCompletionTokens' + | 'responseFormat' + | 'stop' + | 'toolChoice' + > + [ANTHROPIC_CLAUDE_FABLE_5_2_BATCH.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + 'maxCompletionTokens' | 'responseFormat' | 'stop' | 'toolChoice' + > [ANTHROPIC_CLAUDE_HAIKU_4_5.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, @@ -15425,24 +16013,20 @@ export type OpenRouterModelOptionsByName = { OpenRouterBaseOptions, 'maxCompletionTokens' | 'responseFormat' | 'stop' | 'toolChoice' > - [BYTEDANCE_SEED_SEED_1_6.id]: OpenRouterCommonOptions & + [BAIDU_ERNIE_5_5_FLASH_PREVIEW_FREE.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, - | 'frequencyPenalty' | 'maxCompletionTokens' | 'responseFormat' - | 'stop' | 'temperature' | 'toolChoice' | 'topP' > - [BYTEDANCE_SEED_SEED_1_6_FLASH.id]: OpenRouterCommonOptions & + [BAIDU_ERNIE_LIGHT_DT_1_0_INTL.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, - | 'frequencyPenalty' | 'maxCompletionTokens' | 'responseFormat' - | 'stop' | 'temperature' | 'toolChoice' | 'topP' @@ -15458,17 +16042,6 @@ export type OpenRouterModelOptionsByName = { | 'toolChoice' | 'topP' > - [BYTEDANCE_SEED_SEED_2_0_CODE.id]: OpenRouterCommonOptions & - Pick< - OpenRouterBaseOptions, - | 'frequencyPenalty' - | 'maxCompletionTokens' - | 'responseFormat' - | 'stop' - | 'temperature' - | 'toolChoice' - | 'topP' - > [BYTEDANCE_SEED_SEED_2_0_LITE.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, @@ -15526,6 +16099,7 @@ export type OpenRouterModelOptionsByName = { | 'seed' | 'stop' | 'temperature' + | 'toolChoice' | 'topP' > [COHERE_COMMAND_A_PLUS.id]: OpenRouterCommonOptions & @@ -15538,6 +16112,7 @@ export type OpenRouterModelOptionsByName = { | 'seed' | 'stop' | 'temperature' + | 'toolChoice' | 'topP' > [COHERE_COMMAND_R_08_2024.id]: OpenRouterCommonOptions & @@ -15576,6 +16151,7 @@ export type OpenRouterModelOptionsByName = { | 'seed' | 'stop' | 'temperature' + | 'toolChoice' | 'topP' > [COHERE_NORTH_MINI_CODE_FREE.id]: OpenRouterCommonOptions & @@ -15719,6 +16295,20 @@ export type OpenRouterModelOptionsByName = { | 'topLogprobs' | 'topP' > + [DEEPSEEK_DEEPSEEK_V4_FLASH_0731_BATCH.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + | 'frequencyPenalty' + | 'logitBias' + | 'maxCompletionTokens' + | 'presencePenalty' + | 'responseFormat' + | 'seed' + | 'stop' + | 'temperature' + | 'toolChoice' + | 'topP' + > [DEEPSEEK_DEEPSEEK_V4_FLASH_VISION_EXP.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, @@ -15803,11 +16393,28 @@ export type OpenRouterModelOptionsByName = { | 'topLogprobs' | 'topP' > + [DEEPSEEK_DEEPSEEK_V4_1_FLASH_1017_BATCH.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + | 'frequencyPenalty' + | 'logitBias' + | 'logprobs' + | 'maxCompletionTokens' + | 'presencePenalty' + | 'responseFormat' + | 'seed' + | 'stop' + | 'temperature' + | 'toolChoice' + | 'topLogprobs' + | 'topP' + > [DEEPSEEK_DEEPSEEK_V4_1_FLASH_BATCH.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, | 'frequencyPenalty' | 'logitBias' + | 'logprobs' | 'maxCompletionTokens' | 'presencePenalty' | 'responseFormat' @@ -15815,6 +16422,7 @@ export type OpenRouterModelOptionsByName = { | 'stop' | 'temperature' | 'toolChoice' + | 'topLogprobs' | 'topP' > [DOTS_STUDIO_DOTS_3_NOTE_PREVIEW_FREE.id]: OpenRouterCommonOptions & @@ -16139,6 +16747,50 @@ export type OpenRouterModelOptionsByName = { | 'toolChoice' | 'topP' > + [GOOGLE_GEMINI_4_CARBON.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + | 'maxCompletionTokens' + | 'responseFormat' + | 'seed' + | 'stop' + | 'temperature' + | 'toolChoice' + | 'topP' + > + [GOOGLE_GEMINI_4_CARBON_BATCH.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + | 'maxCompletionTokens' + | 'responseFormat' + | 'seed' + | 'stop' + | 'temperature' + | 'toolChoice' + | 'topP' + > + [GOOGLE_GEMINI_4_HYDROGEN.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + | 'maxCompletionTokens' + | 'responseFormat' + | 'seed' + | 'stop' + | 'temperature' + | 'toolChoice' + | 'topP' + > + [GOOGLE_GEMINI_4_HYDROGEN_BATCH.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + | 'maxCompletionTokens' + | 'responseFormat' + | 'seed' + | 'stop' + | 'temperature' + | 'toolChoice' + | 'topP' + > [GOOGLE_GEMINI_NANO_BANANA_2_1.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, @@ -16311,38 +16963,40 @@ export type OpenRouterModelOptionsByName = { | 'topLogprobs' | 'topP' > - [INCEPTION_MERCURY_2.id]: OpenRouterCommonOptions & - Pick< - OpenRouterBaseOptions, - | 'maxCompletionTokens' - | 'responseFormat' - | 'stop' - | 'temperature' - | 'toolChoice' - > - [INCEPTION_MERCURY_2_5.id]: OpenRouterCommonOptions & + [INCLUSIONAI_LING_3_0_FLASH.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, + | 'frequencyPenalty' + | 'logitBias' + | 'logprobs' | 'maxCompletionTokens' + | 'presencePenalty' | 'responseFormat' + | 'seed' | 'stop' | 'temperature' | 'toolChoice' + | 'topLogprobs' + | 'topP' > - [INCEPTION_MERCURY_3.id]: OpenRouterCommonOptions & + [INCLUSIONAI_LING_3_0_FLASH_VL.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, + | 'frequencyPenalty' + | 'logitBias' | 'maxCompletionTokens' + | 'presencePenalty' | 'responseFormat' + | 'seed' | 'stop' | 'temperature' | 'toolChoice' + | 'topP' > - [INCLUSIONAI_LING_3_0_FLASH.id]: OpenRouterCommonOptions & + [INCLUSIONAI_LING_3_0_TINY.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, | 'frequencyPenalty' - | 'logitBias' | 'logprobs' | 'maxCompletionTokens' | 'presencePenalty' @@ -16354,25 +17008,24 @@ export type OpenRouterModelOptionsByName = { | 'topLogprobs' | 'topP' > - [INCLUSIONAI_LING_3_0_FLASH_VL.id]: OpenRouterCommonOptions & + [INCLUSIONAI_LING_3_1_FLASH.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, | 'frequencyPenalty' - | 'logitBias' + | 'logprobs' | 'maxCompletionTokens' | 'presencePenalty' - | 'responseFormat' | 'seed' | 'stop' | 'temperature' | 'toolChoice' + | 'topLogprobs' | 'topP' > - [INCLUSIONAI_LING_3_0_TINY.id]: OpenRouterCommonOptions & + [INCLUSIONAI_LING_3_2_FLASH_FREE.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, | 'frequencyPenalty' - | 'logprobs' | 'maxCompletionTokens' | 'presencePenalty' | 'responseFormat' @@ -16380,26 +17033,22 @@ export type OpenRouterModelOptionsByName = { | 'stop' | 'temperature' | 'toolChoice' - | 'topLogprobs' | 'topP' > - [INCLUSIONAI_LING_3_1_FLASH.id]: OpenRouterCommonOptions & + [INFERENCE_NET_SCHEMATRON_V2_SMALL.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, | 'frequencyPenalty' | 'logitBias' - | 'logprobs' | 'maxCompletionTokens' | 'presencePenalty' | 'responseFormat' | 'seed' | 'stop' | 'temperature' - | 'toolChoice' - | 'topLogprobs' | 'topP' > - [INFERENCE_NET_SCHEMATRON_V2_SMALL.id]: OpenRouterCommonOptions & + [INFERENCE_NET_SCHEMATRON_V2_TURBO.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, | 'frequencyPenalty' @@ -16412,20 +17061,20 @@ export type OpenRouterModelOptionsByName = { | 'temperature' | 'topP' > - [INFERENCE_NET_SCHEMATRON_V2_TURBO.id]: OpenRouterCommonOptions & + [KT_MIDM_K_3_0_PRO.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, | 'frequencyPenalty' - | 'logitBias' + | 'logprobs' | 'maxCompletionTokens' | 'presencePenalty' | 'responseFormat' - | 'seed' - | 'stop' | 'temperature' + | 'toolChoice' + | 'topLogprobs' | 'topP' > - [LIQUID_LFM_2_5_2_6B.id]: OpenRouterCommonOptions & + [LIQUID_LFM_2_5_24B_A2B.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, | 'frequencyPenalty' @@ -16441,7 +17090,7 @@ export type OpenRouterModelOptionsByName = { | 'topLogprobs' | 'topP' > - [LIQUID_LFM_2_5_2_6B_FREE.id]: OpenRouterCommonOptions & + [LIQUID_LFM_3_1_7B.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, | 'frequencyPenalty' @@ -16457,7 +17106,7 @@ export type OpenRouterModelOptionsByName = { | 'topLogprobs' | 'topP' > - [LIQUID_LFM_2_5_24B_A2B.id]: OpenRouterCommonOptions & + [LIQUID_LFM_3_1_7B_FREE.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, | 'frequencyPenalty' @@ -16504,7 +17153,7 @@ export type OpenRouterModelOptionsByName = { [META_LLAMA_LLAMA_3_1_70B_INSTRUCT.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, - 'maxCompletionTokens' | 'stop' | 'temperature' | 'topP' + 'maxCompletionTokens' | 'stop' | 'temperature' | 'toolChoice' | 'topP' > [META_LLAMA_LLAMA_3_1_8B_INSTRUCT.id]: OpenRouterCommonOptions & Pick< @@ -16606,7 +17255,33 @@ export type OpenRouterModelOptionsByName = { | 'temperature' | 'topP' > - [META_MUSE_GLIMMER_30B.id]: OpenRouterCommonOptions & + [META_MUSE_EMBER.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + | 'maxCompletionTokens' + | 'responseFormat' + | 'seed' + | 'temperature' + | 'toolChoice' + | 'topP' + > + [META_MUSE_GLIMMER_30B.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + | 'frequencyPenalty' + | 'logitBias' + | 'logprobs' + | 'maxCompletionTokens' + | 'presencePenalty' + | 'responseFormat' + | 'seed' + | 'stop' + | 'temperature' + | 'toolChoice' + | 'topLogprobs' + | 'topP' + > + [META_MUSE_GLIMMER_30B_BATCH.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, | 'frequencyPenalty' @@ -16652,6 +17327,7 @@ export type OpenRouterModelOptionsByName = { OpenRouterBaseOptions, | 'maxCompletionTokens' | 'responseFormat' + | 'seed' | 'temperature' | 'toolChoice' | 'topP' @@ -16686,6 +17362,7 @@ export type OpenRouterModelOptionsByName = { OpenRouterBaseOptions, | 'maxCompletionTokens' | 'responseFormat' + | 'seed' | 'temperature' | 'toolChoice' | 'topP' @@ -16703,39 +17380,39 @@ export type OpenRouterModelOptionsByName = { | 'temperature' | 'topP' > - [MINIMAX_MINIMAX_M1.id]: OpenRouterCommonOptions & + [MINIMAX_MINIMAX_M2_5.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, | 'frequencyPenalty' + | 'logitBias' + | 'logprobs' | 'maxCompletionTokens' | 'presencePenalty' + | 'responseFormat' | 'seed' | 'stop' | 'temperature' | 'toolChoice' + | 'topLogprobs' | 'topP' > - [MINIMAX_MINIMAX_M2_5.id]: OpenRouterCommonOptions & + [MINIMAX_MINIMAX_M2_7.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, - | 'frequencyPenalty' - | 'logitBias' - | 'logprobs' | 'maxCompletionTokens' - | 'presencePenalty' | 'responseFormat' | 'seed' | 'stop' | 'temperature' | 'toolChoice' - | 'topLogprobs' | 'topP' > - [MINIMAX_MINIMAX_M2_7.id]: OpenRouterCommonOptions & + [MINIMAX_MINIMAX_M3.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, | 'frequencyPenalty' | 'logitBias' + | 'logprobs' | 'maxCompletionTokens' | 'presencePenalty' | 'responseFormat' @@ -16743,14 +17420,14 @@ export type OpenRouterModelOptionsByName = { | 'stop' | 'temperature' | 'toolChoice' + | 'topLogprobs' | 'topP' > - [MINIMAX_MINIMAX_M3.id]: OpenRouterCommonOptions & + [MINIMAX_MINIMAX_M3_BATCH.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, | 'frequencyPenalty' | 'logitBias' - | 'logprobs' | 'maxCompletionTokens' | 'presencePenalty' | 'responseFormat' @@ -16758,7 +17435,6 @@ export type OpenRouterModelOptionsByName = { | 'stop' | 'temperature' | 'toolChoice' - | 'topLogprobs' | 'topP' > [MINIMAX_MINIMAX_M3_1_FLASH.id]: OpenRouterCommonOptions & @@ -17086,6 +17762,7 @@ export type OpenRouterModelOptionsByName = { Pick< OpenRouterBaseOptions, | 'frequencyPenalty' + | 'logprobs' | 'maxCompletionTokens' | 'presencePenalty' | 'responseFormat' @@ -17093,6 +17770,7 @@ export type OpenRouterModelOptionsByName = { | 'stop' | 'temperature' | 'toolChoice' + | 'topLogprobs' | 'topP' > [MOONSHOTAI_KIMI_K2_THINKING.id]: OpenRouterCommonOptions & @@ -17165,8 +17843,6 @@ export type OpenRouterModelOptionsByName = { | 'logitBias' | 'logprobs' | 'maxCompletionTokens' - | 'maxCompletionTokens' - | 'parallelToolCalls' | 'presencePenalty' | 'responseFormat' | 'seed' @@ -17206,6 +17882,16 @@ export type OpenRouterModelOptionsByName = { | 'topLogprobs' | 'topP' > + [MOONSHOTAI_KIMI_K3_1_PRO_BATCH.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + | 'frequencyPenalty' + | 'maxCompletionTokens' + | 'presencePenalty' + | 'seed' + | 'stop' + | 'temperature' + > [MORPH_MORPH_V3_FAST.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, @@ -17216,6 +17902,8 @@ export type OpenRouterModelOptionsByName = { | 'temperature' | 'topLogprobs' > + [MORPH_MORPH_V3_FAST_BATCH.id]: OpenRouterCommonOptions & + Pick [MORPH_MORPH_V3_LARGE.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, @@ -17226,6 +17914,29 @@ export type OpenRouterModelOptionsByName = { | 'temperature' | 'topLogprobs' > + [MORPH_MORPH_V3_LARGE_BATCH.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + | 'logprobs' + | 'maxCompletionTokens' + | 'responseFormat' + | 'stop' + | 'temperature' + | 'topLogprobs' + > + [MOTIF_TECHNOLOGIES_MOTIF_3.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + | 'frequencyPenalty' + | 'logprobs' + | 'maxCompletionTokens' + | 'presencePenalty' + | 'responseFormat' + | 'temperature' + | 'toolChoice' + | 'topLogprobs' + | 'topP' + > [NEX_AGI_NEX_N2_5_MINI.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, @@ -17245,6 +17956,17 @@ export type OpenRouterModelOptionsByName = { | 'topLogprobs' | 'topP' > + [NEX_AGI_NEX_N2_6.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + | 'logprobs' + | 'maxCompletionTokens' + | 'responseFormat' + | 'temperature' + | 'toolChoice' + | 'topLogprobs' + | 'topP' + > [NOUSRESEARCH_HERMES_4_405B.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, @@ -17300,6 +18022,7 @@ export type OpenRouterModelOptionsByName = { OpenRouterBaseOptions, | 'frequencyPenalty' | 'logitBias' + | 'logprobs' | 'maxCompletionTokens' | 'presencePenalty' | 'responseFormat' @@ -17307,6 +18030,7 @@ export type OpenRouterModelOptionsByName = { | 'stop' | 'temperature' | 'toolChoice' + | 'topLogprobs' | 'topP' > [NVIDIA_NEMOTRON_3_ULTRA_550B_A55B_FREE.id]: OpenRouterCommonOptions & @@ -17326,11 +18050,6 @@ export type OpenRouterModelOptionsByName = { | 'temperature' | 'topP' > - [NVIDIA_NEMOTRON_3_5_CONTENT_SAFETY_FREE.id]: OpenRouterCommonOptions & - Pick< - OpenRouterBaseOptions, - 'maxCompletionTokens' | 'seed' | 'temperature' | 'topP' - > [NVIDIA_NEMOTRON_3_5_LIGHTNING.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, @@ -18242,6 +18961,21 @@ export type OpenRouterModelOptionsByName = { | 'topLogprobs' | 'topP' > + [PARTICLE_AI_PARTICLE_1_FREE.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + | 'frequencyPenalty' + | 'logprobs' + | 'maxCompletionTokens' + | 'presencePenalty' + | 'responseFormat' + | 'seed' + | 'stop' + | 'temperature' + | 'toolChoice' + | 'topLogprobs' + | 'topP' + > [PERCEPTRON_PERCEPTRON_MK1.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, @@ -18350,19 +19084,6 @@ export type OpenRouterModelOptionsByName = { | 'toolChoice' | 'topP' > - [QWEN_QWEN_2_5_7B_INSTRUCT.id]: OpenRouterCommonOptions & - Pick< - OpenRouterBaseOptions, - | 'frequencyPenalty' - | 'maxCompletionTokens' - | 'presencePenalty' - | 'responseFormat' - | 'seed' - | 'stop' - | 'temperature' - | 'toolChoice' - | 'topP' - > [QWEN_QWEN_2_5_CODER_32B_INSTRUCT.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, @@ -18900,6 +19621,20 @@ export type OpenRouterModelOptionsByName = { | 'topLogprobs' | 'topP' > + [QWEN_QWEN3_8_27B_BATCH.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + | 'frequencyPenalty' + | 'logitBias' + | 'maxCompletionTokens' + | 'presencePenalty' + | 'responseFormat' + | 'seed' + | 'stop' + | 'temperature' + | 'toolChoice' + | 'topP' + > [QWEN_QWEN3_8_FLASH.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, @@ -18930,6 +19665,21 @@ export type OpenRouterModelOptionsByName = { | 'topLogprobs' | 'topP' > + [QWEN_QWEN3_8_MAX_0902_BATCH.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + | 'frequencyPenalty' + | 'logprobs' + | 'maxCompletionTokens' + | 'presencePenalty' + | 'responseFormat' + | 'seed' + | 'stop' + | 'temperature' + | 'toolChoice' + | 'topLogprobs' + | 'topP' + > [QWEN_QWEN3_8_MAX_PRIME.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, @@ -19031,10 +19781,14 @@ export type OpenRouterModelOptionsByName = { [RICURSIVEAI_RIPPLE_65B_PREVIEW.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, + | 'frequencyPenalty' + | 'logitBias' | 'logprobs' | 'maxCompletionTokens' + | 'presencePenalty' | 'responseFormat' | 'seed' + | 'stop' | 'temperature' | 'toolChoice' | 'topLogprobs' @@ -19079,15 +19833,6 @@ export type OpenRouterModelOptionsByName = { Pick [SCALEDOWN_SUMMARIZE.id]: OpenRouterCommonOptions & Pick - [STEALTH_CROUTON_ALPHA.id]: OpenRouterCommonOptions & - Pick< - OpenRouterBaseOptions, - | 'maxCompletionTokens' - | 'responseFormat' - | 'temperature' - | 'toolChoice' - | 'topP' - > [STEPFUN_STEP_3_5_FLASH.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, @@ -19197,7 +19942,6 @@ export type OpenRouterModelOptionsByName = { | 'logprobs' | 'maxCompletionTokens' | 'maxCompletionTokens' - | 'parallelToolCalls' | 'presencePenalty' | 'responseFormat' | 'seed' @@ -19263,6 +20007,27 @@ export type OpenRouterModelOptionsByName = { | 'toolChoice' | 'topP' > + [THINKINGMACHINES_INKLING_2_SMALL.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + | 'frequencyPenalty' + | 'logitBias' + | 'logprobs' + | 'maxCompletionTokens' + | 'presencePenalty' + | 'responseFormat' + | 'seed' + | 'stop' + | 'temperature' + | 'toolChoice' + | 'topLogprobs' + | 'topP' + > + [THINKINGMACHINES_INKLING_2_SMALL_FREE.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + 'maxCompletionTokens' | 'seed' | 'stop' | 'temperature' | 'topP' + > [THINKINGMACHINES_INKLING_SMALL.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, @@ -19276,11 +20041,33 @@ export type OpenRouterModelOptionsByName = { | 'toolChoice' | 'topP' > + [THINKINGMACHINES_INKLING_SMALL_BATCH.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + | 'frequencyPenalty' + | 'logitBias' + | 'maxCompletionTokens' + | 'presencePenalty' + | 'seed' + | 'stop' + | 'temperature' + | 'toolChoice' + | 'topP' + > [UNBIASED_PARETO_26_10.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, 'maxCompletionTokens' | 'temperature' | 'toolChoice' | 'topP' > + [UNBIASED_PARETO_26_10_PREVIEW.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + | 'maxCompletionTokens' + | 'responseFormat' + | 'temperature' + | 'toolChoice' + | 'topP' + > [UNBIASED_PARETO_26_9.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, @@ -19321,12 +20108,14 @@ export type OpenRouterModelOptionsByName = { Pick< OpenRouterBaseOptions, | 'frequencyPenalty' + | 'logprobs' | 'maxCompletionTokens' | 'parallelToolCalls' | 'presencePenalty' | 'responseFormat' | 'temperature' | 'toolChoice' + | 'topLogprobs' | 'topP' > [WRITER_PALMYRA_X5.id]: OpenRouterCommonOptions & @@ -19473,7 +20262,6 @@ export type OpenRouterModelOptionsByName = { | 'logprobs' | 'maxCompletionTokens' | 'responseFormat' - | 'seed' | 'temperature' | 'toolChoice' | 'topLogprobs' @@ -19524,19 +20312,6 @@ export type OpenRouterModelOptionsByName = { | 'toolChoice' | 'topP' > - [XINGCHEN_AGI_XING4_0_29B_A4B_FREE.id]: OpenRouterCommonOptions & - Pick< - OpenRouterBaseOptions, - | 'frequencyPenalty' - | 'maxCompletionTokens' - | 'presencePenalty' - | 'responseFormat' - | 'seed' - | 'stop' - | 'temperature' - | 'toolChoice' - | 'topP' - > [Z_AI_GLM_4_5.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, @@ -19685,6 +20460,22 @@ export type OpenRouterModelOptionsByName = { | 'topLogprobs' | 'topP' > + [Z_AI_GLM_5_2_BATCH.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + | 'frequencyPenalty' + | 'logitBias' + | 'logprobs' + | 'maxCompletionTokens' + | 'presencePenalty' + | 'responseFormat' + | 'seed' + | 'stop' + | 'temperature' + | 'toolChoice' + | 'topLogprobs' + | 'topP' + > [Z_AI_GLM_5_3.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, @@ -19773,6 +20564,7 @@ export type OpenRouterModelOptionsByName = { OpenRouterBaseOptions, | 'frequencyPenalty' | 'logitBias' + | 'logprobs' | 'maxCompletionTokens' | 'presencePenalty' | 'responseFormat' @@ -19780,6 +20572,7 @@ export type OpenRouterModelOptionsByName = { | 'stop' | 'temperature' | 'toolChoice' + | 'topLogprobs' | 'topP' > [Z_AI_GLM_5V_TURBO.id]: OpenRouterCommonOptions & @@ -19811,7 +20604,7 @@ export type OpenRouterModelInputModalitiesByName = { [_DEEPSEEK_DEEPSEEK_PRO_LATEST.id]: ReadonlyArray<'text'> [_DEEPSEEK_DEEPSEEK_V4_FLASH_LATEST.id]: ReadonlyArray<'text'> [_GOOGLE_GEMINI_FLASH_LATEST.id]: ReadonlyArray< - 'text' | 'image' | 'video' | 'document' | 'audio' + 'audio' | 'document' | 'image' | 'text' | 'video' > [_GOOGLE_GEMINI_PRO_LATEST.id]: ReadonlyArray< 'audio' | 'document' | 'image' | 'text' | 'video' @@ -19848,6 +20641,10 @@ export type OpenRouterModelInputModalitiesByName = { [ANTHROPIC_CLAUDE_FABLE_5_1_BATCH.id]: ReadonlyArray< 'text' | 'image' | 'document' > + [ANTHROPIC_CLAUDE_FABLE_5_2.id]: ReadonlyArray<'text' | 'image' | 'document'> + [ANTHROPIC_CLAUDE_FABLE_5_2_BATCH.id]: ReadonlyArray< + 'text' | 'image' | 'document' + > [ANTHROPIC_CLAUDE_HAIKU_4_5.id]: ReadonlyArray<'text' | 'image' | 'document'> [ANTHROPIC_CLAUDE_HAIKU_4_5_BATCH.id]: ReadonlyArray< 'text' | 'image' | 'document' @@ -19900,10 +20697,9 @@ export type OpenRouterModelInputModalitiesByName = { [ANTHROPIC_CLAUDE_SONNET_5_5_BATCH.id]: ReadonlyArray< 'text' | 'image' | 'document' > - [BYTEDANCE_SEED_SEED_1_6.id]: ReadonlyArray<'image' | 'text' | 'video'> - [BYTEDANCE_SEED_SEED_1_6_FLASH.id]: ReadonlyArray<'image' | 'text' | 'video'> + [BAIDU_ERNIE_5_5_FLASH_PREVIEW_FREE.id]: ReadonlyArray<'text'> + [BAIDU_ERNIE_LIGHT_DT_1_0_INTL.id]: ReadonlyArray<'text'> [BYTEDANCE_SEED_SEED_2_1_TURBO.id]: ReadonlyArray<'text' | 'image' | 'video'> - [BYTEDANCE_SEED_SEED_2_0_CODE.id]: ReadonlyArray<'text' | 'image' | 'video'> [BYTEDANCE_SEED_SEED_2_0_LITE.id]: ReadonlyArray<'text' | 'image' | 'video'> [BYTEDANCE_SEED_SEED_2_0_MINI.id]: ReadonlyArray<'text' | 'image' | 'video'> [BYTEDANCE_UI_TARS_1_5_7B.id]: ReadonlyArray<'image' | 'text'> @@ -19923,11 +20719,13 @@ export type OpenRouterModelInputModalitiesByName = { [DEEPSEEK_DEEPSEEK_V3_2_EXP.id]: ReadonlyArray<'text'> [DEEPSEEK_DEEPSEEK_V4_FLASH.id]: ReadonlyArray<'text'> [DEEPSEEK_DEEPSEEK_V4_FLASH_0731.id]: ReadonlyArray<'text'> + [DEEPSEEK_DEEPSEEK_V4_FLASH_0731_BATCH.id]: ReadonlyArray<'text'> [DEEPSEEK_DEEPSEEK_V4_FLASH_VISION_EXP.id]: ReadonlyArray<'text' | 'image'> [DEEPSEEK_DEEPSEEK_V4_PRO.id]: ReadonlyArray<'text'> [DEEPSEEK_DEEPSEEK_V4_PRO_0813.id]: ReadonlyArray<'text'> [DEEPSEEK_DEEPSEEK_V4_1_FLASH.id]: ReadonlyArray<'text' | 'image'> [DEEPSEEK_DEEPSEEK_V4_1_FLASH_1017.id]: ReadonlyArray<'text' | 'image'> + [DEEPSEEK_DEEPSEEK_V4_1_FLASH_1017_BATCH.id]: ReadonlyArray<'text' | 'image'> [DEEPSEEK_DEEPSEEK_V4_1_FLASH_BATCH.id]: ReadonlyArray<'text' | 'image'> [DOTS_STUDIO_DOTS_3_NOTE_PREVIEW_FREE.id]: ReadonlyArray<'text' | 'image'> [ELORIAN_GLIMPSE.id]: ReadonlyArray<'text' | 'image' | 'video'> @@ -20010,6 +20808,18 @@ export type OpenRouterModelInputModalitiesByName = { [GOOGLE_GEMINI_4_ARGON_BATCH.id]: ReadonlyArray< 'audio' | 'document' | 'image' | 'text' | 'video' > + [GOOGLE_GEMINI_4_CARBON.id]: ReadonlyArray< + 'audio' | 'document' | 'image' | 'text' | 'video' + > + [GOOGLE_GEMINI_4_CARBON_BATCH.id]: ReadonlyArray< + 'audio' | 'document' | 'image' | 'text' | 'video' + > + [GOOGLE_GEMINI_4_HYDROGEN.id]: ReadonlyArray< + 'audio' | 'document' | 'image' | 'text' | 'video' + > + [GOOGLE_GEMINI_4_HYDROGEN_BATCH.id]: ReadonlyArray< + 'audio' | 'document' | 'image' | 'text' | 'video' + > [GOOGLE_GEMINI_NANO_BANANA_2_1.id]: ReadonlyArray<'image' | 'text'> [GOOGLE_GEMINI_OMNI_1_1_FLASH.id]: ReadonlyArray<'text' | 'image' | 'video'> [GOOGLE_GEMINI_OMNI_1_2_FLASH.id]: ReadonlyArray<'text' | 'image' | 'video'> @@ -20025,18 +20835,17 @@ export type OpenRouterModelInputModalitiesByName = { [GOOGLE_LYRIA_3_PRO_PREVIEW.id]: ReadonlyArray<'text' | 'image'> [GRYPHE_MYTHOMAX_L2_13B.id]: ReadonlyArray<'text'> [IBM_GRANITE_GRANITE_4_2_8B.id]: ReadonlyArray<'text'> - [INCEPTION_MERCURY_2.id]: ReadonlyArray<'text'> - [INCEPTION_MERCURY_2_5.id]: ReadonlyArray<'text'> - [INCEPTION_MERCURY_3.id]: ReadonlyArray<'text'> [INCLUSIONAI_LING_3_0_FLASH.id]: ReadonlyArray<'text'> [INCLUSIONAI_LING_3_0_FLASH_VL.id]: ReadonlyArray<'text' | 'image' | 'video'> [INCLUSIONAI_LING_3_0_TINY.id]: ReadonlyArray<'text'> [INCLUSIONAI_LING_3_1_FLASH.id]: ReadonlyArray<'text'> + [INCLUSIONAI_LING_3_2_FLASH_FREE.id]: ReadonlyArray<'text' | 'image'> [INFERENCE_NET_SCHEMATRON_V2_SMALL.id]: ReadonlyArray<'text'> [INFERENCE_NET_SCHEMATRON_V2_TURBO.id]: ReadonlyArray<'text'> - [LIQUID_LFM_2_5_2_6B.id]: ReadonlyArray<'text'> - [LIQUID_LFM_2_5_2_6B_FREE.id]: ReadonlyArray<'text'> + [KT_MIDM_K_3_0_PRO.id]: ReadonlyArray<'text'> [LIQUID_LFM_2_5_24B_A2B.id]: ReadonlyArray<'text'> + [LIQUID_LFM_3_1_7B.id]: ReadonlyArray<'text'> + [LIQUID_LFM_3_1_7B_FREE.id]: ReadonlyArray<'text'> [MANCER_WEAVER.id]: ReadonlyArray<'text'> [MEITUAN_LONGCAT_2_0.id]: ReadonlyArray<'text'> [META_LLAMA_LLAMA_3_1_70B_INSTRUCT.id]: ReadonlyArray<'text'> @@ -20047,7 +20856,11 @@ export type OpenRouterModelInputModalitiesByName = { [META_LLAMA_LLAMA_4_MAVERICK.id]: ReadonlyArray<'text' | 'image'> [META_LLAMA_LLAMA_4_SCOUT.id]: ReadonlyArray<'text' | 'image'> [META_LLAMA_LLAMA_GUARD_4_12B.id]: ReadonlyArray<'image' | 'text'> + [META_MUSE_EMBER.id]: ReadonlyArray< + 'text' | 'image' | 'video' | 'document' | 'audio' + > [META_MUSE_GLIMMER_30B.id]: ReadonlyArray<'text' | 'image'> + [META_MUSE_GLIMMER_30B_BATCH.id]: ReadonlyArray<'text' | 'image'> [META_MUSE_SPARK_1_1.id]: ReadonlyArray< 'text' | 'image' | 'video' | 'document' > @@ -20070,10 +20883,10 @@ export type OpenRouterModelInputModalitiesByName = { 'text' | 'image' | 'video' | 'document' | 'audio' > [MICROSOFT_PHI_4.id]: ReadonlyArray<'text'> - [MINIMAX_MINIMAX_M1.id]: ReadonlyArray<'text'> [MINIMAX_MINIMAX_M2_5.id]: ReadonlyArray<'text'> [MINIMAX_MINIMAX_M2_7.id]: ReadonlyArray<'text'> [MINIMAX_MINIMAX_M3.id]: ReadonlyArray<'text' | 'image' | 'video'> + [MINIMAX_MINIMAX_M3_BATCH.id]: ReadonlyArray<'text' | 'image' | 'video'> [MINIMAX_MINIMAX_M3_1_FLASH.id]: ReadonlyArray<'text' | 'image' | 'video'> [MISTRALAI_CODESTRAL_2508.id]: ReadonlyArray<'text' | 'document'> [MISTRALAI_DEVSTRAL_2512.id]: ReadonlyArray<'text' | 'document'> @@ -20117,10 +20930,15 @@ export type OpenRouterModelInputModalitiesByName = { [MOONSHOTAI_KIMI_K3.id]: ReadonlyArray<'text' | 'image' | 'video'> [MOONSHOTAI_KIMI_K3_BATCH.id]: ReadonlyArray<'text' | 'image' | 'video'> [MOONSHOTAI_KIMI_K3_1_PRO.id]: ReadonlyArray<'text' | 'image' | 'video'> + [MOONSHOTAI_KIMI_K3_1_PRO_BATCH.id]: ReadonlyArray<'text' | 'image' | 'video'> [MORPH_MORPH_V3_FAST.id]: ReadonlyArray<'text'> + [MORPH_MORPH_V3_FAST_BATCH.id]: ReadonlyArray<'text'> [MORPH_MORPH_V3_LARGE.id]: ReadonlyArray<'text'> + [MORPH_MORPH_V3_LARGE_BATCH.id]: ReadonlyArray<'text'> + [MOTIF_TECHNOLOGIES_MOTIF_3.id]: ReadonlyArray<'text'> [NEX_AGI_NEX_N2_5_MINI.id]: ReadonlyArray<'text' | 'image'> [NEX_AGI_NEX_N2_5_PRO.id]: ReadonlyArray<'text' | 'image'> + [NEX_AGI_NEX_N2_6.id]: ReadonlyArray<'text' | 'image'> [NOUSRESEARCH_HERMES_4_405B.id]: ReadonlyArray<'text'> [NVIDIA_NEMOTRON_3_NANO_30B_A3B.id]: ReadonlyArray<'text'> [NVIDIA_NEMOTRON_3_NANO_OMNI_30B_A3B_REASONING_FREE.id]: ReadonlyArray< @@ -20130,7 +20948,6 @@ export type OpenRouterModelInputModalitiesByName = { [NVIDIA_NEMOTRON_3_ULTRA_550B_A55B.id]: ReadonlyArray<'text'> [NVIDIA_NEMOTRON_3_ULTRA_550B_A55B_FREE.id]: ReadonlyArray<'text'> [NVIDIA_NEMOTRON_3_5_CONTENT_SAFETY.id]: ReadonlyArray<'text' | 'image'> - [NVIDIA_NEMOTRON_3_5_CONTENT_SAFETY_FREE.id]: ReadonlyArray<'text' | 'image'> [NVIDIA_NEMOTRON_3_5_LIGHTNING.id]: ReadonlyArray<'text'> [NVIDIA_NEMOTRON_3_5_LIGHTNING_FREE.id]: ReadonlyArray<'text'> [NVIDIA_NEMOTRON_3_5_SUPER_VL.id]: ReadonlyArray<'text' | 'image' | 'video'> @@ -20250,6 +21067,7 @@ export type OpenRouterModelInputModalitiesByName = { [OPENAI_O3_BATCH.id]: ReadonlyArray<'image' | 'text' | 'document'> [OPENAI_O4_MINI_BATCH.id]: ReadonlyArray<'image' | 'text' | 'document'> [PARTICLE_AI_PARTICLE_1.id]: ReadonlyArray<'text' | 'image'> + [PARTICLE_AI_PARTICLE_1_FREE.id]: ReadonlyArray<'text' | 'image'> [PERCEPTRON_PERCEPTRON_MK1.id]: ReadonlyArray<'text' | 'image' | 'video'> [PERCEPTRON_PERCEPTRON_MK1_5.id]: ReadonlyArray< 'text' | 'image' | 'video' | 'audio' @@ -20262,7 +21080,6 @@ export type OpenRouterModelInputModalitiesByName = { [PRISM_ML_TERNARY_BONSAI_2_27B.id]: ReadonlyArray<'text' | 'image'> [PRISM_ML_TERNARY_BONSAI_2_9B.id]: ReadonlyArray<'text' | 'image'> [QWEN_QWEN_2_5_72B_INSTRUCT.id]: ReadonlyArray<'text'> - [QWEN_QWEN_2_5_7B_INSTRUCT.id]: ReadonlyArray<'text'> [QWEN_QWEN_2_5_CODER_32B_INSTRUCT.id]: ReadonlyArray<'text'> [QWEN_QWEN_PLUS.id]: ReadonlyArray<'text'> [QWEN_QWEN2_5_VL_72B_INSTRUCT.id]: ReadonlyArray<'text' | 'image'> @@ -20299,8 +21116,10 @@ export type OpenRouterModelInputModalitiesByName = { [QWEN_QWEN3_7_PLUS_BATCH.id]: ReadonlyArray<'text' | 'image'> [QWEN_QWEN3_8_2_4T_A95B.id]: ReadonlyArray<'text'> [QWEN_QWEN3_8_27B.id]: ReadonlyArray<'text' | 'image' | 'video'> + [QWEN_QWEN3_8_27B_BATCH.id]: ReadonlyArray<'text' | 'image' | 'video'> [QWEN_QWEN3_8_FLASH.id]: ReadonlyArray<'text' | 'image' | 'video'> [QWEN_QWEN3_8_MAX_0902.id]: ReadonlyArray<'text' | 'image' | 'video'> + [QWEN_QWEN3_8_MAX_0902_BATCH.id]: ReadonlyArray<'text' | 'image' | 'video'> [QWEN_QWEN3_8_MAX_PRIME.id]: ReadonlyArray<'text' | 'image' | 'video'> [QWEN_QWEN3_8_OMNI_FLASH.id]: ReadonlyArray< 'text' | 'image' | 'audio' | 'video' @@ -20320,9 +21139,6 @@ export type OpenRouterModelInputModalitiesByName = { [SAO10K_L3_1_EURYALE_70B.id]: ReadonlyArray<'text'> [SCALEDOWN_EXTRACT.id]: ReadonlyArray<'text' | 'image' | 'document'> [SCALEDOWN_SUMMARIZE.id]: ReadonlyArray<'text' | 'image' | 'document'> - [STEALTH_CROUTON_ALPHA.id]: ReadonlyArray< - 'text' | 'image' | 'video' | 'document' | 'audio' - > [STEPFUN_STEP_3_5_FLASH.id]: ReadonlyArray<'text'> [STEPFUN_STEP_3_7_FLASH.id]: ReadonlyArray<'text' | 'image' | 'video'> [STEPFUN_STEP_5_PREVIEW.id]: ReadonlyArray<'text' | 'image' | 'video'> @@ -20338,8 +21154,14 @@ export type OpenRouterModelInputModalitiesByName = { [THEDRUMMER_SKYFALL_36B_V2.id]: ReadonlyArray<'text'> [THEDRUMMER_UNSLOPNEMO_12B.id]: ReadonlyArray<'text'> [THINKINGMACHINES_INKLING.id]: ReadonlyArray<'text' | 'image' | 'audio'> + [THINKINGMACHINES_INKLING_2_SMALL.id]: ReadonlyArray<'text' | 'image'> + [THINKINGMACHINES_INKLING_2_SMALL_FREE.id]: ReadonlyArray<'text' | 'image'> [THINKINGMACHINES_INKLING_SMALL.id]: ReadonlyArray<'text' | 'image' | 'audio'> + [THINKINGMACHINES_INKLING_SMALL_BATCH.id]: ReadonlyArray< + 'text' | 'image' | 'audio' + > [UNBIASED_PARETO_26_10.id]: ReadonlyArray<'text' | 'image'> + [UNBIASED_PARETO_26_10_PREVIEW.id]: ReadonlyArray<'text' | 'image'> [UNBIASED_PARETO_26_9.id]: ReadonlyArray<'text' | 'image'> [UNDI95_REMM_SLERP_L2_13B.id]: ReadonlyArray<'text'> [UPSTAGE_SOLAR_MINI4.id]: ReadonlyArray<'text'> @@ -20364,7 +21186,6 @@ export type OpenRouterModelInputModalitiesByName = { [XIAOMI_MIMO_V2_6_PRO_ULTRASPEED.id]: ReadonlyArray< 'text' | 'image' | 'video' | 'audio' > - [XINGCHEN_AGI_XING4_0_29B_A4B_FREE.id]: ReadonlyArray<'text'> [Z_AI_GLM_4_5.id]: ReadonlyArray<'text'> [Z_AI_GLM_4_5_AIR.id]: ReadonlyArray<'text'> [Z_AI_GLM_4_5V.id]: ReadonlyArray<'text' | 'image'> @@ -20376,6 +21197,7 @@ export type OpenRouterModelInputModalitiesByName = { [Z_AI_GLM_5_TURBO.id]: ReadonlyArray<'text'> [Z_AI_GLM_5_1.id]: ReadonlyArray<'text'> [Z_AI_GLM_5_2.id]: ReadonlyArray<'text'> + [Z_AI_GLM_5_2_BATCH.id]: ReadonlyArray<'text'> [Z_AI_GLM_5_3.id]: ReadonlyArray<'text'> [Z_AI_GLM_5_3_FLASH.id]: ReadonlyArray<'text' | 'image' | 'video'> [Z_AI_GLM_5_3_FLASH_BATCH.id]: ReadonlyArray<'text' | 'image' | 'video'> @@ -20425,6 +21247,8 @@ export const OPENROUTER_CHAT_MODELS = [ ANTHROPIC_CLAUDE_FABLE_5_BATCH.id, ANTHROPIC_CLAUDE_FABLE_5_1.id, ANTHROPIC_CLAUDE_FABLE_5_1_BATCH.id, + ANTHROPIC_CLAUDE_FABLE_5_2.id, + ANTHROPIC_CLAUDE_FABLE_5_2_BATCH.id, ANTHROPIC_CLAUDE_HAIKU_4_5.id, ANTHROPIC_CLAUDE_HAIKU_4_5_BATCH.id, ANTHROPIC_CLAUDE_HAIKU_5_5.id, @@ -20451,10 +21275,9 @@ export const OPENROUTER_CHAT_MODELS = [ ANTHROPIC_CLAUDE_SONNET_5_BATCH.id, ANTHROPIC_CLAUDE_SONNET_5_5.id, ANTHROPIC_CLAUDE_SONNET_5_5_BATCH.id, - BYTEDANCE_SEED_SEED_1_6.id, - BYTEDANCE_SEED_SEED_1_6_FLASH.id, + BAIDU_ERNIE_5_5_FLASH_PREVIEW_FREE.id, + BAIDU_ERNIE_LIGHT_DT_1_0_INTL.id, BYTEDANCE_SEED_SEED_2_1_TURBO.id, - BYTEDANCE_SEED_SEED_2_0_CODE.id, BYTEDANCE_SEED_SEED_2_0_LITE.id, BYTEDANCE_SEED_SEED_2_0_MINI.id, BYTEDANCE_UI_TARS_1_5_7B.id, @@ -20474,11 +21297,13 @@ export const OPENROUTER_CHAT_MODELS = [ DEEPSEEK_DEEPSEEK_V3_2_EXP.id, DEEPSEEK_DEEPSEEK_V4_FLASH.id, DEEPSEEK_DEEPSEEK_V4_FLASH_0731.id, + DEEPSEEK_DEEPSEEK_V4_FLASH_0731_BATCH.id, DEEPSEEK_DEEPSEEK_V4_FLASH_VISION_EXP.id, DEEPSEEK_DEEPSEEK_V4_PRO.id, DEEPSEEK_DEEPSEEK_V4_PRO_0813.id, DEEPSEEK_DEEPSEEK_V4_1_FLASH.id, DEEPSEEK_DEEPSEEK_V4_1_FLASH_1017.id, + DEEPSEEK_DEEPSEEK_V4_1_FLASH_1017_BATCH.id, DEEPSEEK_DEEPSEEK_V4_1_FLASH_BATCH.id, DOTS_STUDIO_DOTS_3_NOTE_PREVIEW_FREE.id, ELORIAN_GLIMPSE.id, @@ -20513,6 +21338,10 @@ export const OPENROUTER_CHAT_MODELS = [ GOOGLE_GEMINI_3_8_FLASH_BATCH.id, GOOGLE_GEMINI_4_ARGON.id, GOOGLE_GEMINI_4_ARGON_BATCH.id, + GOOGLE_GEMINI_4_CARBON.id, + GOOGLE_GEMINI_4_CARBON_BATCH.id, + GOOGLE_GEMINI_4_HYDROGEN.id, + GOOGLE_GEMINI_4_HYDROGEN_BATCH.id, GOOGLE_GEMINI_NANO_BANANA_2_1.id, GOOGLE_GEMINI_OMNI_1_1_FLASH.id, GOOGLE_GEMINI_OMNI_1_2_FLASH.id, @@ -20526,18 +21355,17 @@ export const OPENROUTER_CHAT_MODELS = [ GOOGLE_GEMMA_4_31B_IT_FREE.id, GRYPHE_MYTHOMAX_L2_13B.id, IBM_GRANITE_GRANITE_4_2_8B.id, - INCEPTION_MERCURY_2.id, - INCEPTION_MERCURY_2_5.id, - INCEPTION_MERCURY_3.id, INCLUSIONAI_LING_3_0_FLASH.id, INCLUSIONAI_LING_3_0_FLASH_VL.id, INCLUSIONAI_LING_3_0_TINY.id, INCLUSIONAI_LING_3_1_FLASH.id, + INCLUSIONAI_LING_3_2_FLASH_FREE.id, INFERENCE_NET_SCHEMATRON_V2_SMALL.id, INFERENCE_NET_SCHEMATRON_V2_TURBO.id, - LIQUID_LFM_2_5_2_6B.id, - LIQUID_LFM_2_5_2_6B_FREE.id, + KT_MIDM_K_3_0_PRO.id, LIQUID_LFM_2_5_24B_A2B.id, + LIQUID_LFM_3_1_7B.id, + LIQUID_LFM_3_1_7B_FREE.id, MANCER_WEAVER.id, MEITUAN_LONGCAT_2_0.id, META_LLAMA_LLAMA_3_1_70B_INSTRUCT.id, @@ -20548,7 +21376,9 @@ export const OPENROUTER_CHAT_MODELS = [ META_LLAMA_LLAMA_4_MAVERICK.id, META_LLAMA_LLAMA_4_SCOUT.id, META_LLAMA_LLAMA_GUARD_4_12B.id, + META_MUSE_EMBER.id, META_MUSE_GLIMMER_30B.id, + META_MUSE_GLIMMER_30B_BATCH.id, META_MUSE_SPARK_1_1.id, META_MUSE_SPARK_1_2.id, META_MUSE_SPARK_1_2_CONTRIBUTOR.id, @@ -20557,10 +21387,10 @@ export const OPENROUTER_CHAT_MODELS = [ META_MUSE_SPARK_OPEN.id, META_MUSE_WONDER.id, MICROSOFT_PHI_4.id, - MINIMAX_MINIMAX_M1.id, MINIMAX_MINIMAX_M2_5.id, MINIMAX_MINIMAX_M2_7.id, MINIMAX_MINIMAX_M3.id, + MINIMAX_MINIMAX_M3_BATCH.id, MINIMAX_MINIMAX_M3_1_FLASH.id, MISTRALAI_CODESTRAL_2508.id, MISTRALAI_DEVSTRAL_2512.id, @@ -20594,10 +21424,15 @@ export const OPENROUTER_CHAT_MODELS = [ MOONSHOTAI_KIMI_K3.id, MOONSHOTAI_KIMI_K3_BATCH.id, MOONSHOTAI_KIMI_K3_1_PRO.id, + MOONSHOTAI_KIMI_K3_1_PRO_BATCH.id, MORPH_MORPH_V3_FAST.id, + MORPH_MORPH_V3_FAST_BATCH.id, MORPH_MORPH_V3_LARGE.id, + MORPH_MORPH_V3_LARGE_BATCH.id, + MOTIF_TECHNOLOGIES_MOTIF_3.id, NEX_AGI_NEX_N2_5_MINI.id, NEX_AGI_NEX_N2_5_PRO.id, + NEX_AGI_NEX_N2_6.id, NOUSRESEARCH_HERMES_4_405B.id, NVIDIA_NEMOTRON_3_NANO_30B_A3B.id, NVIDIA_NEMOTRON_3_NANO_OMNI_30B_A3B_REASONING_FREE.id, @@ -20605,7 +21440,6 @@ export const OPENROUTER_CHAT_MODELS = [ NVIDIA_NEMOTRON_3_ULTRA_550B_A55B.id, NVIDIA_NEMOTRON_3_ULTRA_550B_A55B_FREE.id, NVIDIA_NEMOTRON_3_5_CONTENT_SAFETY.id, - NVIDIA_NEMOTRON_3_5_CONTENT_SAFETY_FREE.id, NVIDIA_NEMOTRON_3_5_LIGHTNING.id, NVIDIA_NEMOTRON_3_5_LIGHTNING_FREE.id, NVIDIA_NEMOTRON_3_5_SUPER_VL.id, @@ -20709,6 +21543,7 @@ export const OPENROUTER_CHAT_MODELS = [ OPENAI_O3_BATCH.id, OPENAI_O4_MINI_BATCH.id, PARTICLE_AI_PARTICLE_1.id, + PARTICLE_AI_PARTICLE_1_FREE.id, PERCEPTRON_PERCEPTRON_MK1.id, PERCEPTRON_PERCEPTRON_MK1_5.id, PERPLEXITY_SONAR.id, @@ -20719,7 +21554,6 @@ export const OPENROUTER_CHAT_MODELS = [ PRISM_ML_TERNARY_BONSAI_2_27B.id, PRISM_ML_TERNARY_BONSAI_2_9B.id, QWEN_QWEN_2_5_72B_INSTRUCT.id, - QWEN_QWEN_2_5_7B_INSTRUCT.id, QWEN_QWEN_2_5_CODER_32B_INSTRUCT.id, QWEN_QWEN_PLUS.id, QWEN_QWEN2_5_VL_72B_INSTRUCT.id, @@ -20756,8 +21590,10 @@ export const OPENROUTER_CHAT_MODELS = [ QWEN_QWEN3_7_PLUS_BATCH.id, QWEN_QWEN3_8_2_4T_A95B.id, QWEN_QWEN3_8_27B.id, + QWEN_QWEN3_8_27B_BATCH.id, QWEN_QWEN3_8_FLASH.id, QWEN_QWEN3_8_MAX_0902.id, + QWEN_QWEN3_8_MAX_0902_BATCH.id, QWEN_QWEN3_8_MAX_PRIME.id, QWEN_QWEN3_8_OMNI_FLASH.id, RECURSIVE_FLINT_V1_0_FREE.id, @@ -20775,7 +21611,6 @@ export const OPENROUTER_CHAT_MODELS = [ SAO10K_L3_1_EURYALE_70B.id, SCALEDOWN_EXTRACT.id, SCALEDOWN_SUMMARIZE.id, - STEALTH_CROUTON_ALPHA.id, STEPFUN_STEP_3_5_FLASH.id, STEPFUN_STEP_3_7_FLASH.id, STEPFUN_STEP_5_PREVIEW.id, @@ -20791,8 +21626,12 @@ export const OPENROUTER_CHAT_MODELS = [ THEDRUMMER_SKYFALL_36B_V2.id, THEDRUMMER_UNSLOPNEMO_12B.id, THINKINGMACHINES_INKLING.id, + THINKINGMACHINES_INKLING_2_SMALL.id, + THINKINGMACHINES_INKLING_2_SMALL_FREE.id, THINKINGMACHINES_INKLING_SMALL.id, + THINKINGMACHINES_INKLING_SMALL_BATCH.id, UNBIASED_PARETO_26_10.id, + UNBIASED_PARETO_26_10_PREVIEW.id, UNBIASED_PARETO_26_9.id, UNDI95_REMM_SLERP_L2_13B.id, UPSTAGE_SOLAR_MINI4.id, @@ -20813,7 +21652,6 @@ export const OPENROUTER_CHAT_MODELS = [ XIAOMI_MIMO_V2_6_FLASH.id, XIAOMI_MIMO_V2_6_PRO.id, XIAOMI_MIMO_V2_6_PRO_ULTRASPEED.id, - XINGCHEN_AGI_XING4_0_29B_A4B_FREE.id, Z_AI_GLM_4_5.id, Z_AI_GLM_4_5_AIR.id, Z_AI_GLM_4_5V.id, @@ -20825,6 +21663,7 @@ export const OPENROUTER_CHAT_MODELS = [ Z_AI_GLM_5_TURBO.id, Z_AI_GLM_5_1.id, Z_AI_GLM_5_2.id, + Z_AI_GLM_5_2_BATCH.id, Z_AI_GLM_5_3.id, Z_AI_GLM_5_3_FLASH.id, Z_AI_GLM_5_3_FLASH_BATCH.id, @@ -20890,6 +21729,9 @@ export const OPENROUTER_MODEL_INPUT_MODALITIES: Readonly< [ANTHROPIC_CLAUDE_FABLE_5_1.id]: ANTHROPIC_CLAUDE_FABLE_5_1.supports.input, [ANTHROPIC_CLAUDE_FABLE_5_1_BATCH.id]: ANTHROPIC_CLAUDE_FABLE_5_1_BATCH.supports.input, + [ANTHROPIC_CLAUDE_FABLE_5_2.id]: ANTHROPIC_CLAUDE_FABLE_5_2.supports.input, + [ANTHROPIC_CLAUDE_FABLE_5_2_BATCH.id]: + ANTHROPIC_CLAUDE_FABLE_5_2_BATCH.supports.input, [ANTHROPIC_CLAUDE_HAIKU_4_5.id]: ANTHROPIC_CLAUDE_HAIKU_4_5.supports.input, [ANTHROPIC_CLAUDE_HAIKU_4_5_BATCH.id]: ANTHROPIC_CLAUDE_HAIKU_4_5_BATCH.supports.input, @@ -20929,13 +21771,12 @@ export const OPENROUTER_MODEL_INPUT_MODALITIES: Readonly< [ANTHROPIC_CLAUDE_SONNET_5_5.id]: ANTHROPIC_CLAUDE_SONNET_5_5.supports.input, [ANTHROPIC_CLAUDE_SONNET_5_5_BATCH.id]: ANTHROPIC_CLAUDE_SONNET_5_5_BATCH.supports.input, - [BYTEDANCE_SEED_SEED_1_6.id]: BYTEDANCE_SEED_SEED_1_6.supports.input, - [BYTEDANCE_SEED_SEED_1_6_FLASH.id]: - BYTEDANCE_SEED_SEED_1_6_FLASH.supports.input, + [BAIDU_ERNIE_5_5_FLASH_PREVIEW_FREE.id]: + BAIDU_ERNIE_5_5_FLASH_PREVIEW_FREE.supports.input, + [BAIDU_ERNIE_LIGHT_DT_1_0_INTL.id]: + BAIDU_ERNIE_LIGHT_DT_1_0_INTL.supports.input, [BYTEDANCE_SEED_SEED_2_1_TURBO.id]: BYTEDANCE_SEED_SEED_2_1_TURBO.supports.input, - [BYTEDANCE_SEED_SEED_2_0_CODE.id]: - BYTEDANCE_SEED_SEED_2_0_CODE.supports.input, [BYTEDANCE_SEED_SEED_2_0_LITE.id]: BYTEDANCE_SEED_SEED_2_0_LITE.supports.input, [BYTEDANCE_SEED_SEED_2_0_MINI.id]: @@ -20962,6 +21803,8 @@ export const OPENROUTER_MODEL_INPUT_MODALITIES: Readonly< [DEEPSEEK_DEEPSEEK_V4_FLASH.id]: DEEPSEEK_DEEPSEEK_V4_FLASH.supports.input, [DEEPSEEK_DEEPSEEK_V4_FLASH_0731.id]: DEEPSEEK_DEEPSEEK_V4_FLASH_0731.supports.input, + [DEEPSEEK_DEEPSEEK_V4_FLASH_0731_BATCH.id]: + DEEPSEEK_DEEPSEEK_V4_FLASH_0731_BATCH.supports.input, [DEEPSEEK_DEEPSEEK_V4_FLASH_VISION_EXP.id]: DEEPSEEK_DEEPSEEK_V4_FLASH_VISION_EXP.supports.input, [DEEPSEEK_DEEPSEEK_V4_PRO.id]: DEEPSEEK_DEEPSEEK_V4_PRO.supports.input, @@ -20971,6 +21814,8 @@ export const OPENROUTER_MODEL_INPUT_MODALITIES: Readonly< DEEPSEEK_DEEPSEEK_V4_1_FLASH.supports.input, [DEEPSEEK_DEEPSEEK_V4_1_FLASH_1017.id]: DEEPSEEK_DEEPSEEK_V4_1_FLASH_1017.supports.input, + [DEEPSEEK_DEEPSEEK_V4_1_FLASH_1017_BATCH.id]: + DEEPSEEK_DEEPSEEK_V4_1_FLASH_1017_BATCH.supports.input, [DEEPSEEK_DEEPSEEK_V4_1_FLASH_BATCH.id]: DEEPSEEK_DEEPSEEK_V4_1_FLASH_BATCH.supports.input, [DOTS_STUDIO_DOTS_3_NOTE_PREVIEW_FREE.id]: @@ -21028,6 +21873,12 @@ export const OPENROUTER_MODEL_INPUT_MODALITIES: Readonly< GOOGLE_GEMINI_3_8_FLASH_BATCH.supports.input, [GOOGLE_GEMINI_4_ARGON.id]: GOOGLE_GEMINI_4_ARGON.supports.input, [GOOGLE_GEMINI_4_ARGON_BATCH.id]: GOOGLE_GEMINI_4_ARGON_BATCH.supports.input, + [GOOGLE_GEMINI_4_CARBON.id]: GOOGLE_GEMINI_4_CARBON.supports.input, + [GOOGLE_GEMINI_4_CARBON_BATCH.id]: + GOOGLE_GEMINI_4_CARBON_BATCH.supports.input, + [GOOGLE_GEMINI_4_HYDROGEN.id]: GOOGLE_GEMINI_4_HYDROGEN.supports.input, + [GOOGLE_GEMINI_4_HYDROGEN_BATCH.id]: + GOOGLE_GEMINI_4_HYDROGEN_BATCH.supports.input, [GOOGLE_GEMINI_NANO_BANANA_2_1.id]: GOOGLE_GEMINI_NANO_BANANA_2_1.supports.input, [GOOGLE_GEMINI_OMNI_1_1_FLASH.id]: @@ -21045,21 +21896,21 @@ export const OPENROUTER_MODEL_INPUT_MODALITIES: Readonly< [GOOGLE_GEMMA_4_31B_IT_FREE.id]: GOOGLE_GEMMA_4_31B_IT_FREE.supports.input, [GRYPHE_MYTHOMAX_L2_13B.id]: GRYPHE_MYTHOMAX_L2_13B.supports.input, [IBM_GRANITE_GRANITE_4_2_8B.id]: IBM_GRANITE_GRANITE_4_2_8B.supports.input, - [INCEPTION_MERCURY_2.id]: INCEPTION_MERCURY_2.supports.input, - [INCEPTION_MERCURY_2_5.id]: INCEPTION_MERCURY_2_5.supports.input, - [INCEPTION_MERCURY_3.id]: INCEPTION_MERCURY_3.supports.input, [INCLUSIONAI_LING_3_0_FLASH.id]: INCLUSIONAI_LING_3_0_FLASH.supports.input, [INCLUSIONAI_LING_3_0_FLASH_VL.id]: INCLUSIONAI_LING_3_0_FLASH_VL.supports.input, [INCLUSIONAI_LING_3_0_TINY.id]: INCLUSIONAI_LING_3_0_TINY.supports.input, [INCLUSIONAI_LING_3_1_FLASH.id]: INCLUSIONAI_LING_3_1_FLASH.supports.input, + [INCLUSIONAI_LING_3_2_FLASH_FREE.id]: + INCLUSIONAI_LING_3_2_FLASH_FREE.supports.input, [INFERENCE_NET_SCHEMATRON_V2_SMALL.id]: INFERENCE_NET_SCHEMATRON_V2_SMALL.supports.input, [INFERENCE_NET_SCHEMATRON_V2_TURBO.id]: INFERENCE_NET_SCHEMATRON_V2_TURBO.supports.input, - [LIQUID_LFM_2_5_2_6B.id]: LIQUID_LFM_2_5_2_6B.supports.input, - [LIQUID_LFM_2_5_2_6B_FREE.id]: LIQUID_LFM_2_5_2_6B_FREE.supports.input, + [KT_MIDM_K_3_0_PRO.id]: KT_MIDM_K_3_0_PRO.supports.input, [LIQUID_LFM_2_5_24B_A2B.id]: LIQUID_LFM_2_5_24B_A2B.supports.input, + [LIQUID_LFM_3_1_7B.id]: LIQUID_LFM_3_1_7B.supports.input, + [LIQUID_LFM_3_1_7B_FREE.id]: LIQUID_LFM_3_1_7B_FREE.supports.input, [MANCER_WEAVER.id]: MANCER_WEAVER.supports.input, [MEITUAN_LONGCAT_2_0.id]: MEITUAN_LONGCAT_2_0.supports.input, [META_LLAMA_LLAMA_3_1_70B_INSTRUCT.id]: @@ -21076,7 +21927,9 @@ export const OPENROUTER_MODEL_INPUT_MODALITIES: Readonly< [META_LLAMA_LLAMA_4_SCOUT.id]: META_LLAMA_LLAMA_4_SCOUT.supports.input, [META_LLAMA_LLAMA_GUARD_4_12B.id]: META_LLAMA_LLAMA_GUARD_4_12B.supports.input, + [META_MUSE_EMBER.id]: META_MUSE_EMBER.supports.input, [META_MUSE_GLIMMER_30B.id]: META_MUSE_GLIMMER_30B.supports.input, + [META_MUSE_GLIMMER_30B_BATCH.id]: META_MUSE_GLIMMER_30B_BATCH.supports.input, [META_MUSE_SPARK_1_1.id]: META_MUSE_SPARK_1_1.supports.input, [META_MUSE_SPARK_1_2.id]: META_MUSE_SPARK_1_2.supports.input, [META_MUSE_SPARK_1_2_CONTRIBUTOR.id]: @@ -21087,10 +21940,10 @@ export const OPENROUTER_MODEL_INPUT_MODALITIES: Readonly< [META_MUSE_SPARK_OPEN.id]: META_MUSE_SPARK_OPEN.supports.input, [META_MUSE_WONDER.id]: META_MUSE_WONDER.supports.input, [MICROSOFT_PHI_4.id]: MICROSOFT_PHI_4.supports.input, - [MINIMAX_MINIMAX_M1.id]: MINIMAX_MINIMAX_M1.supports.input, [MINIMAX_MINIMAX_M2_5.id]: MINIMAX_MINIMAX_M2_5.supports.input, [MINIMAX_MINIMAX_M2_7.id]: MINIMAX_MINIMAX_M2_7.supports.input, [MINIMAX_MINIMAX_M3.id]: MINIMAX_MINIMAX_M3.supports.input, + [MINIMAX_MINIMAX_M3_BATCH.id]: MINIMAX_MINIMAX_M3_BATCH.supports.input, [MINIMAX_MINIMAX_M3_1_FLASH.id]: MINIMAX_MINIMAX_M3_1_FLASH.supports.input, [MISTRALAI_CODESTRAL_2508.id]: MISTRALAI_CODESTRAL_2508.supports.input, [MISTRALAI_DEVSTRAL_2512.id]: MISTRALAI_DEVSTRAL_2512.supports.input, @@ -21138,10 +21991,16 @@ export const OPENROUTER_MODEL_INPUT_MODALITIES: Readonly< [MOONSHOTAI_KIMI_K3.id]: MOONSHOTAI_KIMI_K3.supports.input, [MOONSHOTAI_KIMI_K3_BATCH.id]: MOONSHOTAI_KIMI_K3_BATCH.supports.input, [MOONSHOTAI_KIMI_K3_1_PRO.id]: MOONSHOTAI_KIMI_K3_1_PRO.supports.input, + [MOONSHOTAI_KIMI_K3_1_PRO_BATCH.id]: + MOONSHOTAI_KIMI_K3_1_PRO_BATCH.supports.input, [MORPH_MORPH_V3_FAST.id]: MORPH_MORPH_V3_FAST.supports.input, + [MORPH_MORPH_V3_FAST_BATCH.id]: MORPH_MORPH_V3_FAST_BATCH.supports.input, [MORPH_MORPH_V3_LARGE.id]: MORPH_MORPH_V3_LARGE.supports.input, + [MORPH_MORPH_V3_LARGE_BATCH.id]: MORPH_MORPH_V3_LARGE_BATCH.supports.input, + [MOTIF_TECHNOLOGIES_MOTIF_3.id]: MOTIF_TECHNOLOGIES_MOTIF_3.supports.input, [NEX_AGI_NEX_N2_5_MINI.id]: NEX_AGI_NEX_N2_5_MINI.supports.input, [NEX_AGI_NEX_N2_5_PRO.id]: NEX_AGI_NEX_N2_5_PRO.supports.input, + [NEX_AGI_NEX_N2_6.id]: NEX_AGI_NEX_N2_6.supports.input, [NOUSRESEARCH_HERMES_4_405B.id]: NOUSRESEARCH_HERMES_4_405B.supports.input, [NVIDIA_NEMOTRON_3_NANO_30B_A3B.id]: NVIDIA_NEMOTRON_3_NANO_30B_A3B.supports.input, @@ -21155,8 +22014,6 @@ export const OPENROUTER_MODEL_INPUT_MODALITIES: Readonly< NVIDIA_NEMOTRON_3_ULTRA_550B_A55B_FREE.supports.input, [NVIDIA_NEMOTRON_3_5_CONTENT_SAFETY.id]: NVIDIA_NEMOTRON_3_5_CONTENT_SAFETY.supports.input, - [NVIDIA_NEMOTRON_3_5_CONTENT_SAFETY_FREE.id]: - NVIDIA_NEMOTRON_3_5_CONTENT_SAFETY_FREE.supports.input, [NVIDIA_NEMOTRON_3_5_LIGHTNING.id]: NVIDIA_NEMOTRON_3_5_LIGHTNING.supports.input, [NVIDIA_NEMOTRON_3_5_LIGHTNING_FREE.id]: @@ -21272,6 +22129,7 @@ export const OPENROUTER_MODEL_INPUT_MODALITIES: Readonly< [OPENAI_O3_BATCH.id]: OPENAI_O3_BATCH.supports.input, [OPENAI_O4_MINI_BATCH.id]: OPENAI_O4_MINI_BATCH.supports.input, [PARTICLE_AI_PARTICLE_1.id]: PARTICLE_AI_PARTICLE_1.supports.input, + [PARTICLE_AI_PARTICLE_1_FREE.id]: PARTICLE_AI_PARTICLE_1_FREE.supports.input, [PERCEPTRON_PERCEPTRON_MK1.id]: PERCEPTRON_PERCEPTRON_MK1.supports.input, [PERCEPTRON_PERCEPTRON_MK1_5.id]: PERCEPTRON_PERCEPTRON_MK1_5.supports.input, [PERPLEXITY_SONAR.id]: PERPLEXITY_SONAR.supports.input, @@ -21286,7 +22144,6 @@ export const OPENROUTER_MODEL_INPUT_MODALITIES: Readonly< [PRISM_ML_TERNARY_BONSAI_2_9B.id]: PRISM_ML_TERNARY_BONSAI_2_9B.supports.input, [QWEN_QWEN_2_5_72B_INSTRUCT.id]: QWEN_QWEN_2_5_72B_INSTRUCT.supports.input, - [QWEN_QWEN_2_5_7B_INSTRUCT.id]: QWEN_QWEN_2_5_7B_INSTRUCT.supports.input, [QWEN_QWEN_2_5_CODER_32B_INSTRUCT.id]: QWEN_QWEN_2_5_CODER_32B_INSTRUCT.supports.input, [QWEN_QWEN_PLUS.id]: QWEN_QWEN_PLUS.supports.input, @@ -21332,8 +22189,10 @@ export const OPENROUTER_MODEL_INPUT_MODALITIES: Readonly< [QWEN_QWEN3_7_PLUS_BATCH.id]: QWEN_QWEN3_7_PLUS_BATCH.supports.input, [QWEN_QWEN3_8_2_4T_A95B.id]: QWEN_QWEN3_8_2_4T_A95B.supports.input, [QWEN_QWEN3_8_27B.id]: QWEN_QWEN3_8_27B.supports.input, + [QWEN_QWEN3_8_27B_BATCH.id]: QWEN_QWEN3_8_27B_BATCH.supports.input, [QWEN_QWEN3_8_FLASH.id]: QWEN_QWEN3_8_FLASH.supports.input, [QWEN_QWEN3_8_MAX_0902.id]: QWEN_QWEN3_8_MAX_0902.supports.input, + [QWEN_QWEN3_8_MAX_0902_BATCH.id]: QWEN_QWEN3_8_MAX_0902_BATCH.supports.input, [QWEN_QWEN3_8_MAX_PRIME.id]: QWEN_QWEN3_8_MAX_PRIME.supports.input, [QWEN_QWEN3_8_OMNI_FLASH.id]: QWEN_QWEN3_8_OMNI_FLASH.supports.input, [RECURSIVE_FLINT_V1_0_FREE.id]: RECURSIVE_FLINT_V1_0_FREE.supports.input, @@ -21353,7 +22212,6 @@ export const OPENROUTER_MODEL_INPUT_MODALITIES: Readonly< [SAO10K_L3_1_EURYALE_70B.id]: SAO10K_L3_1_EURYALE_70B.supports.input, [SCALEDOWN_EXTRACT.id]: SCALEDOWN_EXTRACT.supports.input, [SCALEDOWN_SUMMARIZE.id]: SCALEDOWN_SUMMARIZE.supports.input, - [STEALTH_CROUTON_ALPHA.id]: STEALTH_CROUTON_ALPHA.supports.input, [STEPFUN_STEP_3_5_FLASH.id]: STEPFUN_STEP_3_5_FLASH.supports.input, [STEPFUN_STEP_3_7_FLASH.id]: STEPFUN_STEP_3_7_FLASH.supports.input, [STEPFUN_STEP_5_PREVIEW.id]: STEPFUN_STEP_5_PREVIEW.supports.input, @@ -21370,9 +22228,17 @@ export const OPENROUTER_MODEL_INPUT_MODALITIES: Readonly< [THEDRUMMER_SKYFALL_36B_V2.id]: THEDRUMMER_SKYFALL_36B_V2.supports.input, [THEDRUMMER_UNSLOPNEMO_12B.id]: THEDRUMMER_UNSLOPNEMO_12B.supports.input, [THINKINGMACHINES_INKLING.id]: THINKINGMACHINES_INKLING.supports.input, + [THINKINGMACHINES_INKLING_2_SMALL.id]: + THINKINGMACHINES_INKLING_2_SMALL.supports.input, + [THINKINGMACHINES_INKLING_2_SMALL_FREE.id]: + THINKINGMACHINES_INKLING_2_SMALL_FREE.supports.input, [THINKINGMACHINES_INKLING_SMALL.id]: THINKINGMACHINES_INKLING_SMALL.supports.input, + [THINKINGMACHINES_INKLING_SMALL_BATCH.id]: + THINKINGMACHINES_INKLING_SMALL_BATCH.supports.input, [UNBIASED_PARETO_26_10.id]: UNBIASED_PARETO_26_10.supports.input, + [UNBIASED_PARETO_26_10_PREVIEW.id]: + UNBIASED_PARETO_26_10_PREVIEW.supports.input, [UNBIASED_PARETO_26_9.id]: UNBIASED_PARETO_26_9.supports.input, [UNDI95_REMM_SLERP_L2_13B.id]: UNDI95_REMM_SLERP_L2_13B.supports.input, [UPSTAGE_SOLAR_MINI4.id]: UPSTAGE_SOLAR_MINI4.supports.input, @@ -21394,8 +22260,6 @@ export const OPENROUTER_MODEL_INPUT_MODALITIES: Readonly< [XIAOMI_MIMO_V2_6_PRO.id]: XIAOMI_MIMO_V2_6_PRO.supports.input, [XIAOMI_MIMO_V2_6_PRO_ULTRASPEED.id]: XIAOMI_MIMO_V2_6_PRO_ULTRASPEED.supports.input, - [XINGCHEN_AGI_XING4_0_29B_A4B_FREE.id]: - XINGCHEN_AGI_XING4_0_29B_A4B_FREE.supports.input, [Z_AI_GLM_4_5.id]: Z_AI_GLM_4_5.supports.input, [Z_AI_GLM_4_5_AIR.id]: Z_AI_GLM_4_5_AIR.supports.input, [Z_AI_GLM_4_5V.id]: Z_AI_GLM_4_5V.supports.input, @@ -21407,6 +22271,7 @@ export const OPENROUTER_MODEL_INPUT_MODALITIES: Readonly< [Z_AI_GLM_5_TURBO.id]: Z_AI_GLM_5_TURBO.supports.input, [Z_AI_GLM_5_1.id]: Z_AI_GLM_5_1.supports.input, [Z_AI_GLM_5_2.id]: Z_AI_GLM_5_2.supports.input, + [Z_AI_GLM_5_2_BATCH.id]: Z_AI_GLM_5_2_BATCH.supports.input, [Z_AI_GLM_5_3.id]: Z_AI_GLM_5_3.supports.input, [Z_AI_GLM_5_3_FLASH.id]: Z_AI_GLM_5_3_FLASH.supports.input, [Z_AI_GLM_5_3_FLASH_BATCH.id]: Z_AI_GLM_5_3_FLASH_BATCH.supports.input, @@ -21496,10 +22361,7 @@ const OPENROUTER_REASONING = { [ANTHROPIC_CLAUDE_SONNET_5_5.id]: ANTHROPIC_CLAUDE_SONNET_5_5.reasoning, [ANTHROPIC_CLAUDE_SONNET_5_5_BATCH.id]: ANTHROPIC_CLAUDE_SONNET_5_5_BATCH.reasoning, - [BYTEDANCE_SEED_SEED_1_6.id]: BYTEDANCE_SEED_SEED_1_6.reasoning, - [BYTEDANCE_SEED_SEED_1_6_FLASH.id]: BYTEDANCE_SEED_SEED_1_6_FLASH.reasoning, [BYTEDANCE_SEED_SEED_2_1_TURBO.id]: BYTEDANCE_SEED_SEED_2_1_TURBO.reasoning, - [BYTEDANCE_SEED_SEED_2_0_CODE.id]: BYTEDANCE_SEED_SEED_2_0_CODE.reasoning, [BYTEDANCE_SEED_SEED_2_0_LITE.id]: BYTEDANCE_SEED_SEED_2_0_LITE.reasoning, [BYTEDANCE_SEED_SEED_2_0_MINI.id]: BYTEDANCE_SEED_SEED_2_0_MINI.reasoning, [COHERE_COMMAND_A_PLUS.id]: COHERE_COMMAND_A_PLUS.reasoning, @@ -21564,11 +22426,8 @@ const OPENROUTER_REASONING = { [GOOGLE_GEMMA_4_31B_IT.id]: GOOGLE_GEMMA_4_31B_IT.reasoning, [GOOGLE_GEMMA_4_31B_IT_FREE.id]: GOOGLE_GEMMA_4_31B_IT_FREE.reasoning, [IBM_GRANITE_GRANITE_4_2_8B.id]: IBM_GRANITE_GRANITE_4_2_8B.reasoning, - [INCEPTION_MERCURY_2.id]: INCEPTION_MERCURY_2.reasoning, - [INCEPTION_MERCURY_2_5.id]: INCEPTION_MERCURY_2_5.reasoning, [INCLUSIONAI_LING_3_0_FLASH.id]: INCLUSIONAI_LING_3_0_FLASH.reasoning, [INCLUSIONAI_LING_3_0_FLASH_VL.id]: INCLUSIONAI_LING_3_0_FLASH_VL.reasoning, - [LIQUID_LFM_2_5_2_6B_FREE.id]: LIQUID_LFM_2_5_2_6B_FREE.reasoning, [MEITUAN_LONGCAT_2_0.id]: MEITUAN_LONGCAT_2_0.reasoning, [META_MUSE_GLIMMER_30B.id]: META_MUSE_GLIMMER_30B.reasoning, [META_MUSE_SPARK_1_1.id]: META_MUSE_SPARK_1_1.reasoning, @@ -21578,7 +22437,6 @@ const OPENROUTER_REASONING = { [META_MUSE_SPARK_1_3.id]: META_MUSE_SPARK_1_3.reasoning, [META_MUSE_SPARK_1_3_CONTRIBUTOR.id]: META_MUSE_SPARK_1_3_CONTRIBUTOR.reasoning, - [MINIMAX_MINIMAX_M1.id]: MINIMAX_MINIMAX_M1.reasoning, [MINIMAX_MINIMAX_M2_5.id]: MINIMAX_MINIMAX_M2_5.reasoning, [MINIMAX_MINIMAX_M2_7.id]: MINIMAX_MINIMAX_M2_7.reasoning, [MINIMAX_MINIMAX_M3.id]: MINIMAX_MINIMAX_M3.reasoning, @@ -21606,8 +22464,6 @@ const OPENROUTER_REASONING = { NVIDIA_NEMOTRON_3_ULTRA_550B_A55B_FREE.reasoning, [NVIDIA_NEMOTRON_3_5_CONTENT_SAFETY.id]: NVIDIA_NEMOTRON_3_5_CONTENT_SAFETY.reasoning, - [NVIDIA_NEMOTRON_3_5_CONTENT_SAFETY_FREE.id]: - NVIDIA_NEMOTRON_3_5_CONTENT_SAFETY_FREE.reasoning, [NVIDIA_NEMOTRON_3_5_LIGHTNING.id]: NVIDIA_NEMOTRON_3_5_LIGHTNING.reasoning, [NVIDIA_NEMOTRON_3_5_LIGHTNING_FREE.id]: NVIDIA_NEMOTRON_3_5_LIGHTNING_FREE.reasoning, @@ -21798,7 +22654,6 @@ export const OPENROUTER_VIDEO_MODELS = [ 'black-forest-labs/flux-3-video', 'black-forest-labs/flux-video-edit', 'black-forest-labs/flux-video-upscale', - 'bytedance/seedance-1-5-pro', 'bytedance/seedance-2.0', 'bytedance/seedance-2.0-fast', 'bytedance/seedance-2.0-mini', @@ -21963,38 +22818,6 @@ export const OPENROUTER_VIDEO_MODEL_META = { generateAudio: false, seed: false, }, - 'bytedance/seedance-1-5-pro': { - name: 'ByteDance: Seedance 1.5 Pro', - durations: [4, 5, 6, 7, 8, 9, 10, 11, 12], - resolutions: ['480p', '720p', '1080p'], - aspectRatios: ['1:1', '3:4', '9:16', '9:21', '4:3', '16:9', '21:9'], - frameImages: ['first_frame', 'last_frame'], - sizes: [ - '480x480', - '480x640', - '480x854', - '480x1120', - '640x480', - '720x720', - '720x960', - '720x1280', - '720x1680', - '854x480', - '960x720', - '1080x1080', - '1080x1440', - '1080x1920', - '1080x2520', - '1120x480', - '1280x720', - '1440x1080', - '1680x720', - '1920x1080', - '2520x1080', - ], - generateAudio: true, - seed: true, - }, 'bytedance/seedance-2.0': { name: 'ByteDance: Seedance 2.0', durations: [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], @@ -22387,6 +23210,8 @@ export const OPENROUTER_COMBINED_TOOLS_AND_SCHEMA_MODELS: ReadonlySet = ANTHROPIC_CLAUDE_FABLE_5_BATCH.id, ANTHROPIC_CLAUDE_FABLE_5_1.id, ANTHROPIC_CLAUDE_FABLE_5_1_BATCH.id, + ANTHROPIC_CLAUDE_FABLE_5_2.id, + ANTHROPIC_CLAUDE_FABLE_5_2_BATCH.id, ANTHROPIC_CLAUDE_HAIKU_4_5.id, ANTHROPIC_CLAUDE_HAIKU_4_5_BATCH.id, ANTHROPIC_CLAUDE_HAIKU_5_5.id, @@ -22412,14 +23237,16 @@ export const OPENROUTER_COMBINED_TOOLS_AND_SCHEMA_MODELS: ReadonlySet = ANTHROPIC_CLAUDE_SONNET_5_BATCH.id, ANTHROPIC_CLAUDE_SONNET_5_5.id, ANTHROPIC_CLAUDE_SONNET_5_5_BATCH.id, - BYTEDANCE_SEED_SEED_1_6.id, - BYTEDANCE_SEED_SEED_1_6_FLASH.id, + BAIDU_ERNIE_5_5_FLASH_PREVIEW_FREE.id, + BAIDU_ERNIE_LIGHT_DT_1_0_INTL.id, BYTEDANCE_SEED_SEED_2_1_TURBO.id, - BYTEDANCE_SEED_SEED_2_0_CODE.id, BYTEDANCE_SEED_SEED_2_0_LITE.id, BYTEDANCE_SEED_SEED_2_0_MINI.id, + COHERE_COMMAND_A.id, + COHERE_COMMAND_A_PLUS.id, COHERE_COMMAND_R_08_2024.id, COHERE_COMMAND_R_PLUS_08_2024.id, + COHERE_COMMAND_R7B_12_2024.id, DEEPSEEK_DEEPSEEK_CHAT.id, DEEPSEEK_DEEPSEEK_CHAT_V3_0324.id, DEEPSEEK_DEEPSEEK_CHAT_V3_1.id, @@ -22429,11 +23256,13 @@ export const OPENROUTER_COMBINED_TOOLS_AND_SCHEMA_MODELS: ReadonlySet = DEEPSEEK_DEEPSEEK_V3_2_EXP.id, DEEPSEEK_DEEPSEEK_V4_FLASH.id, DEEPSEEK_DEEPSEEK_V4_FLASH_0731.id, + DEEPSEEK_DEEPSEEK_V4_FLASH_0731_BATCH.id, DEEPSEEK_DEEPSEEK_V4_FLASH_VISION_EXP.id, DEEPSEEK_DEEPSEEK_V4_PRO.id, DEEPSEEK_DEEPSEEK_V4_PRO_0813.id, DEEPSEEK_DEEPSEEK_V4_1_FLASH.id, DEEPSEEK_DEEPSEEK_V4_1_FLASH_1017.id, + DEEPSEEK_DEEPSEEK_V4_1_FLASH_1017_BATCH.id, DEEPSEEK_DEEPSEEK_V4_1_FLASH_BATCH.id, DOTS_STUDIO_DOTS_3_NOTE_PREVIEW_FREE.id, ELORIAN_GLIMPSE.id, @@ -22463,26 +23292,30 @@ export const OPENROUTER_COMBINED_TOOLS_AND_SCHEMA_MODELS: ReadonlySet = GOOGLE_GEMINI_3_8_FLASH_BATCH.id, GOOGLE_GEMINI_4_ARGON.id, GOOGLE_GEMINI_4_ARGON_BATCH.id, + GOOGLE_GEMINI_4_CARBON.id, + GOOGLE_GEMINI_4_CARBON_BATCH.id, + GOOGLE_GEMINI_4_HYDROGEN.id, + GOOGLE_GEMINI_4_HYDROGEN_BATCH.id, GOOGLE_GEMINI_NANO_BANANA_2_1.id, GOOGLE_GEMMA_3_12B_IT.id, GOOGLE_GEMMA_3_27B_IT.id, GOOGLE_GEMMA_4_26B_A4B_IT.id, GOOGLE_GEMMA_4_31B_IT.id, IBM_GRANITE_GRANITE_4_2_8B.id, - INCEPTION_MERCURY_2.id, - INCEPTION_MERCURY_2_5.id, - INCEPTION_MERCURY_3.id, INCLUSIONAI_LING_3_0_FLASH_VL.id, INCLUSIONAI_LING_3_0_TINY.id, - INCLUSIONAI_LING_3_1_FLASH.id, - LIQUID_LFM_2_5_2_6B.id, - LIQUID_LFM_2_5_2_6B_FREE.id, + INCLUSIONAI_LING_3_2_FLASH_FREE.id, + KT_MIDM_K_3_0_PRO.id, LIQUID_LFM_2_5_24B_A2B.id, + LIQUID_LFM_3_1_7B.id, + LIQUID_LFM_3_1_7B_FREE.id, META_LLAMA_LLAMA_3_1_8B_INSTRUCT.id, META_LLAMA_LLAMA_3_3_70B_INSTRUCT.id, META_LLAMA_LLAMA_4_MAVERICK.id, META_LLAMA_LLAMA_4_SCOUT.id, + META_MUSE_EMBER.id, META_MUSE_GLIMMER_30B.id, + META_MUSE_GLIMMER_30B_BATCH.id, META_MUSE_SPARK_1_1.id, META_MUSE_SPARK_1_2.id, META_MUSE_SPARK_1_2_CONTRIBUTOR.id, @@ -22521,7 +23354,9 @@ export const OPENROUTER_COMBINED_TOOLS_AND_SCHEMA_MODELS: ReadonlySet = MOONSHOTAI_KIMI_K3.id, MOONSHOTAI_KIMI_K3_BATCH.id, MOONSHOTAI_KIMI_K3_1_PRO.id, + MOTIF_TECHNOLOGIES_MOTIF_3.id, NEX_AGI_NEX_N2_5_PRO.id, + NEX_AGI_NEX_N2_6.id, NVIDIA_NEMOTRON_3_NANO_30B_A3B.id, NVIDIA_NEMOTRON_3_SUPER_120B_A12B.id, NVIDIA_NEMOTRON_3_ULTRA_550B_A55B.id, @@ -22623,11 +23458,11 @@ export const OPENROUTER_COMBINED_TOOLS_AND_SCHEMA_MODELS: ReadonlySet = OPENAI_O3_BATCH.id, OPENAI_O4_MINI_BATCH.id, PARTICLE_AI_PARTICLE_1.id, + PARTICLE_AI_PARTICLE_1_FREE.id, PERCEPTRON_PERCEPTRON_MK1_5.id, PRISM_ML_TERNARY_BONSAI_2_27B.id, PRISM_ML_TERNARY_BONSAI_2_9B.id, QWEN_QWEN_2_5_72B_INSTRUCT.id, - QWEN_QWEN_2_5_7B_INSTRUCT.id, QWEN_QWEN_PLUS.id, QWEN_QWEN3_14B.id, QWEN_QWEN3_235B_A22B_2507.id, @@ -22659,22 +23494,25 @@ export const OPENROUTER_COMBINED_TOOLS_AND_SCHEMA_MODELS: ReadonlySet = QWEN_QWEN3_7_PLUS_BATCH.id, QWEN_QWEN3_8_2_4T_A95B.id, QWEN_QWEN3_8_27B.id, + QWEN_QWEN3_8_27B_BATCH.id, QWEN_QWEN3_8_FLASH.id, QWEN_QWEN3_8_MAX_0902.id, + QWEN_QWEN3_8_MAX_0902_BATCH.id, QWEN_QWEN3_8_MAX_PRIME.id, QWEN_QWEN3_8_OMNI_FLASH.id, REFLECTION_BEAM_1_0_501B_A23B.id, REKAAI_REKA_EDGE.id, + RICURSIVEAI_RIPPLE_65B_PREVIEW.id, SAKANA_FUGU_MAX.id, SAKANA_FUGU_ULTRA.id, SAKANA_FUGU_ULTRA_V2.id, SAKANA_SAKANA_NAMAZU.id, - STEALTH_CROUTON_ALPHA.id, STEPFUN_STEP_3_7_FLASH.id, STEPFUN_STEP_5_PREVIEW.id, TENCENT_HY3.id, TENCENT_HY4.id, TENCENT_HY4_PREVIEW.id, + THINKINGMACHINES_INKLING_2_SMALL.id, UPSTAGE_SOLAR_MINI4.id, UPSTAGE_SOLAR_PRO4.id, X_AI_GROK_4_20.id, @@ -22691,16 +23529,17 @@ export const OPENROUTER_COMBINED_TOOLS_AND_SCHEMA_MODELS: ReadonlySet = XIAOMI_MIMO_V2_6_FLASH.id, XIAOMI_MIMO_V2_6_PRO.id, XIAOMI_MIMO_V2_6_PRO_ULTRASPEED.id, - XINGCHEN_AGI_XING4_0_29B_A4B_FREE.id, Z_AI_GLM_4_6.id, Z_AI_GLM_4_7.id, Z_AI_GLM_4_7_FLASH.id, Z_AI_GLM_5.id, Z_AI_GLM_5_1.id, Z_AI_GLM_5_2.id, + Z_AI_GLM_5_2_BATCH.id, Z_AI_GLM_5_3.id, Z_AI_GLM_5_3_FLASH.id, Z_AI_GLM_5_3_FLASH_BATCH.id, + Z_AI_GLM_5_3_FLASHX.id, Z_AI_GLM_5_3_FLASHX_LEGAL.id, Z_AI_GLM_5_3_BATCH.id, ]) @@ -22724,19 +23563,19 @@ export const OPENROUTER_JSON_OBJECT_ONLY_MODELS: ReadonlySet = INCLUSIONAI_LING_3_0_FLASH.id, MANCER_WEAVER.id, MINIMAX_MINIMAX_M2_7.id, + MINIMAX_MINIMAX_M3_BATCH.id, OPENAI_GPT_4.id, QWEN_QWEN_2_5_CODER_32B_INSTRUCT.id, QWEN_QWEN3_CODER_FLASH.id, QWEN_QWEN3_7_FLASH.id, RECURSIVE_FLINT_V1_0_FREE.id, RELACE_RELACE_SEARCH.id, - RICURSIVEAI_RIPPLE_65B_PREVIEW.id, + UNBIASED_PARETO_26_10_PREVIEW.id, UNBIASED_PARETO_26_9.id, Z_AI_GLM_4_5.id, Z_AI_GLM_4_5V.id, Z_AI_GLM_4_6V.id, Z_AI_GLM_5_TURBO.id, - Z_AI_GLM_5_3_FLASHX.id, Z_AI_GLM_5_3_PRIME.id, Z_AI_GLM_5V_TURBO.id, ]) diff --git a/packages/ai-vercel-gateway/src/model-meta.ts b/packages/ai-vercel-gateway/src/model-meta.ts index f68aaac316..cc481cb36e 100644 --- a/packages/ai-vercel-gateway/src/model-meta.ts +++ b/packages/ai-vercel-gateway/src/model-meta.ts @@ -30,6 +30,7 @@ export const VERCEL_GATEWAY_CHAT_MODELS = [ 'alibaba/qwen3.5-flash', 'alibaba/qwen3.5-plus', 'alibaba/qwen3.6-27b', + 'alibaba/qwen3.6-35b-a3b', 'alibaba/qwen3.6-plus', 'alibaba/qwen3.7-flash', 'alibaba/qwen3.7-max', @@ -49,6 +50,9 @@ export const VERCEL_GATEWAY_CHAT_MODELS = [ 'anthropic/claude-fable-5-batch', 'anthropic/claude-fable-5.1', 'anthropic/claude-fable-5.1-batch', + 'anthropic/claude-fable-5.2', + 'anthropic/claude-fable-5.2-batch', + 'anthropic/claude-fable-5.2-fast', 'anthropic/claude-haiku-4.5', 'anthropic/claude-haiku-4.5-batch', 'anthropic/claude-haiku-5.5', @@ -79,8 +83,6 @@ export const VERCEL_GATEWAY_CHAT_MODELS = [ 'baseten/elephant-1', 'baseten/joey-1', 'baseten/mammoth-1', - 'bytedance/seed-1.6', - 'bytedance/seed-1.8', 'bytedance/seed-2.1-turbo', 'callstack/apex', 'cohere/command-a', @@ -97,6 +99,7 @@ export const VERCEL_GATEWAY_CHAT_MODELS = [ 'deepseek/deepseek-v4.1-flash', 'deepseek/deepseek-v4.1-flash-1017', 'deepseek/deepseek-v4.1-flash-1017-fast', + 'deepseek/deepseek-v4.1-flash-1017-ultrafast', 'deepseek/deepseek-v4.1-flash-fast', 'elevenlabs/eleven-flash-v2', 'elevenlabs/eleven-flash-v2.5', @@ -149,11 +152,15 @@ export const VERCEL_GATEWAY_CHAT_MODELS = [ 'google/gemini-3.8-live', 'google/gemini-3.8-live-extended-thinking', 'google/gemini-4-argon', + 'google/gemini-4-carbon', + 'google/gemini-4-hydrogen', + 'google/gemini-decision-1', 'google/gemini-nano-banana-2.1', 'google/gemini-omni-1.2-flash', 'google/gemini-omni-flash-preview', 'google/gemma-4-26b-a4b-it', 'google/gemma-4-31b-it', + 'humansand/ampersand-v0.1', 'inception/mercury-2', 'inception/mercury-2.5', 'inception/mercury-3', @@ -176,6 +183,7 @@ export const VERCEL_GATEWAY_CHAT_MODELS = [ 'meta/llama-3.3-70b', 'meta/llama-4-maverick', 'meta/llama-4-scout', + 'meta/muse-ember', 'meta/muse-glimmer-30b', 'meta/muse-spark-1.1', 'meta/muse-spark-1.2', @@ -224,7 +232,9 @@ export const VERCEL_GATEWAY_CHAT_MODELS = [ 'moonshotai/kimi-k3.1-pro-highspeed', 'morph/morph-v3-fast', 'morph/morph-v3-large', - 'nvidia/nemotron-3-nano-30b-a3b', + 'nace-ai/drex-max-finance', + 'nace-ai/drex-max-v1.1', + 'nace-ai/drex-v2.0', 'nvidia/nemotron-3-super-120b-a12b', 'nvidia/nemotron-3-ultra-550b-a55b', 'nvidia/nemotron-3.5-lightning', @@ -329,11 +339,14 @@ export const VERCEL_GATEWAY_CHAT_MODELS = [ 'openai/tts-1', 'openai/tts-1-hd', 'openai/whisper-1', + 'paperinstruments/ultramarine-1-flash', + 'parallel/parallel-decisions-fast', 'particle/particle-1', 'perplexity/pplx-decider-flash-v1.2', + 'perplexity/pplx-decider-flash-v1.3', 'perplexity/pplx-decider-v1.2', + 'perplexity/pplx-decider-v1.3', 'perplexity/sonar', - 'poolside/laguna-s-2.1', 'quiverai/arrow-2', 'quiverai/arrow-2-telos', 'reflection/beam', @@ -373,6 +386,7 @@ export const VERCEL_GATEWAY_CHAT_MODELS = [ 'tencent/hy4', 'tencent/hy4-preview', 'thinkingmachines/inkling', + 'thinkingmachines/inkling-2-small', 'thinkingmachines/inkling-small', 'typesafe-ai/jev', 'typesafe-ai/jev-1.13.0', @@ -419,6 +433,7 @@ export const VERCEL_GATEWAY_PROVIDERS = [ 'fish-audio', 'google', 'heygen', + 'humansand', 'inception', 'inclusionai', 'inference-net', @@ -433,11 +448,13 @@ export const VERCEL_GATEWAY_PROVIDERS = [ 'mixedbread', 'moonshotai', 'morph', + 'nace-ai', 'nvidia', 'openai', + 'paperinstruments', + 'parallel', 'particle', 'perplexity', - 'poolside', 'prodia', 'quiverai', 'recraft', @@ -537,6 +554,8 @@ export const VERCEL_GATEWAY_IMAGE_MODELS = [ 'meta/muse-image-1.0', 'microsoft/mai-image-2.6', 'microsoft/mai-image-2.6-flash', + 'minimax/minimax-h3-image', + 'minimax/minimax-h3-image-highspeed', 'openai/gpt-image-1-mini', 'openai/gpt-image-1.5', 'openai/gpt-image-2', @@ -683,6 +702,16 @@ export type VercelGatewayChatModelProviderOptionsByName = { VercelGatewayBaseOptions, 'max_tokens' | 'max_output_tokens' | 'temperature' | 'stop' > + 'alibaba/qwen3.6-35b-a3b': VercelGatewayCommonOptions & + Pick< + VercelGatewayBaseOptions, + | 'max_tokens' + | 'max_output_tokens' + | 'temperature' + | 'stop' + | 'response_format' + | 'structured_outputs' + > 'alibaba/qwen3.6-plus': VercelGatewayCommonOptions & Pick< VercelGatewayBaseOptions, @@ -861,6 +890,33 @@ export type VercelGatewayChatModelProviderOptionsByName = { | 'response_format' | 'structured_outputs' > + 'anthropic/claude-fable-5.2': VercelGatewayCommonOptions & + Pick< + VercelGatewayBaseOptions, + | 'max_tokens' + | 'max_output_tokens' + | 'stop' + | 'response_format' + | 'structured_outputs' + > + 'anthropic/claude-fable-5.2-batch': VercelGatewayCommonOptions & + Pick< + VercelGatewayBaseOptions, + | 'max_tokens' + | 'max_output_tokens' + | 'stop' + | 'response_format' + | 'structured_outputs' + > + 'anthropic/claude-fable-5.2-fast': VercelGatewayCommonOptions & + Pick< + VercelGatewayBaseOptions, + | 'max_tokens' + | 'max_output_tokens' + | 'stop' + | 'response_format' + | 'structured_outputs' + > 'anthropic/claude-haiku-4.5': VercelGatewayCommonOptions & Pick< VercelGatewayBaseOptions, @@ -1122,16 +1178,6 @@ export type VercelGatewayChatModelProviderOptionsByName = { 'baseten/elephant-1': VercelGatewayCommonOptions 'baseten/joey-1': VercelGatewayCommonOptions 'baseten/mammoth-1': VercelGatewayCommonOptions - 'bytedance/seed-1.6': VercelGatewayCommonOptions & - Pick< - VercelGatewayBaseOptions, - 'max_tokens' | 'max_output_tokens' | 'temperature' | 'stop' - > - 'bytedance/seed-1.8': VercelGatewayCommonOptions & - Pick< - VercelGatewayBaseOptions, - 'max_tokens' | 'max_output_tokens' | 'temperature' | 'stop' - > 'bytedance/seed-2.1-turbo': VercelGatewayCommonOptions & Pick< VercelGatewayBaseOptions, @@ -1258,6 +1304,16 @@ export type VercelGatewayChatModelProviderOptionsByName = { | 'response_format' | 'structured_outputs' > + 'deepseek/deepseek-v4.1-flash-1017-ultrafast': VercelGatewayCommonOptions & + Pick< + VercelGatewayBaseOptions, + | 'max_tokens' + | 'max_output_tokens' + | 'temperature' + | 'stop' + | 'response_format' + | 'structured_outputs' + > 'deepseek/deepseek-v4.1-flash-fast': VercelGatewayCommonOptions & Pick< VercelGatewayBaseOptions, @@ -1549,6 +1605,27 @@ export type VercelGatewayChatModelProviderOptionsByName = { | 'response_format' | 'structured_outputs' > + 'google/gemini-4-carbon': VercelGatewayCommonOptions & + Pick< + VercelGatewayBaseOptions, + | 'max_tokens' + | 'max_output_tokens' + | 'temperature' + | 'stop' + | 'response_format' + | 'structured_outputs' + > + 'google/gemini-4-hydrogen': VercelGatewayCommonOptions & + Pick< + VercelGatewayBaseOptions, + | 'max_tokens' + | 'max_output_tokens' + | 'temperature' + | 'stop' + | 'response_format' + | 'structured_outputs' + > + 'google/gemini-decision-1': VercelGatewayCommonOptions 'google/gemini-nano-banana-2.1': VercelGatewayCommonOptions & Pick< VercelGatewayBaseOptions, @@ -1594,6 +1671,11 @@ export type VercelGatewayChatModelProviderOptionsByName = { | 'response_format' | 'structured_outputs' > + 'humansand/ampersand-v0.1': VercelGatewayCommonOptions & + Pick< + VercelGatewayBaseOptions, + 'max_tokens' | 'max_output_tokens' | 'temperature' | 'stop' + > 'inception/mercury-2': VercelGatewayCommonOptions & Pick< VercelGatewayBaseOptions, @@ -1642,12 +1724,7 @@ export type VercelGatewayChatModelProviderOptionsByName = { 'inclusionai/ling-3.0-flash-fin': VercelGatewayCommonOptions & Pick< VercelGatewayBaseOptions, - | 'max_tokens' - | 'max_output_tokens' - | 'temperature' - | 'stop' - | 'response_format' - | 'structured_outputs' + 'max_tokens' | 'max_output_tokens' | 'temperature' | 'stop' > 'inclusionai/ling-3.0-flash-sante': VercelGatewayCommonOptions & Pick< @@ -1756,6 +1833,16 @@ export type VercelGatewayChatModelProviderOptionsByName = { | 'response_format' | 'structured_outputs' > + 'meta/muse-ember': VercelGatewayCommonOptions & + Pick< + VercelGatewayBaseOptions, + | 'max_tokens' + | 'max_output_tokens' + | 'temperature' + | 'stop' + | 'response_format' + | 'structured_outputs' + > 'meta/muse-glimmer-30b': VercelGatewayCommonOptions & Pick< VercelGatewayBaseOptions, @@ -2132,11 +2219,9 @@ export type VercelGatewayChatModelProviderOptionsByName = { | 'response_format' | 'structured_outputs' > - 'nvidia/nemotron-3-nano-30b-a3b': VercelGatewayCommonOptions & - Pick< - VercelGatewayBaseOptions, - 'max_tokens' | 'max_output_tokens' | 'temperature' | 'stop' - > + 'nace-ai/drex-max-finance': VercelGatewayCommonOptions + 'nace-ai/drex-max-v1.1': VercelGatewayCommonOptions + 'nace-ai/drex-v2.0': VercelGatewayCommonOptions 'nvidia/nemotron-3-super-120b-a12b': VercelGatewayCommonOptions & Pick< VercelGatewayBaseOptions, @@ -3030,13 +3115,26 @@ export type VercelGatewayChatModelProviderOptionsByName = { 'openai/tts-1': VercelGatewayCommonOptions 'openai/tts-1-hd': VercelGatewayCommonOptions 'openai/whisper-1': VercelGatewayCommonOptions + 'paperinstruments/ultramarine-1-flash': VercelGatewayCommonOptions & + Pick< + VercelGatewayBaseOptions, + | 'max_tokens' + | 'max_output_tokens' + | 'temperature' + | 'stop' + | 'response_format' + | 'structured_outputs' + > + 'parallel/parallel-decisions-fast': VercelGatewayCommonOptions 'particle/particle-1': VercelGatewayCommonOptions & Pick< VercelGatewayBaseOptions, 'max_tokens' | 'max_output_tokens' | 'temperature' | 'stop' > 'perplexity/pplx-decider-flash-v1.2': VercelGatewayCommonOptions + 'perplexity/pplx-decider-flash-v1.3': VercelGatewayCommonOptions 'perplexity/pplx-decider-v1.2': VercelGatewayCommonOptions + 'perplexity/pplx-decider-v1.3': VercelGatewayCommonOptions 'perplexity/sonar': VercelGatewayCommonOptions & Pick< VercelGatewayBaseOptions, @@ -3047,11 +3145,6 @@ export type VercelGatewayChatModelProviderOptionsByName = { | 'response_format' | 'structured_outputs' > - 'poolside/laguna-s-2.1': VercelGatewayCommonOptions & - Pick< - VercelGatewayBaseOptions, - 'max_tokens' | 'max_output_tokens' | 'temperature' | 'stop' - > 'quiverai/arrow-2': VercelGatewayCommonOptions & Pick< VercelGatewayBaseOptions, @@ -3380,6 +3473,16 @@ export type VercelGatewayChatModelProviderOptionsByName = { | 'response_format' | 'structured_outputs' > + 'thinkingmachines/inkling-2-small': VercelGatewayCommonOptions & + Pick< + VercelGatewayBaseOptions, + | 'max_tokens' + | 'max_output_tokens' + | 'temperature' + | 'stop' + | 'response_format' + | 'structured_outputs' + > 'thinkingmachines/inkling-small': VercelGatewayCommonOptions & Pick< VercelGatewayBaseOptions, @@ -3610,6 +3713,7 @@ export type VercelGatewayModelInputModalitiesByName = { 'alibaba/qwen3.5-flash': readonly ['text', 'image', 'document'] 'alibaba/qwen3.5-plus': readonly ['text', 'image', 'document'] 'alibaba/qwen3.6-27b': readonly ['text', 'image', 'document'] + 'alibaba/qwen3.6-35b-a3b': readonly ['text', 'image', 'video'] 'alibaba/qwen3.6-plus': readonly ['text', 'image', 'document'] 'alibaba/qwen3.7-flash': readonly ['text', 'image', 'document'] 'alibaba/qwen3.7-max': readonly ['text'] @@ -3629,6 +3733,9 @@ export type VercelGatewayModelInputModalitiesByName = { 'anthropic/claude-fable-5-batch': readonly ['text', 'image', 'document'] 'anthropic/claude-fable-5.1': readonly ['text', 'image', 'document'] 'anthropic/claude-fable-5.1-batch': readonly ['text', 'image', 'document'] + 'anthropic/claude-fable-5.2': readonly ['text', 'image', 'document'] + 'anthropic/claude-fable-5.2-batch': readonly ['text', 'image', 'document'] + 'anthropic/claude-fable-5.2-fast': readonly ['text', 'image', 'document'] 'anthropic/claude-haiku-4.5': readonly ['text', 'image', 'document'] 'anthropic/claude-haiku-4.5-batch': readonly ['text', 'image', 'document'] 'anthropic/claude-haiku-5.5': readonly ['text', 'image', 'document'] @@ -3659,8 +3766,6 @@ export type VercelGatewayModelInputModalitiesByName = { 'baseten/elephant-1': readonly ['text'] 'baseten/joey-1': readonly ['text'] 'baseten/mammoth-1': readonly ['text'] - 'bytedance/seed-1.6': readonly ['text', 'image'] - 'bytedance/seed-1.8': readonly ['text', 'image'] 'bytedance/seed-2.1-turbo': readonly ['text', 'image', 'video'] 'callstack/apex': readonly ['text', 'image'] 'cohere/command-a': readonly ['text'] @@ -3675,8 +3780,9 @@ export type VercelGatewayModelInputModalitiesByName = { 'deepseek/deepseek-v4-pro': readonly ['text'] 'deepseek/deepseek-v4-pro-0813': readonly ['text'] 'deepseek/deepseek-v4.1-flash': readonly ['text', 'image', 'document'] - 'deepseek/deepseek-v4.1-flash-1017': readonly ['text', 'image'] + 'deepseek/deepseek-v4.1-flash-1017': readonly ['text', 'image', 'document'] 'deepseek/deepseek-v4.1-flash-1017-fast': readonly ['text', 'image'] + 'deepseek/deepseek-v4.1-flash-1017-ultrafast': readonly ['text', 'image'] 'deepseek/deepseek-v4.1-flash-fast': readonly ['text', 'image'] 'elevenlabs/eleven-flash-v2': readonly ['text'] 'elevenlabs/eleven-flash-v2.5': readonly ['text'] @@ -3744,6 +3850,9 @@ export type VercelGatewayModelInputModalitiesByName = { 'google/gemini-3.8-live': readonly ['text', 'audio'] 'google/gemini-3.8-live-extended-thinking': readonly ['text', 'audio'] 'google/gemini-4-argon': readonly ['text', 'image', 'document', 'video'] + 'google/gemini-4-carbon': readonly ['text', 'image', 'document', 'video'] + 'google/gemini-4-hydrogen': readonly ['text', 'image', 'document', 'video'] + 'google/gemini-decision-1': readonly ['text', 'image', 'document'] 'google/gemini-nano-banana-2.1': readonly ['text', 'image'] 'google/gemini-omni-1.2-flash': readonly [ 'text', @@ -3759,6 +3868,7 @@ export type VercelGatewayModelInputModalitiesByName = { ] 'google/gemma-4-26b-a4b-it': readonly ['text', 'image', 'document'] 'google/gemma-4-31b-it': readonly ['text', 'image', 'document'] + 'humansand/ampersand-v0.1': readonly ['text'] 'inception/mercury-2': readonly ['text'] 'inception/mercury-2.5': readonly ['text'] 'inception/mercury-3': readonly ['text'] @@ -3781,6 +3891,7 @@ export type VercelGatewayModelInputModalitiesByName = { 'meta/llama-3.3-70b': readonly ['text'] 'meta/llama-4-maverick': readonly ['text', 'image'] 'meta/llama-4-scout': readonly ['text', 'image'] + 'meta/muse-ember': readonly ['text', 'image', 'document'] 'meta/muse-glimmer-30b': readonly ['text', 'image'] 'meta/muse-spark-1.1': readonly ['text', 'image', 'document'] 'meta/muse-spark-1.2': readonly ['text', 'image', 'document'] @@ -3834,7 +3945,9 @@ export type VercelGatewayModelInputModalitiesByName = { 'moonshotai/kimi-k3.1-pro-highspeed': readonly ['text', 'image'] 'morph/morph-v3-fast': readonly ['text'] 'morph/morph-v3-large': readonly ['text'] - 'nvidia/nemotron-3-nano-30b-a3b': readonly ['text'] + 'nace-ai/drex-max-finance': readonly ['text', 'image'] + 'nace-ai/drex-max-v1.1': readonly ['text', 'image'] + 'nace-ai/drex-v2.0': readonly ['text'] 'nvidia/nemotron-3-super-120b-a12b': readonly ['text'] 'nvidia/nemotron-3-ultra-550b-a55b': readonly ['text'] 'nvidia/nemotron-3.5-lightning': readonly ['text'] @@ -3939,11 +4052,14 @@ export type VercelGatewayModelInputModalitiesByName = { 'openai/tts-1': readonly ['text'] 'openai/tts-1-hd': readonly ['text'] 'openai/whisper-1': readonly ['text', 'audio'] + 'paperinstruments/ultramarine-1-flash': readonly ['text', 'image'] + 'parallel/parallel-decisions-fast': readonly ['text'] 'particle/particle-1': readonly ['text', 'image'] 'perplexity/pplx-decider-flash-v1.2': readonly ['text', 'image'] + 'perplexity/pplx-decider-flash-v1.3': readonly ['text', 'image'] 'perplexity/pplx-decider-v1.2': readonly ['text', 'image'] + 'perplexity/pplx-decider-v1.3': readonly ['text', 'image'] 'perplexity/sonar': readonly ['text', 'image'] - 'poolside/laguna-s-2.1': readonly ['text'] 'quiverai/arrow-2': readonly ['text', 'image'] 'quiverai/arrow-2-telos': readonly ['text', 'image'] 'reflection/beam': readonly ['text'] @@ -3983,7 +4099,7 @@ export type VercelGatewayModelInputModalitiesByName = { 'spacexai/grok-voice-3.0': readonly ['text', 'audio'] 'stealth/glyph-cluster': readonly ['text'] 'stepfun/step-3.7-flash': readonly ['text', 'image'] - 'stepfun/step-5-preview': readonly ['text', 'image', 'video'] + 'stepfun/step-5-preview': readonly ['text', 'image'] 'tencent/hy-mt2-lite': readonly ['text'] 'tencent/hy-mt2-plus': readonly ['text'] 'tencent/hy-mt2-pro': readonly ['text'] @@ -3991,6 +4107,7 @@ export type VercelGatewayModelInputModalitiesByName = { 'tencent/hy4': readonly ['text', 'image'] 'tencent/hy4-preview': readonly ['text'] 'thinkingmachines/inkling': readonly ['text', 'image', 'document'] + 'thinkingmachines/inkling-2-small': readonly ['text', 'image'] 'thinkingmachines/inkling-small': readonly ['text', 'image', 'document'] 'typesafe-ai/jev': readonly ['text'] 'typesafe-ai/jev-1.13.0': readonly ['text', 'image'] @@ -4309,8 +4426,6 @@ const VERCEL_GATEWAY_REASONING = { 'anthropic/claude-sonnet-4.6': BUDGET_NONE_LOW_TO_HIGH_MAX, 'anthropic/claude-sonnet-5': BUDGET_NONE_LOW_TO_MAX, 'anthropic/claude-sonnet-5.5': EFFORT_LOW_TO_MAX, - 'bytedance/seed-1.6': EFFORT_OFF_HIGH, - 'bytedance/seed-1.8': EFFORT_NONE_MINIMAL_TO_HIGH, 'bytedance/seed-2.1-turbo': EFFORT_NONE_LOW_TO_HIGH, 'deepseek/deepseek-r1': EFFORT_MINIMAL_TO_HIGH, 'deepseek/deepseek-v3.1': EFFORT_NONE_LOW_TO_HIGH, @@ -4367,7 +4482,6 @@ const VERCEL_GATEWAY_REASONING = { 'moonshotai/kimi-k2.7-code-highspeed': EFFORT_NONE_LOW_TO_HIGH, 'moonshotai/kimi-k3': EFFORT_NONE_LOW_HIGH_MAX, 'moonshotai/kimi-k3-fast': EFFORT_NONE_LOW_TO_HIGH_MAX, - 'nvidia/nemotron-3-nano-30b-a3b': EFFORT_OFF_HIGH, 'nvidia/nemotron-3-super-120b-a12b': EFFORT_NONE_LOW_HIGH, 'nvidia/nemotron-3-ultra-550b-a55b': EFFORT_NONE_MEDIUM_HIGH, 'nvidia/nemotron-3.5-lightning': BUDGET_OFF_HIGH, @@ -4425,7 +4539,6 @@ const VERCEL_GATEWAY_REASONING = { 'openai/o3-mini': EFFORT_LOW_TO_HIGH, 'openai/o3-pro': EFFORT_LOW_TO_HIGH, 'openai/o4-mini': EFFORT_LOW_TO_HIGH, - 'poolside/laguna-s-2.1': EFFORT_OFF_HIGH, 'quiverai/arrow-2': EFFORT_LOW_TO_XHIGH, 'quiverai/arrow-2-telos': EFFORT_LOW_TO_XHIGH, 'sakana/fugu-max': EFFORT_HIGH_XHIGH, diff --git a/scripts/.sync-models-last-run b/scripts/.sync-models-last-run index 3176525d71..ef19409ed2 100644 --- a/scripts/.sync-models-last-run +++ b/scripts/.sync-models-last-run @@ -1 +1 @@ -1793936582 +1794659761 diff --git a/scripts/llmgateway.models.json b/scripts/llmgateway.models.json index 58667ddf78..fd312f425a 100644 --- a/scripts/llmgateway.models.json +++ b/scripts/llmgateway.models.json @@ -404,6 +404,122 @@ "structured_outputs": true, "free": false }, + { + "id": "claude-fable-5-2", + "name": "Claude Fable 5.2", + "display_name": "Claude Fable 5.2", + "created": 1794182400, + "description": "Anthropic's most capable generally available model for demanding reasoning and long-horizon agentic work, at lower per-token prices than Claude Fable 5.1.", + "family": "anthropic", + "architecture": { + "input_modalities": ["text", "image"], + "output_modalities": ["text"], + "tokenizer": "GPT" + }, + "top_provider": { + "is_moderated": true + }, + "providers": [ + { + "providerId": "anthropic", + "externalId": "claude-fable-5-2", + "pricing": { + "prompt": "8.0e-6", + "completion": "40.0e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.2e-6", + "input_cache_write": "10.0e-6", + "input_cache_write_1h": "16.0e-6" + }, + "context_length": 1000000, + "streaming": true, + "vision": true, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "structured_outputs": true, + "reasoning": true, + "reasoning_efforts": ["low", "medium", "high", "xhigh", "max"], + "min_cacheable_tokens": 512, + "max_output": 128000, + "supported_parameters": ["max_tokens", "effort"] + }, + { + "providerId": "aws-bedrock", + "externalId": "anthropic.claude-fable-5-2", + "pricing": { + "prompt": "8.0e-6", + "completion": "40.0e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.2e-6", + "input_cache_write": "10.0e-6", + "input_cache_write_1h": "16.0e-6" + }, + "regions": [ + { + "id": "global", + "pricing": { + "prompt": "8.0e-6", + "completion": "40.0e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.2e-6", + "input_cache_write": "10.0e-6", + "input_cache_write_1h": "16.0e-6" + }, + "context_length": 1000000, + "max_output": 128000, + "streaming": true + }, + { + "id": "us", + "pricing": { + "prompt": "8.8e-6", + "completion": "44e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.22e-6", + "input_cache_write": "11e-6", + "input_cache_write_1h": "17.6e-6" + }, + "context_length": 1000000, + "max_output": 128000, + "streaming": true + } + ], + "context_length": 1000000, + "streaming": true, + "vision": true, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "reasoning": true, + "reasoning_efforts": ["low", "medium", "high", "xhigh", "max"], + "min_cacheable_tokens": 512, + "max_output": 128000, + "supported_parameters": ["max_tokens", "effort"] + } + ], + "pricing": { + "prompt": "8.0e-6", + "completion": "40.0e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.2e-6", + "input_cache_write": "10.0e-6", + "input_cache_write_1h": "16.0e-6", + "web_search": "0", + "internal_reasoning": "0" + }, + "context_length": 1000000, + "max_output": 128000, + "supported_parameters": ["max_tokens", "effort", "reasoning"], + "json_output": false, + "structured_outputs": true, + "free": false + }, { "id": "claude-haiku-4-5", "name": "Claude Haiku 4.5", @@ -2214,7 +2330,7 @@ "min_cacheable_tokens": 1024, "max_output": 64000, "deprecated_at": "2026-10-30T00:00:00.000Z", - "deactivated_at": "2026-11-24T17:00:00.000Z" + "deactivated_at": "2026-11-30T17:00:00.000Z" }, { "providerId": "aws-bedrock", @@ -2414,7 +2530,7 @@ "min_cacheable_tokens": 1024, "max_output": 64000, "deprecated_at": "2026-10-30T00:00:00.000Z", - "deactivated_at": "2026-11-24T17:00:00.000Z" + "deactivated_at": "2026-11-30T17:00:00.000Z" }, { "providerId": "aws-bedrock", @@ -3452,7 +3568,8 @@ "parallelToolCalls": false, "json_output": false, "reasoning": true, - "max_output": 32768 + "max_output": 32768, + "deactivated_at": "2026-11-11T09:00:00.000Z" }, { "providerId": "nebius", @@ -3554,7 +3671,7 @@ "internal_reasoning": "0" }, "context_length": 163840, - "max_output": 32768, + "max_output": 65536, "supported_parameters": [ "temperature", "max_tokens", @@ -3662,31 +3779,58 @@ "json_output": true, "reasoning": true, "max_output": 393216, - "quantization": "fp8" + "quantization": "fp8", + "deactivated_at": "2026-11-17T00:00:00.000Z" }, { "providerId": "alibaba", "externalId": "deepseek-v4-flash-0731", "pricing": { - "prompt": "0.2e-6", - "completion": "0.4e-6", + "prompt": "0.44e-6", + "completion": "1.32e-6", "image": "0", "request": "0", - "input_cache_read": "0.04e-6", + "input_cache_read": "0.044e-6", "input_cache_write": "0", - "input_cache_write_1h": "0" + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "0.44e-6", + "completion": "1.32e-6", + "input_cache_read": "0.044e-6" + }, + "off_peak": { + "prompt": "0.22e-6", + "completion": "0.66e-6", + "input_cache_read": "0.022e-6" + }, + "hours_utc": [[0, 14]] + } }, "regions": [ { "id": "singapore", "pricing": { - "prompt": "0.2e-6", - "completion": "0.4e-6", + "prompt": "0.44e-6", + "completion": "1.32e-6", "image": "0", "request": "0", - "input_cache_read": "0.04e-6", + "input_cache_read": "0.044e-6", "input_cache_write": "0", - "input_cache_write_1h": "0" + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "0.44e-6", + "completion": "1.32e-6", + "input_cache_read": "0.044e-6" + }, + "off_peak": { + "prompt": "0.22e-6", + "completion": "0.66e-6", + "input_cache_read": "0.022e-6" + }, + "hours_utc": [[0, 14]] + } }, "context_length": 1000000, "max_output": 393216, @@ -3695,13 +3839,26 @@ { "id": "eu-frankfurt", "pricing": { - "prompt": "0.2e-6", - "completion": "0.4e-6", + "prompt": "0.424e-6", + "completion": "1.272e-6", "image": "0", "request": "0", - "input_cache_read": "0.04e-6", + "input_cache_read": "0.0424e-6", "input_cache_write": "0", - "input_cache_write_1h": "0" + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "0.424e-6", + "completion": "1.272e-6", + "input_cache_read": "0.0424e-6" + }, + "off_peak": { + "prompt": "0.212e-6", + "completion": "0.636e-6", + "input_cache_read": "0.0212e-6" + }, + "hours_utc": [[0, 14]] + } }, "context_length": 1000000, "max_output": 393216, @@ -3710,13 +3867,26 @@ { "id": "us-virginia", "pricing": { - "prompt": "0.2e-6", - "completion": "0.4e-6", + "prompt": "0.424e-6", + "completion": "1.272e-6", "image": "0", "request": "0", - "input_cache_read": "0.04e-6", + "input_cache_read": "0.0424e-6", "input_cache_write": "0", - "input_cache_write_1h": "0" + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "0.424e-6", + "completion": "1.272e-6", + "input_cache_read": "0.0424e-6" + }, + "off_peak": { + "prompt": "0.212e-6", + "completion": "0.636e-6", + "input_cache_read": "0.0212e-6" + }, + "hours_utc": [[0, 14]] + } }, "context_length": 1000000, "max_output": 393216, @@ -3725,13 +3895,54 @@ { "id": "cn-beijing", "pricing": { - "prompt": "0.138e-6", - "completion": "0.275e-6", + "prompt": "0.424e-6", + "completion": "1.272e-6", "image": "0", "request": "0", - "input_cache_read": "0.028e-6", + "input_cache_read": "0.0424e-6", "input_cache_write": "0", - "input_cache_write_1h": "0" + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "0.424e-6", + "completion": "1.272e-6", + "input_cache_read": "0.0424e-6" + }, + "off_peak": { + "prompt": "0.212e-6", + "completion": "0.636e-6", + "input_cache_read": "0.0212e-6" + }, + "hours_utc": [[0, 14]] + } + }, + "context_length": 1000000, + "max_output": 393216, + "streaming": true + }, + { + "id": "ap-tokyo", + "pricing": { + "prompt": "0.44e-6", + "completion": "1.32e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.044e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "0.44e-6", + "completion": "1.32e-6", + "input_cache_read": "0.044e-6" + }, + "off_peak": { + "prompt": "0.22e-6", + "completion": "0.66e-6", + "input_cache_read": "0.022e-6" + }, + "hours_utc": [[0, 14]] + } }, "context_length": 1000000, "max_output": 393216, @@ -3756,17 +3967,18 @@ "max" ], "reasoning_max_tokens": true, - "max_output": 393216 + "max_output": 393216, + "deactivated_at": "2026-11-17T00:00:00.000Z" }, { "providerId": "deepinfra", - "externalId": "deepseek-ai/DeepSeek-V4-Flash-0731", + "externalId": "deepseek-ai/DeepSeek-V4-Flash", "pricing": { - "prompt": "0.08e-6", + "prompt": "0.09e-6", "completion": "0.18e-6", "image": "0", "request": "0", - "input_cache_read": "0.016e-6", + "input_cache_read": "0.018e-6", "input_cache_write": "0", "input_cache_write_1h": "0" }, @@ -3777,11 +3989,36 @@ "tools": true, "parallelToolCalls": false, "json_output": true, + "structured_outputs": true, "reasoning": true, - "reasoning_efforts": ["none", "low", "high", "max"], + "reasoning_efforts": ["none", "low", "medium", "high", "max"], "max_output": 393216, "quantization": "fp8" }, + { + "providerId": "inference.net", + "externalId": "deepseek-v4-flash", + "pricing": { + "prompt": "0.23e-6", + "completion": "0.62e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.0028e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 1000000, + "streaming": true, + "vision": false, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "supported_tool_choices": ["auto", "none", "required", "function"], + "json_output": true, + "structured_outputs": true, + "reasoning": false, + "max_output": 384000 + }, { "providerId": "bytedance", "externalId": "deepseek-v4-flash-ga-260731", @@ -3811,7 +4048,8 @@ "xhigh", "max" ], - "max_output": 393216 + "max_output": 393216, + "deactivated_at": "2026-11-17T00:00:00.000Z" }, { "providerId": "fireworks", @@ -3902,7 +4140,8 @@ "max" ], "max_output": 393216, - "quantization": "fp4" + "quantization": "fp4", + "deactivated_at": "2026-11-17T00:00:00.000Z" }, { "providerId": "baidu", @@ -3933,7 +4172,8 @@ "xhigh", "max" ], - "max_output": 131072 + "max_output": 131072, + "deactivated_at": "2026-11-17T00:00:00.000Z" }, { "providerId": "tencent", @@ -3983,7 +4223,8 @@ "xhigh", "max" ], - "max_output": 393216 + "max_output": 393216, + "deactivated_at": "2026-11-17T00:00:00.000Z" }, { "providerId": "cloudflare", @@ -4016,35 +4257,8 @@ "xhigh", "max" ], - "max_output": 393216 - }, - { - "providerId": "flexai", - "externalId": "DeepSeek-V4-Flash-0731", - "pricing": { - "prompt": "0.000000119", - "completion": "0.000000238", - "image": "0", - "request": "0", - "input_cache_read": "0.000000004", - "input_cache_write": "0", - "input_cache_write_1h": "0", - "discount": "0.05" - }, - "context_length": 1048576, - "streaming": true, - "vision": false, - "audio": false, - "cancellation": false, - "tools": true, - "parallelToolCalls": false, - "json_output": true, - "structured_outputs": true, - "web_search": false, - "reasoning": true, - "reasoning_efforts": ["low", "high", "medium", "max"], - "reasoning_max_tokens": false, - "stability": "stable" + "max_output": 393216, + "deactivated_at": "2026-11-17T00:00:00.000Z" }, { "providerId": "runware", @@ -4101,6 +4315,34 @@ "reasoning_max_tokens": false, "quantization": "fp8", "stability": "stable" + }, + { + "providerId": "flexai", + "externalId": "DeepSeek-V4-Flash-0731", + "pricing": { + "prompt": "0.000000119", + "completion": "0.000000238", + "image": "0", + "request": "0", + "input_cache_read": "0.000000004", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "discount": "0.05" + }, + "context_length": 1048576, + "streaming": true, + "vision": false, + "audio": false, + "cancellation": false, + "tools": true, + "parallelToolCalls": false, + "json_output": true, + "structured_outputs": true, + "web_search": false, + "reasoning": true, + "reasoning_efforts": ["low", "high", "medium", "max"], + "reasoning_max_tokens": false, + "stability": "stable" } ], "pricing": { @@ -4135,11 +4377,10 @@ }, { "id": "deepseek-v4-flash-0731", - "name": "deepseek-v4-flash-0731", - "display_name": "deepseek-v4-flash-0731", - "aliases": [], - "created": 1793909710, - "description": "DeepSeek-V4-Flash-0731 is the official release of DeepSeek-V4-Flash, superseding the preview version, with substantially enhanced agentic capabilities. It has the same model structure as DeepSeek-V4-Flash-DSpark, i.e. it comes with a speculative decoding module attached.", + "name": "DeepSeek V4 Flash 0731", + "display_name": "DeepSeek V4 Flash 0731", + "created": 1785456000, + "description": "The July 31 snapshot of DeepSeek V4 Flash with extended context and reasoning.", "family": "deepseek", "architecture": { "input_modalities": ["text"], @@ -4150,17 +4391,400 @@ "is_moderated": true }, "providers": [ + { + "providerId": "novita", + "externalId": "deepseek/deepseek-v4-flash-0731", + "pricing": { + "prompt": "0.14e-6", + "completion": "0.28e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.028e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 1050000, + "streaming": true, + "vision": false, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "supported_tool_choices": ["auto", "none"], + "json_output": true, + "reasoning": true, + "max_output": 393216, + "quantization": "fp8" + }, + { + "providerId": "alibaba", + "externalId": "deepseek-v4-flash-0731", + "pricing": { + "prompt": "0.44e-6", + "completion": "1.32e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.044e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "0.44e-6", + "completion": "1.32e-6", + "input_cache_read": "0.044e-6" + }, + "off_peak": { + "prompt": "0.22e-6", + "completion": "0.66e-6", + "input_cache_read": "0.022e-6" + }, + "hours_utc": [[0, 14]] + } + }, + "regions": [ + { + "id": "singapore", + "pricing": { + "prompt": "0.44e-6", + "completion": "1.32e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.044e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "0.44e-6", + "completion": "1.32e-6", + "input_cache_read": "0.044e-6" + }, + "off_peak": { + "prompt": "0.22e-6", + "completion": "0.66e-6", + "input_cache_read": "0.022e-6" + }, + "hours_utc": [[0, 14]] + } + }, + "context_length": 1000000, + "max_output": 393216, + "streaming": true + }, + { + "id": "eu-frankfurt", + "pricing": { + "prompt": "0.424e-6", + "completion": "1.272e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.0424e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "0.424e-6", + "completion": "1.272e-6", + "input_cache_read": "0.0424e-6" + }, + "off_peak": { + "prompt": "0.212e-6", + "completion": "0.636e-6", + "input_cache_read": "0.0212e-6" + }, + "hours_utc": [[0, 14]] + } + }, + "context_length": 1000000, + "max_output": 393216, + "streaming": true + }, + { + "id": "us-virginia", + "pricing": { + "prompt": "0.424e-6", + "completion": "1.272e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.0424e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "0.424e-6", + "completion": "1.272e-6", + "input_cache_read": "0.0424e-6" + }, + "off_peak": { + "prompt": "0.212e-6", + "completion": "0.636e-6", + "input_cache_read": "0.0212e-6" + }, + "hours_utc": [[0, 14]] + } + }, + "context_length": 1000000, + "max_output": 393216, + "streaming": true + }, + { + "id": "cn-beijing", + "pricing": { + "prompt": "0.424e-6", + "completion": "1.272e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.0424e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "0.424e-6", + "completion": "1.272e-6", + "input_cache_read": "0.0424e-6" + }, + "off_peak": { + "prompt": "0.212e-6", + "completion": "0.636e-6", + "input_cache_read": "0.0212e-6" + }, + "hours_utc": [[0, 14]] + } + }, + "context_length": 1000000, + "max_output": 393216, + "streaming": true + }, + { + "id": "ap-tokyo", + "pricing": { + "prompt": "0.44e-6", + "completion": "1.32e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.044e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "0.44e-6", + "completion": "1.32e-6", + "input_cache_read": "0.044e-6" + }, + "off_peak": { + "prompt": "0.22e-6", + "completion": "0.66e-6", + "input_cache_read": "0.022e-6" + }, + "hours_utc": [[0, 14]] + } + }, + "context_length": 1000000, + "max_output": 393216, + "streaming": true + } + ], + "context_length": 1000000, + "streaming": true, + "vision": false, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "json_output": true, + "reasoning": true, + "reasoning_efforts": [ + "none", + "minimal", + "low", + "medium", + "high", + "xhigh", + "max" + ], + "reasoning_max_tokens": true, + "max_output": 393216 + }, + { + "providerId": "deepinfra", + "externalId": "deepseek-ai/DeepSeek-V4-Flash-0731", + "pricing": { + "prompt": "0.08e-6", + "completion": "0.18e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.016e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 1000000, + "streaming": true, + "vision": false, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "json_output": true, + "reasoning": true, + "reasoning_efforts": ["none", "low", "high", "max"], + "max_output": 393216, + "quantization": "fp8" + }, + { + "providerId": "bytedance", + "externalId": "deepseek-v4-flash-ga-260731", + "pricing": { + "prompt": "0.44e-6", + "completion": "1.32e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.014e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 1048576, + "streaming": true, + "vision": false, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "json_output": false, + "reasoning": true, + "reasoning_efforts": [ + "none", + "minimal", + "low", + "medium", + "high", + "xhigh", + "max" + ], + "max_output": 393216 + }, + { + "providerId": "baidu", + "externalId": "deepseek-v4-flash-0731", + "pricing": { + "prompt": "0.44e-6", + "completion": "1.32e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.014e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 1048576, + "streaming": true, + "vision": false, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "json_output": true, + "reasoning": true, + "reasoning_efforts": [ + "none", + "minimal", + "low", + "medium", + "high", + "xhigh", + "max" + ], + "max_output": 131072 + }, + { + "providerId": "tencent", + "externalId": "deepseek-v4-flash-202605", + "pricing": { + "prompt": "0.15e-6", + "completion": "0.6e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.003e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "0.3e-6", + "completion": "1.2e-6", + "input_cache_read": "0.006e-6" + }, + "off_peak": { + "prompt": "0.15e-6", + "completion": "0.6e-6", + "input_cache_read": "0.003e-6" + }, + "hours_utc": [ + [1, 4], + [6, 10] + ], + "off_peak_days_utc": [0, 6] + } + }, + "context_length": 1000000, + "streaming": true, + "vision": false, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "supported_tool_choices": ["auto", "none"], + "json_output": true, + "structured_outputs": false, + "reasoning": true, + "reasoning_efforts": [ + "none", + "minimal", + "low", + "medium", + "high", + "xhigh", + "max" + ], + "max_output": 393216, + "deactivated_at": "2026-12-09T16:00:00.000Z" + }, + { + "providerId": "cloudflare", + "externalId": "@cf/deepseek-ai/deepseek-v4-flash-0731", + "pricing": { + "prompt": "0.44e-6", + "completion": "1.32e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.014e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 1048576, + "streaming": true, + "vision": false, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "supported_tool_choices": ["auto", "none", "required", "function"], + "json_output": true, + "structured_outputs": true, + "reasoning": true, + "reasoning_efforts": [ + "none", + "minimal", + "low", + "medium", + "high", + "xhigh", + "max" + ], + "max_output": 393216, + "deactivated_at": "2026-11-20T00:00:00.000Z" + }, { "providerId": "canopywave", "externalId": "deepseek/deepseek-v4-flash", "pricing": { - "prompt": "0.00000014", - "completion": "0.00000028", + "prompt": "0.00000044", + "completion": "0.00000132", "image": "0", "request": "0", - "input_cache_read": "0.00000003", + "input_cache_read": "0.00000004", "input_cache_write": "0", - "input_cache_write_1h": "0" + "input_cache_write_1h": "0", + "discount": "0.15" }, "context_length": 1000000, "streaming": true, @@ -4179,17 +4803,18 @@ } ], "pricing": { - "prompt": "0.00000014", - "completion": "0.00000028", + "prompt": "0.08e-6", + "completion": "0.18e-6", "image": "0", "request": "0", - "input_cache_read": "0.00000003", + "input_cache_read": "0.016e-6", "input_cache_write": "0", "input_cache_write_1h": "0", "web_search": "0", "internal_reasoning": "0" }, - "context_length": 1000000, + "context_length": 1050000, + "max_output": 131072, "supported_parameters": [ "temperature", "max_tokens", @@ -4202,10 +4827,8 @@ "reasoning" ], "json_output": true, - "structured_outputs": false, - "free": false, - "image_input_required": false, - "stability": "stable" + "structured_outputs": true, + "free": false }, { "id": "deepseek-v4-pro", @@ -4307,25 +4930,51 @@ "providerId": "alibaba", "externalId": "deepseek-v4-pro-0813", "pricing": { - "prompt": "2.4e-6", - "completion": "4.8e-6", + "prompt": "1.32e-6", + "completion": "3.96e-6", "image": "0", "request": "0", - "input_cache_read": "0.2e-6", + "input_cache_read": "0.132e-6", "input_cache_write": "0", - "input_cache_write_1h": "0" + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "1.32e-6", + "completion": "3.96e-6", + "input_cache_read": "0.132e-6" + }, + "off_peak": { + "prompt": "0.66e-6", + "completion": "1.98e-6", + "input_cache_read": "0.066e-6" + }, + "hours_utc": [[0, 14]] + } }, "regions": [ { "id": "singapore", "pricing": { - "prompt": "2.4e-6", - "completion": "4.8e-6", + "prompt": "1.32e-6", + "completion": "3.96e-6", "image": "0", "request": "0", - "input_cache_read": "0.2e-6", + "input_cache_read": "0.132e-6", "input_cache_write": "0", - "input_cache_write_1h": "0" + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "1.32e-6", + "completion": "3.96e-6", + "input_cache_read": "0.132e-6" + }, + "off_peak": { + "prompt": "0.66e-6", + "completion": "1.98e-6", + "input_cache_read": "0.066e-6" + }, + "hours_utc": [[0, 14]] + } }, "context_length": 1000000, "max_output": 393216, @@ -4334,13 +4983,26 @@ { "id": "eu-frankfurt", "pricing": { - "prompt": "2.4e-6", - "completion": "4.8e-6", + "prompt": "1.272e-6", + "completion": "3.816e-6", "image": "0", "request": "0", - "input_cache_read": "0.2e-6", + "input_cache_read": "0.1272e-6", "input_cache_write": "0", - "input_cache_write_1h": "0" + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "1.272e-6", + "completion": "3.816e-6", + "input_cache_read": "0.1272e-6" + }, + "off_peak": { + "prompt": "0.636e-6", + "completion": "1.908e-6", + "input_cache_read": "0.0636e-6" + }, + "hours_utc": [[0, 14]] + } }, "context_length": 1000000, "max_output": 393216, @@ -4349,13 +5011,26 @@ { "id": "us-virginia", "pricing": { - "prompt": "2.4e-6", - "completion": "4.8e-6", + "prompt": "1.272e-6", + "completion": "3.816e-6", "image": "0", "request": "0", - "input_cache_read": "0.2e-6", + "input_cache_read": "0.1272e-6", "input_cache_write": "0", - "input_cache_write_1h": "0" + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "1.272e-6", + "completion": "3.816e-6", + "input_cache_read": "0.1272e-6" + }, + "off_peak": { + "prompt": "0.636e-6", + "completion": "1.908e-6", + "input_cache_read": "0.0636e-6" + }, + "hours_utc": [[0, 14]] + } }, "context_length": 1000000, "max_output": 393216, @@ -4364,13 +5039,54 @@ { "id": "cn-beijing", "pricing": { - "prompt": "1.65e-6", - "completion": "3.301e-6", + "prompt": "1.272e-6", + "completion": "3.816e-6", "image": "0", "request": "0", - "input_cache_read": "0.138e-6", + "input_cache_read": "0.1272e-6", "input_cache_write": "0", - "input_cache_write_1h": "0" + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "1.272e-6", + "completion": "3.816e-6", + "input_cache_read": "0.1272e-6" + }, + "off_peak": { + "prompt": "0.636e-6", + "completion": "1.908e-6", + "input_cache_read": "0.0636e-6" + }, + "hours_utc": [[0, 14]] + } + }, + "context_length": 1000000, + "max_output": 393216, + "streaming": true + }, + { + "id": "ap-tokyo", + "pricing": { + "prompt": "1.272e-6", + "completion": "3.816e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.1272e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "1.272e-6", + "completion": "3.816e-6", + "input_cache_read": "0.1272e-6" + }, + "off_peak": { + "prompt": "0.636e-6", + "completion": "1.908e-6", + "input_cache_read": "0.0636e-6" + }, + "hours_utc": [[0, 14]] + } }, "context_length": 1000000, "max_output": 393216, @@ -4620,7 +5336,8 @@ "xhigh", "max" ], - "max_output": 393216 + "max_output": 393216, + "deactivated_at": "2026-11-20T00:00:00.000Z" }, { "providerId": "runware", @@ -4827,19 +5544,19 @@ "completion": "1.2e-6", "image": "0", "request": "0", - "input_cache_read": "0.03e-6", + "input_cache_read": "0.006e-6", "input_cache_write": "0", "input_cache_write_1h": "0", "peak": { "peak": { "prompt": "0.3e-6", "completion": "1.2e-6", - "input_cache_read": "0.03e-6" + "input_cache_read": "0.006e-6" }, "off_peak": { "prompt": "0.15e-6", "completion": "0.6e-6", - "input_cache_read": "0.015e-6" + "input_cache_read": "0.003e-6" }, "hours_utc": [[0, 14]] } @@ -4852,19 +5569,19 @@ "completion": "1.2e-6", "image": "0", "request": "0", - "input_cache_read": "0.03e-6", + "input_cache_read": "0.006e-6", "input_cache_write": "0", "input_cache_write_1h": "0", "peak": { "peak": { "prompt": "0.3e-6", "completion": "1.2e-6", - "input_cache_read": "0.03e-6" + "input_cache_read": "0.006e-6" }, "off_peak": { "prompt": "0.15e-6", "completion": "0.6e-6", - "input_cache_read": "0.015e-6" + "input_cache_read": "0.003e-6" }, "hours_utc": [[0, 14]] } @@ -4880,19 +5597,19 @@ "completion": "1.131e-6", "image": "0", "request": "0", - "input_cache_read": "0.0283e-6", + "input_cache_read": "0.006e-6", "input_cache_write": "0", "input_cache_write_1h": "0", "peak": { "peak": { "prompt": "0.283e-6", "completion": "1.131e-6", - "input_cache_read": "0.0283e-6" + "input_cache_read": "0.006e-6" }, "off_peak": { "prompt": "0.141e-6", "completion": "0.565e-6", - "input_cache_read": "0.0141e-6" + "input_cache_read": "0.003e-6" }, "hours_utc": [[0, 14]] } @@ -4908,19 +5625,19 @@ "completion": "1.131e-6", "image": "0", "request": "0", - "input_cache_read": "0.0283e-6", + "input_cache_read": "0.006e-6", "input_cache_write": "0", "input_cache_write_1h": "0", "peak": { "peak": { "prompt": "0.283e-6", "completion": "1.131e-6", - "input_cache_read": "0.0283e-6" + "input_cache_read": "0.006e-6" }, "off_peak": { "prompt": "0.141e-6", "completion": "0.565e-6", - "input_cache_read": "0.0141e-6" + "input_cache_read": "0.003e-6" }, "hours_utc": [[0, 14]] } @@ -4936,19 +5653,47 @@ "completion": "1.131e-6", "image": "0", "request": "0", - "input_cache_read": "0.0283e-6", + "input_cache_read": "0.006e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "0.283e-6", + "completion": "1.131e-6", + "input_cache_read": "0.006e-6" + }, + "off_peak": { + "prompt": "0.141e-6", + "completion": "0.565e-6", + "input_cache_read": "0.003e-6" + }, + "hours_utc": [[0, 14]] + } + }, + "context_length": 1000000, + "max_output": 393216, + "streaming": true + }, + { + "id": "ap-tokyo", + "pricing": { + "prompt": "0.283e-6", + "completion": "1.131e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.006e-6", "input_cache_write": "0", "input_cache_write_1h": "0", "peak": { "peak": { "prompt": "0.283e-6", "completion": "1.131e-6", - "input_cache_read": "0.0283e-6" + "input_cache_read": "0.006e-6" }, "off_peak": { "prompt": "0.141e-6", "completion": "0.565e-6", - "input_cache_read": "0.0141e-6" + "input_cache_read": "0.003e-6" }, "hours_utc": [[0, 14]] } @@ -5439,23 +6184,938 @@ "completion": "1.2e-6", "image": "0", "request": "0", - "input_cache_read": "0.03e-6", + "input_cache_read": "0.006e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "0.3e-6", + "completion": "1.2e-6", + "input_cache_read": "0.006e-6" + }, + "off_peak": { + "prompt": "0.15e-6", + "completion": "0.6e-6", + "input_cache_read": "0.003e-6" + }, + "hours_utc": [[0, 14]] + } + }, + "regions": [ + { + "id": "singapore", + "pricing": { + "prompt": "0.3e-6", + "completion": "1.2e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.006e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "0.3e-6", + "completion": "1.2e-6", + "input_cache_read": "0.006e-6" + }, + "off_peak": { + "prompt": "0.15e-6", + "completion": "0.6e-6", + "input_cache_read": "0.003e-6" + }, + "hours_utc": [[0, 14]] + } + }, + "context_length": 1000000, + "max_output": 393216, + "streaming": true + }, + { + "id": "eu-frankfurt", + "pricing": { + "prompt": "0.283e-6", + "completion": "1.131e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.006e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "0.283e-6", + "completion": "1.131e-6", + "input_cache_read": "0.006e-6" + }, + "off_peak": { + "prompt": "0.141e-6", + "completion": "0.565e-6", + "input_cache_read": "0.003e-6" + }, + "hours_utc": [[0, 14]] + } + }, + "context_length": 1000000, + "max_output": 393216, + "streaming": true + }, + { + "id": "us-virginia", + "pricing": { + "prompt": "0.283e-6", + "completion": "1.131e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.006e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "0.283e-6", + "completion": "1.131e-6", + "input_cache_read": "0.006e-6" + }, + "off_peak": { + "prompt": "0.141e-6", + "completion": "0.565e-6", + "input_cache_read": "0.003e-6" + }, + "hours_utc": [[0, 14]] + } + }, + "context_length": 1000000, + "max_output": 393216, + "streaming": true + }, + { + "id": "cn-beijing", + "pricing": { + "prompt": "0.283e-6", + "completion": "1.131e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.006e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "0.283e-6", + "completion": "1.131e-6", + "input_cache_read": "0.006e-6" + }, + "off_peak": { + "prompt": "0.141e-6", + "completion": "0.565e-6", + "input_cache_read": "0.003e-6" + }, + "hours_utc": [[0, 14]] + } + }, + "context_length": 1000000, + "max_output": 393216, + "streaming": true + }, + { + "id": "ap-tokyo", + "pricing": { + "prompt": "0.283e-6", + "completion": "1.131e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.006e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "0.283e-6", + "completion": "1.131e-6", + "input_cache_read": "0.006e-6" + }, + "off_peak": { + "prompt": "0.141e-6", + "completion": "0.565e-6", + "input_cache_read": "0.003e-6" + }, + "hours_utc": [[0, 14]] + } + }, + "context_length": 1000000, + "max_output": 393216, + "streaming": true + } + ], + "context_length": 1000000, + "streaming": true, + "vision": true, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "json_output": true, + "reasoning": true, + "reasoning_efforts": [ + "none", + "minimal", + "low", + "medium", + "high", + "xhigh", + "max" + ], + "reasoning_max_tokens": true, + "max_output": 393216 + }, + { + "providerId": "together-ai", + "externalId": "deepseek-ai/DeepSeek-V4.1-Flash-1017", + "pricing": { + "prompt": "0.3e-6", + "completion": "1.2e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.006e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 1048576, + "streaming": true, + "vision": true, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "json_output": true, + "structured_outputs": true, + "reasoning": true, + "reasoning_efforts": ["none", "low", "high", "xhigh", "max"], + "max_output": 393216, + "max_temperature": 1.5 + }, + { + "providerId": "novita", + "externalId": "deepseek/deepseek-v4.1-flash-1017", + "pricing": { + "prompt": "0.3e-6", + "completion": "1.2e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.006e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 1048576, + "streaming": true, + "vision": true, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "json_output": true, + "structured_outputs": false, + "reasoning": true, + "reasoning_efforts": [ + "none", + "minimal", + "low", + "medium", + "high", + "xhigh", + "max" + ], + "max_output": 393216 + }, + { + "providerId": "inference.net", + "externalId": "deepseek-v4.1-flash-1017", + "pricing": { + "prompt": "0.3e-6", + "completion": "1e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.007e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 262144, + "streaming": true, + "vision": true, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "supported_tool_choices": ["auto", "none", "required", "function"], + "json_output": true, + "structured_outputs": true, + "reasoning": true, + "reasoning_efforts": ["none", "low", "high", "xhigh", "max"], + "max_output": 131072, + "max_temperature": 1.5 + }, + { + "providerId": "deepinfra", + "externalId": "deepseek-ai/DeepSeek-V4.1-Flash-1017", + "pricing": { + "prompt": "0.2e-6", + "completion": "0.6e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.006e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 1048576, + "streaming": true, + "vision": true, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "json_output": true, + "structured_outputs": true, + "reasoning": true, + "reasoning_efforts": [ + "none", + "minimal", + "low", + "medium", + "high", + "xhigh", + "max" + ], + "max_output": 393216, + "quantization": "fp8" + }, + { + "providerId": "baidu", + "externalId": "deepseek-v4.1-flash-1017", + "pricing": { + "prompt": "0.28e-6", + "completion": "1.13e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.006e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 1048576, + "streaming": true, + "vision": true, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "json_output": true, + "structured_outputs": true, + "reasoning": true, + "reasoning_efforts": [ + "none", + "minimal", + "low", + "medium", + "high", + "xhigh", + "max" + ], + "max_output": 393216, + "quantization": "fp8" + }, + { + "providerId": "cloudflare", + "externalId": "@cf/deepseek-ai/deepseek-v4.1-flash-1017", + "pricing": { + "prompt": "0.3e-6", + "completion": "1.2e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.006e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 1048576, + "streaming": true, + "vision": true, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "supported_tool_choices": ["auto", "none", "required", "function"], + "json_output": true, + "structured_outputs": true, + "reasoning": true, + "reasoning_efforts": [ + "none", + "minimal", + "low", + "medium", + "high", + "xhigh", + "max" + ], + "max_output": 393216 + }, + { + "providerId": "scx-ai-gp", + "externalId": "DeepSeek-V4.1-flash-1017", + "pricing": { + "prompt": "0.000000135", + "completion": "0.00000054", + "image": "0", + "request": "0", + "input_cache_read": "0.000000003", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 1050000, + "streaming": true, + "vision": true, + "audio": false, + "cancellation": false, + "tools": true, + "parallelToolCalls": false, + "json_output": true, + "structured_outputs": false, + "web_search": false, + "reasoning": true, + "reasoning_efforts": ["low", "medium", "high", "none"], + "reasoning_max_tokens": false, + "stability": "stable" + }, + { + "providerId": "sciforium", + "externalId": "/deployments/serverless/deepseek-ai/DeepSeek-V4.1-Flash-1017", + "pricing": { + "prompt": "0.00000015", + "completion": "0.0000006", + "image": "0", + "request": "0", + "input_cache_read": "0.000000003", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 1048576, + "streaming": true, + "vision": true, + "audio": false, + "cancellation": false, + "tools": true, + "parallelToolCalls": false, + "json_output": true, + "structured_outputs": true, + "web_search": false, + "reasoning": true, + "reasoning_efforts": ["none", "low", "high", "xhigh", "max"], + "reasoning_max_tokens": false, + "quantization": "fp8", + "stability": "stable" + }, + { + "providerId": "reka-ai", + "externalId": "deepseek41-flash-20261017", + "pricing": { + "prompt": "0.00000015", + "completion": "0.0000006", + "image": "0", + "request": "0", + "input_cache_read": "0.000000003", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 1048576, + "streaming": true, + "vision": true, + "audio": false, + "cancellation": false, + "tools": true, + "parallelToolCalls": false, + "json_output": true, + "structured_outputs": true, + "web_search": false, + "reasoning": true, + "reasoning_efforts": [ + "none", + "minimal", + "low", + "medium", + "high", + "xhigh", + "max" + ], + "reasoning_max_tokens": false, + "max_output": 393216, + "quantization": "fp4", + "stability": "stable" + }, + { + "providerId": "runware", + "externalId": "deepseek-v4.1-flash-1017", + "pricing": { + "prompt": "0.00000015", + "completion": "0.0000006", + "image": "0", + "request": "0", + "input_cache_read": "0.00000001", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 1048576, + "streaming": true, + "vision": true, + "audio": false, + "cancellation": false, + "tools": true, + "parallelToolCalls": false, + "supported_tool_choices": ["auto", "required"], + "json_output": true, + "structured_outputs": true, + "web_search": false, + "reasoning": true, + "reasoning_efforts": ["none", "low", "high", "xhigh", "max"], + "reasoning_max_tokens": false, + "max_output": 1048576, + "stability": "stable" + }, + { + "providerId": "flexai", + "externalId": "DeepSeek-V4.1-Flash-1017", + "pricing": { + "prompt": "0.00000015", + "completion": "0.0000006", + "image": "0", + "request": "0", + "input_cache_read": "0.000000004", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "discount": "0.05" + }, + "context_length": 1048576, + "streaming": true, + "vision": true, + "audio": false, + "cancellation": false, + "tools": true, + "parallelToolCalls": false, + "json_output": true, + "structured_outputs": true, + "web_search": false, + "reasoning": true, + "reasoning_efforts": ["medium", "high", "max", "low"], + "reasoning_max_tokens": false, + "quantization": "fp8", + "stability": "stable" + }, + { + "providerId": "entrim", + "externalId": "deepseek-v4.1-flash-1017", + "pricing": { + "prompt": "0.0000002", + "completion": "0.0000008", + "image": "0", + "request": "0", + "input_cache_read": "0.000000005", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "discount": "0.31" + }, + "context_length": 1048576, + "streaming": true, + "vision": true, + "audio": false, + "cancellation": false, + "tools": true, + "parallelToolCalls": false, + "json_output": true, + "structured_outputs": true, + "web_search": false, + "reasoning": true, + "reasoning_efforts": ["low", "high", "medium", "xhigh", "max"], + "reasoning_max_tokens": false, + "quantization": "fp8", + "stability": "stable" + } + ], + "pricing": { + "prompt": "0.000000135", + "completion": "0.00000054", + "image": "0", + "request": "0", + "input_cache_read": "0.000000003", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "context_length": 1050000, + "max_output": 131072, + "supported_parameters": [ + "temperature", + "max_tokens", + "top_p", + "frequency_penalty", + "presence_penalty", + "stop", + "stream", + "response_format", + "tools", + "tool_choice", + "reasoning_effort", + "reasoning" + ], + "json_output": true, + "structured_outputs": true, + "free": false + }, + { + "id": "deepseek-v4.1-flash-cyber", + "name": "DeepSeek V4.1 Flash Cyber", + "display_name": "DeepSeek V4.1 Flash Cyber", + "created": 1793232000, + "description": "Abliterated DeepSeek V4.1 Flash 1017 for security tooling and agents, with fewer refusals, vision, tool calling, and a 1M-token context window. Enterprise plan only.", + "family": "deepseek", + "architecture": { + "input_modalities": ["text", "image"], + "output_modalities": ["text"], + "tokenizer": "GPT" + }, + "top_provider": { + "is_moderated": true + }, + "providers": [ + { + "providerId": "inference.net", + "externalId": "deepseek-v4.1-flash-1017-cyber", + "pricing": { + "prompt": "0.3e-6", + "completion": "1e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.007e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 1040000, + "streaming": true, + "vision": true, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "supported_tool_choices": ["auto", "none", "required", "function"], + "json_output": true, + "structured_outputs": true, + "reasoning": true, + "reasoning_efforts": ["none", "low", "high", "xhigh", "max"], + "max_output": 393216, + "max_temperature": 1.5 + } + ], + "pricing": { + "prompt": "0.3e-6", + "completion": "1e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.007e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "context_length": 1040000, + "max_output": 393216, + "supported_parameters": [ + "temperature", + "max_tokens", + "top_p", + "frequency_penalty", + "presence_penalty", + "response_format", + "tools", + "tool_choice", + "reasoning" + ], + "json_output": true, + "structured_outputs": true, + "free": false + }, + { + "id": "deepseek-v4.1-flash-latest", + "name": "deepseek-v4.1-flash-latest", + "display_name": "deepseek-v4.1-flash-latest", + "created": 1792195200, + "description": "DeepSeek's October 2026 update of V4.1 Flash, with native vision, 1M context, and reasoning.", + "family": "deepseek", + "architecture": { + "input_modalities": ["text", "image"], + "output_modalities": ["text"], + "tokenizer": "GPT" + }, + "top_provider": { + "is_moderated": true + }, + "providers": [ + { + "providerId": "tencent", + "externalId": "deepseek/deepseek-flash", + "pricing": { + "prompt": "0.15e-6", + "completion": "0.6e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.003e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "0.3e-6", + "completion": "1.2e-6", + "input_cache_read": "0.006e-6" + }, + "off_peak": { + "prompt": "0.15e-6", + "completion": "0.6e-6", + "input_cache_read": "0.003e-6" + }, + "hours_utc": [ + [1, 4], + [6, 10] + ], + "off_peak_days_utc": [0, 6] + } + }, + "context_length": 1000000, + "streaming": true, + "vision": true, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "supported_tool_choices": ["auto", "none"], + "json_output": true, + "structured_outputs": false, + "reasoning": true, + "reasoning_efforts": [ + "none", + "minimal", + "low", + "medium", + "high", + "xhigh", + "max" + ], + "max_output": 393216 + }, + { + "providerId": "deepseek", + "externalId": "deepseek-flash", + "pricing": { + "prompt": "0.15e-6", + "completion": "0.6e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.003e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "web_search": "0.00075", + "peak": { + "peak": { + "prompt": "0.3e-6", + "completion": "1.2e-6", + "input_cache_read": "0.006e-6" + }, + "off_peak": { + "prompt": "0.15e-6", + "completion": "0.6e-6", + "input_cache_read": "0.003e-6" + }, + "hours_utc": [ + [1, 4], + [6, 10] + ], + "off_peak_days_utc": [0, 6] + } + }, + "context_length": 1050000, + "streaming": true, + "vision": true, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "supported_tool_choices": ["auto", "none"], + "json_output": true, + "web_search": true, + "reasoning": true, + "reasoning_efforts": ["none", "low", "high", "max"], + "max_output": 393216, + "supported_parameters": [ + "temperature", + "max_tokens", + "top_p", + "frequency_penalty", + "presence_penalty", + "stop", + "stream", + "response_format", + "tools", + "tool_choice", + "reasoning_effort" + ] + }, + { + "providerId": "alibaba", + "externalId": "deepseek-v4.1-flash-1017", + "pricing": { + "prompt": "0.3e-6", + "completion": "1.2e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.006e-6", "input_cache_write": "0", "input_cache_write_1h": "0", "peak": { "peak": { "prompt": "0.3e-6", "completion": "1.2e-6", - "input_cache_read": "0.03e-6" + "input_cache_read": "0.006e-6" }, "off_peak": { "prompt": "0.15e-6", "completion": "0.6e-6", - "input_cache_read": "0.015e-6" + "input_cache_read": "0.003e-6" }, "hours_utc": [[0, 14]] } }, + "regions": [ + { + "id": "singapore", + "pricing": { + "prompt": "0.3e-6", + "completion": "1.2e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.006e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "0.3e-6", + "completion": "1.2e-6", + "input_cache_read": "0.006e-6" + }, + "off_peak": { + "prompt": "0.15e-6", + "completion": "0.6e-6", + "input_cache_read": "0.003e-6" + }, + "hours_utc": [[0, 14]] + } + }, + "context_length": 1000000, + "max_output": 393216, + "streaming": true + }, + { + "id": "eu-frankfurt", + "pricing": { + "prompt": "0.283e-6", + "completion": "1.131e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.006e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "0.283e-6", + "completion": "1.131e-6", + "input_cache_read": "0.006e-6" + }, + "off_peak": { + "prompt": "0.141e-6", + "completion": "0.565e-6", + "input_cache_read": "0.003e-6" + }, + "hours_utc": [[0, 14]] + } + }, + "context_length": 1000000, + "max_output": 393216, + "streaming": true + }, + { + "id": "us-virginia", + "pricing": { + "prompt": "0.283e-6", + "completion": "1.131e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.006e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "0.283e-6", + "completion": "1.131e-6", + "input_cache_read": "0.006e-6" + }, + "off_peak": { + "prompt": "0.141e-6", + "completion": "0.565e-6", + "input_cache_read": "0.003e-6" + }, + "hours_utc": [[0, 14]] + } + }, + "context_length": 1000000, + "max_output": 393216, + "streaming": true + }, + { + "id": "cn-beijing", + "pricing": { + "prompt": "0.283e-6", + "completion": "1.131e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.006e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "0.283e-6", + "completion": "1.131e-6", + "input_cache_read": "0.006e-6" + }, + "off_peak": { + "prompt": "0.141e-6", + "completion": "0.565e-6", + "input_cache_read": "0.003e-6" + }, + "hours_utc": [[0, 14]] + } + }, + "context_length": 1000000, + "max_output": 393216, + "streaming": true + }, + { + "id": "ap-tokyo", + "pricing": { + "prompt": "0.283e-6", + "completion": "1.131e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.006e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "peak": { + "peak": { + "prompt": "0.283e-6", + "completion": "1.131e-6", + "input_cache_read": "0.006e-6" + }, + "off_peak": { + "prompt": "0.141e-6", + "completion": "0.565e-6", + "input_cache_read": "0.003e-6" + }, + "hours_utc": [[0, 14]] + } + }, + "context_length": 1000000, + "max_output": 393216, + "streaming": true + } + ], "context_length": 1000000, "streaming": true, "vision": true, @@ -5593,11 +7253,44 @@ "quantization": "fp8" }, { - "providerId": "baidu", - "externalId": "deepseek-v4.1-flash-1017", + "providerId": "baidu", + "externalId": "deepseek-v4.1-flash-1017", + "pricing": { + "prompt": "0.28e-6", + "completion": "1.13e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.006e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 1048576, + "streaming": true, + "vision": true, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "json_output": true, + "structured_outputs": true, + "reasoning": true, + "reasoning_efforts": [ + "none", + "minimal", + "low", + "medium", + "high", + "xhigh", + "max" + ], + "max_output": 393216, + "quantization": "fp8" + }, + { + "providerId": "cloudflare", + "externalId": "@cf/deepseek-ai/deepseek-v4.1-flash-1017", "pricing": { - "prompt": "0.28e-6", - "completion": "1.13e-6", + "prompt": "0.3e-6", + "completion": "1.2e-6", "image": "0", "request": "0", "input_cache_read": "0.006e-6", @@ -5610,6 +7303,7 @@ "cancellation": true, "tools": true, "parallelToolCalls": false, + "supported_tool_choices": ["auto", "none", "required", "function"], "json_output": true, "structured_outputs": true, "reasoning": true, @@ -5622,41 +7316,62 @@ "xhigh", "max" ], - "max_output": 393216, - "quantization": "fp8" + "max_output": 393216 }, { - "providerId": "cloudflare", - "externalId": "@cf/deepseek-ai/deepseek-v4.1-flash-1017", + "providerId": "scx-ai-gp", + "externalId": "DeepSeek-V4.1-flash-1017", "pricing": { - "prompt": "0.3e-6", - "completion": "1.2e-6", + "prompt": "0.000000135", + "completion": "0.00000054", "image": "0", "request": "0", - "input_cache_read": "0.006e-6", + "input_cache_read": "0.000000003", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 1050000, + "streaming": true, + "vision": true, + "audio": false, + "cancellation": false, + "tools": true, + "parallelToolCalls": false, + "json_output": true, + "structured_outputs": false, + "web_search": false, + "reasoning": true, + "reasoning_efforts": ["low", "medium", "high", "none"], + "reasoning_max_tokens": false, + "stability": "stable" + }, + { + "providerId": "sciforium", + "externalId": "/deployments/serverless/deepseek-ai/DeepSeek-V4.1-Flash-1017", + "pricing": { + "prompt": "0.00000015", + "completion": "0.0000006", + "image": "0", + "request": "0", + "input_cache_read": "0.000000003", "input_cache_write": "0", "input_cache_write_1h": "0" }, "context_length": 1048576, "streaming": true, "vision": true, - "cancellation": true, + "audio": false, + "cancellation": false, "tools": true, "parallelToolCalls": false, - "supported_tool_choices": ["auto", "none", "required", "function"], "json_output": true, "structured_outputs": true, + "web_search": false, "reasoning": true, - "reasoning_efforts": [ - "none", - "minimal", - "low", - "medium", - "high", - "xhigh", - "max" - ], - "max_output": 393216 + "reasoning_efforts": ["none", "low", "high", "xhigh", "max"], + "reasoning_max_tokens": false, + "quantization": "fp8", + "stability": "stable" }, { "providerId": "reka-ai", @@ -5781,46 +7496,17 @@ "reasoning_max_tokens": false, "quantization": "fp8", "stability": "stable" - }, - { - "providerId": "sciforium", - "externalId": "/deployments/serverless/deepseek-ai/DeepSeek-V4.1-Flash-1017", - "pricing": { - "prompt": "0.00000015", - "completion": "0.0000006", - "image": "0", - "request": "0", - "input_cache_read": "0.000000003", - "input_cache_write": "0", - "input_cache_write_1h": "0" - }, - "context_length": 1048576, - "streaming": true, - "vision": true, - "audio": false, - "cancellation": false, - "tools": true, - "parallelToolCalls": false, - "json_output": true, - "structured_outputs": true, - "web_search": false, - "reasoning": true, - "reasoning_efforts": ["none", "low", "high", "xhigh", "max"], - "reasoning_max_tokens": false, - "quantization": "fp8", - "stability": "stable" } ], "pricing": { - "prompt": "0.0000002", - "completion": "0.0000008", + "prompt": "0.000000135", + "completion": "0.00000054", "image": "0", "request": "0", - "input_cache_read": "0.000000005", + "input_cache_read": "0.000000003", "input_cache_write": "0", "input_cache_write_1h": "0", "web_search": "0", - "discount": "0.31", "internal_reasoning": "0" }, "context_length": 1050000, @@ -5841,14 +7527,16 @@ ], "json_output": true, "structured_outputs": true, - "free": false + "free": false, + "virtual_model_target": "deepseek-v4.1-flash-1017" }, { - "id": "deepseek-v4.1-flash-cyber", - "name": "DeepSeek V4.1 Flash Cyber", - "display_name": "DeepSeek V4.1 Flash Cyber", - "created": 1793232000, - "description": "Abliterated DeepSeek V4.1 Flash 1017 for security tooling and agents, with fewer refusals, vision, tool calling, and a 1M-token context window. Enterprise plan only.", + "id": "deepseek-v4.1-flash-uncensored", + "name": "DeepSeek V4.1 Flash 1017 Uncensored (HeimdaLLM)", + "display_name": "DeepSeek V4.1 Flash 1017 Uncensored (HeimdaLLM)", + "aliases": [], + "created": 1794250025, + "description": "(empty)", "family": "deepseek", "architecture": { "input_modalities": ["text", "image"], @@ -5860,45 +7548,46 @@ }, "providers": [ { - "providerId": "inference.net", - "externalId": "deepseek-v4.1-flash-1017-cyber", + "providerId": "consensusprotocol", + "externalId": "dsv41unc", "pricing": { - "prompt": "0.3e-6", - "completion": "1e-6", + "prompt": "0.00000018", + "completion": "0.00000065", "image": "0", "request": "0", - "input_cache_read": "0.007e-6", + "input_cache_read": "0.000000005", "input_cache_write": "0", "input_cache_write_1h": "0" }, - "context_length": 1040000, + "context_length": 1048576, "streaming": true, "vision": true, - "cancellation": true, + "audio": false, + "cancellation": false, "tools": true, "parallelToolCalls": false, - "supported_tool_choices": ["auto", "none", "required", "function"], "json_output": true, - "structured_outputs": true, + "structured_outputs": false, + "web_search": false, "reasoning": true, - "reasoning_efforts": ["none", "low", "high", "xhigh", "max"], - "max_output": 393216, - "max_temperature": 1.5 + "reasoning_efforts": ["low", "high", "xhigh", "max"], + "reasoning_max_tokens": false, + "quantization": "fp8", + "stability": "stable" } ], "pricing": { - "prompt": "0.3e-6", - "completion": "1e-6", + "prompt": "0.00000018", + "completion": "0.00000065", "image": "0", "request": "0", - "input_cache_read": "0.007e-6", + "input_cache_read": "0.000000005", "input_cache_write": "0", "input_cache_write_1h": "0", "web_search": "0", "internal_reasoning": "0" }, - "context_length": 1040000, - "max_output": 393216, + "context_length": 1048576, "supported_parameters": [ "temperature", "max_tokens", @@ -5911,8 +7600,10 @@ "reasoning" ], "json_output": true, - "structured_outputs": true, - "free": false + "structured_outputs": false, + "free": false, + "image_input_required": false, + "stability": "stable" }, { "id": "devstral-2512", @@ -6330,6 +8021,168 @@ "structured_outputs": false, "free": false }, + { + "id": "flux-2-klein-4b", + "name": "FLUX.2 Klein 4B", + "display_name": "FLUX.2 Klein 4B", + "created": 1768435200, + "description": "Black Forest Labs' fastest FLUX.2 text-to-image model, a 4B-parameter distilled model for sub-second generation.", + "family": "black-forest-labs", + "architecture": { + "input_modalities": ["text"], + "output_modalities": ["image"], + "tokenizer": "GPT" + }, + "top_provider": { + "is_moderated": true + }, + "providers": [ + { + "providerId": "fal-ai", + "externalId": "fal-ai/flux-2/klein/4b", + "pricing": { + "prompt": "0", + "completion": "0", + "image": "0", + "per_image": { + "default": "0.005", + "1024x1024": "0.005", + "1536x1024": "0.0075", + "1024x1536": "0.0075", + "1344x768": "0.004921875", + "768x1344": "0.004921875", + "2048x2048": "0.02" + }, + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "streaming": false, + "vision": false, + "cancellation": false, + "tools": false, + "parallelToolCalls": false, + "json_output": false, + "reasoning": false + } + ], + "pricing": { + "prompt": "0", + "completion": "0", + "image": "0", + "per_image": { + "default": "0.005", + "1024x1024": "0.005", + "1536x1024": "0.0075", + "1024x1536": "0.0075", + "1344x768": "0.004921875", + "768x1344": "0.004921875", + "2048x2048": "0.02" + }, + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "context_length": 0, + "supported_parameters": [ + "temperature", + "max_tokens", + "top_p", + "frequency_penalty", + "presence_penalty", + "response_format", + "tools", + "tool_choice" + ], + "json_output": false, + "structured_outputs": false, + "free": false + }, + { + "id": "flux-3-klein", + "name": "FLUX 3 Klein", + "display_name": "FLUX 3 Klein", + "created": 1791936000, + "description": "Black Forest Labs' compact FLUX 3 text-to-image model with built-in prompt expansion.", + "family": "black-forest-labs", + "architecture": { + "input_modalities": ["text"], + "output_modalities": ["image"], + "tokenizer": "GPT" + }, + "top_provider": { + "is_moderated": true + }, + "providers": [ + { + "providerId": "fal-ai", + "externalId": "blackforestlabs/flux-3/klein/text-to-image", + "pricing": { + "prompt": "0", + "completion": "0", + "image": "0", + "per_image": { + "default": "0.009", + "1024x1024": "0.009", + "1536x1024": "0.011", + "1024x1536": "0.011", + "1344x768": "0.009", + "768x1344": "0.009", + "2048x2048": "0.014" + }, + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "streaming": false, + "vision": false, + "cancellation": false, + "tools": false, + "parallelToolCalls": false, + "json_output": false, + "reasoning": false + } + ], + "pricing": { + "prompt": "0", + "completion": "0", + "image": "0", + "per_image": { + "default": "0.009", + "1024x1024": "0.009", + "1536x1024": "0.011", + "1024x1536": "0.011", + "1344x768": "0.009", + "768x1344": "0.009", + "2048x2048": "0.014" + }, + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "context_length": 0, + "supported_parameters": [ + "temperature", + "max_tokens", + "top_p", + "frequency_penalty", + "presence_penalty", + "response_format", + "tools", + "tool_choice" + ], + "json_output": false, + "structured_outputs": false, + "free": false + }, { "id": "flux-3-max", "name": "FLUX 3 Max", @@ -9169,11 +11022,302 @@ "free": false }, { - "id": "gemini-3.7-flash", - "name": "Gemini 3.7 Flash", - "display_name": "Gemini 3.7 Flash", - "created": 1786579200, - "description": "Gemini 3.7 Flash succeeds 3.6 Flash with stronger coding, document processing, and agentic workflow performance at the same 1M-token context window, with multimodal input and thinking support.", + "id": "gemini-3.7-flash", + "name": "Gemini 3.7 Flash", + "display_name": "Gemini 3.7 Flash", + "created": 1786579200, + "description": "Gemini 3.7 Flash succeeds 3.6 Flash with stronger coding, document processing, and agentic workflow performance at the same 1M-token context window, with multimodal input and thinking support.", + "family": "google", + "architecture": { + "input_modalities": ["text", "image", "audio"], + "output_modalities": ["text"], + "tokenizer": "GPT" + }, + "top_provider": { + "is_moderated": true + }, + "providers": [ + { + "providerId": "google-ai-studio", + "externalId": "gemini-3.7-flash", + "pricing": { + "prompt": "0.75e-6", + "completion": "3.75e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.075e-6", + "input_cache_write": "0.08333e-6", + "input_cache_write_1h": "0", + "web_search": "0.014" + }, + "service_tiers": [ + { + "id": "flex", + "name": "Flex", + "multiplier": 0.5, + "description": "50% lower cost in exchange for variable latency and best-effort availability." + }, + { + "id": "priority", + "name": "Priority", + "multiplier": 1.8, + "description": "Premium low-latency tier prioritized above standard and flex traffic, at an 80% premium." + } + ], + "context_length": 1048576, + "streaming": true, + "vision": true, + "audio": true, + "document": true, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "json_output": true, + "structured_outputs": true, + "web_search": true, + "reasoning": true, + "reasoning_efforts": ["low", "medium", "high"], + "reasoning_max_tokens": true, + "max_output": 65536, + "supported_parameters": [ + "max_tokens", + "response_format", + "tools", + "tool_choice", + "reasoning_effort" + ], + "deactivated_at": "2026-10-17T00:00:00.000Z" + }, + { + "providerId": "google-vertex", + "externalId": "gemini-3.7-flash", + "pricing": { + "prompt": "0.75e-6", + "completion": "3.75e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.075e-6", + "input_cache_write": "0.08333e-6", + "input_cache_write_1h": "0", + "web_search": "0.014" + }, + "service_tiers": [ + { + "id": "flex", + "name": "Flex", + "multiplier": 0.5, + "description": "50% lower cost in exchange for variable latency and best-effort availability. Served on the global endpoint." + }, + { + "id": "priority", + "name": "Priority", + "multiplier": 1.8, + "description": "Premium low-latency tier prioritized above standard and flex traffic, at an 80% premium. Served on the global endpoint." + } + ], + "service_tier_regions": ["global"], + "context_length": 1048576, + "streaming": true, + "vision": true, + "audio": true, + "document": true, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "json_output": true, + "structured_outputs": true, + "web_search": true, + "reasoning": true, + "reasoning_efforts": ["low", "medium", "high"], + "reasoning_max_tokens": true, + "max_output": 65536, + "supported_parameters": [ + "max_tokens", + "response_format", + "tools", + "tool_choice", + "reasoning_effort" + ], + "deactivated_at": "2027-01-28T00:00:00.000Z" + } + ], + "pricing": { + "prompt": "0.75e-6", + "completion": "3.75e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.075e-6", + "input_cache_write": "0.08333e-6", + "input_cache_write_1h": "0", + "web_search": "0.014", + "internal_reasoning": "0" + }, + "context_length": 1048576, + "max_output": 65536, + "supported_parameters": [ + "max_tokens", + "response_format", + "tools", + "tool_choice", + "reasoning_effort", + "reasoning" + ], + "json_output": true, + "structured_outputs": true, + "free": false, + "deactivated_at": "2027-01-28T00:00:00.000Z" + }, + { + "id": "gemini-3.8-flash", + "name": "Gemini 3.8 Flash", + "display_name": "Gemini 3.8 Flash", + "created": 1788307200, + "description": "Gemini 3.8 Flash provides fast, multimodal reasoning for coding and agentic workloads.", + "family": "google", + "architecture": { + "input_modalities": ["text", "image", "audio"], + "output_modalities": ["text"], + "tokenizer": "GPT" + }, + "top_provider": { + "is_moderated": true + }, + "providers": [ + { + "providerId": "google-ai-studio", + "externalId": "gemini-3.8-flash", + "pricing": { + "prompt": "0.75e-6", + "completion": "3.75e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.075e-6", + "input_cache_write": "0.08333e-6", + "input_cache_write_1h": "0", + "web_search": "0.014" + }, + "service_tiers": [ + { + "id": "flex", + "name": "Flex", + "multiplier": 0.5, + "description": "50% lower cost in exchange for variable latency and best-effort availability." + }, + { + "id": "priority", + "name": "Priority", + "multiplier": 1.8, + "description": "Premium low-latency tier prioritized above standard and flex traffic, at an 80% premium." + } + ], + "context_length": 1048576, + "streaming": true, + "vision": true, + "audio": true, + "document": true, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "json_output": true, + "structured_outputs": true, + "web_search": true, + "reasoning": true, + "reasoning_efforts": ["low", "medium", "high"], + "reasoning_max_tokens": true, + "min_cacheable_tokens": 4096, + "max_output": 65536, + "supported_parameters": [ + "max_tokens", + "response_format", + "tools", + "tool_choice", + "reasoning_effort" + ] + }, + { + "providerId": "google-vertex", + "externalId": "gemini-3.8-flash", + "pricing": { + "prompt": "0.75e-6", + "completion": "3.75e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.075e-6", + "input_cache_write": "0.08333e-6", + "input_cache_write_1h": "0", + "web_search": "0.014" + }, + "service_tiers": [ + { + "id": "flex", + "name": "Flex", + "multiplier": 0.5, + "description": "50% lower cost in exchange for variable latency and best-effort availability. Served on the global endpoint." + }, + { + "id": "priority", + "name": "Priority", + "multiplier": 1.8, + "description": "Premium low-latency tier prioritized above standard and flex traffic, at an 80% premium. Served on the global endpoint." + } + ], + "service_tier_regions": ["global"], + "context_length": 1048576, + "streaming": true, + "vision": true, + "audio": true, + "document": true, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "json_output": true, + "structured_outputs": true, + "web_search": true, + "reasoning": true, + "reasoning_efforts": ["low", "medium", "high"], + "reasoning_max_tokens": true, + "min_cacheable_tokens": 4096, + "max_output": 65536, + "supported_parameters": [ + "max_tokens", + "response_format", + "tools", + "tool_choice", + "reasoning_effort" + ] + } + ], + "pricing": { + "prompt": "0.75e-6", + "completion": "3.75e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.075e-6", + "input_cache_write": "0.08333e-6", + "input_cache_write_1h": "0", + "web_search": "0.014", + "internal_reasoning": "0" + }, + "context_length": 1048576, + "max_output": 65536, + "supported_parameters": [ + "max_tokens", + "response_format", + "tools", + "tool_choice", + "reasoning_effort", + "reasoning" + ], + "json_output": true, + "structured_outputs": true, + "free": false + }, + { + "id": "gemini-4-argon", + "name": "Gemini 4 Argon", + "display_name": "Gemini 4 Argon", + "created": 1790726400, + "description": "Gemini 4 Argon is Google's frontier model for long-horizon coding, enterprise knowledge work, and cybersecurity defense, with up to 1M output tokens.", "family": "google", "architecture": { "input_modalities": ["text", "image", "audio"], @@ -9186,16 +11330,17 @@ "providers": [ { "providerId": "google-ai-studio", - "externalId": "gemini-3.7-flash", + "externalId": "gemini-4-argon", "pricing": { - "prompt": "0.75e-6", - "completion": "3.75e-6", + "prompt": "4e-6", + "completion": "20e-6", "image": "0", "request": "0", - "input_cache_read": "0.075e-6", - "input_cache_write": "0.08333e-6", + "input_cache_read": "0.2e-6", + "input_cache_write": "0.375e-6", "input_cache_write_1h": "0", - "web_search": "0.014" + "web_search": "0.014", + "discount": "0.5000" }, "service_tiers": [ { @@ -9223,38 +11368,32 @@ "structured_outputs": true, "web_search": true, "reasoning": true, - "reasoning_efforts": ["low", "medium", "high"], - "reasoning_max_tokens": true, - "max_output": 65536, + "reasoning_efforts": ["high"], + "min_cacheable_tokens": 4096, + "max_output": 1048576, "supported_parameters": [ "max_tokens", "response_format", "tools", "tool_choice", "reasoning_effort" - ], - "deactivated_at": "2026-10-17T00:00:00.000Z" + ] }, { "providerId": "google-vertex", - "externalId": "gemini-3.7-flash", + "externalId": "gemini-4-argon", "pricing": { - "prompt": "0.75e-6", - "completion": "3.75e-6", + "prompt": "4e-6", + "completion": "20e-6", "image": "0", "request": "0", - "input_cache_read": "0.075e-6", - "input_cache_write": "0.08333e-6", + "input_cache_read": "0.2e-6", + "input_cache_write": "0.375e-6", "input_cache_write_1h": "0", - "web_search": "0.014" + "web_search": "0.014", + "discount": "0.5000" }, "service_tiers": [ - { - "id": "flex", - "name": "Flex", - "multiplier": 0.5, - "description": "50% lower cost in exchange for variable latency and best-effort availability. Served on the global endpoint." - }, { "id": "priority", "name": "Priority", @@ -9275,32 +11414,32 @@ "structured_outputs": true, "web_search": true, "reasoning": true, - "reasoning_efforts": ["low", "medium", "high"], - "reasoning_max_tokens": true, - "max_output": 65536, + "reasoning_efforts": ["high"], + "min_cacheable_tokens": 4096, + "max_output": 1048576, "supported_parameters": [ "max_tokens", "response_format", "tools", "tool_choice", "reasoning_effort" - ], - "deactivated_at": "2027-01-28T00:00:00.000Z" + ] } ], "pricing": { - "prompt": "0.75e-6", - "completion": "3.75e-6", + "prompt": "4e-6", + "completion": "20e-6", "image": "0", "request": "0", - "input_cache_read": "0.075e-6", - "input_cache_write": "0.08333e-6", + "input_cache_read": "0.2e-6", + "input_cache_write": "0.375e-6", "input_cache_write_1h": "0", "web_search": "0.014", + "discount": "0.5000", "internal_reasoning": "0" }, "context_length": 1048576, - "max_output": 65536, + "max_output": 1048576, "supported_parameters": [ "max_tokens", "response_format", @@ -9311,15 +11450,14 @@ ], "json_output": true, "structured_outputs": true, - "free": false, - "deactivated_at": "2027-01-28T00:00:00.000Z" + "free": false }, { - "id": "gemini-3.8-flash", - "name": "Gemini 3.8 Flash", - "display_name": "Gemini 3.8 Flash", - "created": 1788307200, - "description": "Gemini 3.8 Flash provides fast, multimodal reasoning for coding and agentic workloads.", + "id": "gemini-4-carbon", + "name": "Gemini 4 Carbon", + "display_name": "Gemini 4 Carbon", + "created": 1794268800, + "description": "Gemini 4 Carbon is Google's most capable reasoning model for complex software engineering, math and science, and autonomous multi-step agents, with up to 1M output tokens.", "family": "google", "architecture": { "input_modalities": ["text", "image", "audio"], @@ -9332,16 +11470,17 @@ "providers": [ { "providerId": "google-ai-studio", - "externalId": "gemini-3.8-flash", + "externalId": "gemini-4-carbon", "pricing": { - "prompt": "0.75e-6", - "completion": "3.75e-6", + "prompt": "4e-6", + "completion": "20e-6", "image": "0", "request": "0", - "input_cache_read": "0.075e-6", - "input_cache_write": "0.08333e-6", + "input_cache_read": "0.2e-6", + "input_cache_write": "0.375e-6", "input_cache_write_1h": "0", - "web_search": "0.014" + "web_search": "0.014", + "discount": "0.5000" }, "service_tiers": [ { @@ -9369,10 +11508,9 @@ "structured_outputs": true, "web_search": true, "reasoning": true, - "reasoning_efforts": ["low", "medium", "high"], - "reasoning_max_tokens": true, + "reasoning_efforts": ["medium", "high"], "min_cacheable_tokens": 4096, - "max_output": 65536, + "max_output": 1048576, "supported_parameters": [ "max_tokens", "response_format", @@ -9383,24 +11521,19 @@ }, { "providerId": "google-vertex", - "externalId": "gemini-3.8-flash", + "externalId": "gemini-4-carbon", "pricing": { - "prompt": "0.75e-6", - "completion": "3.75e-6", + "prompt": "4e-6", + "completion": "20e-6", "image": "0", "request": "0", - "input_cache_read": "0.075e-6", - "input_cache_write": "0.08333e-6", + "input_cache_read": "0.2e-6", + "input_cache_write": "0.375e-6", "input_cache_write_1h": "0", - "web_search": "0.014" + "web_search": "0.014", + "discount": "0.5000" }, "service_tiers": [ - { - "id": "flex", - "name": "Flex", - "multiplier": 0.5, - "description": "50% lower cost in exchange for variable latency and best-effort availability. Served on the global endpoint." - }, { "id": "priority", "name": "Priority", @@ -9421,10 +11554,9 @@ "structured_outputs": true, "web_search": true, "reasoning": true, - "reasoning_efforts": ["low", "medium", "high"], - "reasoning_max_tokens": true, + "reasoning_efforts": ["medium", "high"], "min_cacheable_tokens": 4096, - "max_output": 65536, + "max_output": 1048576, "supported_parameters": [ "max_tokens", "response_format", @@ -9435,18 +11567,19 @@ } ], "pricing": { - "prompt": "0.75e-6", - "completion": "3.75e-6", + "prompt": "4e-6", + "completion": "20e-6", "image": "0", "request": "0", - "input_cache_read": "0.075e-6", - "input_cache_write": "0.08333e-6", + "input_cache_read": "0.2e-6", + "input_cache_write": "0.375e-6", "input_cache_write_1h": "0", "web_search": "0.014", + "discount": "0.5000", "internal_reasoning": "0" }, "context_length": 1048576, - "max_output": 65536, + "max_output": 1048576, "supported_parameters": [ "max_tokens", "response_format", @@ -9460,11 +11593,11 @@ "free": false }, { - "id": "gemini-4-argon", - "name": "Gemini 4 Argon", - "display_name": "Gemini 4 Argon", - "created": 1790726400, - "description": "Gemini 4 Argon is Google's frontier model for long-horizon coding, enterprise knowledge work, and cybersecurity defense, with up to 1M output tokens.", + "id": "gemini-4-hydrogen", + "name": "Gemini 4 Hydrogen", + "display_name": "Gemini 4 Hydrogen", + "created": 1794528000, + "description": "Gemini 4 Hydrogen brings fast, efficient intelligence for everyday coding and agentic workflows, with a 1M-token context window and up to 1M output tokens.", "family": "google", "architecture": { "input_modalities": ["text", "image", "audio"], @@ -9477,17 +11610,16 @@ "providers": [ { "providerId": "google-ai-studio", - "externalId": "gemini-4-argon", + "externalId": "gemini-4-hydrogen", "pricing": { - "prompt": "4e-6", - "completion": "20e-6", + "prompt": "1.5e-6", + "completion": "7.5e-6", "image": "0", "request": "0", - "input_cache_read": "0.2e-6", - "input_cache_write": "0.375e-6", + "input_cache_read": "0.075e-6", + "input_cache_write": "0", "input_cache_write_1h": "0", - "web_search": "0.014", - "discount": "0.5000" + "web_search": "0.014" }, "service_tiers": [ { @@ -9515,9 +11647,9 @@ "structured_outputs": true, "web_search": true, "reasoning": true, - "reasoning_efforts": ["high"], + "reasoning_efforts": ["low", "medium", "high", "xhigh"], "min_cacheable_tokens": 4096, - "max_output": 1048576, + "max_output": 65536, "supported_parameters": [ "max_tokens", "response_format", @@ -9528,17 +11660,16 @@ }, { "providerId": "google-vertex", - "externalId": "gemini-4-argon", + "externalId": "gemini-4-hydrogen", "pricing": { - "prompt": "4e-6", - "completion": "20e-6", + "prompt": "1.5e-6", + "completion": "7.5e-6", "image": "0", "request": "0", - "input_cache_read": "0.2e-6", - "input_cache_write": "0.375e-6", + "input_cache_read": "0.075e-6", + "input_cache_write": "0", "input_cache_write_1h": "0", - "web_search": "0.014", - "discount": "0.5000" + "web_search": "0.014" }, "service_tiers": [ { @@ -9561,9 +11692,9 @@ "structured_outputs": true, "web_search": true, "reasoning": true, - "reasoning_efforts": ["high"], + "reasoning_efforts": ["low", "medium", "high", "xhigh"], "min_cacheable_tokens": 4096, - "max_output": 1048576, + "max_output": 65536, "supported_parameters": [ "max_tokens", "response_format", @@ -9574,19 +11705,18 @@ } ], "pricing": { - "prompt": "4e-6", - "completion": "20e-6", + "prompt": "1.5e-6", + "completion": "7.5e-6", "image": "0", "request": "0", - "input_cache_read": "0.2e-6", - "input_cache_write": "0.375e-6", + "input_cache_read": "0.075e-6", + "input_cache_write": "0", "input_cache_write_1h": "0", "web_search": "0.014", - "discount": "0.5000", "internal_reasoning": "0" }, "context_length": 1048576, - "max_output": 1048576, + "max_output": 65536, "supported_parameters": [ "max_tokens", "response_format", @@ -9935,6 +12065,108 @@ "structured_outputs": false, "free": false }, + { + "id": "gemini-omni-1.2-flash", + "name": "Gemini Omni 1.2 Flash", + "display_name": "Gemini Omni 1.2 Flash", + "created": 1793836800, + "description": "Google Gemini Omni 1.2 Flash video generation and editing with native audio, up to 15 seconds from 360p to 4K.", + "family": "google", + "architecture": { + "input_modalities": ["text"], + "output_modalities": ["video"], + "tokenizer": "GPT" + }, + "top_provider": { + "is_moderated": true + }, + "providers": [ + { + "providerId": "google-ai-studio", + "externalId": "gemini-omni-1.2-flash", + "supportedVideoSizes": [ + "640x360", + "360x640", + "1280x720", + "720x1280", + "1920x1080", + "1080x1920", + "3840x2160", + "2160x3840" + ], + "supportsVideoAudio": true, + "supportsVideoWithoutAudio": false, + "supported_video_durations_seconds": [ + 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 + ], + "supported_video_durations_seconds_image_to_video": [ + 3, 4, 5, 6, 7, 8, 9, 10 + ], + "pricing": { + "prompt": "1.5e-6", + "completion": "9e-6", + "image": "0", + "video_output": "12e-6", + "per_second": { + "360p": "0.023172", + "720p": "0.069504", + "1080p": "0.104256", + "4k": "0.208512" + }, + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 131072, + "streaming": false, + "vision": false, + "cancellation": true, + "tools": false, + "parallelToolCalls": false, + "json_output": false, + "structured_outputs": false, + "reasoning": false, + "max_output": 1 + } + ], + "pricing": { + "prompt": "1.5e-6", + "completion": "9e-6", + "image": "0", + "video_output": "12e-6", + "per_second": { + "360p": "0.023172", + "720p": "0.069504", + "1080p": "0.104256", + "4k": "0.208512" + }, + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "context_length": 131072, + "max_output": 1, + "per_request_limits": { + "max_video_duration_seconds": "15" + }, + "supported_parameters": [ + "temperature", + "max_tokens", + "top_p", + "frequency_penalty", + "presence_penalty", + "response_format", + "tools", + "tool_choice" + ], + "json_output": false, + "structured_outputs": false, + "free": false + }, { "id": "gemini-pro-latest", "name": "Gemini Pro Latest", @@ -10102,7 +12334,8 @@ "reasoning": false, "max_output": 32768, "quantization": "bf16", - "stability": "unstable" + "stability": "unstable", + "deactivated_at": "2026-11-27T16:00:00.000Z" } ], "pricing": { @@ -10193,7 +12426,8 @@ "json_output": true, "reasoning": false, "max_output": 32768, - "quantization": "bf16" + "quantization": "bf16", + "deactivated_at": "2026-11-27T16:00:00.000Z" }, { "providerId": "together-ai", @@ -11237,7 +13471,8 @@ "parallelToolCalls": false, "json_output": false, "reasoning": true, - "max_output": 128000 + "max_output": 128000, + "deactivated_at": "2026-11-11T09:00:00.000Z" }, { "providerId": "together-ai", @@ -12060,6 +14295,180 @@ "reasoning": true, "reasoning_efforts": ["low", "medium", "high", "xhigh", "max"], "max_output": 128000 + }, + { + "providerId": "alibaba", + "externalId": "glm-5.1", + "pricing": { + "prompt": "1.4e-6", + "completion": "4.4e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.26e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "regions": [ + { + "id": "singapore", + "pricing": { + "prompt": "1.4e-6", + "completion": "4.4e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.26e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 202752, + "max_output": 131072, + "streaming": true + }, + { + "id": "eu-frankfurt", + "pricing": { + "prompt": "0.825e-6", + "completion": "3.301e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.165e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "tiers": [ + { + "name": "Up to 32K", + "up_to_tokens": 32000, + "prompt": "0.825e-6", + "completion": "3.301e-6", + "input_cache_read": "0.165e-6" + }, + { + "name": "Over 32K", + "up_to_tokens": null, + "prompt": "1.1e-6", + "completion": "3.851e-6", + "input_cache_read": "0.22e-6" + } + ] + }, + "context_length": 202752, + "max_output": 131072, + "streaming": true + }, + { + "id": "us-virginia", + "pricing": { + "prompt": "0.825e-6", + "completion": "3.301e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.165e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "tiers": [ + { + "name": "Up to 32K", + "up_to_tokens": 32000, + "prompt": "0.825e-6", + "completion": "3.301e-6", + "input_cache_read": "0.165e-6" + }, + { + "name": "Over 32K", + "up_to_tokens": null, + "prompt": "1.1e-6", + "completion": "3.851e-6", + "input_cache_read": "0.22e-6" + } + ] + }, + "context_length": 202752, + "max_output": 131072, + "streaming": true + }, + { + "id": "cn-beijing", + "pricing": { + "prompt": "0.825e-6", + "completion": "3.301e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.165e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "tiers": [ + { + "name": "Up to 32K", + "up_to_tokens": 32000, + "prompt": "0.825e-6", + "completion": "3.301e-6", + "input_cache_read": "0.165e-6" + }, + { + "name": "Over 32K", + "up_to_tokens": null, + "prompt": "1.1e-6", + "completion": "3.851e-6", + "input_cache_read": "0.22e-6" + } + ] + }, + "context_length": 202752, + "max_output": 131072, + "streaming": true + }, + { + "id": "ap-tokyo", + "pricing": { + "prompt": "0.825e-6", + "completion": "3.301e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.165e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "tiers": [ + { + "name": "Up to 32K", + "up_to_tokens": 32000, + "prompt": "0.825e-6", + "completion": "3.301e-6", + "input_cache_read": "0.165e-6" + }, + { + "name": "Over 32K", + "up_to_tokens": null, + "prompt": "1.1e-6", + "completion": "3.851e-6", + "input_cache_read": "0.22e-6" + } + ] + }, + "context_length": 202752, + "max_output": 131072, + "streaming": true + } + ], + "context_length": 202752, + "streaming": true, + "vision": false, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "json_output": true, + "structured_outputs": true, + "reasoning": true, + "reasoning_efforts": [ + "none", + "minimal", + "low", + "medium", + "high", + "xhigh", + "max" + ], + "reasoning_max_tokens": true, + "max_output": 131072 } ], "pricing": { @@ -12087,7 +14496,7 @@ "reasoning" ], "json_output": true, - "structured_outputs": false, + "structured_outputs": true, "free": false }, { @@ -12224,11 +14633,11 @@ { "id": "eu-frankfurt", "pricing": { - "prompt": "1.4e-6", - "completion": "4.4e-6", + "prompt": "1.1e-6", + "completion": "3.851e-6", "image": "0", "request": "0", - "input_cache_read": "0.28e-6", + "input_cache_read": "0.275e-6", "input_cache_write": "0", "input_cache_write_1h": "0" }, @@ -12254,11 +14663,26 @@ { "id": "cn-beijing", "pricing": { - "prompt": "1.4e-6", - "completion": "4.4e-6", + "prompt": "1.1e-6", + "completion": "3.851e-6", "image": "0", "request": "0", - "input_cache_read": "0.28e-6", + "input_cache_read": "0.275e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 1000000, + "max_output": 131072, + "streaming": true + }, + { + "id": "ap-tokyo", + "pricing": { + "prompt": "1.1e-6", + "completion": "3.851e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.275e-6", "input_cache_write": "0", "input_cache_write_1h": "0" }, @@ -12412,7 +14836,8 @@ "request": "0", "input_cache_read": "0.00000026", "input_cache_write": "0", - "input_cache_write_1h": "0" + "input_cache_write_1h": "0", + "discount": "0.4" }, "context_length": 200000, "streaming": true, @@ -12776,6 +15201,36 @@ "max_output": 131072, "streaming": true }, + { + "id": "eu-frankfurt", + "pricing": { + "prompt": "1.131e-6", + "completion": "3.957e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.28275e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 1048576, + "max_output": 131072, + "streaming": true + }, + { + "id": "us-virginia", + "pricing": { + "prompt": "1.4e-6", + "completion": "4.4e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.28e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 1048576, + "max_output": 131072, + "streaming": true + }, { "id": "cn-beijing", "pricing": { @@ -12783,7 +15238,7 @@ "completion": "3.957e-6", "image": "0", "request": "0", - "input_cache_read": "0.2262e-6", + "input_cache_read": "0.28275e-6", "input_cache_write": "0", "input_cache_write_1h": "0" }, @@ -12792,13 +15247,13 @@ "streaming": true }, { - "id": "eu-frankfurt", + "id": "ap-tokyo", "pricing": { "prompt": "1.131e-6", "completion": "3.957e-6", "image": "0", "request": "0", - "input_cache_read": "0.2262e-6", + "input_cache_read": "0.28275e-6", "input_cache_write": "0", "input_cache_write_1h": "0" }, @@ -13433,7 +15888,37 @@ "reasoning": true, "reasoning_efforts": ["low", "high", "max"], "max_output": 131072, - "max_temperature": 1 + "max_temperature": 1, + "deactivated_at": "2026-11-20T00:00:00.000Z" + }, + { + "providerId": "flexai", + "externalId": "GLM-5.3-Flash", + "pricing": { + "prompt": "0.00000008", + "completion": "0.0000005", + "image": "0", + "request": "0", + "input_cache_read": "0.000000012", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "discount": "0.05" + }, + "context_length": 1048576, + "streaming": true, + "vision": true, + "audio": false, + "cancellation": false, + "tools": true, + "parallelToolCalls": false, + "json_output": true, + "structured_outputs": true, + "web_search": false, + "reasoning": true, + "reasoning_efforts": ["medium", "high", "max", "minimal", "low"], + "reasoning_max_tokens": false, + "quantization": "fp8", + "stability": "stable" }, { "providerId": "entrim", @@ -13501,35 +15986,6 @@ "quantization": "fp8", "stability": "stable" }, - { - "providerId": "flexai", - "externalId": "GLM-5.3-Flash", - "pricing": { - "prompt": "0.00000008", - "completion": "0.0000005", - "image": "0", - "request": "0", - "input_cache_read": "0.000000012", - "input_cache_write": "0", - "input_cache_write_1h": "0", - "discount": "0.05" - }, - "context_length": 1048576, - "streaming": true, - "vision": true, - "audio": false, - "cancellation": false, - "tools": true, - "parallelToolCalls": false, - "json_output": true, - "structured_outputs": true, - "web_search": false, - "reasoning": true, - "reasoning_efforts": ["medium", "high", "max", "minimal", "low"], - "reasoning_max_tokens": false, - "quantization": "fp8", - "stability": "stable" - }, { "providerId": "canopywave", "externalId": "zai/glm-5.3-flash", @@ -13553,6 +16009,7 @@ "structured_outputs": false, "web_search": false, "reasoning": true, + "reasoning_efforts": ["none", "low", "high", "xhigh", "max"], "reasoning_max_tokens": false, "quantization": "fp8", "stability": "stable" @@ -14255,7 +16712,7 @@ "reasoning": false, "max_output": 16384, "deprecated_at": "2026-01-09T00:00:00.000Z", - "deactivated_at": "2026-03-31T00:00:00.000Z" + "deactivated_at": "2027-04-14T00:00:00.000Z" } ], "pricing": { @@ -18975,7 +21432,8 @@ "parallelToolCalls": false, "json_output": false, "reasoning": false, - "max_output": 128000 + "max_output": 128000, + "deactivated_at": "2027-02-10T00:00:00.000Z" }, { "providerId": "azure", @@ -19030,7 +21488,8 @@ ], "json_output": false, "structured_outputs": false, - "free": false + "free": false, + "deactivated_at": "2027-10-21T00:00:00.000Z" }, { "id": "gpt-image-2.5-flare", @@ -19528,7 +21987,8 @@ "parallelToolCalls": false, "json_output": false, "reasoning": true, - "max_output": 32000 + "max_output": 32000, + "deactivated_at": "2026-11-11T09:00:00.000Z" }, { "providerId": "nebius", @@ -19628,21 +22088,51 @@ "max_output": 32768, "quantization": "fp8", "stability": "stable" + }, + { + "providerId": "flexai", + "externalId": "gpt-oss-120b", + "pricing": { + "prompt": "0.00000005", + "completion": "0.00000025", + "image": "0", + "request": "0", + "input_cache_read": "0.00000001", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "discount": "0.05" + }, + "context_length": 131072, + "streaming": true, + "vision": false, + "audio": false, + "cancellation": false, + "tools": true, + "parallelToolCalls": false, + "json_output": true, + "structured_outputs": true, + "web_search": false, + "reasoning": true, + "reasoning_efforts": ["low", "medium", "high"], + "reasoning_max_tokens": false, + "quantization": "fp4", + "stability": "stable" } ], "pricing": { - "prompt": "0.1e-6", - "completion": "0.5e-6", + "prompt": "0.00000005", + "completion": "0.00000025", "image": "0", "request": "0", - "input_cache_read": "0.02e-6", + "input_cache_read": "0.00000001", "input_cache_write": "0", "input_cache_write_1h": "0", "web_search": "0", + "discount": "0.05", "internal_reasoning": "0" }, "context_length": 131072, - "max_output": 32000, + "max_output": 32766, "supported_parameters": [ "temperature", "max_tokens", @@ -19653,7 +22143,7 @@ "reasoning" ], "json_output": true, - "structured_outputs": false, + "structured_outputs": true, "free": false }, { @@ -20725,7 +23215,7 @@ "internal_reasoning": "0" }, "context_length": 2000000, - "max_output": 30000, + "max_output": 128000, "supported_parameters": [ "temperature", "max_tokens", @@ -23024,6 +25514,71 @@ "structured_outputs": true, "free": false }, + { + "id": "jev", + "name": "jev", + "display_name": "jev", + "created": 1791936000, + "description": "TypeSafe's System One decision model. Takes a state plus named typed questions and returns calibrated yes/no, choice and score answers with probabilities instead of generated text. Served via the /v1/decisions endpoint and the TypeSafe-compatible /v1/systemone endpoint.", + "family": "typesafe", + "architecture": { + "input_modalities": ["text", "image"], + "output_modalities": ["decision"], + "tokenizer": "GPT" + }, + "top_provider": { + "is_moderated": true + }, + "providers": [ + { + "providerId": "typesafe", + "externalId": "jev-1.14.0", + "pricing": { + "prompt": "0.042e-6", + "completion": "0", + "image": "0", + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 262144, + "streaming": false, + "vision": true, + "cancellation": true, + "tools": false, + "parallelToolCalls": false, + "json_output": false, + "reasoning": false + } + ], + "pricing": { + "prompt": "0.042e-6", + "completion": "0", + "image": "0", + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "context_length": 262144, + "supported_parameters": [ + "temperature", + "max_tokens", + "top_p", + "frequency_penalty", + "presence_penalty", + "response_format", + "tools", + "tool_choice" + ], + "json_output": false, + "structured_outputs": false, + "free": false, + "virtual_model_target": "jev-1.14.0" + }, { "id": "jev-1.13.0", "name": "Jev 1.13", @@ -23153,6 +25708,136 @@ "structured_outputs": false, "free": false }, + { + "id": "jev-latest", + "name": "jev-latest", + "display_name": "jev-latest", + "created": 1791936000, + "description": "TypeSafe's System One decision model. Takes a state plus named typed questions and returns calibrated yes/no, choice and score answers with probabilities instead of generated text. Served via the /v1/decisions endpoint and the TypeSafe-compatible /v1/systemone endpoint.", + "family": "typesafe", + "architecture": { + "input_modalities": ["text", "image"], + "output_modalities": ["decision"], + "tokenizer": "GPT" + }, + "top_provider": { + "is_moderated": true + }, + "providers": [ + { + "providerId": "typesafe", + "externalId": "jev-1.14.0", + "pricing": { + "prompt": "0.042e-6", + "completion": "0", + "image": "0", + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 262144, + "streaming": false, + "vision": true, + "cancellation": true, + "tools": false, + "parallelToolCalls": false, + "json_output": false, + "reasoning": false + } + ], + "pricing": { + "prompt": "0.042e-6", + "completion": "0", + "image": "0", + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "context_length": 262144, + "supported_parameters": [ + "temperature", + "max_tokens", + "top_p", + "frequency_penalty", + "presence_penalty", + "response_format", + "tools", + "tool_choice" + ], + "json_output": false, + "structured_outputs": false, + "free": false, + "virtual_model_target": "jev-1.14.0" + }, + { + "id": "jev-preview", + "name": "jev-preview", + "display_name": "jev-preview", + "created": 1791936000, + "description": "TypeSafe's System One decision model. Takes a state plus named typed questions and returns calibrated yes/no, choice and score answers with probabilities instead of generated text. Served via the /v1/decisions endpoint and the TypeSafe-compatible /v1/systemone endpoint.", + "family": "typesafe", + "architecture": { + "input_modalities": ["text", "image"], + "output_modalities": ["decision"], + "tokenizer": "GPT" + }, + "top_provider": { + "is_moderated": true + }, + "providers": [ + { + "providerId": "typesafe", + "externalId": "jev-1.14.0", + "pricing": { + "prompt": "0.042e-6", + "completion": "0", + "image": "0", + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 262144, + "streaming": false, + "vision": true, + "cancellation": true, + "tools": false, + "parallelToolCalls": false, + "json_output": false, + "reasoning": false + } + ], + "pricing": { + "prompt": "0.042e-6", + "completion": "0", + "image": "0", + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "context_length": 262144, + "supported_parameters": [ + "temperature", + "max_tokens", + "top_p", + "frequency_penalty", + "presence_penalty", + "response_format", + "tools", + "tool_choice" + ], + "json_output": false, + "structured_outputs": false, + "free": false, + "virtual_model_target": "jev-1.14.0" + }, { "id": "kimi-k2", "name": "Kimi K2", @@ -23516,6 +26201,21 @@ "context_length": 262144, "max_output": 98304, "streaming": true + }, + { + "id": "ap-tokyo", + "pricing": { + "prompt": "0.574e-6", + "completion": "3.011e-6", + "image": "0", + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 262144, + "max_output": 98304, + "streaming": true } ], "context_length": 262144, @@ -23791,7 +26491,8 @@ "request": "0", "input_cache_read": "0.00000016", "input_cache_write": "0", - "input_cache_write_1h": "0" + "input_cache_write_1h": "0", + "discount": "0.15" }, "context_length": 262144, "streaming": true, @@ -23961,6 +26662,109 @@ ], "max_output": 262144 }, + { + "providerId": "alibaba", + "externalId": "kimi-k2.7-code", + "pricing": { + "prompt": "0.95e-6", + "completion": "4.0e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.19e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "regions": [ + { + "id": "singapore", + "pricing": { + "prompt": "0.95e-6", + "completion": "4.0e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.19e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 262144, + "max_output": 262144, + "streaming": true + }, + { + "id": "eu-frankfurt", + "pricing": { + "prompt": "0.894e-6", + "completion": "3.713e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.1788e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 262144, + "max_output": 262144, + "streaming": true + }, + { + "id": "us-virginia", + "pricing": { + "prompt": "0.894e-6", + "completion": "3.713e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.1788e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 262144, + "max_output": 262144, + "streaming": true + }, + { + "id": "cn-beijing", + "pricing": { + "prompt": "0.894e-6", + "completion": "3.713e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.1788e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 262144, + "max_output": 262144, + "streaming": true + }, + { + "id": "ap-tokyo", + "pricing": { + "prompt": "0.894e-6", + "completion": "3.713e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.1788e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 262144, + "max_output": 262144, + "streaming": true + } + ], + "context_length": 262144, + "streaming": true, + "vision": true, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "supported_tool_choices": ["auto", "none", "function"], + "json_output": true, + "structured_outputs": true, + "reasoning": true, + "reasoning_efforts": ["low", "medium", "high", "xhigh", "max"], + "reasoning_max_tokens": true, + "max_output": 262144 + }, { "providerId": "scx-ai-gp", "externalId": "Kimi-K2.7-Code", @@ -23994,7 +26798,6 @@ ], "reasoning_max_tokens": false, "max_output": 262144, - "quantization": "fp8", "stability": "stable" } ], @@ -24296,6 +27099,21 @@ "context_length": 1048576, "max_output": 1048576, "streaming": true + }, + { + "id": "ap-tokyo", + "pricing": { + "prompt": "2.827e-6", + "completion": "14.133e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.283e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 1048576, + "max_output": 1048576, + "streaming": true } ], "context_length": 1048576, @@ -24845,7 +27663,7 @@ "name": "Kimi K3.1 Pro", "display_name": "Kimi K3.1 Pro", "created": 1792713600, - "description": "Kimi's flagship reasoning model with always-on thinking, vision input, tool calling, and a 1M-token context window.", + "description": "Kimi's flagship reasoning model with vision input, tool calling, and a 1M-token context window.", "family": "moonshot", "architecture": { "input_modalities": ["text", "image"], @@ -24856,6 +27674,38 @@ "is_moderated": true }, "providers": [ + { + "providerId": "inference.net", + "externalId": "moonshotai/kimi-k3.1-pro", + "pricing": { + "prompt": "2.0e-6", + "completion": "10.0e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.2e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 1048576, + "streaming": true, + "vision": true, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "json_output": true, + "structured_outputs": true, + "reasoning": true, + "reasoning_efforts": [ + "none", + "minimal", + "low", + "medium", + "high", + "xhigh", + "max" + ], + "max_output": 1048576 + }, { "providerId": "runpod", "externalId": "kimi-k3.1-pro", @@ -24928,6 +27778,149 @@ "reasoning_effort" ] }, + { + "providerId": "alibaba", + "externalId": "kimi-k3.1-pro", + "pricing": { + "prompt": "2.0e-6", + "completion": "10.0e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.2e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "regions": [ + { + "id": "singapore", + "pricing": { + "prompt": "2.0e-6", + "completion": "10.0e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.2e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 1048576, + "max_output": 1048576, + "streaming": true + }, + { + "id": "eu-frankfurt", + "pricing": { + "prompt": "1.837e-6", + "completion": "9.611e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.1837e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 1048576, + "max_output": 1048576, + "streaming": true + }, + { + "id": "us-virginia", + "pricing": { + "prompt": "2.0e-6", + "completion": "10.0e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.2e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 1048576, + "max_output": 1048576, + "streaming": true + }, + { + "id": "cn-beijing", + "pricing": { + "prompt": "1.837e-6", + "completion": "9.611e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.1837e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 1048576, + "max_output": 1048576, + "streaming": true + }, + { + "id": "ap-tokyo", + "pricing": { + "prompt": "1.837e-6", + "completion": "9.611e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.1837e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 1048576, + "max_output": 1048576, + "streaming": true + } + ], + "context_length": 1048576, + "streaming": true, + "vision": true, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "supported_tool_choices": ["auto", "none", "required", "function"], + "json_output": true, + "structured_outputs": true, + "reasoning": true, + "reasoning_efforts": [ + "none", + "minimal", + "low", + "medium", + "high", + "xhigh", + "max" + ], + "max_output": 1048576, + "supported_parameters": [ + "max_tokens", + "response_format", + "tools", + "tool_choice", + "reasoning_effort" + ] + }, + { + "providerId": "runware", + "externalId": "moonshotai:kimi@k3.1-pro", + "pricing": { + "prompt": "0.000002", + "completion": "0.000010", + "image": "0", + "request": "0", + "input_cache_read": "0.0000002", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 950000, + "streaming": true, + "vision": true, + "audio": false, + "cancellation": false, + "tools": true, + "parallelToolCalls": false, + "json_output": true, + "structured_outputs": false, + "web_search": false, + "reasoning": true, + "reasoning_max_tokens": false, + "stability": "stable" + }, { "providerId": "scx-ai-gp", "externalId": "kimi-k3.1-pro", @@ -25324,6 +28317,114 @@ "free": false, "stability": "beta" }, + { + "id": "kling-v3-0-omni", + "name": "KLING 3.0 Omni", + "display_name": "KLING 3.0 Omni", + "created": 1781913600, + "description": "AtlasCloud KLING 3.0 Omni (Kling Video O3) video generation from 3 to 15 seconds with optional native audio. Routes text, first/last-frame, and reference image/video requests to the matching 720p, 1080p, or 4K upstream model.", + "family": "atlascloud", + "architecture": { + "input_modalities": ["text", "image"], + "output_modalities": ["video"], + "tokenizer": "GPT" + }, + "top_provider": { + "is_moderated": true + }, + "providers": [ + { + "providerId": "atlascloud", + "externalId": "kwaivgi/kling-video-o3", + "supportedVideoSizes": [ + "1280x720", + "720x1280", + "1920x1080", + "1080x1920", + "3840x2160", + "2160x3840" + ], + "supportsVideoAudio": true, + "supportsVideoWithoutAudio": true, + "supported_video_durations_seconds": [ + 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 + ], + "pricing": { + "prompt": "0", + "completion": "0", + "image": "0", + "per_second": { + "default_audio": "0.112", + "default_video": "0.084", + "720p_audio": "0.112", + "720p_video": "0.084", + "1080p_audio": "0.14", + "1080p_video": "0.112", + "720p_video_input": "0.126", + "1080p_video_input": "0.168", + "4k_audio": "0.42", + "4k_video": "0.42" + }, + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 2500, + "streaming": false, + "vision": true, + "cancellation": false, + "tools": false, + "parallelToolCalls": false, + "json_output": false, + "reasoning": false, + "max_output": 1, + "stability": "beta" + } + ], + "pricing": { + "prompt": "0", + "completion": "0", + "image": "0", + "per_second": { + "default_audio": "0.112", + "default_video": "0.084", + "720p_audio": "0.112", + "720p_video": "0.084", + "1080p_audio": "0.14", + "1080p_video": "0.112", + "720p_video_input": "0.126", + "1080p_video_input": "0.168", + "4k_audio": "0.42", + "4k_video": "0.42" + }, + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "context_length": 2500, + "max_output": 1, + "per_request_limits": { + "max_video_duration_seconds": "15" + }, + "supported_parameters": [ + "temperature", + "max_tokens", + "top_p", + "frequency_penalty", + "presence_penalty", + "response_format", + "tools", + "tool_choice" + ], + "json_output": false, + "structured_outputs": false, + "free": false, + "stability": "beta" + }, { "id": "kling-v3-0-pro", "name": "KLING v3.0 Pro", @@ -25940,7 +29041,8 @@ "json_output": false, "reasoning": false, "max_output": 120000, - "quantization": "bf16" + "quantization": "bf16", + "deactivated_at": "2026-11-27T16:00:00.000Z" } ], "pricing": { @@ -25969,7 +29071,8 @@ ], "json_output": false, "structured_outputs": false, - "free": false + "free": false, + "deactivated_at": "2026-11-27T16:00:00.000Z" }, { "id": "llama-4-maverick-17b-instruct", @@ -26190,6 +29293,99 @@ "structured_outputs": false, "free": false }, + { + "id": "luma-ray-3-2", + "name": "Luma Ray 3.2", + "display_name": "Luma Ray 3.2", + "created": 1790812800, + "description": "Luma Ray 3.2 cinematic video generation through AtlasCloud: text-to-video (5 or 10 seconds) and first/last-frame image-to-video (5 seconds) at 540p, 720p, or 1080p, without audio.", + "family": "luma", + "architecture": { + "input_modalities": ["text", "image"], + "output_modalities": ["video"], + "tokenizer": "GPT" + }, + "top_provider": { + "is_moderated": true + }, + "providers": [ + { + "providerId": "atlascloud", + "externalId": "luma/ray-3.2", + "supportedVideoSizes": [ + "960x540", + "540x960", + "1280x720", + "720x1280", + "1920x1080", + "1080x1920" + ], + "supportsVideoAudio": false, + "supportsVideoWithoutAudio": true, + "supported_video_durations_seconds": [5, 10], + "supported_video_durations_seconds_image_to_video": [5], + "pricing": { + "prompt": "0", + "completion": "0", + "image": "0", + "per_second": { + "540p": "0.033", + "720p": "0.066", + "1080p": "0.264" + }, + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 2000, + "streaming": false, + "vision": true, + "cancellation": false, + "tools": false, + "parallelToolCalls": false, + "json_output": false, + "reasoning": false, + "max_output": 1, + "stability": "beta" + } + ], + "pricing": { + "prompt": "0", + "completion": "0", + "image": "0", + "per_second": { + "540p": "0.033", + "720p": "0.066", + "1080p": "0.264" + }, + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "context_length": 2000, + "max_output": 1, + "per_request_limits": { + "max_video_duration_seconds": "10" + }, + "supported_parameters": [ + "temperature", + "max_tokens", + "top_p", + "frequency_penalty", + "presence_penalty", + "response_format", + "tools", + "tool_choice" + ], + "json_output": false, + "structured_outputs": false, + "free": false, + "stability": "beta" + }, { "id": "microsoft-decision-1", "name": "Microsoft-Decision-1", @@ -26355,17 +29551,47 @@ ], "max_output": 65536, "quantization": "fp8" + }, + { + "providerId": "flexai", + "externalId": "MiMo-V2.6-Flash-RL", + "pricing": { + "prompt": "0.00000014", + "completion": "0.00000028", + "image": "0", + "request": "0", + "input_cache_read": "0.0000000028", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "discount": "0.05" + }, + "context_length": 1048576, + "streaming": true, + "vision": true, + "audio": true, + "cancellation": false, + "tools": true, + "parallelToolCalls": false, + "json_output": true, + "structured_outputs": true, + "web_search": false, + "reasoning": true, + "reasoning_efforts": ["low", "medium", "high", "none"], + "reasoning_max_tokens": false, + "quantization": "fp8", + "stability": "stable" } ], "pricing": { - "prompt": "0.14e-6", - "completion": "0.28e-6", + "prompt": "0.00000014", + "completion": "0.00000028", "image": "0", "request": "0", - "input_cache_read": "0.0028e-6", + "input_cache_read": "0.0000000028", "input_cache_write": "0", "input_cache_write_1h": "0", "web_search": "0", + "discount": "0.05", "internal_reasoning": "0" }, "context_length": 1048576, @@ -26516,6 +29742,174 @@ "structured_outputs": true, "free": false }, + { + "id": "minimax-h3", + "name": "MiniMax H3", + "display_name": "MiniMax H3", + "created": 1788825600, + "description": "MiniMax's flagship H3 video model with native synchronized audio, supporting text-to-video and first/last-frame image-to-video from 4 to 15 seconds at 768p or 2K.", + "family": "minimax", + "architecture": { + "input_modalities": ["text", "image"], + "output_modalities": ["video"], + "tokenizer": "GPT" + }, + "top_provider": { + "is_moderated": true + }, + "providers": [ + { + "providerId": "minimax", + "externalId": "MiniMax-H3", + "supportedVideoSizes": [ + "1366x768", + "768x1366", + "2560x1440", + "1440x2560" + ], + "supportsVideoAudio": true, + "supportsVideoWithoutAudio": false, + "supported_video_durations_seconds": [ + 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 + ], + "pricing": { + "prompt": "0", + "completion": "0", + "image": "0", + "per_second": { + "768p": "0.08", + "2k": "0.13" + }, + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 7000, + "streaming": false, + "vision": true, + "cancellation": true, + "tools": false, + "parallelToolCalls": false, + "json_output": false, + "reasoning": false, + "max_output": 1 + } + ], + "pricing": { + "prompt": "0", + "completion": "0", + "image": "0", + "per_second": { + "768p": "0.08", + "2k": "0.13" + }, + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "context_length": 7000, + "max_output": 1, + "per_request_limits": { + "max_video_duration_seconds": "15" + }, + "supported_parameters": [ + "temperature", + "max_tokens", + "top_p", + "frequency_penalty", + "presence_penalty", + "response_format", + "tools", + "tool_choice" + ], + "json_output": false, + "structured_outputs": false, + "free": false + }, + { + "id": "minimax-h3-image", + "name": "MiniMax H3 Image", + "display_name": "MiniMax H3 Image", + "created": 1794268800, + "description": "MiniMax's open-weight image generation and editing model, with built-in prompt enhancement, 1 to 16 reference images, and output up to 4K.", + "family": "minimax", + "architecture": { + "input_modalities": ["text", "image"], + "output_modalities": ["image"], + "tokenizer": "GPT" + }, + "top_provider": { + "is_moderated": true + }, + "providers": [ + { + "providerId": "minimax", + "externalId": "MiniMax-H3-Image", + "pricing": { + "prompt": "2.3e-6", + "completion": "0", + "image": "1.5e-6", + "image_output": "3.8e-6", + "image_output_tokens_by_resolution": { + "1K": 4096, + "2K": 4096, + "4K": 16384, + "default": 16384 + }, + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 32000, + "streaming": false, + "vision": true, + "cancellation": true, + "tools": false, + "parallelToolCalls": false, + "json_output": false, + "reasoning": false, + "max_output": 16384 + } + ], + "pricing": { + "prompt": "2.3e-6", + "completion": "0", + "image": "1.5e-6", + "image_output": "3.8e-6", + "image_output_tokens_by_resolution": { + "1K": 4096, + "2K": 4096, + "4K": 16384, + "default": 16384 + }, + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "context_length": 32000, + "max_output": 16384, + "supported_parameters": [ + "temperature", + "max_tokens", + "top_p", + "frequency_penalty", + "presence_penalty", + "response_format", + "tools", + "tool_choice" + ], + "json_output": false, + "structured_outputs": false, + "free": false + }, { "id": "minimax-h3-max", "name": "MiniMax H3 Max", @@ -27562,32 +30956,6 @@ "reasoning": true, "reasoning_efforts": ["low", "medium", "high", "xhigh", "max"], "max_output": 131072 - }, - { - "providerId": "consensusprotocol", - "externalId": "MiniMax-M3", - "pricing": { - "prompt": "0.00000028", - "completion": "0.0000011", - "image": "0", - "request": "0", - "input_cache_read": "0.00000005", - "input_cache_write": "0", - "input_cache_write_1h": "0" - }, - "context_length": 1048576, - "streaming": true, - "vision": false, - "audio": false, - "cancellation": false, - "tools": true, - "parallelToolCalls": false, - "json_output": true, - "structured_outputs": true, - "web_search": false, - "reasoning": true, - "reasoning_max_tokens": false, - "stability": "stable" } ], "pricing": { @@ -27778,6 +31146,35 @@ "reasoning_efforts": ["none"], "max_output": 1048576 }, + { + "providerId": "flexai", + "externalId": "MiniMax-M3.1-Flash", + "pricing": { + "prompt": "0.00000015", + "completion": "0.0000006", + "image": "0", + "request": "0", + "input_cache_read": "0.000000015", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "discount": "0.05" + }, + "context_length": 1048576, + "streaming": true, + "vision": true, + "audio": false, + "cancellation": false, + "tools": true, + "parallelToolCalls": false, + "json_output": true, + "structured_outputs": true, + "web_search": false, + "reasoning": true, + "reasoning_efforts": ["low", "medium", "high", "minimal", "max"], + "reasoning_max_tokens": false, + "quantization": "fp4", + "stability": "stable" + }, { "providerId": "canopywave", "externalId": "minimax/minimax-m3.1-flash", @@ -27840,7 +31237,7 @@ "reasoning" ], "json_output": true, - "structured_outputs": false, + "structured_outputs": true, "free": false }, { @@ -28558,6 +31955,117 @@ "structured_outputs": true, "free": false }, + { + "id": "muse-ember-1.0", + "name": "Muse Ember 1.0", + "display_name": "Muse Ember 1.0", + "created": 1794268800, + "description": "Meta's efficient execution model for high-volume sub-agent tasks, tool calls, routing, and processing large collections of images, files, and records.", + "family": "meta", + "architecture": { + "input_modalities": ["text", "image"], + "output_modalities": ["text"], + "tokenizer": "GPT" + }, + "top_provider": { + "is_moderated": true + }, + "providers": [ + { + "providerId": "meta", + "externalId": "muse-ember-1.0", + "pricing": { + "prompt": "0.1e-6", + "completion": "0.5e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.004e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "tiers": [ + { + "name": "Up to 200K", + "up_to_tokens": 200000, + "prompt": "0.1e-6", + "completion": "0.5e-6", + "input_cache_read": "0.004e-6" + }, + { + "name": "Over 200K", + "up_to_tokens": null, + "prompt": "0.3e-6", + "completion": "1.5e-6", + "input_cache_read": "0.012e-6" + } + ] + }, + "context_length": 1048576, + "streaming": true, + "vision": true, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "supported_tool_choices": ["auto"], + "json_output": true, + "structured_outputs": true, + "reasoning": true, + "reasoning_efforts": [ + "minimal", + "low", + "medium", + "high", + "xhigh", + "max" + ], + "max_output": 524288, + "max_temperature": 1, + "stability": "beta" + } + ], + "pricing": { + "prompt": "0.1e-6", + "completion": "0.5e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.004e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "web_search": "0", + "tiers": [ + { + "name": "Up to 200K", + "up_to_tokens": 200000, + "prompt": "0.1e-6", + "completion": "0.5e-6", + "input_cache_read": "0.004e-6" + }, + { + "name": "Over 200K", + "up_to_tokens": null, + "prompt": "0.3e-6", + "completion": "1.5e-6", + "input_cache_read": "0.012e-6" + } + ], + "internal_reasoning": "0" + }, + "context_length": 1048576, + "max_output": 524288, + "supported_parameters": [ + "temperature", + "max_tokens", + "top_p", + "frequency_penalty", + "presence_penalty", + "response_format", + "tools", + "tool_choice", + "reasoning" + ], + "json_output": true, + "structured_outputs": true, + "free": false + }, { "id": "muse-glimmer-30b", "name": "Muse Glimmer 30B", @@ -29340,6 +32848,154 @@ "free": false, "deactivated_at": "2026-12-10T00:00:00.000Z" }, + { + "id": "orpheus-arabic-saudi", + "name": "Orpheus Arabic Saudi", + "display_name": "Orpheus Arabic Saudi", + "created": 1765843200, + "description": "Canopy Labs' Orpheus text-to-speech model for authentic Saudi-dialect Arabic speech with six voices. Generates WAV audio via the /v1/audio/speech endpoint; input is limited to 200 characters per request.", + "family": "canopylabs", + "architecture": { + "input_modalities": ["text"], + "output_modalities": ["audio"], + "tokenizer": "GPT" + }, + "top_provider": { + "is_moderated": true + }, + "providers": [ + { + "providerId": "groq", + "externalId": "canopylabs/orpheus-arabic-saudi", + "pricing": { + "prompt": "0", + "completion": "0", + "image": "0", + "input_character": "40e-6", + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 4000, + "streaming": false, + "vision": false, + "cancellation": true, + "tools": false, + "parallelToolCalls": false, + "json_output": false, + "reasoning": false, + "supported_voices": [ + "fahad", + "abdullah", + "sultan", + "lulwa", + "noura", + "aisha" + ] + } + ], + "pricing": { + "prompt": "0", + "completion": "0", + "image": "0", + "input_character": "40e-6", + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "context_length": 4000, + "supported_parameters": [ + "temperature", + "max_tokens", + "top_p", + "frequency_penalty", + "presence_penalty", + "response_format", + "tools", + "tool_choice" + ], + "json_output": false, + "structured_outputs": false, + "free": false + }, + { + "id": "orpheus-v1-english", + "name": "Orpheus V1 English", + "display_name": "Orpheus V1 English", + "created": 1766102400, + "description": "Canopy Labs' expressive English text-to-speech model with six voices and bracketed vocal directions such as [cheerful] or [whisper]. Generates WAV audio via the /v1/audio/speech endpoint; input is limited to 200 characters per request.", + "family": "canopylabs", + "architecture": { + "input_modalities": ["text"], + "output_modalities": ["audio"], + "tokenizer": "GPT" + }, + "top_provider": { + "is_moderated": true + }, + "providers": [ + { + "providerId": "groq", + "externalId": "canopylabs/orpheus-v1-english", + "pricing": { + "prompt": "0", + "completion": "0", + "image": "0", + "input_character": "22e-6", + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 4000, + "streaming": false, + "vision": false, + "cancellation": true, + "tools": false, + "parallelToolCalls": false, + "json_output": false, + "reasoning": false, + "supported_voices": [ + "troy", + "autumn", + "diana", + "hannah", + "austin", + "daniel" + ] + } + ], + "pricing": { + "prompt": "0", + "completion": "0", + "image": "0", + "input_character": "22e-6", + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "context_length": 4000, + "supported_parameters": [ + "temperature", + "max_tokens", + "top_p", + "frequency_penalty", + "presence_penalty", + "response_format", + "tools", + "tool_choice" + ], + "json_output": false, + "structured_outputs": false, + "free": false + }, { "id": "perplexity-search", "name": "Perplexity Search", @@ -29676,32 +33332,41 @@ { "id": "eu-frankfurt", "pricing": { - "prompt": "0.05e-6", - "completion": "0.4e-6", + "prompt": "0.022e-6", + "completion": "0.216e-6", "image": "0", "request": "0", - "input_cache_read": "0.01e-6", - "input_cache_read_explicit": "0.005e-6", - "input_cache_write": "0.0625e-6", + "input_cache_read": "0.0044e-6", + "input_cache_read_explicit": "0.0022e-6", + "input_cache_write": "0.0275e-6", "input_cache_write_1h": "0", "tiers": [ { - "name": "Up to 256K", + "name": "Up to 128K", + "up_to_tokens": 128000, + "prompt": "0.022e-6", + "completion": "0.216e-6", + "input_cache_read": "0.0044e-6", + "input_cache_read_explicit": "0.0022e-6", + "input_cache_write": "0.0275e-6" + }, + { + "name": "128K-256K", "up_to_tokens": 256000, - "prompt": "0.05e-6", - "completion": "0.4e-6", - "input_cache_read": "0.01e-6", - "input_cache_read_explicit": "0.005e-6", - "input_cache_write": "0.0625e-6" + "prompt": "0.087e-6", + "completion": "0.861e-6", + "input_cache_read": "0.017e-6", + "input_cache_read_explicit": "0.0087e-6", + "input_cache_write": "0.10875e-6" }, { - "name": "Over 256K", - "up_to_tokens": null, - "prompt": "0.25e-6", - "completion": "2.0e-6", - "input_cache_read": "0.05e-6", - "input_cache_read_explicit": "0.025e-6", - "input_cache_write": "0.3125e-6" + "name": "256K-1M", + "up_to_tokens": 1000000, + "prompt": "0.173e-6", + "completion": "1.721e-6", + "input_cache_read": "0.035e-6", + "input_cache_read_explicit": "0.0173e-6", + "input_cache_write": "0.21625e-6" } ] }, @@ -30422,6 +34087,42 @@ "context_length": 131072, "max_output": 32000, "streaming": true + }, + { + "id": "cn-hongkong", + "pricing": { + "prompt": "0.4e-6", + "completion": "1.2e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.08e-6", + "input_cache_read_explicit": "0.04e-6", + "input_cache_write": "0.5e-6", + "input_cache_write_1h": "0", + "tiers": [ + { + "name": "Up to 256K", + "up_to_tokens": 256000, + "prompt": "0.4e-6", + "completion": "1.2e-6", + "input_cache_read": "0.08e-6", + "input_cache_read_explicit": "0.04e-6", + "input_cache_write": "0.5e-6" + }, + { + "name": "Over 256K", + "up_to_tokens": null, + "prompt": "1.2e-6", + "completion": "3.6e-6", + "input_cache_read": "0.24e-6", + "input_cache_read_explicit": "0.12e-6", + "input_cache_write": "1.5e-6" + } + ] + }, + "context_length": 131072, + "max_output": 32000, + "streaming": true } ], "context_length": 131072, @@ -31081,50 +34782,50 @@ { "id": "eu-frankfurt", "pricing": { - "prompt": "0.3e-6", - "completion": "1.5e-6", + "prompt": "0.144e-6", + "completion": "0.574e-6", "image": "0", "request": "0", - "input_cache_read": "0.06e-6", - "input_cache_read_explicit": "0.03e-6", - "input_cache_write": "0.375e-6", + "input_cache_read": "0.029e-6", + "input_cache_read_explicit": "0.0144e-6", + "input_cache_write": "0.18e-6", "input_cache_write_1h": "0", "tiers": [ { "name": "Up to 32K", "up_to_tokens": 32000, - "prompt": "0.3e-6", - "completion": "1.5e-6", - "input_cache_read": "0.06e-6", - "input_cache_read_explicit": "0.03e-6", - "input_cache_write": "0.375e-6" + "prompt": "0.144e-6", + "completion": "0.574e-6", + "input_cache_read": "0.029e-6", + "input_cache_read_explicit": "0.0144e-6", + "input_cache_write": "0.18e-6" }, { "name": "32K-128K", "up_to_tokens": 128000, - "prompt": "0.5e-6", - "completion": "2.5e-6", - "input_cache_read": "0.1e-6", - "input_cache_read_explicit": "0.05e-6", - "input_cache_write": "0.625e-6" + "prompt": "0.216e-6", + "completion": "0.861e-6", + "input_cache_read": "0.043e-6", + "input_cache_read_explicit": "0.0216e-6", + "input_cache_write": "0.27e-6" }, { "name": "128K-256K", "up_to_tokens": 256000, - "prompt": "0.8e-6", - "completion": "4.0e-6", - "input_cache_read": "0.16e-6", - "input_cache_read_explicit": "0.08e-6", - "input_cache_write": "1.0e-6" + "prompt": "0.359e-6", + "completion": "1.434e-6", + "input_cache_read": "0.072e-6", + "input_cache_read_explicit": "0.0359e-6", + "input_cache_write": "0.44875e-6" }, { - "name": "Over 256K", - "up_to_tokens": null, - "prompt": "1.6e-6", - "completion": "9.6e-6", - "input_cache_read": "0.32e-6", - "input_cache_read_explicit": "0.16e-6", - "input_cache_write": "2.0e-6" + "name": "256K-1M", + "up_to_tokens": 1000000, + "prompt": "0.717e-6", + "completion": "3.584e-6", + "input_cache_read": "0.143e-6", + "input_cache_read_explicit": "0.0717e-6", + "input_cache_write": "0.89625e-6" } ] }, @@ -32059,6 +35760,51 @@ "context_length": 262144, "max_output": 32768, "streaming": true + }, + { + "id": "cn-hongkong", + "pricing": { + "prompt": "0.2e-6", + "completion": "1.6e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.04e-6", + "input_cache_read_explicit": "0.02e-6", + "input_cache_write": "0.25e-6", + "input_cache_write_1h": "0", + "tiers": [ + { + "name": "Up to 32K", + "up_to_tokens": 32000, + "prompt": "0.2e-6", + "completion": "1.6e-6", + "input_cache_read": "0.04e-6", + "input_cache_read_explicit": "0.02e-6", + "input_cache_write": "0.25e-6" + }, + { + "name": "32K-128K", + "up_to_tokens": 128000, + "prompt": "0.3e-6", + "completion": "2.4e-6", + "input_cache_read": "0.06e-6", + "input_cache_read_explicit": "0.03e-6", + "input_cache_write": "0.375e-6" + }, + { + "name": "128K-256K", + "up_to_tokens": 256000, + "prompt": "0.6e-6", + "completion": "4.8e-6", + "input_cache_read": "0.12e-6", + "input_cache_read_explicit": "0.06e-6", + "input_cache_write": "0.75e-6" + } + ] + }, + "context_length": 262144, + "max_output": 32768, + "streaming": true } ], "context_length": 262144, @@ -32143,6 +35889,93 @@ "context_length": 262144, "max_output": 65536, "streaming": true + }, + { + "id": "eu-frankfurt", + "pricing": { + "prompt": "0.115e-6", + "completion": "0.917e-6", + "image": "0", + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "tiers": [ + { + "name": "Up to 128K", + "up_to_tokens": 128000, + "prompt": "0.115e-6", + "completion": "0.917e-6" + }, + { + "name": "128K-256K", + "up_to_tokens": 256000, + "prompt": "0.287e-6", + "completion": "2.294e-6" + } + ] + }, + "context_length": 262144, + "max_output": 65536, + "streaming": true + }, + { + "id": "us-virginia", + "pricing": { + "prompt": "0.115e-6", + "completion": "0.917e-6", + "image": "0", + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "tiers": [ + { + "name": "Up to 128K", + "up_to_tokens": 128000, + "prompt": "0.115e-6", + "completion": "0.917e-6" + }, + { + "name": "128K-256K", + "up_to_tokens": 256000, + "prompt": "0.287e-6", + "completion": "2.294e-6" + } + ] + }, + "context_length": 262144, + "max_output": 65536, + "streaming": true + }, + { + "id": "cn-beijing", + "pricing": { + "prompt": "0.115e-6", + "completion": "0.917e-6", + "image": "0", + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "tiers": [ + { + "name": "Up to 128K", + "up_to_tokens": 128000, + "prompt": "0.115e-6", + "completion": "0.917e-6" + }, + { + "name": "128K-256K", + "up_to_tokens": 256000, + "prompt": "0.287e-6", + "completion": "2.294e-6" + } + ] + }, + "context_length": 262144, + "max_output": 65536, + "streaming": true } ], "context_length": 262144, @@ -32287,6 +36120,64 @@ "context_length": 262144, "max_output": 65536, "streaming": true + }, + { + "id": "eu-frankfurt", + "pricing": { + "prompt": "0.086e-6", + "completion": "0.688e-6", + "image": "0", + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "tiers": [ + { + "name": "Up to 128K", + "up_to_tokens": 128000, + "prompt": "0.086e-6", + "completion": "0.688e-6" + }, + { + "name": "128K-256K", + "up_to_tokens": 256000, + "prompt": "0.258e-6", + "completion": "2.064e-6" + } + ] + }, + "context_length": 262144, + "max_output": 65536, + "streaming": true + }, + { + "id": "cn-beijing", + "pricing": { + "prompt": "0.086e-6", + "completion": "0.688e-6", + "image": "0", + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "tiers": [ + { + "name": "Up to 128K", + "up_to_tokens": 128000, + "prompt": "0.086e-6", + "completion": "0.688e-6" + }, + { + "name": "128K-256K", + "up_to_tokens": 256000, + "prompt": "0.258e-6", + "completion": "2.064e-6" + } + ] + }, + "context_length": 262144, + "max_output": 65536, + "streaming": true } ], "context_length": 262144, @@ -32396,6 +36287,93 @@ "context_length": 262144, "max_output": 65536, "streaming": true + }, + { + "id": "eu-frankfurt", + "pricing": { + "prompt": "0.057e-6", + "completion": "0.459e-6", + "image": "0", + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "tiers": [ + { + "name": "Up to 128K", + "up_to_tokens": 128000, + "prompt": "0.057e-6", + "completion": "0.459e-6" + }, + { + "name": "128K-256K", + "up_to_tokens": 256000, + "prompt": "0.229e-6", + "completion": "1.835e-6" + } + ] + }, + "context_length": 262144, + "max_output": 65536, + "streaming": true + }, + { + "id": "us-virginia", + "pricing": { + "prompt": "0.057e-6", + "completion": "0.459e-6", + "image": "0", + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "tiers": [ + { + "name": "Up to 128K", + "up_to_tokens": 128000, + "prompt": "0.057e-6", + "completion": "0.459e-6" + }, + { + "name": "128K-256K", + "up_to_tokens": 256000, + "prompt": "0.229e-6", + "completion": "1.835e-6" + } + ] + }, + "context_length": 262144, + "max_output": 65536, + "streaming": true + }, + { + "id": "cn-beijing", + "pricing": { + "prompt": "0.057e-6", + "completion": "0.459e-6", + "image": "0", + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "tiers": [ + { + "name": "Up to 128K", + "up_to_tokens": 128000, + "prompt": "0.057e-6", + "completion": "0.459e-6" + }, + { + "name": "128K-256K", + "up_to_tokens": 256000, + "prompt": "0.229e-6", + "completion": "1.835e-6" + } + ] + }, + "context_length": 262144, + "max_output": 65536, + "streaming": true } ], "context_length": 262144, @@ -32994,6 +36972,42 @@ "context_length": 983616, "max_output": 65536, "streaming": true + }, + { + "id": "ap-tokyo", + "pricing": { + "prompt": "0.165e-6", + "completion": "0.99e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.033e-6", + "input_cache_read_explicit": "0.0165e-6", + "input_cache_write": "0.20625e-6", + "input_cache_write_1h": "0", + "tiers": [ + { + "name": "Up to 256K", + "up_to_tokens": 256000, + "prompt": "0.165e-6", + "completion": "0.99e-6", + "input_cache_read": "0.033e-6", + "input_cache_read_explicit": "0.0165e-6", + "input_cache_write": "0.20625e-6" + }, + { + "name": "Over 256K", + "up_to_tokens": null, + "prompt": "0.66e-6", + "completion": "3.961e-6", + "input_cache_read": "0.132e-6", + "input_cache_read_explicit": "0.066e-6", + "input_cache_write": "0.825e-6" + } + ] + }, + "context_length": 983616, + "max_output": 65536, + "streaming": true } ], "context_length": 983616, @@ -33263,6 +37277,40 @@ "context_length": 983616, "max_output": 65536, "streaming": true + }, + { + "id": "ap-tokyo", + "pricing": { + "prompt": "0.276e-6", + "completion": "1.651e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.0276e-6", + "input_cache_write": "0.345e-6", + "input_cache_write_1h": "0", + "web_search": "0.01", + "tiers": [ + { + "name": "Up to 256K", + "up_to_tokens": 256000, + "prompt": "0.276e-6", + "completion": "1.651e-6", + "input_cache_read": "0.0276e-6", + "input_cache_write": "0.345e-6" + }, + { + "name": "Over 256K", + "up_to_tokens": null, + "prompt": "1.101e-6", + "completion": "6.602e-6", + "input_cache_read": "0.1101e-6", + "input_cache_write": "1.37625e-6" + } + ] + }, + "context_length": 983616, + "max_output": 65536, + "streaming": true } ], "context_length": 983616, @@ -33585,6 +37633,51 @@ "context_length": 983616, "max_output": 65536, "streaming": true + }, + { + "id": "ap-tokyo", + "pricing": { + "prompt": "0.028e-6", + "completion": "0.110e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.0056e-6", + "input_cache_read_explicit": "0.0028e-6", + "input_cache_write": "0.035e-6", + "input_cache_write_1h": "0", + "tiers": [ + { + "name": "Up to 32K", + "up_to_tokens": 32000, + "prompt": "0.028e-6", + "completion": "0.110e-6", + "input_cache_read": "0.0056e-6", + "input_cache_read_explicit": "0.0028e-6", + "input_cache_write": "0.035e-6" + }, + { + "name": "32K-256K", + "up_to_tokens": 256000, + "prompt": "0.083e-6", + "completion": "0.330e-6", + "input_cache_read": "0.0166e-6", + "input_cache_read_explicit": "0.0083e-6", + "input_cache_write": "0.10375e-6" + }, + { + "name": "256K-1M", + "up_to_tokens": 1000000, + "prompt": "0.165e-6", + "completion": "0.660e-6", + "input_cache_read": "0.033e-6", + "input_cache_read_explicit": "0.0165e-6", + "input_cache_write": "0.20625e-6" + } + ] + }, + "context_length": 983616, + "max_output": 65536, + "streaming": true } ], "context_length": 983616, @@ -33778,6 +37871,23 @@ "context_length": 983616, "max_output": 65536, "streaming": true + }, + { + "id": "ap-tokyo", + "pricing": { + "prompt": "1.65e-6", + "completion": "4.951e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.33e-6", + "input_cache_read_explicit": "0.165e-6", + "input_cache_write": "2.0625e-6", + "input_cache_write_1h": "0", + "web_search": "0.01" + }, + "context_length": 983616, + "max_output": 65536, + "streaming": true } ], "context_length": 983616, @@ -34070,6 +38180,42 @@ "context_length": 983616, "max_output": 65536, "streaming": true + }, + { + "id": "ap-tokyo", + "pricing": { + "prompt": "0.276e-6", + "completion": "1.101e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.0552e-6", + "input_cache_read_explicit": "0.0276e-6", + "input_cache_write": "0.345e-6", + "input_cache_write_1h": "0", + "tiers": [ + { + "name": "Up to 256K", + "up_to_tokens": 256000, + "prompt": "0.276e-6", + "completion": "1.101e-6", + "input_cache_read": "0.0552e-6", + "input_cache_read_explicit": "0.0276e-6", + "input_cache_write": "0.345e-6" + }, + { + "name": "Over 256K", + "up_to_tokens": null, + "prompt": "0.826e-6", + "completion": "3.301e-6", + "input_cache_read": "0.1652e-6", + "input_cache_read_explicit": "0.0826e-6", + "input_cache_write": "1.0325e-6" + } + ] + }, + "context_length": 983616, + "max_output": 65536, + "streaming": true } ], "context_length": 983616, @@ -34256,6 +38402,73 @@ "structured_outputs": true, "reasoning": true, "max_output": 131072 + }, + { + "providerId": "alibaba", + "externalId": "qwen3.8-2.4t-a95b", + "pricing": { + "prompt": "2e-6", + "completion": "6e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.25e-6", + "input_cache_read_explicit": "0.17e-6", + "input_cache_write": "2.5e-6", + "input_cache_write_1h": "0" + }, + "regions": [ + { + "id": "singapore", + "pricing": { + "prompt": "2e-6", + "completion": "6e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.25e-6", + "input_cache_read_explicit": "0.17e-6", + "input_cache_write": "2.5e-6", + "input_cache_write_1h": "0" + }, + "context_length": 983616, + "max_output": 131072, + "streaming": true + }, + { + "id": "cn-beijing", + "pricing": { + "prompt": "1.65e-6", + "completion": "4.951e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.206e-6", + "input_cache_read_explicit": "0.137e-6", + "input_cache_write": "2.063e-6", + "input_cache_write_1h": "0" + }, + "context_length": 983616, + "max_output": 131072, + "streaming": true + } + ], + "context_length": 983616, + "streaming": true, + "vision": false, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "supported_tool_choices": ["auto", "none"], + "json_output": true, + "reasoning": true, + "reasoning_efforts": [ + "minimal", + "low", + "medium", + "high", + "xhigh", + "max" + ], + "reasoning_max_tokens": true, + "max_output": 131072 } ], "pricing": { @@ -34363,55 +38576,75 @@ "max_temperature": 1, "quantization": "bf16", "deactivated_at": "2026-09-23T00:00:00.000Z" - } - ], - "pricing": { - "prompt": "0.42e-6", - "completion": "3e-6", - "image": "0", - "request": "0", - "input_cache_read": "0.085e-6", - "input_cache_write": "0", - "input_cache_write_1h": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "context_length": 1000000, - "max_output": 131072, - "supported_parameters": [ - "temperature", - "max_tokens", - "top_p", - "frequency_penalty", - "presence_penalty", - "stop", - "stream", - "tools", - "tool_choice", - "response_format", - "reasoning" - ], - "json_output": true, - "structured_outputs": false, - "free": false - }, - { - "id": "Qwen3.8-27B", - "name": "Qwen3.8 27B", - "display_name": "Qwen3.8 27B", - "aliases": [], - "created": 1788377194, - "description": "", - "family": "Qwen3.8 27B", - "architecture": { - "input_modalities": ["text", "image"], - "output_modalities": ["text"], - "tokenizer": "GPT" - }, - "top_provider": { - "is_moderated": true - }, - "providers": [ + }, + { + "providerId": "alibaba", + "externalId": "qwen3.8-27b", + "pricing": { + "prompt": "0.5e-6", + "completion": "3e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.1e-6", + "input_cache_read_explicit": "0.05e-6", + "input_cache_write": "0.625e-6", + "input_cache_write_1h": "0" + }, + "regions": [ + { + "id": "singapore", + "pricing": { + "prompt": "0.5e-6", + "completion": "3e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.1e-6", + "input_cache_read_explicit": "0.05e-6", + "input_cache_write": "0.625e-6", + "input_cache_write_1h": "0" + }, + "context_length": 983616, + "max_output": 131072, + "streaming": true + }, + { + "id": "cn-beijing", + "pricing": { + "prompt": "0.424e-6", + "completion": "1.696e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.0848e-6", + "input_cache_read_explicit": "0.0424e-6", + "input_cache_write": "0.53e-6", + "input_cache_write_1h": "0" + }, + "context_length": 983616, + "max_output": 131072, + "streaming": true + } + ], + "context_length": 983616, + "streaming": true, + "vision": true, + "cancellation": true, + "tools": true, + "parallelToolCalls": false, + "supported_tool_choices": ["auto", "none", "function"], + "json_output": true, + "reasoning": true, + "reasoning_efforts": [ + "none", + "minimal", + "low", + "medium", + "high", + "xhigh", + "max" + ], + "reasoning_max_tokens": true, + "max_output": 131072 + }, { "providerId": "consensusprotocol", "externalId": "Qwen3.8-27B", @@ -34451,23 +38684,24 @@ "web_search": "0", "internal_reasoning": "0" }, - "context_length": 262000, + "context_length": 1000000, + "max_output": 131072, "supported_parameters": [ "temperature", "max_tokens", "top_p", "frequency_penalty", "presence_penalty", - "response_format", + "stop", + "stream", "tools", "tool_choice", + "response_format", "reasoning" ], - "json_output": false, + "json_output": true, "structured_outputs": false, - "free": false, - "image_input_required": false, - "stability": "stable" + "free": false }, { "id": "qwen3.8-flash", @@ -34516,6 +38750,91 @@ "context_length": 983616, "max_output": 131072, "streaming": true + }, + { + "id": "eu-frankfurt", + "pricing": { + "prompt": "0.15e-6", + "completion": "0.47e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.016e-6", + "input_cache_read_explicit": "0.016e-6", + "input_cache_write": "0.2e-6", + "input_cache_write_1h": "0", + "web_search": "0.01" + }, + "context_length": 983616, + "max_output": 131072, + "streaming": true + }, + { + "id": "us-virginia", + "pricing": { + "prompt": "0.15e-6", + "completion": "0.47e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.016e-6", + "input_cache_read_explicit": "0.016e-6", + "input_cache_write": "0.2e-6", + "input_cache_write_1h": "0", + "web_search": "0.01" + }, + "context_length": 983616, + "max_output": 131072, + "streaming": true + }, + { + "id": "cn-beijing", + "pricing": { + "prompt": "0.113e-6", + "completion": "0.382e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.014e-6", + "input_cache_read_explicit": "0.014e-6", + "input_cache_write": "0.177e-6", + "input_cache_write_1h": "0", + "web_search": "0.01" + }, + "context_length": 983616, + "max_output": 131072, + "streaming": true + }, + { + "id": "cn-hongkong", + "pricing": { + "prompt": "0.15e-6", + "completion": "0.47e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.016e-6", + "input_cache_read_explicit": "0.016e-6", + "input_cache_write": "0.2e-6", + "input_cache_write_1h": "0", + "web_search": "0.01" + }, + "context_length": 983616, + "max_output": 131072, + "streaming": true + }, + { + "id": "ap-tokyo", + "pricing": { + "prompt": "0.113e-6", + "completion": "0.382e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.014e-6", + "input_cache_read_explicit": "0.014e-6", + "input_cache_write": "0.177e-6", + "input_cache_write_1h": "0", + "web_search": "0.01" + }, + "context_length": 983616, + "max_output": 131072, + "streaming": true } ], "context_length": 983616, @@ -34701,13 +39020,13 @@ { "id": "eu-frankfurt", "pricing": { - "prompt": "2e-6", - "completion": "6e-6", + "prompt": "1.65e-6", + "completion": "4.951e-6", "image": "0", "request": "0", - "input_cache_read": "0.25e-6", - "input_cache_read_explicit": "0.17e-6", - "input_cache_write": "2.5e-6", + "input_cache_read": "0.206e-6", + "input_cache_read_explicit": "0.137e-6", + "input_cache_write": "2.063e-6", "input_cache_write_1h": "0", "web_search": "0.01" }, @@ -34735,13 +39054,30 @@ { "id": "cn-beijing", "pricing": { - "prompt": "2e-6", - "completion": "6e-6", + "prompt": "1.65e-6", + "completion": "4.951e-6", "image": "0", "request": "0", - "input_cache_read": "0.25e-6", - "input_cache_read_explicit": "0.17e-6", - "input_cache_write": "2.5e-6", + "input_cache_read": "0.206e-6", + "input_cache_read_explicit": "0.137e-6", + "input_cache_write": "2.063e-6", + "input_cache_write_1h": "0", + "web_search": "0.01" + }, + "context_length": 983616, + "max_output": 131072, + "streaming": true + }, + { + "id": "ap-tokyo", + "pricing": { + "prompt": "1.65e-6", + "completion": "4.951e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.206e-6", + "input_cache_read_explicit": "0.137e-6", + "input_cache_write": "2.063e-6", "input_cache_write_1h": "0", "web_search": "0.01" }, @@ -34927,6 +39263,21 @@ "max_output": 131072, "streaming": true }, + { + "id": "us-virginia", + "pricing": { + "prompt": "0.113e-6", + "completion": "0.382e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.014e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 983616, + "max_output": 131072, + "streaming": true + }, { "id": "cn-beijing", "pricing": { @@ -34941,6 +39292,21 @@ "context_length": 983616, "max_output": 131072, "streaming": true + }, + { + "id": "ap-tokyo", + "pricing": { + "prompt": "0.113e-6", + "completion": "0.382e-6", + "image": "0", + "request": "0", + "input_cache_read": "0.014e-6", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 983616, + "max_output": 131072, + "streaming": true } ], "context_length": 983616, @@ -35056,17 +39422,61 @@ "max_output": 65536, "streaming": true }, + { + "id": "eu-frankfurt", + "pricing": { + "prompt": "0.172e-6", + "completion": "1.032e-6", + "image": "0", + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "web_search": "0.01", + "tiers": [ + { + "name": "Up to 128K", + "up_to_tokens": 128000, + "prompt": "0.172e-6", + "completion": "1.032e-6" + }, + { + "name": "128K-256K", + "up_to_tokens": 256000, + "prompt": "0.43e-6", + "completion": "2.58e-6" + } + ] + }, + "context_length": 262144, + "max_output": 65536, + "streaming": true + }, { "id": "us-virginia", "pricing": { - "prompt": "0.6e-6", - "completion": "3.6e-6", + "prompt": "0.172e-6", + "completion": "1.032e-6", "image": "0", "request": "0", "input_cache_read": "0", "input_cache_write": "0", "input_cache_write_1h": "0", - "web_search": "0.01" + "web_search": "0.01", + "tiers": [ + { + "name": "Up to 128K", + "up_to_tokens": 128000, + "prompt": "0.172e-6", + "completion": "1.032e-6" + }, + { + "name": "128K-256K", + "up_to_tokens": 256000, + "prompt": "0.43e-6", + "completion": "2.58e-6" + } + ] }, "context_length": 262144, "max_output": 65536, @@ -35235,6 +39645,75 @@ "structured_outputs": false, "free": false }, + { + "id": "recraft-v4.1-flash", + "name": "Recraft V4.1 Flash", + "display_name": "Recraft V4.1 Flash", + "created": 1789862400, + "description": "Recraft's fast V4.1 raster image model for photography, illustration, and mixed-media compositions.", + "family": "recraft", + "architecture": { + "input_modalities": ["text"], + "output_modalities": ["image"], + "tokenizer": "GPT" + }, + "top_provider": { + "is_moderated": true + }, + "providers": [ + { + "providerId": "fal-ai", + "externalId": "recraft/v4.1/flash/text-to-image", + "pricing": { + "prompt": "0", + "completion": "0", + "image": "0", + "per_image": { + "default": "0.007" + }, + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "streaming": false, + "vision": false, + "cancellation": false, + "tools": false, + "parallelToolCalls": false, + "json_output": false, + "reasoning": false + } + ], + "pricing": { + "prompt": "0", + "completion": "0", + "image": "0", + "per_image": { + "default": "0.007" + }, + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "context_length": 0, + "supported_parameters": [ + "temperature", + "max_tokens", + "top_p", + "frequency_penalty", + "presence_penalty", + "response_format", + "tools", + "tool_choice" + ], + "json_output": false, + "structured_outputs": false, + "free": false + }, { "id": "reka-edge-2603", "name": "Reka Edge 2603", @@ -35311,147 +39790,15 @@ "stability": "stable" }, { - "id": "seed-1-6-250615", - "name": "Seed 1.6 (250615)", - "display_name": "Seed 1.6 (250615)", - "created": 1750809600, - "description": "ByteDance Seed 1.6 vision model with thinking/non-thinking modes, multimodal inputs, and 256K context window", - "family": "bytedance", - "architecture": { - "input_modalities": ["text", "image"], - "output_modalities": ["text"], - "tokenizer": "GPT" - }, - "top_provider": { - "is_moderated": true - }, - "providers": [ - { - "providerId": "bytedance", - "externalId": "seed-1-6-250615", - "pricing": { - "prompt": "0.25e-6", - "completion": "2e-6", - "image": "0", - "request": "0", - "input_cache_read": "0.05e-6", - "input_cache_write": "0", - "input_cache_write_1h": "0" - }, - "context_length": 256000, - "streaming": true, - "vision": true, - "cancellation": true, - "tools": true, - "parallelToolCalls": false, - "json_output": true, - "reasoning": true, - "reasoning_efforts": ["minimal", "low", "medium", "high"] - } - ], - "pricing": { - "prompt": "0.25e-6", - "completion": "2e-6", - "image": "0", - "request": "0", - "input_cache_read": "0.05e-6", - "input_cache_write": "0", - "input_cache_write_1h": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "context_length": 256000, - "supported_parameters": [ - "temperature", - "max_tokens", - "top_p", - "frequency_penalty", - "presence_penalty", - "response_format", - "tools", - "tool_choice", - "reasoning" - ], - "json_output": true, - "structured_outputs": false, - "free": false - }, - { - "id": "seed-1-6-250915", - "name": "Seed 1.6 (250915)", - "display_name": "Seed 1.6 (250915)", - "created": 1757894400, - "description": "ByteDance Seed 1.6 vision model released September 15, 2025 with thinking/non-thinking modes and multimodal inputs", - "family": "bytedance", - "architecture": { - "input_modalities": ["text", "image"], - "output_modalities": ["text"], - "tokenizer": "GPT" - }, - "top_provider": { - "is_moderated": true - }, - "providers": [ - { - "providerId": "bytedance", - "externalId": "seed-1-6-250915", - "pricing": { - "prompt": "0.25e-6", - "completion": "2e-6", - "image": "0", - "request": "0", - "input_cache_read": "0.05e-6", - "input_cache_write": "0", - "input_cache_write_1h": "0" - }, - "context_length": 256000, - "streaming": true, - "vision": true, - "cancellation": true, - "tools": true, - "parallelToolCalls": false, - "json_output": true, - "reasoning": true, - "reasoning_efforts": ["minimal", "low", "medium", "high"] - } - ], - "pricing": { - "prompt": "0.25e-6", - "completion": "2e-6", - "image": "0", - "request": "0", - "input_cache_read": "0.05e-6", - "input_cache_write": "0", - "input_cache_write_1h": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "context_length": 256000, - "supported_parameters": [ - "temperature", - "max_tokens", - "top_p", - "frequency_penalty", - "presence_penalty", - "response_format", - "tools", - "tool_choice", - "reasoning" - ], - "json_output": true, - "structured_outputs": false, - "free": false - }, - { - "id": "seed-1-6-flash-250715", - "name": "Seed 1.6 Flash (250715)", - "display_name": "Seed 1.6 Flash (250715)", - "created": 1753488000, - "description": "ByteDance Seed 1.6 Flash - faster, cost-effective vision model released July 15, 2025", - "family": "bytedance", + "id": "scribe-v3", + "name": "Scribe v3", + "display_name": "Scribe v3", + "created": 1794268800, + "description": "ElevenLabs' most accurate speech-to-text model for recorded audio, with word-level timestamps and speaker diarization across 90+ languages. Transcribes via the /v1/audio/transcriptions endpoint.", + "family": "elevenlabs", "architecture": { - "input_modalities": ["text", "image"], - "output_modalities": ["text"], + "input_modalities": ["text"], + "output_modalities": ["transcription"], "tokenizer": "GPT" }, "top_provider": { @@ -35459,40 +39806,40 @@ }, "providers": [ { - "providerId": "bytedance", - "externalId": "seed-1-6-flash-250715", + "providerId": "elevenlabs", + "externalId": "scribe_v3", "pricing": { - "prompt": "0.07e-6", - "completion": "0.3e-6", + "prompt": "0", + "completion": "0", "image": "0", "request": "0", - "input_cache_read": "0.015e-6", + "input_cache_read": "0", "input_cache_write": "0", - "input_cache_write_1h": "0" + "input_cache_write_1h": "0", + "input_audio_hour": "0.20" }, - "context_length": 256000, - "streaming": true, - "vision": true, + "streaming": false, + "vision": false, "cancellation": true, - "tools": true, + "tools": false, "parallelToolCalls": false, - "json_output": true, - "reasoning": true, - "reasoning_efforts": ["minimal", "low", "medium", "high"] + "json_output": false, + "reasoning": false } ], "pricing": { - "prompt": "0.07e-6", - "completion": "0.3e-6", + "prompt": "0", + "completion": "0", "image": "0", "request": "0", - "input_cache_read": "0.015e-6", + "input_cache_read": "0", "input_cache_write": "0", "input_cache_write_1h": "0", "web_search": "0", + "input_audio_hour": "0.20", "internal_reasoning": "0" }, - "context_length": 256000, + "context_length": 0, "supported_parameters": [ "temperature", "max_tokens", @@ -35501,22 +39848,21 @@ "presence_penalty", "response_format", "tools", - "tool_choice", - "reasoning" + "tool_choice" ], - "json_output": true, + "json_output": false, "structured_outputs": false, "free": false }, { - "id": "seed-1-8-251228", - "name": "Seed 1.8 (251228)", - "display_name": "Seed 1.8 (251228)", - "created": 1766016000, - "description": "ByteDance Seed 1.8 advanced vision model released December 28, 2025 with enhanced capabilities", - "family": "bytedance", + "id": "scribe-v3-live", + "name": "Scribe v3 Live", + "display_name": "Scribe v3 Live", + "created": 1794268800, + "description": "ElevenLabs' most accurate realtime speech-to-text model, with turn prediction and live diarization across 90+ languages. Served through the gateway's /v1/realtime WebSocket endpoint in ElevenLabs' native realtime protocol, billed per hour of audio sent.", + "family": "elevenlabs", "architecture": { - "input_modalities": ["text", "image"], + "input_modalities": ["text", "audio"], "output_modalities": ["text"], "tokenizer": "GPT" }, @@ -35525,40 +39871,41 @@ }, "providers": [ { - "providerId": "bytedance", - "externalId": "seed-1-8-251228", + "providerId": "elevenlabs", + "externalId": "scribe_v3_live", "pricing": { - "prompt": "0.25e-6", - "completion": "2e-6", + "prompt": "0", + "completion": "0", "image": "0", "request": "0", - "input_cache_read": "0.05e-6", + "input_cache_read": "0", "input_cache_write": "0", - "input_cache_write_1h": "0" + "input_cache_write_1h": "0", + "input_audio_hour": "0.22" }, - "context_length": 256000, - "streaming": true, - "vision": true, + "streaming": false, + "vision": false, + "audio": true, "cancellation": true, - "tools": true, + "tools": false, "parallelToolCalls": false, - "json_output": true, - "reasoning": true, - "reasoning_efforts": ["minimal", "low", "medium", "high"] + "json_output": false, + "reasoning": false } ], "pricing": { - "prompt": "0.25e-6", - "completion": "2e-6", + "prompt": "0", + "completion": "0", "image": "0", "request": "0", - "input_cache_read": "0.05e-6", + "input_cache_read": "0", "input_cache_write": "0", "input_cache_write_1h": "0", "web_search": "0", + "input_audio_hour": "0.22", "internal_reasoning": "0" }, - "context_length": 256000, + "context_length": 0, "supported_parameters": [ "temperature", "max_tokens", @@ -35567,10 +39914,9 @@ "presence_penalty", "response_format", "tools", - "tool_choice", - "reasoning" + "tool_choice" ], - "json_output": true, + "json_output": false, "structured_outputs": false, "free": false }, @@ -35982,97 +40328,6 @@ "structured_outputs": true, "free": false }, - { - "id": "seedance-1-5-pro", - "name": "Seedance 1.5 Pro", - "display_name": "Seedance 1.5 Pro", - "created": 1774224000, - "description": "ByteDance Seedance 1.5 Pro - professional video generation model with complex instruction following and native audio", - "family": "bytedance", - "architecture": { - "input_modalities": ["text"], - "output_modalities": ["video"], - "tokenizer": "GPT" - }, - "top_provider": { - "is_moderated": true - }, - "providers": [ - { - "providerId": "bytedance", - "externalId": "seedance-1-5-pro-251215", - "supportedVideoSizes": [ - "1280x720", - "720x1280", - "1920x1080", - "1080x1920" - ], - "supportsVideoAudio": true, - "supportsVideoWithoutAudio": true, - "supported_video_durations_seconds": [5, 10], - "pricing": { - "prompt": "0", - "completion": "0", - "image": "0", - "video_output": "[object Object]", - "per_second": { - "default_audio": "0.05184", - "default_video": "0.02592", - "1080p_audio": "0.11664", - "1080p_video": "0.05832" - }, - "request": "0", - "input_cache_read": "0", - "input_cache_write": "0", - "input_cache_write_1h": "0" - }, - "context_length": 2000, - "streaming": false, - "vision": false, - "cancellation": true, - "tools": false, - "parallelToolCalls": false, - "json_output": false, - "reasoning": false, - "max_output": 1, - "deactivated_at": "2026-11-11T00:00:00.000Z" - } - ], - "pricing": { - "prompt": "0", - "completion": "0", - "image": "0", - "video_output": "[object Object]", - "per_second": { - "default_audio": "0.05184", - "default_video": "0.02592", - "1080p_audio": "0.11664", - "1080p_video": "0.05832" - }, - "request": "0", - "input_cache_read": "0", - "input_cache_write": "0", - "input_cache_write_1h": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "context_length": 2000, - "max_output": 1, - "supported_parameters": [ - "temperature", - "max_tokens", - "top_p", - "frequency_penalty", - "presence_penalty", - "response_format", - "tools", - "tool_choice" - ], - "json_output": false, - "structured_outputs": false, - "free": false, - "deactivated_at": "2026-11-11T00:00:00.000Z" - }, { "id": "seedance-2-0", "name": "Seedance 2.0", @@ -38128,9 +42383,9 @@ "completion": "0", "image": "0", "per_second": { - "default": "0.08", - "720p": "0.08", - "1080p": "0.12" + "default": "0.1", + "720p": "0.1", + "1080p": "0.15" }, "request": "0", "input_cache_read": "0", @@ -38153,9 +42408,9 @@ "completion": "0", "image": "0", "per_second": { - "default": "0.08", - "720p": "0.08", - "1080p": "0.12" + "default": "0.1", + "720p": "0.1", + "1080p": "0.15" }, "request": "0", "input_cache_read": "0", @@ -38182,5 +42437,420 @@ "json_output": false, "structured_outputs": false, "free": false + }, + { + "id": "wan-2-7-image", + "name": "Wan 2.7 Image", + "display_name": "Wan 2.7 Image", + "created": 1775088000, + "description": "Alibaba's fast Wan 2.7 image model for text-to-image generation up to 2K, image editing, and multi-image reference generation.", + "family": "alibaba", + "architecture": { + "input_modalities": ["text", "image"], + "output_modalities": ["text", "image"], + "tokenizer": "GPT" + }, + "top_provider": { + "is_moderated": true + }, + "providers": [ + { + "providerId": "alibaba", + "externalId": "wan2.7-image", + "pricing": { + "prompt": "0", + "completion": "0", + "image": "0", + "per_image": { + "default": "0.03" + }, + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 5000, + "streaming": false, + "vision": true, + "cancellation": true, + "tools": false, + "parallelToolCalls": false, + "json_output": false, + "reasoning": false, + "max_output": 4096 + } + ], + "pricing": { + "prompt": "0", + "completion": "0", + "image": "0", + "per_image": { + "default": "0.03" + }, + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "context_length": 5000, + "max_output": 4096, + "supported_parameters": [ + "temperature", + "max_tokens", + "top_p", + "frequency_penalty", + "presence_penalty", + "response_format", + "tools", + "tool_choice" + ], + "json_output": false, + "structured_outputs": false, + "free": false + }, + { + "id": "wan-2-7-image-pro", + "name": "Wan 2.7 Image Pro", + "display_name": "Wan 2.7 Image Pro", + "created": 1775088000, + "description": "Alibaba's flagship Wan 2.7 image model for text-to-image generation up to 4K, image editing, and multi-image reference generation with strong text rendering.", + "family": "alibaba", + "architecture": { + "input_modalities": ["text", "image"], + "output_modalities": ["text", "image"], + "tokenizer": "GPT" + }, + "top_provider": { + "is_moderated": true + }, + "providers": [ + { + "providerId": "alibaba", + "externalId": "wan2.7-image-pro", + "pricing": { + "prompt": "0", + "completion": "0", + "image": "0", + "per_image": { + "default": "0.075" + }, + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 5000, + "streaming": false, + "vision": true, + "cancellation": true, + "tools": false, + "parallelToolCalls": false, + "json_output": false, + "reasoning": false, + "max_output": 4096 + } + ], + "pricing": { + "prompt": "0", + "completion": "0", + "image": "0", + "per_image": { + "default": "0.075" + }, + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "context_length": 5000, + "max_output": 4096, + "supported_parameters": [ + "temperature", + "max_tokens", + "top_p", + "frequency_penalty", + "presence_penalty", + "response_format", + "tools", + "tool_choice" + ], + "json_output": false, + "structured_outputs": false, + "free": false + }, + { + "id": "wan-3-0-video", + "name": "Wan 3.0 Video", + "display_name": "Wan 3.0 Video", + "created": 1785801600, + "description": "Alibaba's all-in-one Wan 3.0 video model for text-to-video, first/last-frame image-to-video, and reference-image video generation up to 30 seconds with optional synchronized audio.", + "family": "alibaba", + "architecture": { + "input_modalities": ["text", "image"], + "output_modalities": ["video"], + "tokenizer": "GPT" + }, + "top_provider": { + "is_moderated": true + }, + "providers": [ + { + "providerId": "alibaba", + "externalId": "wan3.0-video", + "supportedVideoSizes": [ + "854x480", + "480x854", + "1280x720", + "720x1280", + "1920x1080", + "1080x1920" + ], + "supportsVideoAudio": true, + "supportsVideoWithoutAudio": true, + "supported_video_durations_seconds": [ + 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, + 21, 22, 23, 24, 25, 26, 27, 28, 29, 30 + ], + "pricing": { + "prompt": "0", + "completion": "0", + "image": "0", + "per_second": { + "default": "0.1", + "480p": "0.05", + "720p": "0.1", + "1080p": "0.2" + }, + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 20000, + "streaming": false, + "vision": true, + "cancellation": true, + "tools": false, + "parallelToolCalls": false, + "json_output": false, + "reasoning": false, + "max_output": 1 + } + ], + "pricing": { + "prompt": "0", + "completion": "0", + "image": "0", + "per_second": { + "default": "0.1", + "480p": "0.05", + "720p": "0.1", + "1080p": "0.2" + }, + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "context_length": 20000, + "max_output": 1, + "per_request_limits": { + "max_video_duration_seconds": "30" + }, + "supported_parameters": [ + "temperature", + "max_tokens", + "top_p", + "frequency_penalty", + "presence_penalty", + "response_format", + "tools", + "tool_choice" + ], + "json_output": false, + "structured_outputs": false, + "free": false + }, + { + "id": "wan-3-0-video-prime", + "name": "Wan 3.0 Video Prime", + "display_name": "Wan 3.0 Video Prime", + "created": 1787097600, + "description": "High-speed version of Alibaba's all-in-one Wan 3.0 video model for text-to-video, first/last-frame image-to-video, and reference-image video generation up to 30 seconds with optional synchronized audio.", + "family": "alibaba", + "architecture": { + "input_modalities": ["text", "image"], + "output_modalities": ["video"], + "tokenizer": "GPT" + }, + "top_provider": { + "is_moderated": true + }, + "providers": [ + { + "providerId": "alibaba", + "externalId": "wan3.0-video-prime", + "supportedVideoSizes": [ + "854x480", + "480x854", + "1280x720", + "720x1280", + "1920x1080", + "1080x1920" + ], + "supportsVideoAudio": true, + "supportsVideoWithoutAudio": true, + "supported_video_durations_seconds": [ + 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, + 21, 22, 23, 24, 25, 26, 27, 28, 29, 30 + ], + "pricing": { + "prompt": "0", + "completion": "0", + "image": "0", + "per_second": { + "default": "0.14", + "480p": "0.068", + "720p": "0.14", + "1080p": "0.28" + }, + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "context_length": 20000, + "streaming": false, + "vision": true, + "cancellation": true, + "tools": false, + "parallelToolCalls": false, + "json_output": false, + "reasoning": false, + "max_output": 1 + } + ], + "pricing": { + "prompt": "0", + "completion": "0", + "image": "0", + "per_second": { + "default": "0.14", + "480p": "0.068", + "720p": "0.14", + "1080p": "0.28" + }, + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "context_length": 20000, + "max_output": 1, + "per_request_limits": { + "max_video_duration_seconds": "30" + }, + "supported_parameters": [ + "temperature", + "max_tokens", + "top_p", + "frequency_penalty", + "presence_penalty", + "response_format", + "tools", + "tool_choice" + ], + "json_output": false, + "structured_outputs": false, + "free": false + }, + { + "id": "z-image-turbo", + "name": "Z-Image Turbo", + "display_name": "Z-Image Turbo", + "created": 1764115200, + "description": "Tongyi-MAI's fast 6B-parameter text-to-image model with photorealistic output and bilingual text rendering.", + "family": "alibaba", + "architecture": { + "input_modalities": ["text"], + "output_modalities": ["image"], + "tokenizer": "GPT" + }, + "top_provider": { + "is_moderated": true + }, + "providers": [ + { + "providerId": "fal-ai", + "externalId": "fal-ai/z-image/turbo", + "pricing": { + "prompt": "0", + "completion": "0", + "image": "0", + "per_image": { + "default": "0.005", + "1024x1024": "0.005", + "1536x1024": "0.01", + "1024x1536": "0.01", + "1344x768": "0.005", + "768x1344": "0.005", + "2048x2048": "0.02" + }, + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0" + }, + "streaming": false, + "vision": false, + "cancellation": false, + "tools": false, + "parallelToolCalls": false, + "json_output": false, + "reasoning": false + } + ], + "pricing": { + "prompt": "0", + "completion": "0", + "image": "0", + "per_image": { + "default": "0.005", + "1024x1024": "0.005", + "1536x1024": "0.01", + "1024x1536": "0.01", + "1344x768": "0.005", + "768x1344": "0.005", + "2048x2048": "0.02" + }, + "request": "0", + "input_cache_read": "0", + "input_cache_write": "0", + "input_cache_write_1h": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "context_length": 0, + "supported_parameters": [ + "temperature", + "max_tokens", + "top_p", + "frequency_penalty", + "presence_penalty", + "response_format", + "tools", + "tool_choice" + ], + "json_output": false, + "structured_outputs": false, + "free": false } ] diff --git a/scripts/lovable-gateway.models.json b/scripts/lovable-gateway.models.json index 2ae1137174..7b84333c30 100644 --- a/scripts/lovable-gateway.models.json +++ b/scripts/lovable-gateway.models.json @@ -3242,9 +3242,14 @@ ] } }, - "video_duration": { - "720p": { - "cost_per_second": "0.00007" + "output": { + "video": { + "tiers": [ + { + "cost": "0.00007", + "min": 0 + } + ] } } }, @@ -5632,6 +5637,190 @@ "responses": "zero" } }, + { + "premium_output_modalities": [], + "id": "openai/gpt-6.1-terra", + "object": "model", + "created": 1793750400, + "released": 1792972800, + "expiration_date": null, + "deprecated": false, + "owned_by": "openai", + "name": "GPT-6.1 Terra", + "description": "Fast, efficient reasoning for visual tasks, computer use, and writing.", + "context_window": 1050000, + "max_tokens": 128000, + "knowledge": "2026-06-01", + "modalities": { + "input": [ + "text", + "image" + ], + "output": [ + "text" + ] + }, + "supported_surfaces": [ + "chat-completions", + "responses" + ], + "pricing": { + "cost_currency": "credits", + "input": { + "image": { + "billed_as": "text" + }, + "text": { + "tiers": [ + { + "cost": "0.000004", + "min": 0, + "max": 272000 + }, + { + "cost": "0.000008", + "min": 272000 + } + ], + "cache_read": { + "tiers": [ + { + "cost": "0.0000002", + "min": 0, + "max": 272000 + }, + { + "cost": "0.0000004", + "min": 272000 + } + ] + }, + "cache_write": { + "tiers": [ + { + "cost": "0.000005", + "min": 0, + "max": 272000 + }, + { + "cost": "0.00001", + "min": 272000 + } + ] + }, + "cache_write_12h": { + "tiers": [ + { + "cost": "0.00001", + "min": 0, + "max": 272000 + }, + { + "cost": "0.00002", + "min": 272000 + } + ] + } + } + }, + "output": { + "text": { + "tiers": [ + { + "cost": "0.00002", + "min": 0, + "max": 272000 + }, + { + "cost": "0.00003", + "min": 272000 + } + ] + } + }, + "service_tiers": { + "priority": { + "input": { + "image": { + "billed_as": "text" + }, + "text": { + "tiers": [ + { + "cost": "0.000008", + "min": 0, + "max": 272000 + }, + { + "cost": "0.000016", + "min": 272000 + } + ], + "cache_read": { + "tiers": [ + { + "cost": "0.0000004", + "min": 0, + "max": 272000 + }, + { + "cost": "0.0000008", + "min": 272000 + } + ] + }, + "cache_write": { + "tiers": [ + { + "cost": "0.00001", + "min": 0, + "max": 272000 + }, + { + "cost": "0.00002", + "min": 272000 + } + ] + }, + "cache_write_12h": { + "tiers": [ + { + "cost": "0.00002", + "min": 0, + "max": 272000 + }, + { + "cost": "0.00004", + "min": 272000 + } + ] + } + } + }, + "output": { + "text": { + "tiers": [ + { + "cost": "0.00004", + "min": 0, + "max": 272000 + }, + { + "cost": "0.00006", + "min": 272000 + } + ] + } + } + } + } + }, + "data_retention": "provider_retained", + "data_retention_by_surface": { + "chat-completions": "provider_retained", + "responses": "provider_retained" + } + }, { "premium_output_modalities": [], "id": "openai/gpt-image-1-mini", @@ -5888,6 +6077,132 @@ "image-generation": "zero" } }, + { + "premium_output_modalities": [], + "id": "openai/gpt-image-2.6-flare", + "object": "model", + "created": 1793923200, + "released": 1793750400, + "expiration_date": null, + "deprecated": false, + "owned_by": "openai", + "name": "GPT Image 2.6 Flare", + "description": "Latency-first OpenAI image generation and editing model.", + "context_window": 0, + "max_tokens": 0, + "modalities": { + "input": [ + "text", + "image" + ], + "output": [ + "image" + ] + }, + "supported_surfaces": [ + "image-generation", + "image-edit" + ], + "pricing": { + "cost_currency": "credits", + "input": { + "image": { + "tiers": [ + { + "cost": "0.000032", + "min": 0 + } + ] + }, + "text": { + "tiers": [ + { + "cost": "0.00002", + "min": 0 + } + ] + } + }, + "output": { + "image": { + "tiers": [ + { + "cost": "0.00012", + "min": 0 + } + ] + } + } + }, + "data_retention": "zero", + "data_retention_by_surface": { + "image-edit": "zero", + "image-generation": "zero" + } + }, + { + "premium_output_modalities": [], + "id": "openai/gpt-image-2.6-sunburst", + "object": "model", + "created": 1793923200, + "released": 1793750400, + "expiration_date": null, + "deprecated": false, + "owned_by": "openai", + "name": "GPT Image 2.6 Sunburst", + "description": "Quality-first OpenAI image generation and editing model.", + "context_window": 0, + "max_tokens": 0, + "modalities": { + "input": [ + "text", + "image" + ], + "output": [ + "image" + ] + }, + "supported_surfaces": [ + "image-generation", + "image-edit" + ], + "pricing": { + "cost_currency": "credits", + "input": { + "image": { + "tiers": [ + { + "cost": "0.000032", + "min": 0 + } + ] + }, + "text": { + "tiers": [ + { + "cost": "0.00002", + "min": 0 + } + ] + } + }, + "output": { + "image": { + "tiers": [ + { + "cost": "0.00012", + "min": 0 + } + ] + } + } + }, + "data_retention": "zero", + "data_retention_by_surface": { + "image-edit": "zero", + "image-generation": "zero" + } + }, { "premium_output_modalities": [], "id": "openai/gpt-live-1", diff --git a/scripts/neon.models.json b/scripts/neon.models.json index 2de4c883bb..b6b6457bac 100644 --- a/scripts/neon.models.json +++ b/scripts/neon.models.json @@ -2840,11 +2840,11 @@ "unsupported": "gte-large-en does not serve chat completions. It is an embedding model — see the embeddings use case." }, { - "id": "inkling", - "name": "Inkling", - "lab": "thinkingmachines", + "id": "kimi-k3", + "name": "Kimi K3", + "lab": "moonshotai", "provider": "databricks", - "family": "ling", + "family": "kimi-k3", "released": true, "attachment": true, "reasoning": true, @@ -2859,12 +2859,12 @@ ], "tool_call": true, "temperature": true, - "structured_output": false, + "structured_output": true, "open_weights": true, - "release_date": "2026-07-15", - "last_updated": "2026-07-15", + "release_date": "2026-07-16", + "last_updated": "2026-07-16", "modalities": { - "input": ["text", "image", "audio"], + "input": ["text", "image", "video"], "output": ["text"] }, "limit": { @@ -2872,11 +2872,11 @@ "output": 65536 }, "cost": { - "input": 1, - "output": 4.05, - "cache_read": 0.17 + "input": 3, + "output": 15, + "cache_read": 0.3 }, - "blended_cost": 1.763, + "blended_cost": 6, "capabilities": { "entitled": true, "chat": "conforms", @@ -2891,11 +2891,11 @@ "use_case": "chat" }, { - "id": "kimi-k3", - "name": "Kimi K3", + "id": "kimi-k3-1-pro", + "name": "Kimi K3.1 Pro", "lab": "moonshotai", "provider": "databricks", - "family": "kimi-k3", + "family": "kimi-k3-1", "released": true, "attachment": true, "reasoning": true, @@ -2912,10 +2912,10 @@ "temperature": true, "structured_output": true, "open_weights": true, - "release_date": "2026-07-16", - "last_updated": "2026-07-16", + "release_date": "2026-11-04", + "last_updated": "2026-11-04", "modalities": { - "input": ["text", "image", "video"], + "input": ["text", "image"], "output": ["text"] }, "limit": { @@ -2923,11 +2923,11 @@ "output": 65536 }, "cost": { - "input": 3, - "output": 15, - "cache_read": 0.3 + "input": 2, + "output": 10, + "cache_read": 0.2 }, - "blended_cost": 6, + "blended_cost": 4, "capabilities": { "entitled": true, "chat": "conforms", @@ -3070,7 +3070,7 @@ { "id": "openjev-qwen35-4b", "name": "OpenJev (Qwen 3.5 4B)", - "lab": "typesafe", + "lab": "alibaba", "provider": "databricks", "family": "openjev", "released": true, diff --git a/scripts/openrouter.models.json b/scripts/openrouter.models.json index 561e0c59d1..3c1d242ed5 100644 --- a/scripts/openrouter.models.json +++ b/scripts/openrouter.models.json @@ -3,8 +3,8 @@ "id": "~anthropic/claude-fable-latest", "canonical_slug": "~anthropic/claude-fable-latest", "alias_target": { - "name": "Anthropic: Claude Fable 5.1", - "slug": "anthropic/claude-fable-5.1" + "name": "Anthropic: Claude Fable 5.2", + "slug": "anthropic/claude-fable-5.2" }, "hugging_face_id": null, "name": "Anthropic: Claude Fable Latest", @@ -19,12 +19,12 @@ "instruct_type": null }, "pricing": { - "prompt": "0.00001", - "completion": "0.00005", + "prompt": "0.000008", + "completion": "0.00004", "web_search": "0.01", - "input_cache_read": "0.00000025", - "input_cache_write": "0.0000125", - "input_cache_write_1h": "0.00002" + "input_cache_read": "0.0000002", + "input_cache_write": "0.00001", + "input_cache_write_1h": "0.000016" }, "top_provider": { "context_length": 1000000, @@ -289,9 +289,9 @@ "instruct_type": null }, "pricing": { - "prompt": "0.000000006", + "prompt": "0.000000038", "completion": "0.0000005", - "input_cache_read": "0.000000005" + "input_cache_read": "0.00000001" }, "top_provider": { "context_length": 1048576, @@ -363,9 +363,9 @@ "instruct_type": null }, "pricing": { - "prompt": "0.0000000927", + "prompt": "0.0000000999", "completion": "0.000008", - "input_cache_read": "0.0000000927" + "input_cache_read": "0.0000000999" }, "top_provider": { "context_length": 1048576, @@ -437,7 +437,7 @@ "instruct_type": null }, "pricing": { - "prompt": "0.000000059", + "prompt": "0.0000000434", "completion": "0.0000003", "input_cache_read": "0.000000035" }, @@ -495,8 +495,8 @@ "id": "~google/gemini-flash-latest", "canonical_slug": "~google/gemini-flash-latest", "alias_target": { - "name": "Google: Gemini 3.8 Flash", - "slug": "google/gemini-3.8-flash" + "name": "Google: Gemini 4 Hydrogen", + "slug": "google/gemini-4-hydrogen" }, "hugging_face_id": null, "name": "Google: Gemini Flash Latest", @@ -505,25 +505,25 @@ "context_length": 1048576, "architecture": { "modality": "text+image+file+audio+video->text", - "input_modalities": ["text", "image", "video", "file", "audio"], + "input_modalities": ["audio", "file", "image", "text", "video"], "output_modalities": ["text"], "tokenizer": "Router", "instruct_type": null }, "pricing": { - "prompt": "0.00000075", - "completion": "0.00000375", - "image": "0.00000075", - "audio": "0.00000075", + "prompt": "0.0000015", + "completion": "0.0000075", + "image": "0.0000015", + "audio": "0.0000015", "input_audio_cache": "0.000000075", "web_search": "0.014", - "internal_reasoning": "0.00000375", + "internal_reasoning": "0.0000075", "input_cache_read": "0.000000075", - "input_cache_write": "0.0000000416666666666667" + "input_cache_write": "0.0000000833333333333333" }, "top_provider": { "context_length": 1048576, - "max_completion_tokens": 65536, + "max_completion_tokens": 943718, "is_moderated": false }, "per_request_limits": null, @@ -541,7 +541,14 @@ "tools", "top_p" ], - "default_parameters": {}, + "default_parameters": { + "temperature": null, + "top_p": null, + "top_k": null, + "frequency_penalty": null, + "presence_penalty": null, + "repetition_penalty": null + }, "supported_voices": null, "knowledge_cutoff": null, "expiration_date": null, @@ -556,8 +563,7 @@ ], "reasoning": { "mandatory": true, - "default_enabled": true, - "supported_efforts": ["high", "medium", "low"], + "supported_efforts": ["xhigh", "high", "medium", "low"], "default_effort": "medium" } }, @@ -565,8 +571,8 @@ "id": "~google/gemini-pro-latest", "canonical_slug": "~google/gemini-pro-latest", "alias_target": { - "name": "Google: Gemini 4 Argon", - "slug": "google/gemini-4-argon" + "name": "Google: Gemini 4 Carbon", + "slug": "google/gemini-4-carbon" }, "hugging_face_id": null, "name": "Google: Gemini Pro Latest", @@ -657,9 +663,9 @@ "instruct_type": null }, "pricing": { - "prompt": "0.0000001529", - "completion": "0.0000093388", - "input_cache_read": "0.00000015" + "prompt": "0.0000001824", + "completion": "0.0000110055", + "input_cache_read": "0.00000018" }, "top_provider": { "context_length": 1048576, @@ -672,10 +678,8 @@ "include_reasoning", "logit_bias", "logprobs", - "max_completion_tokens", "max_tokens", "min_p", - "parallel_tool_calls", "presence_penalty", "reasoning", "reasoning_effort", @@ -1244,9 +1248,9 @@ "instruct_type": null }, "pricing": { - "prompt": "0.0000000285", - "completion": "0.0000000923", - "input_cache_read": "0.0000000285" + "prompt": "0.0000000399", + "completion": "0.0000000784", + "input_cache_read": "0.00000003" }, "top_provider": { "context_length": 1048576, @@ -1654,7 +1658,7 @@ { "id": "aion-labs/aion-rp-llama-3.1-8b", "canonical_slug": "aion-labs/aion-rp-llama-3.1-8b", - "hugging_face_id": "", + "hugging_face_id": "aion-labs/Aion-RP-Llama-3.1-8B", "name": "AionLabs: Aion-RP 1.0 (8B)", "created": 1738696718, "description": "Aion-RP-Llama-3.1-8B ranks the highest in the character evaluation portion of the RPBench-Auto benchmark, a roleplaying-specific variant of Arena-Hard-Auto, where LLMs evaluate each other’s responses. It is a fine-tuned base model...", @@ -1906,9 +1910,9 @@ { "arena": "models", "category": "website", - "elo": 835, + "elo": 827, "win_rate": 26.2, - "rank": 145 + "rank": 149 } ] } @@ -1964,9 +1968,9 @@ { "arena": "models", "category": "website", - "elo": 794, + "elo": 788, "win_rate": 21.4, - "rank": 147 + "rank": 151 } ] } @@ -1988,7 +1992,8 @@ }, "pricing": { "prompt": "0.0000025", - "completion": "0.000005" + "completion": "0.000005", + "input_cache_read": "0.0000025" }, "top_provider": { "context_length": 32768, @@ -2095,8 +2100,8 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1231, - "win_rate": 61.9, + "elo": 1228, + "win_rate": 62, "rank": 2 }, { @@ -2116,107 +2121,107 @@ { "arena": "agents", "category": "androidnative", - "elo": 1282, - "win_rate": 65.1, - "rank": 3 + "elo": 1276, + "win_rate": 65.3, + "rank": 4 }, { "arena": "agents", "category": "fullstack", - "elo": 1273, + "elo": 1253, "win_rate": 58.2, - "rank": 7 + "rank": 9 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1292, + "elo": 1271, "win_rate": 64.3, "rank": 2 }, { "arena": "agents", "category": "htmlslides", - "elo": 1173, - "win_rate": 63.1, + "elo": 1172, + "win_rate": 63.2, "rank": 4 }, { "arena": "agents", "category": "mobileapps", - "elo": 1262, - "win_rate": 60.4, - "rank": 6 + "elo": 1255, + "win_rate": 60.5, + "rank": 7 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1250, - "win_rate": 61.4, + "elo": 1266, + "win_rate": 61.6, "rank": 4 }, { "arena": "agents", "category": "webapps", - "elo": 1245, + "elo": 1238, "win_rate": 56.3, - "rank": 12 + "rank": 14 }, { "arena": "models", "category": "3d", - "elo": 1315, - "win_rate": 61.8, - "rank": 17 + "elo": 1297, + "win_rate": 61.6, + "rank": 19 }, { "arena": "models", "category": "asciiart", - "elo": 1324, + "elo": 1321, "win_rate": 67.9, - "rank": 3 + "rank": 4 }, { "arena": "models", "category": "codecategories", - "elo": 1308, - "win_rate": 57.6, - "rank": 13 + "elo": 1301, + "win_rate": 57.9, + "rank": 16 }, { "arena": "models", "category": "dataviz", - "elo": 1304, - "win_rate": 57.5, - "rank": 13 + "elo": 1303, + "win_rate": 57.8, + "rank": 12 }, { "arena": "models", "category": "gamedev", - "elo": 1334, + "elo": 1325, "win_rate": 60.8, - "rank": 11 + "rank": 14 }, { "arena": "models", "category": "svg", - "elo": 1298, - "win_rate": 62.6, - "rank": 8 + "elo": 1292, + "win_rate": 62.8, + "rank": 9 }, { "arena": "models", "category": "uicomponent", - "elo": 1313, - "win_rate": 58.1, - "rank": 14 + "elo": 1310, + "win_rate": 58.2, + "rank": 16 }, { "arena": "models", "category": "website", - "elo": 1294, - "win_rate": 56, - "rank": 18 + "elo": 1288, + "win_rate": 56.3, + "rank": 22 } ], "artificial_analysis": { @@ -2292,8 +2297,8 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1231, - "win_rate": 61.9, + "elo": 1228, + "win_rate": 62, "rank": 2 }, { @@ -2313,107 +2318,107 @@ { "arena": "agents", "category": "androidnative", - "elo": 1282, - "win_rate": 65.1, - "rank": 3 + "elo": 1276, + "win_rate": 65.3, + "rank": 4 }, { "arena": "agents", "category": "fullstack", - "elo": 1273, + "elo": 1253, "win_rate": 58.2, - "rank": 7 + "rank": 9 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1292, + "elo": 1271, "win_rate": 64.3, "rank": 2 }, { "arena": "agents", "category": "htmlslides", - "elo": 1173, - "win_rate": 63.1, + "elo": 1172, + "win_rate": 63.2, "rank": 4 }, { "arena": "agents", "category": "mobileapps", - "elo": 1262, - "win_rate": 60.4, - "rank": 6 + "elo": 1255, + "win_rate": 60.5, + "rank": 7 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1250, - "win_rate": 61.4, + "elo": 1266, + "win_rate": 61.6, "rank": 4 }, { "arena": "agents", "category": "webapps", - "elo": 1245, + "elo": 1238, "win_rate": 56.3, - "rank": 12 + "rank": 14 }, { "arena": "models", "category": "3d", - "elo": 1315, - "win_rate": 61.8, - "rank": 17 + "elo": 1297, + "win_rate": 61.6, + "rank": 19 }, { "arena": "models", "category": "asciiart", - "elo": 1324, + "elo": 1321, "win_rate": 67.9, - "rank": 3 + "rank": 4 }, { "arena": "models", "category": "codecategories", - "elo": 1308, - "win_rate": 57.6, - "rank": 13 + "elo": 1301, + "win_rate": 57.9, + "rank": 16 }, { "arena": "models", "category": "dataviz", - "elo": 1304, - "win_rate": 57.5, - "rank": 13 + "elo": 1303, + "win_rate": 57.8, + "rank": 12 }, { "arena": "models", "category": "gamedev", - "elo": 1334, + "elo": 1325, "win_rate": 60.8, - "rank": 11 + "rank": 14 }, { "arena": "models", "category": "svg", - "elo": 1298, - "win_rate": 62.6, - "rank": 8 + "elo": 1292, + "win_rate": 62.8, + "rank": 9 }, { "arena": "models", "category": "uicomponent", - "elo": 1313, - "win_rate": 58.1, - "rank": 14 + "elo": 1310, + "win_rate": 58.2, + "rank": 16 }, { "arena": "models", "category": "website", - "elo": 1294, - "win_rate": 56, - "rank": 18 + "elo": 1288, + "win_rate": 56.3, + "rank": 22 } ], "artificial_analysis": { @@ -2488,107 +2493,107 @@ { "arena": "agents", "category": "fullstack", - "elo": 1320, + "elo": 1298, "win_rate": 57.1, - "rank": 2 + "rank": 4 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1327, + "elo": 1304, "win_rate": 60.7, "rank": 1 }, { "arena": "agents", "category": "htmlslides", - "elo": 1394, + "elo": 1390, "win_rate": 56.5, "rank": 1 }, { "arena": "agents", "category": "mobileapps", - "elo": 1261, + "elo": 1254, "win_rate": 56.3, "rank": 8 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1318, - "win_rate": 60.8, + "elo": 1316, + "win_rate": 62.1, "rank": 1 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1426, - "win_rate": 70.4, - "rank": 1 + "elo": 1346, + "win_rate": 60.1, + "rank": 3 }, { "arena": "agents", "category": "webapps", - "elo": 1320, + "elo": 1315, "win_rate": 58.2, - "rank": 1 + "rank": 2 }, { "arena": "models", "category": "3d", - "elo": 1403, - "win_rate": 63.4, - "rank": 5 + "elo": 1388, + "win_rate": 63.1, + "rank": 9 }, { "arena": "models", "category": "asciiart", - "elo": 1321, + "elo": 1318, "win_rate": 65, - "rank": 4 + "rank": 5 }, { "arena": "models", "category": "codecategories", - "elo": 1333, - "win_rate": 57.4, - "rank": 8 + "elo": 1330, + "win_rate": 57.5, + "rank": 11 }, { "arena": "models", "category": "dataviz", - "elo": 1344, - "win_rate": 61.8, + "elo": 1345, + "win_rate": 62.4, "rank": 5 }, { "arena": "models", "category": "gamedev", - "elo": 1373, - "win_rate": 60.2, - "rank": 6 + "elo": 1364, + "win_rate": 59.5, + "rank": 7 }, { "arena": "models", "category": "svg", - "elo": 1296, - "win_rate": 56.4, - "rank": 9 + "elo": 1292, + "win_rate": 56.6, + "rank": 10 }, { "arena": "models", "category": "uicomponent", - "elo": 1333, - "win_rate": 59.6, - "rank": 11 + "elo": 1332, + "win_rate": 59.9, + "rank": 12 }, { "arena": "models", "category": "website", - "elo": 1308, - "win_rate": 55.1, - "rank": 10 + "elo": 1305, + "win_rate": 55.2, + "rank": 15 } ], "artificial_analysis": { @@ -2657,107 +2662,107 @@ { "arena": "agents", "category": "fullstack", - "elo": 1320, + "elo": 1298, "win_rate": 57.1, - "rank": 2 + "rank": 4 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1327, + "elo": 1304, "win_rate": 60.7, "rank": 1 }, { "arena": "agents", "category": "htmlslides", - "elo": 1394, + "elo": 1390, "win_rate": 56.5, "rank": 1 }, { "arena": "agents", "category": "mobileapps", - "elo": 1261, + "elo": 1254, "win_rate": 56.3, "rank": 8 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1318, - "win_rate": 60.8, + "elo": 1316, + "win_rate": 62.1, "rank": 1 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1426, - "win_rate": 70.4, - "rank": 1 + "elo": 1346, + "win_rate": 60.1, + "rank": 3 }, { "arena": "agents", "category": "webapps", - "elo": 1320, + "elo": 1315, "win_rate": 58.2, - "rank": 1 + "rank": 2 }, { "arena": "models", "category": "3d", - "elo": 1403, - "win_rate": 63.4, - "rank": 5 + "elo": 1388, + "win_rate": 63.1, + "rank": 9 }, { "arena": "models", "category": "asciiart", - "elo": 1321, + "elo": 1318, "win_rate": 65, - "rank": 4 + "rank": 5 }, { "arena": "models", "category": "codecategories", - "elo": 1333, - "win_rate": 57.4, - "rank": 8 + "elo": 1330, + "win_rate": 57.5, + "rank": 11 }, { "arena": "models", "category": "dataviz", - "elo": 1344, - "win_rate": 61.8, + "elo": 1345, + "win_rate": 62.4, "rank": 5 }, { "arena": "models", "category": "gamedev", - "elo": 1373, - "win_rate": 60.2, - "rank": 6 + "elo": 1364, + "win_rate": 59.5, + "rank": 7 }, { "arena": "models", "category": "svg", - "elo": 1296, - "win_rate": 56.4, - "rank": 9 + "elo": 1292, + "win_rate": 56.6, + "rank": 10 }, { "arena": "models", "category": "uicomponent", - "elo": 1333, - "win_rate": 59.6, - "rank": 11 + "elo": 1332, + "win_rate": 59.9, + "rank": 12 }, { "arena": "models", "category": "website", - "elo": 1308, - "win_rate": 55.1, - "rank": 10 + "elo": 1305, + "win_rate": 55.2, + "rank": 15 } ], "artificial_analysis": { @@ -2773,13 +2778,13 @@ } }, { - "id": "anthropic/claude-haiku-4.5", - "canonical_slug": "anthropic/claude-4.5-haiku-20251001", - "hugging_face_id": "", - "name": "Anthropic: Claude Haiku 4.5", - "created": 1760547638, - "description": "Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...", - "context_length": 200000, + "id": "anthropic/claude-fable-5.2", + "canonical_slug": "anthropic/claude-fable-5.2-20261109", + "hugging_face_id": null, + "name": "Anthropic: Claude Fable 5.2", + "created": 1794253781, + "description": "Claude Fable 5.2 is Anthropic's most capable model for the most demanding technical work, with gains over Fable 5.1 in coding, reasoning, and vision. In prerelease testing it completed otherwise-infeasible...", + "context_length": 1000000, "architecture": { "modality": "text+image+file->text", "input_modalities": ["text", "image", "file"], @@ -2788,16 +2793,16 @@ "instruct_type": null }, "pricing": { - "prompt": "0.000001", - "completion": "0.000005", + "prompt": "0.000008", + "completion": "0.00004", "web_search": "0.01", - "input_cache_read": "0.0000001", - "input_cache_write": "0.00000125", - "input_cache_write_1h": "0.000002" + "input_cache_read": "0.0000002", + "input_cache_write": "0.00001", + "input_cache_write_1h": "0.000016" }, "top_provider": { - "context_length": 200000, - "max_completion_tokens": 64000, + "context_length": 1000000, + "max_completion_tokens": 128000, "is_moderated": true }, "per_request_limits": null, @@ -2806,28 +2811,20 @@ "max_completion_tokens", "max_tokens", "reasoning", + "reasoning_effort", "response_format", "stop", "structured_outputs", - "temperature", "tool_choice", "tools", - "top_k", - "top_p" + "verbosity" ], - "default_parameters": { - "temperature": null, - "top_p": null, - "top_k": null, - "frequency_penalty": null, - "presence_penalty": null, - "repetition_penalty": null - }, + "default_parameters": {}, "supported_voices": null, "knowledge_cutoff": null, "expiration_date": null, "links": { - "details": "/api/v1/models/anthropic/claude-4.5-haiku-20251001/endpoints" + "details": "/api/v1/models/anthropic/claude-fable-5.2-20261109/endpoints" }, "endpoints": [ "/api/v1/chat/completions", @@ -2838,80 +2835,89 @@ "benchmarks": { "design_arena": [ { - "arena": "models", - "category": "3d", - "elo": 1069, - "win_rate": 41.1, - "rank": 103 + "arena": "agents", + "category": "fullstack", + "elo": 1404, + "win_rate": 73.3, + "rank": 1 }, { - "arena": "models", - "category": "asciiart", - "elo": 1137, - "win_rate": 49.3, - "rank": 53 + "arena": "agents", + "category": "mobileapps", + "elo": 1326, + "win_rate": 66, + "rank": 2 }, { - "arena": "models", - "category": "codecategories", - "elo": 1113, - "win_rate": 44.9, - "rank": 102 + "arena": "agents", + "category": "pdf", + "elo": 1319, + "win_rate": 68.1, + "rank": 2 + }, + { + "arena": "agents", + "category": "spreadsheet", + "elo": 1434, + "win_rate": 75.1, + "rank": 1 }, { "arena": "models", - "category": "dataviz", - "elo": 1125, - "win_rate": 45.7, - "rank": 94 + "category": "3d", + "elo": 1505, + "win_rate": 75.2, + "rank": 1 }, { "arena": "models", - "category": "gamedev", - "elo": 1097, - "win_rate": 44.7, - "rank": 98 + "category": "codecategories", + "elo": 1373, + "win_rate": 62.4, + "rank": 3 }, { "arena": "models", - "category": "svg", - "elo": 1022, - "win_rate": 39.1, - "rank": 86 + "category": "gamedev", + "elo": 1396, + "win_rate": 64.5, + "rank": 5 }, { "arena": "models", "category": "uicomponent", - "elo": 1095, - "win_rate": 42.6, - "rank": 99 + "elo": 1374, + "win_rate": 62.7, + "rank": 4 }, { "arena": "models", "category": "website", - "elo": 1122, - "win_rate": 45.1, - "rank": 103 + "elo": 1351, + "win_rate": 60.4, + "rank": 3 } ], "artificial_analysis": { - "intelligence_index": 7.4, - "coding_index": 43.9, - "agentic_index": 8 + "intelligence_index": 64.6, + "coding_index": null, + "agentic_index": null } }, "reasoning": { - "mandatory": false + "mandatory": true, + "supported_efforts": ["max", "xhigh", "high", "medium", "low"], + "default_effort": "high" } }, { - "id": "anthropic/claude-haiku-4.5:batch", - "canonical_slug": "anthropic/claude-4.5-haiku-20251001", - "hugging_face_id": "", - "name": "Anthropic: Claude Haiku 4.5 (batch)", - "created": 1760547638, - "description": "Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...", - "context_length": 200000, + "id": "anthropic/claude-fable-5.2:batch", + "canonical_slug": "anthropic/claude-fable-5.2-20261109", + "hugging_face_id": null, + "name": "Anthropic: Claude Fable 5.2 (batch)", + "created": 1794253781, + "description": "Claude Fable 5.2 is Anthropic's most capable model for the most demanding technical work, with gains over Fable 5.1 in coding, reasoning, and vision. In prerelease testing it completed otherwise-infeasible...", + "context_length": 1000000, "architecture": { "modality": "text+image+file->text", "input_modalities": ["text", "image", "file"], @@ -2920,16 +2926,16 @@ "instruct_type": null }, "pricing": { - "prompt": "0.0000005", - "completion": "0.0000025", + "prompt": "0.000004", + "completion": "0.00002", "web_search": "0.01", - "input_cache_read": "0.00000005", - "input_cache_write": "0.000000625", - "input_cache_write_1h": "0.000001" + "input_cache_read": "0.0000001", + "input_cache_write": "0.000005", + "input_cache_write_1h": "0.000008" }, "top_provider": { - "context_length": 200000, - "max_completion_tokens": 64000, + "context_length": 1000000, + "max_completion_tokens": 128000, "is_moderated": true }, "per_request_limits": null, @@ -2937,87 +2943,346 @@ "include_reasoning", "max_tokens", "reasoning", + "reasoning_effort", "response_format", "stop", "structured_outputs", - "temperature", "tool_choice", "tools", - "top_k", - "top_p" + "verbosity" ], - "default_parameters": { - "temperature": null, - "top_p": null, - "top_k": null, - "frequency_penalty": null, - "presence_penalty": null, - "repetition_penalty": null - }, + "default_parameters": {}, "supported_voices": null, "knowledge_cutoff": null, "expiration_date": null, "links": { - "details": "/api/v1/models/anthropic/claude-4.5-haiku-20251001/endpoints" + "details": "/api/v1/models/anthropic/claude-fable-5.2-20261109/endpoints" }, "endpoints": ["/api/v1/batches"], "benchmarks": { "design_arena": [ { - "arena": "models", - "category": "3d", - "elo": 1069, - "win_rate": 41.1, - "rank": 103 + "arena": "agents", + "category": "fullstack", + "elo": 1404, + "win_rate": 73.3, + "rank": 1 }, { - "arena": "models", - "category": "asciiart", - "elo": 1137, - "win_rate": 49.3, - "rank": 53 + "arena": "agents", + "category": "mobileapps", + "elo": 1326, + "win_rate": 66, + "rank": 2 }, { - "arena": "models", - "category": "codecategories", - "elo": 1113, - "win_rate": 44.9, - "rank": 102 + "arena": "agents", + "category": "pdf", + "elo": 1319, + "win_rate": 68.1, + "rank": 2 + }, + { + "arena": "agents", + "category": "spreadsheet", + "elo": 1434, + "win_rate": 75.1, + "rank": 1 }, { "arena": "models", - "category": "dataviz", - "elo": 1125, - "win_rate": 45.7, - "rank": 94 + "category": "3d", + "elo": 1505, + "win_rate": 75.2, + "rank": 1 }, { "arena": "models", - "category": "gamedev", - "elo": 1097, - "win_rate": 44.7, - "rank": 98 + "category": "codecategories", + "elo": 1373, + "win_rate": 62.4, + "rank": 3 }, { "arena": "models", - "category": "svg", - "elo": 1022, - "win_rate": 39.1, - "rank": 86 + "category": "gamedev", + "elo": 1396, + "win_rate": 64.5, + "rank": 5 }, { "arena": "models", "category": "uicomponent", - "elo": 1095, - "win_rate": 42.6, - "rank": 99 + "elo": 1374, + "win_rate": 62.7, + "rank": 4 }, { "arena": "models", "category": "website", - "elo": 1122, + "elo": 1351, + "win_rate": 60.4, + "rank": 3 + } + ], + "artificial_analysis": { + "intelligence_index": 64.6, + "coding_index": null, + "agentic_index": null + } + }, + "reasoning": { + "mandatory": true, + "supported_efforts": ["max", "xhigh", "high", "medium", "low"], + "default_effort": "high" + } + }, + { + "id": "anthropic/claude-haiku-4.5", + "canonical_slug": "anthropic/claude-4.5-haiku-20251001", + "hugging_face_id": "", + "name": "Anthropic: Claude Haiku 4.5", + "created": 1760547638, + "description": "Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...", + "context_length": 200000, + "architecture": { + "modality": "text+image+file->text", + "input_modalities": ["text", "image", "file"], + "output_modalities": ["text"], + "tokenizer": "Claude", + "instruct_type": null + }, + "pricing": { + "prompt": "0.000001", + "completion": "0.000005", + "web_search": "0.01", + "input_cache_read": "0.0000001", + "input_cache_write": "0.00000125", + "input_cache_write_1h": "0.000002" + }, + "top_provider": { + "context_length": 200000, + "max_completion_tokens": 64000, + "is_moderated": true + }, + "per_request_limits": null, + "supported_parameters": [ + "include_reasoning", + "max_completion_tokens", + "max_tokens", + "reasoning", + "response_format", + "stop", + "structured_outputs", + "temperature", + "tool_choice", + "tools", + "top_k", + "top_p" + ], + "default_parameters": { + "temperature": null, + "top_p": null, + "top_k": null, + "frequency_penalty": null, + "presence_penalty": null, + "repetition_penalty": null + }, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/anthropic/claude-4.5-haiku-20251001/endpoints" + }, + "endpoints": [ + "/api/v1/chat/completions", + "/api/v1/completions", + "/api/v1/messages", + "/api/v1/responses" + ], + "benchmarks": { + "design_arena": [ + { + "arena": "models", + "category": "3d", + "elo": 1052, + "win_rate": 41.1, + "rank": 111 + }, + { + "arena": "models", + "category": "asciiart", + "elo": 1135, + "win_rate": 49.3, + "rank": 52 + }, + { + "arena": "models", + "category": "codecategories", + "elo": 1104, + "win_rate": 44.9, + "rank": 106 + }, + { + "arena": "models", + "category": "dataviz", + "elo": 1122, + "win_rate": 45.7, + "rank": 96 + }, + { + "arena": "models", + "category": "gamedev", + "elo": 1087, + "win_rate": 44.7, + "rank": 102 + }, + { + "arena": "models", + "category": "svg", + "elo": 1015, + "win_rate": 39.1, + "rank": 89 + }, + { + "arena": "models", + "category": "uicomponent", + "elo": 1090, + "win_rate": 42.6, + "rank": 103 + }, + { + "arena": "models", + "category": "website", + "elo": 1114, "win_rate": 45.1, + "rank": 107 + } + ], + "artificial_analysis": { + "intelligence_index": 7.4, + "coding_index": 43.9, + "agentic_index": 8 + } + }, + "reasoning": { + "mandatory": false + } + }, + { + "id": "anthropic/claude-haiku-4.5:batch", + "canonical_slug": "anthropic/claude-4.5-haiku-20251001", + "hugging_face_id": "", + "name": "Anthropic: Claude Haiku 4.5 (batch)", + "created": 1760547638, + "description": "Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...", + "context_length": 200000, + "architecture": { + "modality": "text+image+file->text", + "input_modalities": ["text", "image", "file"], + "output_modalities": ["text"], + "tokenizer": "Claude", + "instruct_type": null + }, + "pricing": { + "prompt": "0.0000005", + "completion": "0.0000025", + "web_search": "0.01", + "input_cache_read": "0.00000005", + "input_cache_write": "0.000000625", + "input_cache_write_1h": "0.000001" + }, + "top_provider": { + "context_length": 200000, + "max_completion_tokens": 64000, + "is_moderated": true + }, + "per_request_limits": null, + "supported_parameters": [ + "include_reasoning", + "max_tokens", + "reasoning", + "response_format", + "stop", + "structured_outputs", + "temperature", + "tool_choice", + "tools", + "top_k", + "top_p" + ], + "default_parameters": { + "temperature": null, + "top_p": null, + "top_k": null, + "frequency_penalty": null, + "presence_penalty": null, + "repetition_penalty": null + }, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/anthropic/claude-4.5-haiku-20251001/endpoints" + }, + "endpoints": ["/api/v1/batches"], + "benchmarks": { + "design_arena": [ + { + "arena": "models", + "category": "3d", + "elo": 1052, + "win_rate": 41.1, + "rank": 111 + }, + { + "arena": "models", + "category": "asciiart", + "elo": 1135, + "win_rate": 49.3, + "rank": 52 + }, + { + "arena": "models", + "category": "codecategories", + "elo": 1104, + "win_rate": 44.9, + "rank": 106 + }, + { + "arena": "models", + "category": "dataviz", + "elo": 1122, + "win_rate": 45.7, + "rank": 96 + }, + { + "arena": "models", + "category": "gamedev", + "elo": 1087, + "win_rate": 44.7, + "rank": 102 + }, + { + "arena": "models", + "category": "svg", + "elo": 1015, + "win_rate": 39.1, + "rank": 89 + }, + { + "arena": "models", + "category": "uicomponent", + "elo": 1090, + "win_rate": 42.6, "rank": 103 + }, + { + "arena": "models", + "category": "website", + "elo": 1114, + "win_rate": 45.1, + "rank": 107 } ], "artificial_analysis": { @@ -3100,58 +3365,58 @@ { "arena": "models", "category": "3d", - "elo": 1335, - "win_rate": 56.9, - "rank": 12 + "elo": 1321, + "win_rate": 55.4, + "rank": 15 }, { "arena": "models", "category": "asciiart", "elo": 1210, - "win_rate": 51, + "win_rate": 49.6, "rank": 22 }, { "arena": "models", "category": "codecategories", - "elo": 1281, - "win_rate": 50.6, - "rank": 24 + "elo": 1278, + "win_rate": 50.3, + "rank": 25 }, { "arena": "models", "category": "dataviz", - "elo": 1290, - "win_rate": 52, - "rank": 15 + "elo": 1278, + "win_rate": 50.4, + "rank": 19 }, { "arena": "models", "category": "gamedev", - "elo": 1319, - "win_rate": 53.2, - "rank": 12 + "elo": 1316, + "win_rate": 52.2, + "rank": 15 }, { "arena": "models", "category": "svg", - "elo": 1205, - "win_rate": 44.4, - "rank": 28 + "elo": 1195, + "win_rate": 43.8, + "rank": 30 }, { "arena": "models", "category": "uicomponent", - "elo": 1278, - "win_rate": 51, - "rank": 26 + "elo": 1271, + "win_rate": 50.5, + "rank": 32 }, { "arena": "models", "category": "website", - "elo": 1261, - "win_rate": 48.7, - "rank": 37 + "elo": 1253, + "win_rate": 48.2, + "rank": 42 } ], "artificial_analysis": { @@ -3230,58 +3495,58 @@ { "arena": "models", "category": "3d", - "elo": 1335, - "win_rate": 56.9, - "rank": 12 + "elo": 1321, + "win_rate": 55.4, + "rank": 15 }, { "arena": "models", "category": "asciiart", "elo": 1210, - "win_rate": 51, + "win_rate": 49.6, "rank": 22 }, { "arena": "models", "category": "codecategories", - "elo": 1281, - "win_rate": 50.6, - "rank": 24 + "elo": 1278, + "win_rate": 50.3, + "rank": 25 }, { "arena": "models", "category": "dataviz", - "elo": 1290, - "win_rate": 52, - "rank": 15 + "elo": 1278, + "win_rate": 50.4, + "rank": 19 }, { "arena": "models", "category": "gamedev", - "elo": 1319, - "win_rate": 53.2, - "rank": 12 + "elo": 1316, + "win_rate": 52.2, + "rank": 15 }, { "arena": "models", "category": "svg", - "elo": 1205, - "win_rate": 44.4, - "rank": 28 + "elo": 1195, + "win_rate": 43.8, + "rank": 30 }, { "arena": "models", "category": "uicomponent", - "elo": 1278, - "win_rate": 51, - "rank": 26 + "elo": 1271, + "win_rate": 50.5, + "rank": 32 }, { "arena": "models", "category": "website", - "elo": 1261, - "win_rate": 48.7, - "rank": 37 + "elo": 1253, + "win_rate": 48.2, + "rank": 42 } ], "artificial_analysis": { @@ -3361,58 +3626,58 @@ { "arena": "models", "category": "3d", - "elo": 1150, + "elo": 1133, "win_rate": 51.9, - "rank": 69 + "rank": 76 }, { "arena": "models", "category": "asciiart", - "elo": 1164, + "elo": 1162, "win_rate": 51.5, "rank": 34 }, { "arena": "models", "category": "codecategories", - "elo": 1169, + "elo": 1160, "win_rate": 55.8, - "rank": 75 + "rank": 78 }, { "arena": "models", "category": "dataviz", - "elo": 1166, + "elo": 1163, "win_rate": 56.4, "rank": 75 }, { "arena": "models", "category": "gamedev", - "elo": 1171, + "elo": 1161, "win_rate": 58.4, - "rank": 66 + "rank": 71 }, { "arena": "models", "category": "svg", - "elo": 1149, + "elo": 1141, "win_rate": 60.8, - "rank": 48 + "rank": 52 }, { "arena": "models", "category": "uicomponent", - "elo": 1159, + "elo": 1155, "win_rate": 57.8, - "rank": 76 + "rank": 80 }, { "arena": "models", "category": "website", - "elo": 1175, + "elo": 1169, "win_rate": 55.3, - "rank": 79 + "rank": 83 } ] }, @@ -3480,58 +3745,58 @@ { "arena": "models", "category": "3d", - "elo": 1150, + "elo": 1133, "win_rate": 51.9, - "rank": 69 + "rank": 76 }, { "arena": "models", "category": "asciiart", - "elo": 1164, + "elo": 1162, "win_rate": 51.5, "rank": 34 }, { "arena": "models", "category": "codecategories", - "elo": 1169, + "elo": 1160, "win_rate": 55.8, - "rank": 75 + "rank": 78 }, { "arena": "models", "category": "dataviz", - "elo": 1166, + "elo": 1163, "win_rate": 56.4, "rank": 75 }, { "arena": "models", "category": "gamedev", - "elo": 1171, + "elo": 1161, "win_rate": 58.4, - "rank": 66 + "rank": 71 }, { "arena": "models", "category": "svg", - "elo": 1149, + "elo": 1141, "win_rate": 60.8, - "rank": 48 + "rank": 52 }, { "arena": "models", "category": "uicomponent", - "elo": 1159, + "elo": 1155, "win_rate": 57.8, - "rank": 76 + "rank": 80 }, { "arena": "models", "category": "website", - "elo": 1175, + "elo": 1169, "win_rate": 55.3, - "rank": 79 + "rank": 83 } ] }, @@ -3600,86 +3865,86 @@ { "arena": "models", "category": "3d", - "elo": 1211, + "elo": 1193, "win_rate": 58.5, - "rank": 46 + "rank": 51 }, { "arena": "models", "category": "asciiart", - "elo": 1187, + "elo": 1185, "win_rate": 54.8, - "rank": 32 + "rank": 30 }, { "arena": "models", "category": "codecategories", - "elo": 1240, + "elo": 1232, "win_rate": 59.5, - "rank": 46 + "rank": 50 }, { "arena": "models", "category": "dataviz", - "elo": 1243, + "elo": 1240, "win_rate": 58.5, "rank": 38 }, { "arena": "models", "category": "gamedev", - "elo": 1229, + "elo": 1218, "win_rate": 59.3, - "rank": 43 + "rank": 48 }, { "arena": "models", "category": "svg", - "elo": 1177, + "elo": 1170, "win_rate": 58.7, - "rank": 40 + "rank": 41 }, { "arena": "models", "category": "uicomponent", - "elo": 1233, + "elo": 1228, "win_rate": 58.1, - "rank": 47 + "rank": 50 }, { "arena": "models", "category": "website", - "elo": 1245, + "elo": 1239, "win_rate": 59.7, - "rank": 47 + "rank": 51 }, { "arena": "agents", "category": "androidnative", - "elo": 1172, + "elo": 1162, "win_rate": 65.5, - "rank": 20 + "rank": 24 }, { "arena": "agents", "category": "fullstack", - "elo": 1149, + "elo": 1128, "win_rate": 60.1, - "rank": 25 + "rank": 27 }, { "arena": "agents", "category": "mobileapps", - "elo": 1187, + "elo": 1181, "win_rate": 60.7, - "rank": 23 + "rank": 25 }, { "arena": "agents", "category": "webapps", - "elo": 1143, + "elo": 1136, "win_rate": 55.1, - "rank": 31 + "rank": 33 } ] }, @@ -3741,86 +4006,86 @@ { "arena": "models", "category": "3d", - "elo": 1211, + "elo": 1193, "win_rate": 58.5, - "rank": 46 + "rank": 51 }, { "arena": "models", "category": "asciiart", - "elo": 1187, + "elo": 1185, "win_rate": 54.8, - "rank": 32 + "rank": 30 }, { "arena": "models", "category": "codecategories", - "elo": 1240, + "elo": 1232, "win_rate": 59.5, - "rank": 46 + "rank": 50 }, { "arena": "models", "category": "dataviz", - "elo": 1243, + "elo": 1240, "win_rate": 58.5, "rank": 38 }, { "arena": "models", "category": "gamedev", - "elo": 1229, + "elo": 1218, "win_rate": 59.3, - "rank": 43 + "rank": 48 }, { "arena": "models", "category": "svg", - "elo": 1177, + "elo": 1170, "win_rate": 58.7, - "rank": 40 + "rank": 41 }, { "arena": "models", "category": "uicomponent", - "elo": 1233, + "elo": 1228, "win_rate": 58.1, - "rank": 47 + "rank": 50 }, { "arena": "models", "category": "website", - "elo": 1245, + "elo": 1239, "win_rate": 59.7, - "rank": 47 + "rank": 51 }, { "arena": "agents", "category": "androidnative", - "elo": 1172, + "elo": 1162, "win_rate": 65.5, - "rank": 20 + "rank": 24 }, { "arena": "agents", "category": "fullstack", - "elo": 1149, + "elo": 1128, "win_rate": 60.1, - "rank": 25 + "rank": 27 }, { "arena": "agents", "category": "mobileapps", - "elo": 1187, + "elo": 1181, "win_rate": 60.7, - "rank": 23 + "rank": 25 }, { "arena": "agents", "category": "webapps", - "elo": 1143, + "elo": 1136, "win_rate": 55.1, - "rank": 31 + "rank": 33 } ] }, @@ -3891,16 +4156,16 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1143, - "win_rate": 45.3, + "elo": 1140, + "win_rate": 45.5, "rank": 11 }, { "arena": "agents", "category": "androidnative", - "elo": 1190, - "win_rate": 61.8, - "rank": 15 + "elo": 1179, + "win_rate": 60.9, + "rank": 18 }, { "arena": "agents", @@ -3912,100 +4177,100 @@ { "arena": "agents", "category": "codetovideo", - "elo": 1152, - "win_rate": 46.3, - "rank": 13 + "elo": 1106, + "win_rate": 43.3, + "rank": 17 }, { "arena": "agents", "category": "fullstack", - "elo": 1213, - "win_rate": 59.8, - "rank": 14 - }, - { + "elo": 1192, + "win_rate": 59.1, + "rank": 16 + }, + { "arena": "agents", "category": "mobileapps", - "elo": 1207, - "win_rate": 57.9, - "rank": 19 + "elo": 1199, + "win_rate": 57.1, + "rank": 21 }, { "arena": "agents", "category": "pdf", - "elo": 1264, - "win_rate": 59.4, - "rank": 6 + "elo": 1199, + "win_rate": 53.9, + "rank": 16 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1236, - "win_rate": 65.4, - "rank": 9 + "elo": 977, + "win_rate": 20.4, + "rank": 31 }, { "arena": "agents", "category": "webapps", - "elo": 1190, - "win_rate": 56, - "rank": 24 + "elo": 1182, + "win_rate": 55.5, + "rank": 26 }, { "arena": "models", "category": "3d", - "elo": 1271, + "elo": 1254, "win_rate": 62.5, - "rank": 24 + "rank": 26 }, { "arena": "models", "category": "asciiart", - "elo": 1252, + "elo": 1250, "win_rate": 61.9, - "rank": 17 + "rank": 16 }, { "arena": "models", "category": "codecategories", - "elo": 1287, + "elo": 1278, "win_rate": 61.2, - "rank": 22 + "rank": 26 }, { "arena": "models", "category": "dataviz", - "elo": 1279, + "elo": 1277, "win_rate": 58.7, - "rank": 21 + "rank": 20 }, { "arena": "models", "category": "gamedev", - "elo": 1276, + "elo": 1267, "win_rate": 61, - "rank": 22 + "rank": 27 }, { "arena": "models", "category": "svg", - "elo": 1224, + "elo": 1217, "win_rate": 60.9, - "rank": 22 + "rank": 25 }, { "arena": "models", "category": "uicomponent", - "elo": 1278, + "elo": 1274, "win_rate": 59.8, - "rank": 27 + "rank": 31 }, { "arena": "models", "category": "website", - "elo": 1290, + "elo": 1283, "win_rate": 61.1, - "rank": 19 + "rank": 23 } ] }, @@ -4073,16 +4338,16 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1143, - "win_rate": 45.3, + "elo": 1140, + "win_rate": 45.5, "rank": 11 }, { "arena": "agents", "category": "androidnative", - "elo": 1190, - "win_rate": 61.8, - "rank": 15 + "elo": 1179, + "win_rate": 60.9, + "rank": 18 }, { "arena": "agents", @@ -4094,100 +4359,100 @@ { "arena": "agents", "category": "codetovideo", - "elo": 1152, - "win_rate": 46.3, - "rank": 13 + "elo": 1106, + "win_rate": 43.3, + "rank": 17 }, { "arena": "agents", "category": "fullstack", - "elo": 1213, - "win_rate": 59.8, - "rank": 14 + "elo": 1192, + "win_rate": 59.1, + "rank": 16 }, { "arena": "agents", "category": "mobileapps", - "elo": 1207, - "win_rate": 57.9, - "rank": 19 + "elo": 1199, + "win_rate": 57.1, + "rank": 21 }, { "arena": "agents", "category": "pdf", - "elo": 1264, - "win_rate": 59.4, - "rank": 6 + "elo": 1199, + "win_rate": 53.9, + "rank": 16 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1236, - "win_rate": 65.4, - "rank": 9 + "elo": 977, + "win_rate": 20.4, + "rank": 31 }, { "arena": "agents", "category": "webapps", - "elo": 1190, - "win_rate": 56, - "rank": 24 + "elo": 1182, + "win_rate": 55.5, + "rank": 26 }, { "arena": "models", "category": "3d", - "elo": 1271, + "elo": 1254, "win_rate": 62.5, - "rank": 24 + "rank": 26 }, { "arena": "models", "category": "asciiart", - "elo": 1252, + "elo": 1250, "win_rate": 61.9, - "rank": 17 + "rank": 16 }, { "arena": "models", "category": "codecategories", - "elo": 1287, + "elo": 1278, "win_rate": 61.2, - "rank": 22 + "rank": 26 }, { "arena": "models", "category": "dataviz", - "elo": 1279, + "elo": 1277, "win_rate": 58.7, - "rank": 21 + "rank": 20 }, { "arena": "models", "category": "gamedev", - "elo": 1276, + "elo": 1267, "win_rate": 61, - "rank": 22 + "rank": 27 }, { "arena": "models", "category": "svg", - "elo": 1224, + "elo": 1217, "win_rate": 60.9, - "rank": 22 + "rank": 25 }, { "arena": "models", "category": "uicomponent", - "elo": 1278, + "elo": 1274, "win_rate": 59.8, - "rank": 27 + "rank": 31 }, { "arena": "models", "category": "website", - "elo": 1290, + "elo": 1283, "win_rate": 61.1, - "rank": 19 + "rank": 23 } ] }, @@ -4393,8 +4658,8 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1182, - "win_rate": 55.2, + "elo": 1179, + "win_rate": 55.3, "rank": 5 }, { @@ -4428,58 +4693,58 @@ { "arena": "agents", "category": "androidnative", - "elo": 1233, - "win_rate": 56.3, - "rank": 8 + "elo": 1222, + "win_rate": 55.8, + "rank": 11 }, { "arena": "agents", "category": "blender3d", "elo": 1096, "win_rate": 48.2, - "rank": 14 + "rank": 13 }, { "arena": "agents", "category": "codetovideo", "elo": 1187, - "win_rate": 51.6, - "rank": 8 + "win_rate": 54.4, + "rank": 9 }, { "arena": "agents", "category": "fullstack", - "elo": 1242, - "win_rate": 55.2, - "rank": 9 + "elo": 1222, + "win_rate": 55, + "rank": 11 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1231, + "elo": 1211, "win_rate": 55.8, - "rank": 10 + "rank": 11 }, { "arena": "agents", "category": "htmlslides", - "elo": 1117, + "elo": 1116, "win_rate": 58, "rank": 8 }, { "arena": "agents", "category": "mobileapps", - "elo": 1216, - "win_rate": 54, - "rank": 14 + "elo": 1208, + "win_rate": 53.4, + "rank": 17 }, { "arena": "agents", "category": "pdf", - "elo": 1179, - "win_rate": 51.3, - "rank": 16 + "elo": 1161, + "win_rate": 49.7, + "rank": 22 }, { "arena": "agents", @@ -4498,72 +4763,72 @@ { "arena": "agents", "category": "spreadsheet", - "elo": 1214, - "win_rate": 62.5, - "rank": 10 + "elo": 1018, + "win_rate": 24.5, + "rank": 24 }, { "arena": "agents", "category": "webapps", - "elo": 1219, - "win_rate": 51.3, - "rank": 16 + "elo": 1210, + "win_rate": 50.5, + "rank": 18 }, { "arena": "models", "category": "3d", - "elo": 1220, - "win_rate": 51.2, - "rank": 44 + "elo": 1202, + "win_rate": 51, + "rank": 49 }, { "arena": "models", "category": "asciiart", - "elo": 1274, - "win_rate": 62.1, - "rank": 10 + "elo": 1270, + "win_rate": 61.8, + "rank": 9 }, { "arena": "models", "category": "codecategories", - "elo": 1253, - "win_rate": 52.2, - "rank": 41 + "elo": 1243, + "win_rate": 52.1, + "rank": 45 }, { "arena": "models", "category": "dataviz", - "elo": 1239, - "win_rate": 52.7, - "rank": 40 + "elo": 1235, + "win_rate": 52.5, + "rank": 41 }, { "arena": "models", "category": "gamedev", - "elo": 1263, - "win_rate": 52.3, - "rank": 31 + "elo": 1251, + "win_rate": 51.9, + "rank": 37 }, { "arena": "models", "category": "svg", - "elo": 1191, - "win_rate": 51, - "rank": 32 + "elo": 1181, + "win_rate": 50.5, + "rank": 38 }, { "arena": "models", "category": "uicomponent", - "elo": 1255, - "win_rate": 53.1, - "rank": 41 + "elo": 1248, + "win_rate": 52.8, + "rank": 46 }, { "arena": "models", "category": "website", - "elo": 1257, - "win_rate": 52.7, - "rank": 39 + "elo": 1250, + "win_rate": 52.8, + "rank": 43 } ], "artificial_analysis": { @@ -4633,8 +4898,8 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1182, - "win_rate": 55.2, + "elo": 1179, + "win_rate": 55.3, "rank": 5 }, { @@ -4668,58 +4933,58 @@ { "arena": "agents", "category": "androidnative", - "elo": 1233, - "win_rate": 56.3, - "rank": 8 + "elo": 1222, + "win_rate": 55.8, + "rank": 11 }, { "arena": "agents", "category": "blender3d", "elo": 1096, "win_rate": 48.2, - "rank": 14 + "rank": 13 }, { "arena": "agents", "category": "codetovideo", "elo": 1187, - "win_rate": 51.6, - "rank": 8 + "win_rate": 54.4, + "rank": 9 }, { "arena": "agents", "category": "fullstack", - "elo": 1242, - "win_rate": 55.2, - "rank": 9 + "elo": 1222, + "win_rate": 55, + "rank": 11 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1231, + "elo": 1211, "win_rate": 55.8, - "rank": 10 + "rank": 11 }, { "arena": "agents", "category": "htmlslides", - "elo": 1117, + "elo": 1116, "win_rate": 58, "rank": 8 }, { "arena": "agents", "category": "mobileapps", - "elo": 1216, - "win_rate": 54, - "rank": 14 + "elo": 1208, + "win_rate": 53.4, + "rank": 17 }, { "arena": "agents", "category": "pdf", - "elo": 1179, - "win_rate": 51.3, - "rank": 16 + "elo": 1161, + "win_rate": 49.7, + "rank": 22 }, { "arena": "agents", @@ -4738,72 +5003,72 @@ { "arena": "agents", "category": "spreadsheet", - "elo": 1214, - "win_rate": 62.5, - "rank": 10 + "elo": 1018, + "win_rate": 24.5, + "rank": 24 }, { "arena": "agents", "category": "webapps", - "elo": 1219, - "win_rate": 51.3, - "rank": 16 + "elo": 1210, + "win_rate": 50.5, + "rank": 18 }, { "arena": "models", "category": "3d", - "elo": 1220, - "win_rate": 51.2, - "rank": 44 + "elo": 1202, + "win_rate": 51, + "rank": 49 }, { "arena": "models", "category": "asciiart", - "elo": 1274, - "win_rate": 62.1, - "rank": 10 + "elo": 1270, + "win_rate": 61.8, + "rank": 9 }, { "arena": "models", "category": "codecategories", - "elo": 1253, - "win_rate": 52.2, - "rank": 41 + "elo": 1243, + "win_rate": 52.1, + "rank": 45 }, { "arena": "models", "category": "dataviz", - "elo": 1239, - "win_rate": 52.7, - "rank": 40 + "elo": 1235, + "win_rate": 52.5, + "rank": 41 }, { "arena": "models", "category": "gamedev", - "elo": 1263, - "win_rate": 52.3, - "rank": 31 + "elo": 1251, + "win_rate": 51.9, + "rank": 37 }, { "arena": "models", "category": "svg", - "elo": 1191, - "win_rate": 51, - "rank": 32 + "elo": 1181, + "win_rate": 50.5, + "rank": 38 }, { "arena": "models", "category": "uicomponent", - "elo": 1255, - "win_rate": 53.1, - "rank": 41 + "elo": 1248, + "win_rate": 52.8, + "rank": 46 }, { "arena": "models", "category": "website", - "elo": 1257, - "win_rate": 52.7, - "rank": 39 + "elo": 1250, + "win_rate": 52.8, + "rank": 43 } ], "artificial_analysis": { @@ -4879,16 +5144,16 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1206, - "win_rate": 53.1, + "elo": 1199, + "win_rate": 53.3, "rank": 3 }, { "arena": "agents", "category": "androidnative", - "elo": 1255, - "win_rate": 56.1, - "rank": 5 + "elo": 1247, + "win_rate": 56, + "rank": 8 }, { "arena": "agents", @@ -4900,22 +5165,22 @@ { "arena": "agents", "category": "codetovideo", - "elo": 1255, - "win_rate": 62.7, + "elo": 1235, + "win_rate": 62.3, "rank": 4 }, { "arena": "agents", "category": "fullstack", - "elo": 1299, + "elo": 1280, "win_rate": 57.2, - "rank": 5 + "rank": 7 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1279, - "win_rate": 54.6, + "elo": 1257, + "win_rate": 54.5, "rank": 3 }, { @@ -4928,86 +5193,86 @@ { "arena": "agents", "category": "pdf", - "elo": 1234, - "win_rate": 56.2, + "elo": 1236, + "win_rate": 57.6, "rank": 10 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1218, - "win_rate": 54.1, - "rank": 7 + "elo": 1225, + "win_rate": 52.4, + "rank": 8 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1212, - "win_rate": 53.6, - "rank": 11 + "elo": 1227, + "win_rate": 42.7, + "rank": 12 }, { "arena": "agents", "category": "webapps", - "elo": 1255, - "win_rate": 54.6, - "rank": 11 + "elo": 1244, + "win_rate": 53.3, + "rank": 13 }, { "arena": "models", "category": "3d", - "elo": 1333, + "elo": 1321, "win_rate": 59.8, - "rank": 14 + "rank": 16 }, { "arena": "models", "category": "asciiart", - "elo": 1358, + "elo": 1353, "win_rate": 68.6, - "rank": 1 + "rank": 2 }, { "arena": "models", "category": "codecategories", - "elo": 1322, + "elo": 1317, "win_rate": 57.4, - "rank": 10 + "rank": 13 }, { "arena": "models", "category": "dataviz", - "elo": 1330, - "win_rate": 58.4, - "rank": 9 + "elo": 1326, + "win_rate": 58.2, + "rank": 10 }, { "arena": "models", "category": "gamedev", - "elo": 1340, - "win_rate": 58.6, - "rank": 10 + "elo": 1331, + "win_rate": 57.9, + "rank": 12 }, { "arena": "models", "category": "svg", - "elo": 1308, - "win_rate": 58.4, - "rank": 5 + "elo": 1306, + "win_rate": 58.6, + "rank": 6 }, { "arena": "models", "category": "uicomponent", - "elo": 1344, - "win_rate": 60.6, - "rank": 6 + "elo": 1340, + "win_rate": 60.7, + "rank": 10 }, { "arena": "models", "category": "website", - "elo": 1308, - "win_rate": 55.9, - "rank": 11 + "elo": 1304, + "win_rate": 56.2, + "rank": 16 } ], "artificial_analysis": { @@ -5077,16 +5342,16 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1206, - "win_rate": 53.1, + "elo": 1199, + "win_rate": 53.3, "rank": 3 }, { "arena": "agents", "category": "androidnative", - "elo": 1255, - "win_rate": 56.1, - "rank": 5 + "elo": 1247, + "win_rate": 56, + "rank": 8 }, { "arena": "agents", @@ -5098,22 +5363,22 @@ { "arena": "agents", "category": "codetovideo", - "elo": 1255, - "win_rate": 62.7, + "elo": 1235, + "win_rate": 62.3, "rank": 4 }, { "arena": "agents", "category": "fullstack", - "elo": 1299, + "elo": 1280, "win_rate": 57.2, - "rank": 5 + "rank": 7 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1279, - "win_rate": 54.6, + "elo": 1257, + "win_rate": 54.5, "rank": 3 }, { @@ -5126,86 +5391,86 @@ { "arena": "agents", "category": "pdf", - "elo": 1234, - "win_rate": 56.2, + "elo": 1236, + "win_rate": 57.6, "rank": 10 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1218, - "win_rate": 54.1, - "rank": 7 + "elo": 1225, + "win_rate": 52.4, + "rank": 8 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1212, - "win_rate": 53.6, - "rank": 11 + "elo": 1227, + "win_rate": 42.7, + "rank": 12 }, { "arena": "agents", "category": "webapps", - "elo": 1255, - "win_rate": 54.6, - "rank": 11 + "elo": 1244, + "win_rate": 53.3, + "rank": 13 }, { "arena": "models", "category": "3d", - "elo": 1333, + "elo": 1321, "win_rate": 59.8, - "rank": 14 + "rank": 16 }, { "arena": "models", "category": "asciiart", - "elo": 1358, + "elo": 1353, "win_rate": 68.6, - "rank": 1 + "rank": 2 }, { "arena": "models", "category": "codecategories", - "elo": 1322, + "elo": 1317, "win_rate": 57.4, - "rank": 10 + "rank": 13 }, { "arena": "models", "category": "dataviz", - "elo": 1330, - "win_rate": 58.4, - "rank": 9 + "elo": 1326, + "win_rate": 58.2, + "rank": 10 }, { "arena": "models", "category": "gamedev", - "elo": 1340, - "win_rate": 58.6, - "rank": 10 + "elo": 1331, + "win_rate": 57.9, + "rank": 12 }, { "arena": "models", "category": "svg", - "elo": 1308, - "win_rate": 58.4, - "rank": 5 + "elo": 1306, + "win_rate": 58.6, + "rank": 6 }, { "arena": "models", "category": "uicomponent", - "elo": 1344, - "win_rate": 60.6, - "rank": 6 + "elo": 1340, + "win_rate": 60.7, + "rank": 10 }, { "arena": "models", "category": "website", - "elo": 1308, - "win_rate": 55.9, - "rank": 11 + "elo": 1304, + "win_rate": 56.2, + "rank": 16 } ], "artificial_analysis": { @@ -5278,102 +5543,116 @@ ], "benchmarks": { "design_arena": [ + { + "arena": "agents", + "category": "androidnative", + "elo": 1395, + "win_rate": 75.5, + "rank": 1 + }, { "arena": "agents", "category": "blender3d", - "elo": 1274, - "win_rate": 64.7, - "rank": 3 + "elo": 1251, + "win_rate": 57.1, + "rank": 4 }, { "arena": "agents", "category": "codetovideo", - "elo": 1361, - "win_rate": 74.7, + "elo": 1335, + "win_rate": 73.4, "rank": 1 }, { "arena": "agents", - "category": "mobileapps", - "elo": 1306, - "win_rate": 62.5, + "category": "fullstack", + "elo": 1389, + "win_rate": 71.2, "rank": 2 }, + { + "arena": "agents", + "category": "mobileapps", + "elo": 1294, + "win_rate": 61.7, + "rank": 3 + }, { "arena": "agents", "category": "pdf", - "elo": 1323, - "win_rate": 68.5, - "rank": 1 + "elo": 1301, + "win_rate": 67.9, + "rank": 3 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1398, - "win_rate": 68.7, - "rank": 2 + "elo": 1328, + "win_rate": 59.6, + "rank": 4 }, { "arena": "agents", "category": "webapps", - "elo": 1313, - "win_rate": 61.7, - "rank": 2 + "elo": 1321, + "win_rate": 63.2, + "rank": 1 }, { "arena": "models", "category": "3d", - "elo": 1470, - "win_rate": 64.6, - "rank": 1 + "elo": 1461, + "win_rate": 65.2, + "rank": 2 }, { "arena": "models", "category": "asciiart", - "elo": 1355, - "win_rate": 64.2, - "rank": 2 + "elo": 1354, + "win_rate": 64.3, + "rank": 1 }, { "arena": "models", "category": "codecategories", - "elo": 1383, - "win_rate": 60.6, + "elo": 1385, + "win_rate": 60.9, "rank": 2 }, { "arena": "models", "category": "dataviz", - "elo": 1392, - "win_rate": 64.2, + "elo": 1387, + "win_rate": 63.9, "rank": 1 }, { "arena": "models", "category": "gamedev", - "elo": 1433, - "win_rate": 63.9, + "elo": 1427, + "win_rate": 63.7, "rank": 1 }, { "arena": "models", "category": "svg", - "elo": 1323, - "win_rate": 52.7, - "rank": 3 + "elo": 1321, + "win_rate": 53.7, + "rank": 4 }, { "arena": "models", "category": "uicomponent", "elo": 1375, "win_rate": 62.9, - "rank": 4 + "rank": 3 }, { "arena": "models", "category": "website", - "elo": 1325, - "win_rate": 55.3, + "elo": 1326, + "win_rate": 55.5, "rank": 5 } ], @@ -5440,102 +5719,116 @@ "endpoints": ["/api/v1/batches"], "benchmarks": { "design_arena": [ + { + "arena": "agents", + "category": "androidnative", + "elo": 1395, + "win_rate": 75.5, + "rank": 1 + }, { "arena": "agents", "category": "blender3d", - "elo": 1274, - "win_rate": 64.7, - "rank": 3 + "elo": 1251, + "win_rate": 57.1, + "rank": 4 }, { "arena": "agents", "category": "codetovideo", - "elo": 1361, - "win_rate": 74.7, + "elo": 1335, + "win_rate": 73.4, "rank": 1 }, { "arena": "agents", - "category": "mobileapps", - "elo": 1306, - "win_rate": 62.5, + "category": "fullstack", + "elo": 1389, + "win_rate": 71.2, "rank": 2 }, + { + "arena": "agents", + "category": "mobileapps", + "elo": 1294, + "win_rate": 61.7, + "rank": 3 + }, { "arena": "agents", "category": "pdf", - "elo": 1323, - "win_rate": 68.5, - "rank": 1 + "elo": 1301, + "win_rate": 67.9, + "rank": 3 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1398, - "win_rate": 68.7, - "rank": 2 + "elo": 1328, + "win_rate": 59.6, + "rank": 4 }, { "arena": "agents", "category": "webapps", - "elo": 1313, - "win_rate": 61.7, - "rank": 2 + "elo": 1321, + "win_rate": 63.2, + "rank": 1 }, { "arena": "models", "category": "3d", - "elo": 1470, - "win_rate": 64.6, - "rank": 1 + "elo": 1461, + "win_rate": 65.2, + "rank": 2 }, { "arena": "models", "category": "asciiart", - "elo": 1355, - "win_rate": 64.2, - "rank": 2 + "elo": 1354, + "win_rate": 64.3, + "rank": 1 }, { "arena": "models", "category": "codecategories", - "elo": 1383, - "win_rate": 60.6, + "elo": 1385, + "win_rate": 60.9, "rank": 2 }, { "arena": "models", "category": "dataviz", - "elo": 1392, - "win_rate": 64.2, + "elo": 1387, + "win_rate": 63.9, "rank": 1 }, { "arena": "models", "category": "gamedev", - "elo": 1433, - "win_rate": 63.9, + "elo": 1427, + "win_rate": 63.7, "rank": 1 }, { "arena": "models", "category": "svg", - "elo": 1323, - "win_rate": 52.7, - "rank": 3 + "elo": 1321, + "win_rate": 53.7, + "rank": 4 }, { "arena": "models", "category": "uicomponent", "elo": 1375, "win_rate": 62.9, - "rank": 4 + "rank": 3 }, { "arena": "models", "category": "website", - "elo": 1325, - "win_rate": 55.3, + "elo": 1326, + "win_rate": 55.5, "rank": 5 } ], @@ -5629,79 +5922,79 @@ { "arena": "models", "category": "3d", - "elo": 1155, + "elo": 1137, "win_rate": 51, - "rank": 68 + "rank": 75 }, { "arena": "models", "category": "asciiart", - "elo": 1202, + "elo": 1200, "win_rate": 56.1, - "rank": 27 + "rank": 26 }, { "arena": "models", "category": "codecategories", - "elo": 1181, + "elo": 1172, "win_rate": 51.5, - "rank": 67 + "rank": 71 }, { "arena": "models", "category": "dataviz", - "elo": 1167, + "elo": 1164, "win_rate": 47.4, "rank": 74 }, { "arena": "models", "category": "gamedev", - "elo": 1166, + "elo": 1156, "win_rate": 51.1, - "rank": 70 + "rank": 74 }, { "arena": "models", "category": "svg", - "elo": 1111, + "elo": 1104, "win_rate": 52.2, - "rank": 62 + "rank": 65 }, { "arena": "models", "category": "uicomponent", - "elo": 1167, + "elo": 1163, "win_rate": 49.4, - "rank": 72 + "rank": 76 }, { "arena": "models", "category": "website", - "elo": 1188, + "elo": 1181, "win_rate": 51.8, - "rank": 71 + "rank": 76 }, { "arena": "agents", "category": "fullstack", - "elo": 1043, + "elo": 1022, "win_rate": 43.7, - "rank": 36 + "rank": 38 }, { "arena": "agents", "category": "mobileapps", - "elo": 1137, - "win_rate": 52.9, - "rank": 35 + "elo": 1130, + "win_rate": 53, + "rank": 37 }, { "arena": "agents", "category": "webapps", - "elo": 1044, + "elo": 1036, "win_rate": 43.2, - "rank": 41 + "rank": 43 } ], "artificial_analysis": { @@ -5786,79 +6079,79 @@ { "arena": "models", "category": "3d", - "elo": 1155, + "elo": 1137, "win_rate": 51, - "rank": 68 + "rank": 75 }, { "arena": "models", "category": "asciiart", - "elo": 1202, + "elo": 1200, "win_rate": 56.1, - "rank": 27 + "rank": 26 }, { "arena": "models", "category": "codecategories", - "elo": 1181, + "elo": 1172, "win_rate": 51.5, - "rank": 67 + "rank": 71 }, { "arena": "models", "category": "dataviz", - "elo": 1167, + "elo": 1164, "win_rate": 47.4, "rank": 74 }, { "arena": "models", "category": "gamedev", - "elo": 1166, + "elo": 1156, "win_rate": 51.1, - "rank": 70 + "rank": 74 }, { "arena": "models", "category": "svg", - "elo": 1111, + "elo": 1104, "win_rate": 52.2, - "rank": 62 + "rank": 65 }, { "arena": "models", "category": "uicomponent", - "elo": 1167, + "elo": 1163, "win_rate": 49.4, - "rank": 72 + "rank": 76 }, { "arena": "models", "category": "website", - "elo": 1188, + "elo": 1181, "win_rate": 51.8, - "rank": 71 + "rank": 76 }, { "arena": "agents", "category": "fullstack", - "elo": 1043, + "elo": 1022, "win_rate": 43.7, - "rank": 36 + "rank": 38 }, { "arena": "agents", "category": "mobileapps", - "elo": 1137, - "win_rate": 52.9, - "rank": 35 + "elo": 1130, + "win_rate": 53, + "rank": 37 }, { "arena": "agents", "category": "webapps", - "elo": 1044, + "elo": 1036, "win_rate": 43.2, - "rank": 41 + "rank": 43 } ], "artificial_analysis": { @@ -5934,100 +6227,100 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1123, - "win_rate": 52.2, + "elo": 1114, + "win_rate": 51.1, "rank": 17 }, { "arena": "agents", "category": "androidnative", - "elo": 1193, - "win_rate": 62.1, - "rank": 14 + "elo": 1183, + "win_rate": 61.8, + "rank": 17 }, { "arena": "agents", "category": "fullstack", - "elo": 1206, + "elo": 1185, "win_rate": 64.3, - "rank": 15 + "rank": 17 }, { "arena": "agents", "category": "godotgamedev", "elo": 1226, "win_rate": 60.6, - "rank": 12 + "rank": 7 }, { "arena": "agents", "category": "mobileapps", - "elo": 1210, + "elo": 1204, "win_rate": 63.6, - "rank": 17 + "rank": 19 }, { "arena": "agents", "category": "webapps", - "elo": 1174, + "elo": 1167, "win_rate": 57, - "rank": 28 + "rank": 30 }, { "arena": "models", "category": "3d", - "elo": 1231, + "elo": 1214, "win_rate": 57.5, - "rank": 41 + "rank": 46 }, { "arena": "models", "category": "asciiart", - "elo": 1233, + "elo": 1230, "win_rate": 60.1, - "rank": 20 + "rank": 21 }, { "arena": "models", "category": "codecategories", - "elo": 1274, + "elo": 1265, "win_rate": 59.4, - "rank": 26 + "rank": 31 }, { "arena": "models", "category": "dataviz", - "elo": 1278, + "elo": 1275, "win_rate": 58.3, - "rank": 22 + "rank": 23 }, { "arena": "models", "category": "gamedev", - "elo": 1259, + "elo": 1248, "win_rate": 58.8, - "rank": 37 + "rank": 41 }, { "arena": "models", "category": "svg", - "elo": 1193, + "elo": 1186, "win_rate": 58.7, - "rank": 30 + "rank": 33 }, { "arena": "models", "category": "uicomponent", - "elo": 1266, + "elo": 1262, "win_rate": 58.3, - "rank": 33 + "rank": 38 }, { "arena": "models", "category": "website", - "elo": 1283, + "elo": 1277, "win_rate": 60, - "rank": 23 + "rank": 25 } ], "artificial_analysis": { @@ -6098,100 +6391,100 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1123, - "win_rate": 52.2, + "elo": 1114, + "win_rate": 51.1, "rank": 17 }, { "arena": "agents", "category": "androidnative", - "elo": 1193, - "win_rate": 62.1, - "rank": 14 + "elo": 1183, + "win_rate": 61.8, + "rank": 17 }, { "arena": "agents", "category": "fullstack", - "elo": 1206, + "elo": 1185, "win_rate": 64.3, - "rank": 15 + "rank": 17 }, { "arena": "agents", "category": "godotgamedev", "elo": 1226, "win_rate": 60.6, - "rank": 12 + "rank": 7 }, { "arena": "agents", "category": "mobileapps", - "elo": 1210, + "elo": 1204, "win_rate": 63.6, - "rank": 17 + "rank": 19 }, { "arena": "agents", "category": "webapps", - "elo": 1174, + "elo": 1167, "win_rate": 57, - "rank": 28 + "rank": 30 }, { "arena": "models", "category": "3d", - "elo": 1231, + "elo": 1214, "win_rate": 57.5, - "rank": 41 + "rank": 46 }, { "arena": "models", "category": "asciiart", - "elo": 1233, + "elo": 1230, "win_rate": 60.1, - "rank": 20 + "rank": 21 }, { "arena": "models", "category": "codecategories", - "elo": 1274, + "elo": 1265, "win_rate": 59.4, - "rank": 26 + "rank": 31 }, { "arena": "models", "category": "dataviz", - "elo": 1278, + "elo": 1275, "win_rate": 58.3, - "rank": 22 + "rank": 23 }, { "arena": "models", "category": "gamedev", - "elo": 1259, + "elo": 1248, "win_rate": 58.8, - "rank": 37 + "rank": 41 }, { "arena": "models", "category": "svg", - "elo": 1193, + "elo": 1186, "win_rate": 58.7, - "rank": 30 + "rank": 33 }, { "arena": "models", "category": "uicomponent", - "elo": 1266, + "elo": 1262, "win_rate": 58.3, - "rank": 33 + "rank": 38 }, { "arena": "models", "category": "website", - "elo": 1283, + "elo": 1277, "win_rate": 60, - "rank": 23 + "rank": 25 } ], "artificial_analysis": { @@ -6266,142 +6559,142 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1172, - "win_rate": 51.7, + "elo": 1166, + "win_rate": 51.6, "rank": 8 }, { "arena": "agents", "category": "androidnative", - "elo": 1222, - "win_rate": 54, - "rank": 10 + "elo": 1212, + "win_rate": 53.5, + "rank": 12 }, { "arena": "agents", "category": "blender3d", - "elo": 1001, - "win_rate": 35.3, + "elo": 990, + "win_rate": 31.9, "rank": 21 }, { "arena": "agents", "category": "codetovideo", - "elo": 1122, - "win_rate": 41.7, - "rank": 16 + "elo": 1102, + "win_rate": 42.8, + "rank": 18 }, { "arena": "agents", "category": "fullstack", - "elo": 1241, - "win_rate": 53.5, - "rank": 11 + "elo": 1222, + "win_rate": 53.2, + "rank": 12 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1223, - "win_rate": 54.2, - "rank": 14 + "elo": 1201, + "win_rate": 53.9, + "rank": 13 }, { "arena": "agents", "category": "htmlslides", - "elo": 1114, + "elo": 1112, "win_rate": 53.7, "rank": 9 }, { "arena": "agents", "category": "mobileapps", - "elo": 1208, - "win_rate": 50.2, - "rank": 18 + "elo": 1202, + "win_rate": 50.1, + "rank": 20 }, { "arena": "agents", "category": "pdf", - "elo": 1216, - "win_rate": 53.2, - "rank": 12 + "elo": 1210, + "win_rate": 54.3, + "rank": 14 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1170, - "win_rate": 49.9, - "rank": 15 + "elo": 1180, + "win_rate": 49.1, + "rank": 14 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1148, - "win_rate": 50, - "rank": 14 + "elo": 1046, + "win_rate": 29.5, + "rank": 20 }, { "arena": "agents", "category": "webapps", - "elo": 1225, - "win_rate": 52.3, - "rank": 14 + "elo": 1217, + "win_rate": 51.6, + "rank": 16 }, { "arena": "models", "category": "3d", - "elo": 1257, - "win_rate": 53.8, - "rank": 29 + "elo": 1237, + "win_rate": 52.8, + "rank": 36 }, { "arena": "models", "category": "asciiart", - "elo": 1204, - "win_rate": 51, - "rank": 26 + "elo": 1199, + "win_rate": 50.9, + "rank": 27 }, { "arena": "models", "category": "codecategories", - "elo": 1274, + "elo": 1267, "win_rate": 52.5, - "rank": 27 + "rank": 28 }, { "arena": "models", "category": "dataviz", - "elo": 1251, - "win_rate": 52.9, - "rank": 35 + "elo": 1247, + "win_rate": 52.7, + "rank": 36 }, { "arena": "models", "category": "gamedev", - "elo": 1275, - "win_rate": 51.2, - "rank": 24 + "elo": 1271, + "win_rate": 51.4, + "rank": 26 }, { "arena": "models", "category": "svg", - "elo": 1191, - "win_rate": 49.3, - "rank": 33 + "elo": 1183, + "win_rate": 49, + "rank": 37 }, { "arena": "models", "category": "uicomponent", - "elo": 1274, - "win_rate": 53.6, - "rank": 30 + "elo": 1268, + "win_rate": 53.5, + "rank": 35 }, { "arena": "models", "category": "website", - "elo": 1272, - "win_rate": 52.2, - "rank": 28 + "elo": 1268, + "win_rate": 52.5, + "rank": 30 } ], "artificial_analysis": { @@ -6471,142 +6764,142 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1172, - "win_rate": 51.7, + "elo": 1166, + "win_rate": 51.6, "rank": 8 }, { "arena": "agents", "category": "androidnative", - "elo": 1222, - "win_rate": 54, - "rank": 10 + "elo": 1212, + "win_rate": 53.5, + "rank": 12 }, { "arena": "agents", "category": "blender3d", - "elo": 1001, - "win_rate": 35.3, + "elo": 990, + "win_rate": 31.9, "rank": 21 }, { "arena": "agents", "category": "codetovideo", - "elo": 1122, - "win_rate": 41.7, - "rank": 16 + "elo": 1102, + "win_rate": 42.8, + "rank": 18 }, { "arena": "agents", "category": "fullstack", - "elo": 1241, - "win_rate": 53.5, - "rank": 11 + "elo": 1222, + "win_rate": 53.2, + "rank": 12 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1223, - "win_rate": 54.2, - "rank": 14 + "elo": 1201, + "win_rate": 53.9, + "rank": 13 }, { "arena": "agents", "category": "htmlslides", - "elo": 1114, + "elo": 1112, "win_rate": 53.7, "rank": 9 }, { "arena": "agents", "category": "mobileapps", - "elo": 1208, - "win_rate": 50.2, - "rank": 18 + "elo": 1202, + "win_rate": 50.1, + "rank": 20 }, { "arena": "agents", "category": "pdf", - "elo": 1216, - "win_rate": 53.2, - "rank": 12 + "elo": 1210, + "win_rate": 54.3, + "rank": 14 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1170, - "win_rate": 49.9, - "rank": 15 + "elo": 1180, + "win_rate": 49.1, + "rank": 14 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1148, - "win_rate": 50, - "rank": 14 + "elo": 1046, + "win_rate": 29.5, + "rank": 20 }, { "arena": "agents", "category": "webapps", - "elo": 1225, - "win_rate": 52.3, - "rank": 14 + "elo": 1217, + "win_rate": 51.6, + "rank": 16 }, { "arena": "models", "category": "3d", - "elo": 1257, - "win_rate": 53.8, - "rank": 29 + "elo": 1237, + "win_rate": 52.8, + "rank": 36 }, { "arena": "models", "category": "asciiart", - "elo": 1204, - "win_rate": 51, - "rank": 26 + "elo": 1199, + "win_rate": 50.9, + "rank": 27 }, { "arena": "models", "category": "codecategories", - "elo": 1274, + "elo": 1267, "win_rate": 52.5, - "rank": 27 + "rank": 28 }, { "arena": "models", "category": "dataviz", - "elo": 1251, - "win_rate": 52.9, - "rank": 35 + "elo": 1247, + "win_rate": 52.7, + "rank": 36 }, { "arena": "models", "category": "gamedev", - "elo": 1275, - "win_rate": 51.2, - "rank": 24 + "elo": 1271, + "win_rate": 51.4, + "rank": 26 }, { "arena": "models", "category": "svg", - "elo": 1191, - "win_rate": 49.3, - "rank": 33 + "elo": 1183, + "win_rate": 49, + "rank": 37 }, { "arena": "models", "category": "uicomponent", - "elo": 1274, - "win_rate": 53.6, - "rank": 30 + "elo": 1268, + "win_rate": 53.5, + "rank": 35 }, { "arena": "models", "category": "website", - "elo": 1272, - "win_rate": 52.2, - "rank": 28 + "elo": 1268, + "win_rate": 52.5, + "rank": 30 } ], "artificial_analysis": { @@ -6679,89 +6972,103 @@ ], "benchmarks": { "design_arena": [ + { + "arena": "agents", + "category": "androidnative", + "elo": 1251, + "win_rate": 57.1, + "rank": 7 + }, { "arena": "agents", "category": "blender3d", - "elo": 1259, - "win_rate": 64.5, - "rank": 4 + "elo": 1266, + "win_rate": 60.1, + "rank": 3 }, { "arena": "agents", "category": "codetovideo", - "elo": 1338, - "win_rate": 71.2, + "elo": 1310, + "win_rate": 70, "rank": 2 }, { "arena": "agents", "category": "mobileapps", - "elo": 1266, - "win_rate": 57.6, - "rank": 4 + "elo": 1260, + "win_rate": 57.8, + "rank": 6 }, { "arena": "agents", "category": "pdf", - "elo": 1251, - "win_rate": 59.2, + "elo": 1244, + "win_rate": 59.3, "rank": 8 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1294, - "win_rate": 53.5, - "rank": 5 + "elo": 1238, + "win_rate": 45.4, + "rank": 11 }, { "arena": "agents", "category": "webapps", - "elo": 1294, - "win_rate": 60.2, + "elo": 1296, + "win_rate": 58.8, "rank": 4 }, { "arena": "models", "category": "3d", - "elo": 1399, - "win_rate": 52.1, - "rank": 6 + "elo": 1401, + "win_rate": 55, + "rank": 8 }, { "arena": "models", "category": "codecategories", - "elo": 1350, - "win_rate": 56.5, - "rank": 6 + "elo": 1344, + "win_rate": 55.7, + "rank": 9 }, { "arena": "models", "category": "dataviz", - "elo": 1370, - "win_rate": 65.1, - "rank": 2 + "elo": 1359, + "win_rate": 64.3, + "rank": 3 }, { "arena": "models", "category": "gamedev", - "elo": 1407, - "win_rate": 61.9, - "rank": 5 + "elo": 1386, + "win_rate": 59.1, + "rank": 6 + }, + { + "arena": "models", + "category": "svg", + "elo": 1299, + "win_rate": 56.2, + "rank": 7 }, { "arena": "models", "category": "uicomponent", - "elo": 1376, - "win_rate": 63.5, - "rank": 3 + "elo": 1387, + "win_rate": 64.9, + "rank": 2 }, { "arena": "models", "category": "website", - "elo": 1318, - "win_rate": 54.6, - "rank": 6 + "elo": 1309, + "win_rate": 53.4, + "rank": 12 } ], "artificial_analysis": { @@ -6827,89 +7134,103 @@ "endpoints": ["/api/v1/batches"], "benchmarks": { "design_arena": [ + { + "arena": "agents", + "category": "androidnative", + "elo": 1251, + "win_rate": 57.1, + "rank": 7 + }, { "arena": "agents", "category": "blender3d", - "elo": 1259, - "win_rate": 64.5, - "rank": 4 + "elo": 1266, + "win_rate": 60.1, + "rank": 3 }, { "arena": "agents", "category": "codetovideo", - "elo": 1338, - "win_rate": 71.2, + "elo": 1310, + "win_rate": 70, "rank": 2 }, { "arena": "agents", "category": "mobileapps", - "elo": 1266, - "win_rate": 57.6, - "rank": 4 + "elo": 1260, + "win_rate": 57.8, + "rank": 6 }, { "arena": "agents", "category": "pdf", - "elo": 1251, - "win_rate": 59.2, + "elo": 1244, + "win_rate": 59.3, "rank": 8 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1294, - "win_rate": 53.5, - "rank": 5 + "elo": 1238, + "win_rate": 45.4, + "rank": 11 }, { "arena": "agents", "category": "webapps", - "elo": 1294, - "win_rate": 60.2, + "elo": 1296, + "win_rate": 58.8, "rank": 4 }, { "arena": "models", "category": "3d", - "elo": 1399, - "win_rate": 52.1, - "rank": 6 + "elo": 1401, + "win_rate": 55, + "rank": 8 }, { "arena": "models", "category": "codecategories", - "elo": 1350, - "win_rate": 56.5, - "rank": 6 + "elo": 1344, + "win_rate": 55.7, + "rank": 9 }, { "arena": "models", "category": "dataviz", - "elo": 1370, - "win_rate": 65.1, - "rank": 2 + "elo": 1359, + "win_rate": 64.3, + "rank": 3 }, { "arena": "models", "category": "gamedev", - "elo": 1407, - "win_rate": 61.9, - "rank": 5 + "elo": 1386, + "win_rate": 59.1, + "rank": 6 + }, + { + "arena": "models", + "category": "svg", + "elo": 1299, + "win_rate": 56.2, + "rank": 7 }, { "arena": "models", "category": "uicomponent", - "elo": 1376, - "win_rate": 63.5, - "rank": 3 + "elo": 1387, + "win_rate": 64.9, + "rank": 2 }, { "arena": "models", "category": "website", - "elo": 1318, - "win_rate": 54.6, - "rank": 6 + "elo": 1309, + "win_rate": 53.4, + "rank": 12 } ], "artificial_analysis": { @@ -6925,60 +7246,48 @@ } }, { - "id": "bytedance-seed/seed-1.6", - "canonical_slug": "bytedance-seed/seed-1.6-20250625", - "hugging_face_id": "", - "name": "ByteDance Seed: Seed 1.6", - "created": 1766504997, - "description": "Seed 1.6 is a general-purpose model released by the ByteDance Seed team. It incorporates multimodal capabilities and adaptive deep thinking with a 256K context window.", - "context_length": 262144, + "id": "baidu/ernie-5.5-flash-preview:free", + "canonical_slug": "baidu/ernie-5.5-flash-preview-20261110", + "hugging_face_id": "baidu/ERNIE-5.5-Flash-Preview", + "name": "Baidu: ERNIE-5.5-Flash-Preview (free)", + "created": 1794333533, + "description": "ERNIE 5.5 Flash Preview is the latest foundation model in the ERNIE family, with comprehensive improvements in coding, agentic capabilities, knowledge work, and deep research. It has 280 billion total...", + "context_length": 1024000, "architecture": { - "modality": "text+image+video->text", - "input_modalities": ["image", "text", "video"], + "modality": "text->text", + "input_modalities": ["text"], "output_modalities": ["text"], "tokenizer": "Other", "instruct_type": null }, "pricing": { - "prompt": "0.00000025", - "completion": "0.000002", - "overrides": [ - { - "min_prompt_tokens": 128000, - "prompt": "0.0000005", - "completion": "0.000004" - } - ] + "prompt": "0", + "completion": "0" }, "top_provider": { - "context_length": 262144, - "max_completion_tokens": 32768, + "context_length": 1024000, + "max_completion_tokens": 921600, "is_moderated": false }, "per_request_limits": null, "supported_parameters": [ - "frequency_penalty", "include_reasoning", "max_tokens", "reasoning", + "reasoning_effort", "response_format", - "stop", "structured_outputs", "temperature", "tool_choice", "tools", "top_p" ], - "default_parameters": { - "temperature": null, - "top_p": null, - "frequency_penalty": null - }, + "default_parameters": {}, "supported_voices": null, "knowledge_cutoff": null, - "expiration_date": "2026-11-11", + "expiration_date": null, "links": { - "details": "/api/v1/models/bytedance-seed/seed-1.6-20250625/endpoints" + "details": "/api/v1/models/baidu/ernie-5.5-flash-preview-20261110/endpoints" }, "endpoints": [ "/api/v1/chat/completions", @@ -6987,64 +7296,56 @@ "/api/v1/responses" ], "reasoning": { - "mandatory": false + "mandatory": true, + "default_enabled": true, + "supported_efforts": ["high"], + "default_effort": "high" } }, { - "id": "bytedance-seed/seed-1.6-flash", - "canonical_slug": "bytedance-seed/seed-1.6-flash-20250625", - "hugging_face_id": "", - "name": "ByteDance Seed: Seed 1.6 Flash", - "created": 1766505011, - "description": "Seed 1.6 Flash is an ultra-fast multimodal deep thinking model by ByteDance Seed, supporting both text and visual understanding. It features a 256k context window and can generate outputs of...", - "context_length": 262144, + "id": "baidu/ernie-light-dt-1.0-intl", + "canonical_slug": "baidu/ernie-light-dt-1.0-intl-20261110", + "hugging_face_id": null, + "name": "Baidu: ERNIE-Light-DT-1.0", + "created": 1794331260, + "description": "ERNIE-Light-DT-1.0 is based on open-source GLM models and includes research findings from Baidu Search's Lightning large model. It features Baidu Sparse Attention (BSA), a unique sparse attention mechanism developed by...", + "context_length": 1024000, "architecture": { - "modality": "text+image+video->text", - "input_modalities": ["image", "text", "video"], + "modality": "text->text", + "input_modalities": ["text"], "output_modalities": ["text"], "tokenizer": "Other", "instruct_type": null }, "pricing": { - "prompt": "0.000000075", - "completion": "0.0000003", - "overrides": [ - { - "min_prompt_tokens": 128000, - "prompt": "0.0000001", - "completion": "0.0000008" - } - ] + "prompt": "0.00000113", + "completion": "0.00000394", + "input_cache_read": "0.000000113" }, "top_provider": { - "context_length": 262144, - "max_completion_tokens": 32768, + "context_length": 1024000, + "max_completion_tokens": 131072, "is_moderated": false }, "per_request_limits": null, "supported_parameters": [ - "frequency_penalty", "include_reasoning", "max_tokens", "reasoning", + "reasoning_effort", "response_format", - "stop", "structured_outputs", "temperature", "tool_choice", "tools", "top_p" ], - "default_parameters": { - "temperature": null, - "top_p": null, - "frequency_penalty": null - }, + "default_parameters": {}, "supported_voices": null, "knowledge_cutoff": null, - "expiration_date": "2026-11-11", + "expiration_date": null, "links": { - "details": "/api/v1/models/bytedance-seed/seed-1.6-flash-20250625/endpoints" + "details": "/api/v1/models/baidu/ernie-light-dt-1.0-intl-20261110/endpoints" }, "endpoints": [ "/api/v1/chat/completions", @@ -7053,7 +7354,10 @@ "/api/v1/responses" ], "reasoning": { - "mandatory": false + "mandatory": false, + "default_enabled": true, + "supported_efforts": ["max", "high", "low", "none"], + "default_effort": "max" } }, { @@ -7111,71 +7415,6 @@ "mandatory": false } }, - { - "id": "bytedance-seed/seed-2.0-code", - "canonical_slug": "bytedance-seed/seed-2.0-code-20260730", - "hugging_face_id": null, - "name": "ByteDance Seed: Seed-2.0-Code", - "created": 1786550701, - "description": "Seed 2.0 Code is a model from ByteDance Seed optimized for agentic coding. It is suited for frontend development, multilingual programming tasks, and coding-agent workflows in tools such as Claude...", - "context_length": 262144, - "architecture": { - "modality": "text+image+video->text", - "input_modalities": ["text", "image", "video"], - "output_modalities": ["text"], - "tokenizer": "Other", - "instruct_type": null - }, - "pricing": { - "prompt": "0.0000005", - "completion": "0.000003", - "overrides": [ - { - "min_prompt_tokens": 128000, - "prompt": "0.000001", - "completion": "0.000006" - } - ] - }, - "top_provider": { - "context_length": 262144, - "max_completion_tokens": 131072, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "frequency_penalty", - "include_reasoning", - "max_tokens", - "reasoning", - "reasoning_effort", - "response_format", - "stop", - "structured_outputs", - "temperature", - "tool_choice", - "tools", - "top_p" - ], - "default_parameters": {}, - "supported_voices": null, - "knowledge_cutoff": null, - "expiration_date": "2026-11-11", - "links": { - "details": "/api/v1/models/bytedance-seed/seed-2.0-code-20260730/endpoints" - }, - "endpoints": [ - "/api/v1/chat/completions", - "/api/v1/completions", - "/api/v1/messages", - "/api/v1/responses" - ], - "reasoning": { - "mandatory": false, - "supported_efforts": ["high", "medium", "low", "none"], - "default_effort": "medium" - } - }, { "id": "bytedance-seed/seed-2.0-lite", "canonical_slug": "bytedance-seed/seed-2.0-lite-20260309", @@ -7455,6 +7694,8 @@ "stop", "structured_outputs", "temperature", + "tool_choice", + "tools", "top_k", "top_p" ], @@ -7475,7 +7716,7 @@ { "id": "cohere/command-a-plus", "canonical_slug": "cohere/command-a-plus-05-2026", - "hugging_face_id": null, + "hugging_face_id": "CohereLabs/command-a-plus-05-2026-bf16", "name": "Cohere: Command A+", "created": 1790102896, "description": "Command A+ is Cohere's flagship model for enterprise agentic workflows. It accepts text and image inputs with a 192K context window, supports native tool calling with strict tool schemas, structured...", @@ -7509,6 +7750,7 @@ "stop", "structured_outputs", "temperature", + "tool_choice", "tools", "top_k", "top_p" @@ -7541,7 +7783,7 @@ { "id": "cohere/command-r-08-2024", "canonical_slug": "cohere/command-r-08-2024", - "hugging_face_id": null, + "hugging_face_id": "CohereLabs/c4ai-command-r-08-2024", "name": "Cohere: Command R (08-2024)", "created": 1724976000, "description": "command-r-08-2024 is an update of the [Command R](/models/cohere/command-r) with improved performance for multilingual retrieval-augmented generation (RAG) and tool use. More broadly, it is better at math, code and reasoning and...", @@ -7594,7 +7836,7 @@ { "id": "cohere/command-r-plus-08-2024", "canonical_slug": "cohere/command-r-plus-08-2024", - "hugging_face_id": null, + "hugging_face_id": "CohereLabs/c4ai-command-r-plus-08-2024", "name": "Cohere: Command R+ (08-2024)", "created": 1724976000, "description": "command-r-plus-08-2024 is an update of the [Command R+](/models/cohere/command-r-plus) with roughly 50% higher throughput and 25% lower latencies as compared to the previous Command R+ version, while keeping the hardware footprint...", @@ -7647,7 +7889,7 @@ { "id": "cohere/command-r7b-12-2024", "canonical_slug": "cohere/command-r7b-12-2024", - "hugging_face_id": "", + "hugging_face_id": "CohereLabs/c4ai-command-r7b-12-2024", "name": "Cohere: Command R7B (12-2024)", "created": 1734158152, "description": "Command R7B (12-2024) is a small, fast update of the Command R+ model, delivered in December 2024. It excels at RAG, tool use, agents, and similar tasks requiring complex reasoning...", @@ -7678,6 +7920,8 @@ "stop", "structured_outputs", "temperature", + "tool_choice", + "tools", "top_k", "top_p" ], @@ -7757,7 +8001,7 @@ "benchmarks": { "design_arena": [], "artificial_analysis": { - "intelligence_index": null, + "intelligence_index": 3.4, "coding_index": 36.5, "agentic_index": 1.1 } @@ -7826,51 +8070,51 @@ { "arena": "models", "category": "3d", - "elo": 1084, + "elo": 1067, "win_rate": 50.5, - "rank": 93 + "rank": 102 }, { "arena": "models", "category": "codecategories", - "elo": 1106, + "elo": 1098, "win_rate": 48.4, - "rank": 106 + "rank": 111 }, { "arena": "models", "category": "dataviz", - "elo": 1089, + "elo": 1086, "win_rate": 50, - "rank": 104 + "rank": 105 }, { "arena": "models", "category": "gamedev", - "elo": 1053, + "elo": 1043, "win_rate": 43.7, - "rank": 113 + "rank": 118 }, { "arena": "models", "category": "svg", - "elo": 973, + "elo": 965, "win_rate": 38.8, - "rank": 94 + "rank": 97 }, { "arena": "models", "category": "uicomponent", - "elo": 1088, + "elo": 1083, "win_rate": 52.7, - "rank": 103 + "rank": 106 }, { "arena": "models", "category": "website", - "elo": 1118, + "elo": 1112, "win_rate": 48.5, - "rank": 105 + "rank": 109 } ] } @@ -8002,51 +8246,51 @@ { "arena": "models", "category": "3d", - "elo": 1074, + "elo": 1057, "win_rate": 47.9, - "rank": 101 + "rank": 109 }, { "arena": "models", "category": "codecategories", - "elo": 1110, + "elo": 1101, "win_rate": 47.8, - "rank": 104 + "rank": 109 }, { "arena": "models", "category": "dataviz", - "elo": 1096, + "elo": 1093, "win_rate": 46.2, - "rank": 103 + "rank": 104 }, { "arena": "models", "category": "gamedev", - "elo": 1084, + "elo": 1073, "win_rate": 47.1, - "rank": 104 + "rank": 108 }, { "arena": "models", "category": "svg", - "elo": 963, + "elo": 956, "win_rate": 38.2, - "rank": 95 + "rank": 98 }, { "arena": "models", "category": "uicomponent", - "elo": 1080, + "elo": 1075, "win_rate": 47.1, - "rank": 105 + "rank": 109 }, { "arena": "models", "category": "website", - "elo": 1122, + "elo": 1114, "win_rate": 48, - "rank": 104 + "rank": 108 } ] }, @@ -8123,51 +8367,51 @@ { "arena": "models", "category": "3d", - "elo": 1108, + "elo": 1091, "win_rate": 53.3, - "rank": 89 + "rank": 95 }, { "arena": "models", "category": "codecategories", - "elo": 1137, + "elo": 1128, "win_rate": 52.6, - "rank": 96 + "rank": 100 }, { "arena": "models", "category": "dataviz", - "elo": 1182, + "elo": 1179, "win_rate": 60.9, "rank": 65 }, { "arena": "models", "category": "gamedev", - "elo": 1097, + "elo": 1087, "win_rate": 49.3, - "rank": 99 + "rank": 103 }, { "arena": "models", "category": "svg", - "elo": 1035, + "elo": 1028, "win_rate": 48.7, - "rank": 81 + "rank": 85 }, { "arena": "models", "category": "uicomponent", - "elo": 1097, + "elo": 1093, "win_rate": 54.9, - "rank": 97 + "rank": 101 }, { "arena": "models", "category": "website", - "elo": 1149, + "elo": 1141, "win_rate": 52.7, - "rank": 93 + "rank": 99 } ] }, @@ -8235,51 +8479,51 @@ { "arena": "models", "category": "3d", - "elo": 1138, + "elo": 1120, "win_rate": 56, - "rank": 73 + "rank": 81 }, { "arena": "models", "category": "codecategories", - "elo": 1173, + "elo": 1165, "win_rate": 56, - "rank": 73 + "rank": 77 }, { "arena": "models", "category": "dataviz", - "elo": 1168, + "elo": 1165, "win_rate": 53.4, "rank": 73 }, { "arena": "models", "category": "gamedev", - "elo": 1129, + "elo": 1120, "win_rate": 52.5, - "rank": 89 + "rank": 93 }, { "arena": "models", "category": "svg", - "elo": 1061, + "elo": 1054, "win_rate": 50.1, - "rank": 77 + "rank": 80 }, { "arena": "models", "category": "uicomponent", - "elo": 1177, + "elo": 1173, "win_rate": 59.5, - "rank": 68 + "rank": 72 }, { "arena": "models", "category": "website", - "elo": 1185, + "elo": 1179, "win_rate": 56.4, - "rank": 73 + "rank": 77 } ], "artificial_analysis": { @@ -8364,58 +8608,58 @@ { "arena": "models", "category": "3d", - "elo": 1130, + "elo": 1112, "win_rate": 49.4, - "rank": 78 + "rank": 86 }, { "arena": "models", "category": "asciiart", - "elo": 1080, + "elo": 1077, "win_rate": 40.5, "rank": 68 }, { "arena": "models", "category": "codecategories", - "elo": 1162, + "elo": 1153, "win_rate": 49.3, - "rank": 82 + "rank": 88 }, { "arena": "models", "category": "dataviz", - "elo": 1158, + "elo": 1156, "win_rate": 48.2, "rank": 79 }, { "arena": "models", "category": "gamedev", - "elo": 1130, + "elo": 1121, "win_rate": 46.5, - "rank": 88 + "rank": 92 }, { "arena": "models", "category": "svg", - "elo": 1029, + "elo": 1021, "win_rate": 40.8, - "rank": 84 + "rank": 87 }, { "arena": "models", "category": "uicomponent", - "elo": 1144, + "elo": 1139, "win_rate": 46.8, - "rank": 82 + "rank": 87 }, { "arena": "models", "category": "website", - "elo": 1173, + "elo": 1167, "win_rate": 50.2, - "rank": 81 + "rank": 84 } ], "artificial_analysis": { @@ -8489,51 +8733,51 @@ { "arena": "models", "category": "3d", - "elo": 1145, + "elo": 1128, "win_rate": 56.4, - "rank": 71 + "rank": 78 }, { "arena": "models", "category": "codecategories", - "elo": 1170, + "elo": 1160, "win_rate": 54.2, - "rank": 74 + "rank": 79 }, { "arena": "models", "category": "dataviz", - "elo": 1152, + "elo": 1149, "win_rate": 50.6, "rank": 82 }, { "arena": "models", "category": "gamedev", - "elo": 1144, + "elo": 1134, "win_rate": 53, - "rank": 77 + "rank": 81 }, { "arena": "models", "category": "svg", - "elo": 1028, + "elo": 1021, "win_rate": 42, - "rank": 85 + "rank": 88 }, { "arena": "models", "category": "uicomponent", - "elo": 1161, + "elo": 1157, "win_rate": 53.3, - "rank": 74 + "rank": 78 }, { "arena": "models", "category": "website", - "elo": 1177, + "elo": 1171, "win_rate": 54.3, - "rank": 77 + "rank": 82 } ] }, @@ -8557,13 +8801,13 @@ "instruct_type": null }, "pricing": { - "prompt": "0.000000091", - "completion": "0.000000182", - "input_cache_read": "0.0000000182" + "prompt": "0.00000009", + "completion": "0.00000018", + "input_cache_read": "0.000000018" }, "top_provider": { - "context_length": 1048575, - "max_completion_tokens": 943717, + "context_length": 1048576, + "max_completion_tokens": 393216, "is_moderated": false }, "per_request_limits": null, @@ -8609,58 +8853,58 @@ { "arena": "models", "category": "3d", - "elo": 1186, + "elo": 1169, "win_rate": 49.3, - "rank": 57 + "rank": 63 }, { "arena": "models", "category": "asciiart", - "elo": 1107, + "elo": 1104, "win_rate": 42.7, "rank": 61 }, { "arena": "models", "category": "codecategories", - "elo": 1204, + "elo": 1195, "win_rate": 48.9, - "rank": 62 + "rank": 66 }, { "arena": "models", "category": "dataviz", - "elo": 1127, + "elo": 1124, "win_rate": 40.7, - "rank": 93 + "rank": 94 }, { "arena": "models", "category": "gamedev", - "elo": 1197, + "elo": 1186, "win_rate": 50.2, - "rank": 58 + "rank": 62 }, { "arena": "models", "category": "svg", - "elo": 1152, + "elo": 1145, "win_rate": 48.4, - "rank": 47 + "rank": 50 }, { "arena": "models", "category": "uicomponent", - "elo": 1159, + "elo": 1155, "win_rate": 44.7, - "rank": 77 + "rank": 81 }, { "arena": "models", "category": "website", - "elo": 1206, + "elo": 1199, "win_rate": 49.1, - "rank": 63 + "rank": 67 } ], "artificial_analysis": { @@ -8691,7 +8935,7 @@ "instruct_type": null }, "pricing": { - "prompt": "0.000000059", + "prompt": "0.0000000434", "completion": "0.0000003", "input_cache_read": "0.000000035" }, @@ -8743,58 +8987,184 @@ { "arena": "models", "category": "3d", - "elo": 1205, - "win_rate": 48.7, - "rank": 48 + "elo": 1188, + "win_rate": 48.8, + "rank": 55 }, { "arena": "models", "category": "asciiart", - "elo": 1088, - "win_rate": 33.3, - "rank": 67 + "elo": 1092, + "win_rate": 34, + "rank": 65 }, { "arena": "models", "category": "codecategories", - "elo": 1228, - "win_rate": 46.4, - "rank": 53 + "elo": 1219, + "win_rate": 46.5, + "rank": 59 }, { "arena": "models", "category": "dataviz", - "elo": 1180, - "win_rate": 41.1, - "rank": 66 + "elo": 1169, + "win_rate": 40, + "rank": 72 }, { "arena": "models", "category": "gamedev", - "elo": 1207, - "win_rate": 44.6, - "rank": 53 + "elo": 1198, + "win_rate": 44.8, + "rank": 58 }, { "arena": "models", "category": "svg", - "elo": 1180, - "win_rate": 45.1, - "rank": 37 + "elo": 1170, + "win_rate": 44.7, + "rank": 42 }, { "arena": "models", "category": "uicomponent", + "elo": 1227, + "win_rate": 47.1, + "rank": 51 + }, + { + "arena": "models", + "category": "website", "elo": 1230, "win_rate": 46.8, + "rank": 57 + } + ], + "artificial_analysis": { + "intelligence_index": null, + "coding_index": 69.1, + "agentic_index": 41 + } + }, + "reasoning": { + "mandatory": false, + "default_enabled": true, + "supported_efforts": ["max", "high", "low", "none"], + "default_effort": "high" + } + }, + { + "id": "deepseek/deepseek-v4-flash-0731:batch", + "canonical_slug": "deepseek/deepseek-v4-flash-20260731", + "hugging_face_id": "deepseek-ai/DeepSeek-V4-Flash-0731", + "name": "DeepSeek: DeepSeek V4 Flash 0731 (batch)", + "created": 1785478908, + "description": "DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....", + "context_length": 1048576, + "architecture": { + "modality": "text->text", + "input_modalities": ["text"], + "output_modalities": ["text"], + "tokenizer": "DeepSeek", + "instruct_type": null + }, + "pricing": { + "prompt": "0.000000048", + "completion": "0.000000144", + "input_cache_read": "0.000000012" + }, + "top_provider": { + "context_length": 1048576, + "max_completion_tokens": 384000, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "frequency_penalty", + "include_reasoning", + "logit_bias", + "max_tokens", + "min_p", + "presence_penalty", + "reasoning", + "reasoning_effort", + "repetition_penalty", + "response_format", + "seed", + "stop", + "structured_outputs", + "temperature", + "tool_choice", + "tools", + "top_k", + "top_p" + ], + "default_parameters": {}, + "supported_voices": [], + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/deepseek/deepseek-v4-flash-20260731/endpoints" + }, + "endpoints": ["/api/v1/batches"], + "benchmarks": { + "design_arena": [ + { + "arena": "models", + "category": "3d", + "elo": 1188, + "win_rate": 48.8, + "rank": 55 + }, + { + "arena": "models", + "category": "asciiart", + "elo": 1092, + "win_rate": 34, + "rank": 65 + }, + { + "arena": "models", + "category": "codecategories", + "elo": 1219, + "win_rate": 46.5, + "rank": 59 + }, + { + "arena": "models", + "category": "dataviz", + "elo": 1169, + "win_rate": 40, + "rank": 72 + }, + { + "arena": "models", + "category": "gamedev", + "elo": 1198, + "win_rate": 44.8, + "rank": 58 + }, + { + "arena": "models", + "category": "svg", + "elo": 1170, + "win_rate": 44.7, + "rank": 42 + }, + { + "arena": "models", + "category": "uicomponent", + "elo": 1227, + "win_rate": 47.1, "rank": 51 }, { "arena": "models", "category": "website", - "elo": 1236, - "win_rate": 46.7, - "rank": 51 + "elo": 1230, + "win_rate": 46.8, + "rank": 57 } ], "artificial_analysis": { @@ -8902,13 +9272,13 @@ "instruct_type": null }, "pricing": { - "prompt": "0.00000095526", - "completion": "0.00000191052", - "input_cache_read": "0.000000079605" + "prompt": "0.0000009", + "completion": "0.0000015", + "input_cache_read": "0.00000025" }, "top_provider": { - "context_length": 1024000, - "max_completion_tokens": 384000, + "context_length": 1048576, + "max_completion_tokens": 393216, "is_moderated": false }, "per_request_limits": null, @@ -8958,7 +9328,7 @@ "category": "fullstack", "elo": 948, "win_rate": 22.1, - "rank": 44 + "rank": 46 }, { "arena": "agents", @@ -8972,67 +9342,67 @@ "category": "webapps", "elo": 1000, "win_rate": 26.4, - "rank": 46 + "rank": 47 }, { "arena": "models", "category": "3d", - "elo": 1251, + "elo": 1233, "win_rate": 56.8, - "rank": 33 + "rank": 38 }, { "arena": "models", "category": "asciiart", - "elo": 1146, + "elo": 1143, "win_rate": 46.4, - "rank": 47 + "rank": 46 }, { "arena": "models", "category": "codecategories", - "elo": 1238, - "win_rate": 51.9, - "rank": 47 + "elo": 1231, + "win_rate": 52.2, + "rank": 51 }, { "arena": "models", "category": "dataviz", - "elo": 1203, - "win_rate": 48.7, - "rank": 59 + "elo": 1200, + "win_rate": 48.8, + "rank": 60 }, { "arena": "models", "category": "gamedev", - "elo": 1229, - "win_rate": 52.3, - "rank": 44 + "elo": 1221, + "win_rate": 53, + "rank": 47 }, { "arena": "models", "category": "svg", - "elo": 1136, - "win_rate": 45.4, - "rank": 55 + "elo": 1128, + "win_rate": 45.5, + "rank": 58 }, { "arena": "models", "category": "uicomponent", - "elo": 1216, + "elo": 1211, "win_rate": 50.6, - "rank": 55 + "rank": 58 }, { "arena": "models", "category": "website", - "elo": 1233, - "win_rate": 50.5, - "rank": 53 + "elo": 1227, + "win_rate": 50.9, + "rank": 58 } ], "artificial_analysis": { - "intelligence_index": 12.6, + "intelligence_index": 20.8, "coding_index": null, "agentic_index": null } @@ -9059,9 +9429,9 @@ "instruct_type": null }, "pricing": { - "prompt": "0.000000103", - "completion": "0.00000411", - "input_cache_read": "0.000000098" + "prompt": "0.000000111", + "completion": "0.00000444", + "input_cache_read": "0.000000097" }, "top_provider": { "context_length": 1048576, @@ -9137,13 +9507,13 @@ "instruct_type": null }, "pricing": { - "prompt": "0.000000045", - "completion": "0.0000005", - "input_cache_read": "0.000000018" + "prompt": "0.0000000507", + "completion": "0.0000002028", + "input_cache_read": "0.000000001014" }, "top_provider": { "context_length": 1048576, - "max_completion_tokens": 943718, + "max_completion_tokens": 393216, "is_moderated": false }, "per_request_limits": null, @@ -9207,61 +9577,155 @@ "instruct_type": null }, "pricing": { - "prompt": "0.0000003", - "completion": "0.0000012", - "input_cache_read": "0.000000006", - "overrides": [ + "prompt": "0.000000038", + "completion": "0.0000005", + "input_cache_read": "0.00000001" + }, + "top_provider": { + "context_length": 1048576, + "max_completion_tokens": 943718, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "frequency_penalty", + "include_reasoning", + "logit_bias", + "logprobs", + "max_completion_tokens", + "max_tokens", + "min_p", + "parallel_tool_calls", + "presence_penalty", + "reasoning", + "reasoning_effort", + "repetition_penalty", + "response_format", + "seed", + "stop", + "structured_outputs", + "temperature", + "tool_choice", + "tools", + "top_k", + "top_logprobs", + "top_p" + ], + "default_parameters": {}, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/deepseek/deepseek-v4.1-flash-20261017/endpoints" + }, + "endpoints": [ + "/api/v1/chat/completions", + "/api/v1/completions", + "/api/v1/messages", + "/api/v1/responses" + ], + "benchmarks": { + "design_arena": [ { - "utc_days": ["saturday", "sunday"], - "prompt": "0.00000015", - "completion": "0.0000006", - "input_cache_read": "0.000000003" + "arena": "agents", + "category": "spreadsheet", + "elo": 1263, + "win_rate": 48.4, + "rank": 8 }, { - "utc_days": ["monday", "tuesday", "wednesday", "thursday", "friday"], - "utc_start": 0, - "utc_end": 100, - "prompt": "0.00000015", - "completion": "0.0000006", - "input_cache_read": "0.000000003" + "arena": "models", + "category": "3d", + "elo": 1343, + "win_rate": 47.3, + "rank": 13 }, { - "utc_days": ["monday", "tuesday", "wednesday", "thursday", "friday"], - "utc_start": 100, - "utc_end": 400, - "prompt": "0.0000003", - "completion": "0.0000012", - "input_cache_read": "0.000000006" + "arena": "models", + "category": "asciiart", + "elo": 1231, + "win_rate": 47.6, + "rank": 20 }, { - "utc_days": ["monday", "tuesday", "wednesday", "thursday", "friday"], - "utc_start": 400, - "utc_end": 600, - "prompt": "0.00000015", - "completion": "0.0000006", - "input_cache_read": "0.000000003" + "arena": "models", + "category": "codecategories", + "elo": 1286, + "win_rate": 48.2, + "rank": 21 }, { - "utc_days": ["monday", "tuesday", "wednesday", "thursday", "friday"], - "utc_start": 600, - "utc_end": 1000, - "prompt": "0.0000003", - "completion": "0.0000012", - "input_cache_read": "0.000000006" + "arena": "models", + "category": "dataviz", + "elo": 1264, + "win_rate": 50.3, + "rank": 27 }, { - "utc_days": ["monday", "tuesday", "wednesday", "thursday", "friday"], - "utc_start": 1000, - "utc_end": 0, - "prompt": "0.00000015", - "completion": "0.0000006", - "input_cache_read": "0.000000003" + "arena": "models", + "category": "gamedev", + "elo": 1251, + "win_rate": 42.8, + "rank": 38 + }, + { + "arena": "models", + "category": "svg", + "elo": 1245, + "win_rate": 51.6, + "rank": 19 + }, + { + "arena": "models", + "category": "uicomponent", + "elo": 1283, + "win_rate": 48.6, + "rank": 27 + }, + { + "arena": "models", + "category": "website", + "elo": 1294, + "win_rate": 51.7, + "rank": 18 } - ] + ], + "artificial_analysis": { + "intelligence_index": 28.6, + "coding_index": null, + "agentic_index": null + } + }, + "reasoning": { + "mandatory": false, + "default_enabled": true, + "supported_efforts": ["max", "high", "low", "none"], + "default_effort": "high" + } + }, + { + "id": "deepseek/deepseek-v4.1-flash-1017:batch", + "canonical_slug": "deepseek/deepseek-v4.1-flash-20261017", + "hugging_face_id": "deepseek-ai/DeepSeek-V4.1-Flash-1017", + "name": "DeepSeek: DeepSeek V4.1 Flash 1017 (batch)", + "created": 1792225624, + "description": "DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name. V4.1 Flash is a sparse mixture-of-experts model...", + "context_length": 1048576, + "architecture": { + "modality": "text+image->text", + "input_modalities": ["text", "image"], + "output_modalities": ["text"], + "tokenizer": "DeepSeek", + "instruct_type": null + }, + "pricing": { + "prompt": "0.00000005", + "completion": "0.00000015", + "input_cache_read": "0.000000004" }, "top_provider": { "context_length": 1048576, - "max_completion_tokens": 393216, + "max_completion_tokens": 384000, "is_moderated": false }, "per_request_limits": null, @@ -9270,10 +9734,8 @@ "include_reasoning", "logit_bias", "logprobs", - "max_completion_tokens", "max_tokens", "min_p", - "parallel_tool_calls", "presence_penalty", "reasoning", "reasoning_effort", @@ -9296,76 +9758,71 @@ "links": { "details": "/api/v1/models/deepseek/deepseek-v4.1-flash-20261017/endpoints" }, - "endpoints": [ - "/api/v1/chat/completions", - "/api/v1/completions", - "/api/v1/messages", - "/api/v1/responses" - ], + "endpoints": ["/api/v1/batches"], "benchmarks": { "design_arena": [ { "arena": "agents", "category": "spreadsheet", - "elo": 1288, - "win_rate": 51.2, - "rank": 6 + "elo": 1263, + "win_rate": 48.4, + "rank": 8 }, { "arena": "models", "category": "3d", - "elo": 1360, - "win_rate": 47.6, - "rank": 10 + "elo": 1343, + "win_rate": 47.3, + "rank": 13 }, { "arena": "models", "category": "asciiart", - "elo": 1225, - "win_rate": 48.2, - "rank": 21 + "elo": 1231, + "win_rate": 47.6, + "rank": 20 }, { "arena": "models", "category": "codecategories", - "elo": 1290, - "win_rate": 48.6, - "rank": 19 + "elo": 1286, + "win_rate": 48.2, + "rank": 21 }, { "arena": "models", "category": "dataviz", - "elo": 1263, - "win_rate": 50, - "rank": 30 + "elo": 1264, + "win_rate": 50.3, + "rank": 27 }, { "arena": "models", "category": "gamedev", - "elo": 1261, - "win_rate": 43.7, - "rank": 36 + "elo": 1251, + "win_rate": 42.8, + "rank": 38 }, { "arena": "models", "category": "svg", - "elo": 1252, - "win_rate": 52.3, - "rank": 16 + "elo": 1245, + "win_rate": 51.6, + "rank": 19 }, { "arena": "models", "category": "uicomponent", - "elo": 1301, - "win_rate": 50.5, - "rank": 18 + "elo": 1283, + "win_rate": 48.6, + "rank": 27 }, { "arena": "models", "category": "website", - "elo": 1296, - "win_rate": 51.8, - "rank": 17 + "elo": 1294, + "win_rate": 51.7, + "rank": 18 } ], "artificial_analysis": { @@ -9411,6 +9868,7 @@ "frequency_penalty", "include_reasoning", "logit_bias", + "logprobs", "max_tokens", "min_p", "presence_penalty", @@ -9425,6 +9883,7 @@ "tool_choice", "tools", "top_k", + "top_logprobs", "top_p" ], "default_parameters": {}, @@ -9445,7 +9904,7 @@ { "id": "dots-studio/dots-3-note-preview:free", "canonical_slug": "dots-studio/dots-3-note-preview-20260813", - "hugging_face_id": null, + "hugging_face_id": "dots-studio/dots3-note-prev", "name": "Dots Studio: Dots3-Note Preview (free)", "created": 1786680361, "description": "Dots3-Note Preview is an open-weight mixture-of-experts model from Dots Studio, with 16B active parameters out of 280B total. It is the lightest model in the Dots 3 family and is...", @@ -9694,51 +10153,51 @@ { "arena": "models", "category": "3d", - "elo": 1068, + "elo": 1051, "win_rate": 47.4, - "rank": 104 + "rank": 112 }, { "arena": "models", "category": "codecategories", - "elo": 1102, + "elo": 1093, "win_rate": 46.9, - "rank": 107 + "rank": 112 }, { "arena": "models", "category": "dataviz", - "elo": 1134, + "elo": 1131, "win_rate": 49.1, - "rank": 90 + "rank": 91 }, { "arena": "models", "category": "gamedev", - "elo": 1064, + "elo": 1055, "win_rate": 44.3, - "rank": 111 + "rank": 115 }, { "arena": "models", "category": "uicomponent", - "elo": 1087, + "elo": 1083, "win_rate": 48.9, - "rank": 104 + "rank": 107 }, { "arena": "models", "category": "website", - "elo": 1113, + "elo": 1107, "win_rate": 47.1, - "rank": 107 + "rank": 111 }, { "arena": "models", "category": "svg", - "elo": 1016, + "elo": 1009, "win_rate": 43.1, - "rank": 87 + "rank": 90 } ] }, @@ -9974,44 +10433,44 @@ { "arena": "models", "category": "3d", - "elo": 1078, + "elo": 1060, "win_rate": 50.6, - "rank": 98 + "rank": 107 }, { "arena": "models", "category": "codecategories", - "elo": 1150, + "elo": 1142, "win_rate": 57.5, - "rank": 88 + "rank": 91 }, { "arena": "models", "category": "dataviz", - "elo": 1222, + "elo": 1219, "win_rate": 68.2, "rank": 51 }, { "arena": "models", "category": "gamedev", - "elo": 1111, + "elo": 1101, "win_rate": 54.2, - "rank": 93 + "rank": 97 }, { "arena": "models", "category": "uicomponent", - "elo": 1134, + "elo": 1130, "win_rate": 57.5, - "rank": 87 + "rank": 90 }, { "arena": "models", "category": "website", - "elo": 1165, + "elo": 1159, "win_rate": 58.4, - "rank": 85 + "rank": 89 } ], "artificial_analysis": { @@ -10181,30 +10640,30 @@ { "arena": "agents", "category": "androidnative", - "elo": 1047, - "win_rate": 48.1, - "rank": 36 + "elo": 1034, + "win_rate": 47.7, + "rank": 41 }, { "arena": "agents", "category": "fullstack", - "elo": 1056, + "elo": 1035, "win_rate": 47.4, - "rank": 34 + "rank": 36 }, { "arena": "agents", "category": "godotgamedev", "elo": 1161, "win_rate": 50.6, - "rank": 19 + "rank": 17 }, { "arena": "agents", "category": "mobileapps", - "elo": 1090, + "elo": 1082, "win_rate": 46.6, - "rank": 43 + "rank": 45 }, { "arena": "agents", @@ -10216,37 +10675,37 @@ { "arena": "agents", "category": "webapps", - "elo": 1094, + "elo": 1087, "win_rate": 48.5, - "rank": 38 + "rank": 40 }, { "arena": "models", "category": "3d", - "elo": 1181, + "elo": 1163, "win_rate": 62.7, - "rank": 58 + "rank": 65 }, { "arena": "models", "category": "codecategories", - "elo": 1187, + "elo": 1179, "win_rate": 57.6, - "rank": 65 + "rank": 69 }, { "arena": "models", "category": "gamedev", - "elo": 1166, + "elo": 1156, "win_rate": 58.3, - "rank": 71 + "rank": 75 }, { "arena": "models", "category": "website", - "elo": 1194, + "elo": 1188, "win_rate": 57, - "rank": 66 + "rank": 69 } ] }, @@ -10333,30 +10792,30 @@ { "arena": "agents", "category": "androidnative", - "elo": 1047, - "win_rate": 48.1, - "rank": 36 + "elo": 1034, + "win_rate": 47.7, + "rank": 41 }, { "arena": "agents", "category": "fullstack", - "elo": 1056, + "elo": 1035, "win_rate": 47.4, - "rank": 34 + "rank": 36 }, { "arena": "agents", "category": "godotgamedev", "elo": 1161, "win_rate": 50.6, - "rank": 19 + "rank": 17 }, { "arena": "agents", "category": "mobileapps", - "elo": 1090, + "elo": 1082, "win_rate": 46.6, - "rank": 43 + "rank": 45 }, { "arena": "agents", @@ -10368,37 +10827,37 @@ { "arena": "agents", "category": "webapps", - "elo": 1094, + "elo": 1087, "win_rate": 48.5, - "rank": 38 + "rank": 40 }, { "arena": "models", "category": "3d", - "elo": 1181, + "elo": 1163, "win_rate": 62.7, - "rank": 58 + "rank": 65 }, { "arena": "models", "category": "codecategories", - "elo": 1187, + "elo": 1179, "win_rate": 57.6, - "rank": 65 + "rank": 69 }, { "arena": "models", "category": "gamedev", - "elo": 1166, + "elo": 1156, "win_rate": 58.3, - "rank": 71 + "rank": 75 }, { "arena": "models", "category": "website", - "elo": 1194, + "elo": 1188, "win_rate": 57, - "rank": 66 + "rank": 69 } ] }, @@ -10546,7 +11005,7 @@ { "arena": "models", "category": "image", - "elo": 1226, + "elo": 1225, "win_rate": 62.1, "rank": 5 }, @@ -10560,7 +11019,7 @@ { "arena": "models", "category": "imageediting", - "elo": 1230, + "elo": 1228, "win_rate": 66, "rank": 3 } @@ -10700,7 +11159,7 @@ { "arena": "models", "category": "image", - "elo": 1259, + "elo": 1258, "win_rate": 65.1, "rank": 4 }, @@ -10921,58 +11380,58 @@ { "arena": "models", "category": "3d", - "elo": 1045, - "win_rate": 38.8, - "rank": 108 + "elo": 1028, + "win_rate": 38.7, + "rank": 116 }, { "arena": "models", "category": "asciiart", - "elo": 1164, + "elo": 1162, "win_rate": 50.8, "rank": 35 }, { "arena": "models", "category": "codecategories", - "elo": 1070, + "elo": 1062, "win_rate": 36.5, - "rank": 113 + "rank": 119 }, { "arena": "models", "category": "dataviz", - "elo": 1045, + "elo": 1042, "win_rate": 33.3, - "rank": 111 + "rank": 113 }, { "arena": "models", "category": "gamedev", - "elo": 1029, + "elo": 1019, "win_rate": 33.7, - "rank": 120 + "rank": 124 }, { "arena": "models", "category": "svg", - "elo": 1049, + "elo": 1041, "win_rate": 42.5, - "rank": 78 + "rank": 82 }, { "arena": "models", "category": "uicomponent", - "elo": 1066, + "elo": 1062, "win_rate": 37.7, - "rank": 108 + "rank": 112 }, { "arena": "models", "category": "website", - "elo": 1081, + "elo": 1074, "win_rate": 36.6, - "rank": 115 + "rank": 119 } ], "artificial_analysis": { @@ -11136,7 +11595,7 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1059, + "elo": 1057, "win_rate": 43.9, "rank": 23 }, @@ -11171,9 +11630,9 @@ { "arena": "agents", "category": "androidnative", - "elo": 1045, - "win_rate": 41.3, - "rank": 37 + "elo": 1035, + "win_rate": 41.1, + "rank": 40 }, { "arena": "agents", @@ -11185,44 +11644,44 @@ { "arena": "agents", "category": "codetovideo", - "elo": 1154, - "win_rate": 47.8, - "rank": 12 + "elo": 1113, + "win_rate": 43.9, + "rank": 15 }, { "arena": "agents", "category": "fullstack", - "elo": 1061, - "win_rate": 40.7, - "rank": 33 + "elo": 1040, + "win_rate": 40.4, + "rank": 35 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1236, - "win_rate": 60, - "rank": 8 + "elo": 1142, + "win_rate": 54.5, + "rank": 20 }, { "arena": "agents", "category": "htmlslides", - "elo": 1049, - "win_rate": 48.6, + "elo": 1048, + "win_rate": 48.4, "rank": 18 }, { "arena": "agents", "category": "mobileapps", - "elo": 1093, - "win_rate": 42.6, - "rank": 41 + "elo": 1086, + "win_rate": 42.3, + "rank": 43 }, { "arena": "agents", "category": "pdf", - "elo": 1134, - "win_rate": 41.7, - "rank": 22 + "elo": 1103, + "win_rate": 38.6, + "rank": 30 }, { "arena": "agents", @@ -11241,72 +11700,72 @@ { "arena": "agents", "category": "spreadsheet", - "elo": 993, - "win_rate": 31, - "rank": 28 + "elo": 944, + "win_rate": 31.1, + "rank": 32 }, { "arena": "agents", "category": "webapps", - "elo": 1110, - "win_rate": 44.2, - "rank": 34 + "elo": 1103, + "win_rate": 44.1, + "rank": 36 }, { "arena": "models", "category": "3d", - "elo": 1231, - "win_rate": 58.4, - "rank": 42 + "elo": 1214, + "win_rate": 58.5, + "rank": 47 }, { "arena": "models", "category": "asciiart", - "elo": 1267, + "elo": 1265, "win_rate": 63.5, - "rank": 14 + "rank": 13 }, { "arena": "models", "category": "codecategories", - "elo": 1242, + "elo": 1233, "win_rate": 64.4, - "rank": 45 + "rank": 49 }, { "arena": "models", "category": "dataviz", - "elo": 1239, + "elo": 1236, "win_rate": 61.8, - "rank": 41 + "rank": 40 }, { "arena": "models", "category": "gamedev", - "elo": 1202, - "win_rate": 52.2, - "rank": 57 + "elo": 1191, + "win_rate": 52.4, + "rank": 61 }, { "arena": "models", "category": "svg", - "elo": 1281, - "win_rate": 67.8, - "rank": 12 + "elo": 1275, + "win_rate": 67.9, + "rank": 14 }, { "arena": "models", "category": "uicomponent", - "elo": 1275, + "elo": 1270, "win_rate": 69.4, - "rank": 28 + "rank": 33 }, { "arena": "models", "category": "website", - "elo": 1251, + "elo": 1244, "win_rate": 64.4, - "rank": 43 + "rank": 47 } ], "artificial_analysis": { @@ -11470,7 +11929,7 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1059, + "elo": 1057, "win_rate": 43.9, "rank": 23 }, @@ -11505,9 +11964,9 @@ { "arena": "agents", "category": "androidnative", - "elo": 1045, - "win_rate": 41.3, - "rank": 37 + "elo": 1035, + "win_rate": 41.1, + "rank": 40 }, { "arena": "agents", @@ -11519,44 +11978,44 @@ { "arena": "agents", "category": "codetovideo", - "elo": 1154, - "win_rate": 47.8, - "rank": 12 + "elo": 1113, + "win_rate": 43.9, + "rank": 15 }, { "arena": "agents", "category": "fullstack", - "elo": 1061, - "win_rate": 40.7, - "rank": 33 + "elo": 1040, + "win_rate": 40.4, + "rank": 35 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1236, - "win_rate": 60, - "rank": 8 + "elo": 1142, + "win_rate": 54.5, + "rank": 20 }, { "arena": "agents", "category": "htmlslides", - "elo": 1049, - "win_rate": 48.6, + "elo": 1048, + "win_rate": 48.4, "rank": 18 }, { "arena": "agents", "category": "mobileapps", - "elo": 1093, - "win_rate": 42.6, - "rank": 41 + "elo": 1086, + "win_rate": 42.3, + "rank": 43 }, { "arena": "agents", "category": "pdf", - "elo": 1134, - "win_rate": 41.7, - "rank": 22 + "elo": 1103, + "win_rate": 38.6, + "rank": 30 }, { "arena": "agents", @@ -11575,72 +12034,72 @@ { "arena": "agents", "category": "spreadsheet", - "elo": 993, - "win_rate": 31, - "rank": 28 + "elo": 944, + "win_rate": 31.1, + "rank": 32 }, { "arena": "agents", "category": "webapps", - "elo": 1110, - "win_rate": 44.2, - "rank": 34 + "elo": 1103, + "win_rate": 44.1, + "rank": 36 }, { "arena": "models", "category": "3d", - "elo": 1231, - "win_rate": 58.4, - "rank": 42 + "elo": 1214, + "win_rate": 58.5, + "rank": 47 }, { "arena": "models", "category": "asciiart", - "elo": 1267, + "elo": 1265, "win_rate": 63.5, - "rank": 14 + "rank": 13 }, { "arena": "models", "category": "codecategories", - "elo": 1242, + "elo": 1233, "win_rate": 64.4, - "rank": 45 + "rank": 49 }, { "arena": "models", "category": "dataviz", - "elo": 1239, + "elo": 1236, "win_rate": 61.8, - "rank": 41 + "rank": 40 }, { "arena": "models", "category": "gamedev", - "elo": 1202, - "win_rate": 52.2, - "rank": 57 + "elo": 1191, + "win_rate": 52.4, + "rank": 61 }, { "arena": "models", "category": "svg", - "elo": 1281, - "win_rate": 67.8, - "rank": 12 + "elo": 1275, + "win_rate": 67.9, + "rank": 14 }, { "arena": "models", "category": "uicomponent", - "elo": 1275, + "elo": 1270, "win_rate": 69.4, - "rank": 28 + "rank": 33 }, { "arena": "models", "category": "website", - "elo": 1251, + "elo": 1244, "win_rate": 64.4, - "rank": 43 + "rank": 47 } ], "artificial_analysis": { @@ -11726,9 +12185,9 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1128, + "elo": 1124, "win_rate": 55.3, - "rank": 14 + "rank": 13 }, { "arena": "agents", @@ -11761,58 +12220,58 @@ { "arena": "agents", "category": "androidnative", - "elo": 1183, - "win_rate": 57.5, - "rank": 16 + "elo": 1175, + "win_rate": 57.3, + "rank": 20 }, { "arena": "agents", "category": "blender3d", - "elo": 949, - "win_rate": 31.5, + "elo": 935, + "win_rate": 30.5, "rank": 24 }, { "arena": "agents", "category": "codetovideo", - "elo": 1166, - "win_rate": 50.5, - "rank": 11 + "elo": 1147, + "win_rate": 49.9, + "rank": 13 }, { "arena": "agents", "category": "fullstack", - "elo": 1190, - "win_rate": 56.2, - "rank": 20 + "elo": 1169, + "win_rate": 55.8, + "rank": 21 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1098, + "elo": 1078, "win_rate": 43, - "rank": 30 + "rank": 31 }, { "arena": "agents", "category": "htmlslides", - "elo": 1039, + "elo": 1038, "win_rate": 46.5, "rank": 21 }, { "arena": "agents", "category": "mobileapps", - "elo": 1174, - "win_rate": 50.3, - "rank": 26 + "elo": 1169, + "win_rate": 50, + "rank": 28 }, { "arena": "agents", "category": "pdf", - "elo": 1134, - "win_rate": 45.3, - "rank": 23 + "elo": 1143, + "win_rate": 46.5, + "rank": 26 }, { "arena": "agents", @@ -11826,77 +12285,77 @@ "category": "python-pptxslides", "elo": 1247, "win_rate": 57.4, - "rank": 5 + "rank": 7 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1082, - "win_rate": 43.8, - "rank": 21 + "elo": 978, + "win_rate": 19.6, + "rank": 30 }, { "arena": "agents", "category": "webapps", - "elo": 1185, - "win_rate": 51.9, - "rank": 25 + "elo": 1177, + "win_rate": 51.6, + "rank": 27 }, { "arena": "models", "category": "3d", - "elo": 1240, - "win_rate": 55.7, - "rank": 38 + "elo": 1225, + "win_rate": 55.4, + "rank": 42 }, { "arena": "models", "category": "asciiart", - "elo": 1250, + "elo": 1248, "win_rate": 58.8, - "rank": 19 + "rank": 17 }, { "arena": "models", "category": "codecategories", - "elo": 1265, + "elo": 1256, "win_rate": 54, - "rank": 36 + "rank": 39 }, { "arena": "models", "category": "dataviz", - "elo": 1239, - "win_rate": 53.2, - "rank": 42 + "elo": 1237, + "win_rate": 53.6, + "rank": 39 }, { "arena": "models", "category": "gamedev", - "elo": 1262, + "elo": 1253, "win_rate": 52.4, - "rank": 34 + "rank": 35 }, { "arena": "models", "category": "svg", - "elo": 1251, - "win_rate": 58, - "rank": 17 + "elo": 1245, + "win_rate": 58.1, + "rank": 20 }, { "arena": "models", "category": "uicomponent", - "elo": 1267, - "win_rate": 54, - "rank": 32 + "elo": 1266, + "win_rate": 54.6, + "rank": 36 }, { "arena": "models", "category": "website", - "elo": 1267, - "win_rate": 53.7, - "rank": 32 + "elo": 1260, + "win_rate": 53.8, + "rank": 36 } ], "artificial_analysis": { @@ -12131,9 +12590,9 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1128, + "elo": 1124, "win_rate": 55.3, - "rank": 14 + "rank": 13 }, { "arena": "agents", @@ -12166,58 +12625,58 @@ { "arena": "agents", "category": "androidnative", - "elo": 1183, - "win_rate": 57.5, - "rank": 16 + "elo": 1175, + "win_rate": 57.3, + "rank": 20 }, { "arena": "agents", "category": "blender3d", - "elo": 949, - "win_rate": 31.5, + "elo": 935, + "win_rate": 30.5, "rank": 24 }, { "arena": "agents", "category": "codetovideo", - "elo": 1166, - "win_rate": 50.5, - "rank": 11 + "elo": 1147, + "win_rate": 49.9, + "rank": 13 }, { "arena": "agents", "category": "fullstack", - "elo": 1190, - "win_rate": 56.2, - "rank": 20 + "elo": 1169, + "win_rate": 55.8, + "rank": 21 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1098, + "elo": 1078, "win_rate": 43, - "rank": 30 + "rank": 31 }, { "arena": "agents", "category": "htmlslides", - "elo": 1039, + "elo": 1038, "win_rate": 46.5, "rank": 21 }, { "arena": "agents", "category": "mobileapps", - "elo": 1174, - "win_rate": 50.3, - "rank": 26 + "elo": 1169, + "win_rate": 50, + "rank": 28 }, { "arena": "agents", "category": "pdf", - "elo": 1134, - "win_rate": 45.3, - "rank": 23 + "elo": 1143, + "win_rate": 46.5, + "rank": 26 }, { "arena": "agents", @@ -12231,77 +12690,77 @@ "category": "python-pptxslides", "elo": 1247, "win_rate": 57.4, - "rank": 5 + "rank": 7 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1082, - "win_rate": 43.8, - "rank": 21 + "elo": 978, + "win_rate": 19.6, + "rank": 30 }, { "arena": "agents", "category": "webapps", - "elo": 1185, - "win_rate": 51.9, - "rank": 25 + "elo": 1177, + "win_rate": 51.6, + "rank": 27 }, { "arena": "models", "category": "3d", - "elo": 1240, - "win_rate": 55.7, - "rank": 38 + "elo": 1225, + "win_rate": 55.4, + "rank": 42 }, { "arena": "models", "category": "asciiart", - "elo": 1250, + "elo": 1248, "win_rate": 58.8, - "rank": 19 + "rank": 17 }, { "arena": "models", "category": "codecategories", - "elo": 1265, + "elo": 1256, "win_rate": 54, - "rank": 36 + "rank": 39 }, { "arena": "models", "category": "dataviz", - "elo": 1239, - "win_rate": 53.2, - "rank": 42 + "elo": 1237, + "win_rate": 53.6, + "rank": 39 }, { "arena": "models", "category": "gamedev", - "elo": 1262, + "elo": 1253, "win_rate": 52.4, - "rank": 34 + "rank": 35 }, { "arena": "models", "category": "svg", - "elo": 1251, - "win_rate": 58, - "rank": 17 + "elo": 1245, + "win_rate": 58.1, + "rank": 20 }, { "arena": "models", "category": "uicomponent", - "elo": 1267, - "win_rate": 54, - "rank": 32 + "elo": 1266, + "win_rate": 54.6, + "rank": 36 }, { "arena": "models", "category": "website", - "elo": 1267, - "win_rate": 53.7, - "rank": 32 + "elo": 1260, + "win_rate": 53.8, + "rank": 36 } ], "artificial_analysis": { @@ -12388,128 +12847,128 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1125, + "elo": 1121, "win_rate": 47.3, - "rank": 15 + "rank": 16 }, { "arena": "agents", "category": "androidnative", - "elo": 1201, - "win_rate": 53.3, - "rank": 13 + "elo": 1194, + "win_rate": 53.4, + "rank": 15 }, { "arena": "agents", "category": "blender3d", - "elo": 1098, - "win_rate": 49.6, - "rank": 13 + "elo": 1078, + "win_rate": 48.1, + "rank": 15 }, { "arena": "agents", "category": "codetovideo", - "elo": 1150, - "win_rate": 44.7, - "rank": 15 + "elo": 1101, + "win_rate": 41.8, + "rank": 19 }, { "arena": "agents", "category": "fullstack", - "elo": 1176, - "win_rate": 44.3, - "rank": 22 + "elo": 1152, + "win_rate": 43.9, + "rank": 24 }, { "arena": "agents", "category": "htmlslides", - "elo": 1045, + "elo": 1043, "win_rate": 41.9, "rank": 19 }, { "arena": "agents", "category": "mobileapps", - "elo": 1196, - "win_rate": 49.7, - "rank": 20 + "elo": 1190, + "win_rate": 49.6, + "rank": 23 }, { "arena": "agents", "category": "pdf", - "elo": 1213, - "win_rate": 52, - "rank": 13 + "elo": 1170, + "win_rate": 47.3, + "rank": 21 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1098, + "elo": 1106, "win_rate": 39.2, "rank": 26 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1086, - "win_rate": 45.5, - "rank": 20 + "elo": 1043, + "win_rate": 28.5, + "rank": 21 }, { "arena": "agents", "category": "webapps", - "elo": 1179, + "elo": 1173, "win_rate": 45.2, - "rank": 27 + "rank": 28 }, { "arena": "models", "category": "3d", - "elo": 1269, - "win_rate": 52.8, - "rank": 25 + "elo": 1250, + "win_rate": 52.3, + "rank": 30 }, { "arena": "models", "category": "asciiart", - "elo": 1274, - "win_rate": 56.7, - "rank": 11 + "elo": 1276, + "win_rate": 57.4, + "rank": 8 }, { "arena": "models", "category": "codecategories", - "elo": 1288, - "win_rate": 52.9, - "rank": 21 + "elo": 1279, + "win_rate": 52.7, + "rank": 24 }, { "arena": "models", "category": "dataviz", - "elo": 1290, - "win_rate": 52.2, - "rank": 16 + "elo": 1288, + "win_rate": 52.3, + "rank": 14 }, { "arena": "models", "category": "gamedev", - "elo": 1263, - "win_rate": 51, - "rank": 32 + "elo": 1252, + "win_rate": 50.4, + "rank": 36 }, { "arena": "models", "category": "uicomponent", - "elo": 1296, - "win_rate": 54, - "rank": 19 + "elo": 1290, + "win_rate": 53.8, + "rank": 22 }, { "arena": "models", "category": "website", - "elo": 1297, - "win_rate": 54.1, - "rank": 16 + "elo": 1292, + "win_rate": 54.3, + "rank": 19 } ], "artificial_analysis": { @@ -12589,128 +13048,128 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1125, + "elo": 1121, "win_rate": 47.3, - "rank": 15 + "rank": 16 }, { "arena": "agents", "category": "androidnative", - "elo": 1201, - "win_rate": 53.3, - "rank": 13 + "elo": 1194, + "win_rate": 53.4, + "rank": 15 }, { "arena": "agents", "category": "blender3d", - "elo": 1098, - "win_rate": 49.6, - "rank": 13 + "elo": 1078, + "win_rate": 48.1, + "rank": 15 }, { "arena": "agents", "category": "codetovideo", - "elo": 1150, - "win_rate": 44.7, - "rank": 15 + "elo": 1101, + "win_rate": 41.8, + "rank": 19 }, { "arena": "agents", "category": "fullstack", - "elo": 1176, - "win_rate": 44.3, - "rank": 22 + "elo": 1152, + "win_rate": 43.9, + "rank": 24 }, { "arena": "agents", "category": "htmlslides", - "elo": 1045, + "elo": 1043, "win_rate": 41.9, "rank": 19 }, { "arena": "agents", "category": "mobileapps", - "elo": 1196, - "win_rate": 49.7, - "rank": 20 + "elo": 1190, + "win_rate": 49.6, + "rank": 23 }, { "arena": "agents", "category": "pdf", - "elo": 1213, - "win_rate": 52, - "rank": 13 + "elo": 1170, + "win_rate": 47.3, + "rank": 21 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1098, + "elo": 1106, "win_rate": 39.2, "rank": 26 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1086, - "win_rate": 45.5, - "rank": 20 + "elo": 1043, + "win_rate": 28.5, + "rank": 21 }, { "arena": "agents", "category": "webapps", - "elo": 1179, + "elo": 1173, "win_rate": 45.2, - "rank": 27 + "rank": 28 }, { "arena": "models", "category": "3d", - "elo": 1269, - "win_rate": 52.8, - "rank": 25 + "elo": 1250, + "win_rate": 52.3, + "rank": 30 }, { "arena": "models", "category": "asciiart", - "elo": 1274, - "win_rate": 56.7, - "rank": 11 + "elo": 1276, + "win_rate": 57.4, + "rank": 8 }, { "arena": "models", "category": "codecategories", - "elo": 1288, - "win_rate": 52.9, - "rank": 21 + "elo": 1279, + "win_rate": 52.7, + "rank": 24 }, { "arena": "models", "category": "dataviz", - "elo": 1290, - "win_rate": 52.2, - "rank": 16 + "elo": 1288, + "win_rate": 52.3, + "rank": 14 }, { "arena": "models", "category": "gamedev", - "elo": 1263, - "win_rate": 51, - "rank": 32 + "elo": 1252, + "win_rate": 50.4, + "rank": 36 }, { "arena": "models", "category": "uicomponent", - "elo": 1296, - "win_rate": 54, - "rank": 19 + "elo": 1290, + "win_rate": 53.8, + "rank": 22 }, { "arena": "models", "category": "website", - "elo": 1297, - "win_rate": 54.1, - "rank": 16 + "elo": 1292, + "win_rate": 54.3, + "rank": 19 } ], "artificial_analysis": { @@ -12790,16 +13249,16 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1181, - "win_rate": 52.1, + "elo": 1177, + "win_rate": 52, "rank": 7 }, { "arena": "agents", "category": "androidnative", - "elo": 1241, - "win_rate": 53.3, - "rank": 7 + "elo": 1233, + "win_rate": 53.2, + "rank": 9 }, { "arena": "agents", @@ -12811,107 +13270,114 @@ { "arena": "agents", "category": "codetovideo", - "elo": 1192, - "win_rate": 52.2, - "rank": 7 + "elo": 1183, + "win_rate": 54.2, + "rank": 11 }, { "arena": "agents", "category": "fullstack", - "elo": 1204, - "win_rate": 43.8, - "rank": 16 + "elo": 1182, + "win_rate": 43.7, + "rank": 18 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1264, - "win_rate": 50.6, + "elo": 1236, + "win_rate": 50, "rank": 6 }, { "arena": "agents", "category": "mobileapps", - "elo": 1230, - "win_rate": 52.7, + "elo": 1227, + "win_rate": 52.9, "rank": 12 }, { "arena": "agents", "category": "pdf", - "elo": 1163, - "win_rate": 46.1, - "rank": 19 + "elo": 1160, + "win_rate": 46.9, + "rank": 23 + }, + { + "arena": "agents", + "category": "python-pptxslides", + "elo": 1068, + "win_rate": 37.4, + "rank": 28 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1141, - "win_rate": 48.1, - "rank": 15 + "elo": 1014, + "win_rate": 24.7, + "rank": 26 }, { "arena": "agents", "category": "webapps", - "elo": 1207, - "win_rate": 46.9, - "rank": 17 + "elo": 1201, + "win_rate": 47, + "rank": 19 }, { "arena": "models", "category": "3d", - "elo": 1305, - "win_rate": 53.8, - "rank": 19 + "elo": 1287, + "win_rate": 53.2, + "rank": 22 }, { "arena": "models", "category": "asciiart", - "elo": 1275, - "win_rate": 54.6, - "rank": 8 + "elo": 1266, + "win_rate": 53.5, + "rank": 12 }, { "arena": "models", "category": "codecategories", - "elo": 1306, - "win_rate": 53.7, - "rank": 14 + "elo": 1298, + "win_rate": 53.5, + "rank": 18 }, { "arena": "models", "category": "dataviz", - "elo": 1316, - "win_rate": 55.2, + "elo": 1309, + "win_rate": 54.3, "rank": 11 }, { "arena": "models", "category": "gamedev", - "elo": 1319, - "win_rate": 53.5, - "rank": 13 + "elo": 1312, + "win_rate": 53.3, + "rank": 16 }, { "arena": "models", "category": "svg", - "elo": 1283, + "elo": 1278, "win_rate": 53.9, - "rank": 11 + "rank": 13 }, { "arena": "models", "category": "uicomponent", - "elo": 1294, - "win_rate": 51.9, - "rank": 20 + "elo": 1287, + "win_rate": 51.4, + "rank": 23 }, { "arena": "models", "category": "website", - "elo": 1302, - "win_rate": 53.8, - "rank": 14 + "elo": 1295, + "win_rate": 53.6, + "rank": 17 } ], "artificial_analysis": { @@ -12984,16 +13450,16 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1181, - "win_rate": 52.1, + "elo": 1177, + "win_rate": 52, "rank": 7 }, { "arena": "agents", "category": "androidnative", - "elo": 1241, - "win_rate": 53.3, - "rank": 7 + "elo": 1233, + "win_rate": 53.2, + "rank": 9 }, { "arena": "agents", @@ -13005,107 +13471,114 @@ { "arena": "agents", "category": "codetovideo", - "elo": 1192, - "win_rate": 52.2, - "rank": 7 + "elo": 1183, + "win_rate": 54.2, + "rank": 11 }, { "arena": "agents", "category": "fullstack", - "elo": 1204, - "win_rate": 43.8, - "rank": 16 + "elo": 1182, + "win_rate": 43.7, + "rank": 18 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1264, - "win_rate": 50.6, + "elo": 1236, + "win_rate": 50, "rank": 6 }, { "arena": "agents", "category": "mobileapps", - "elo": 1230, - "win_rate": 52.7, + "elo": 1227, + "win_rate": 52.9, "rank": 12 }, { "arena": "agents", "category": "pdf", - "elo": 1163, - "win_rate": 46.1, - "rank": 19 + "elo": 1160, + "win_rate": 46.9, + "rank": 23 + }, + { + "arena": "agents", + "category": "python-pptxslides", + "elo": 1068, + "win_rate": 37.4, + "rank": 28 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1141, - "win_rate": 48.1, - "rank": 15 + "elo": 1014, + "win_rate": 24.7, + "rank": 26 }, { "arena": "agents", "category": "webapps", - "elo": 1207, - "win_rate": 46.9, - "rank": 17 + "elo": 1201, + "win_rate": 47, + "rank": 19 }, { "arena": "models", "category": "3d", - "elo": 1305, - "win_rate": 53.8, - "rank": 19 + "elo": 1287, + "win_rate": 53.2, + "rank": 22 }, { "arena": "models", "category": "asciiart", - "elo": 1275, - "win_rate": 54.6, - "rank": 8 + "elo": 1266, + "win_rate": 53.5, + "rank": 12 }, { "arena": "models", "category": "codecategories", - "elo": 1306, - "win_rate": 53.7, - "rank": 14 + "elo": 1298, + "win_rate": 53.5, + "rank": 18 }, { "arena": "models", "category": "dataviz", - "elo": 1316, - "win_rate": 55.2, + "elo": 1309, + "win_rate": 54.3, "rank": 11 }, { "arena": "models", "category": "gamedev", - "elo": 1319, - "win_rate": 53.5, - "rank": 13 + "elo": 1312, + "win_rate": 53.3, + "rank": 16 }, { "arena": "models", "category": "svg", - "elo": 1283, + "elo": 1278, "win_rate": 53.9, - "rank": 11 + "rank": 13 }, { "arena": "models", "category": "uicomponent", - "elo": 1294, - "win_rate": 51.9, - "rank": 20 + "elo": 1287, + "win_rate": 51.4, + "rank": 23 }, { "arena": "models", "category": "website", - "elo": 1302, - "win_rate": 53.8, - "rank": 14 + "elo": 1295, + "win_rate": 53.6, + "rank": 17 } ], "artificial_analysis": { @@ -13185,128 +13658,128 @@ { "arena": "agents", "category": "androidnative", - "elo": 1092, - "win_rate": 34.4, - "rank": 32 + "elo": 1085, + "win_rate": 34.6, + "rank": 35 }, { "arena": "agents", "category": "blender3d", - "elo": 1193, - "win_rate": 54, + "elo": 1188, + "win_rate": 47.9, "rank": 6 }, { "arena": "agents", "category": "codetovideo", - "elo": 1229, - "win_rate": 57.9, - "rank": 5 + "elo": 1184, + "win_rate": 54.1, + "rank": 10 }, { "arena": "agents", "category": "fullstack", - "elo": 1235, - "win_rate": 47.9, - "rank": 12 + "elo": 1214, + "win_rate": 47.7, + "rank": 14 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1273, - "win_rate": 53, + "elo": 1248, + "win_rate": 52.5, "rank": 5 }, { "arena": "agents", "category": "mobileapps", - "elo": 1232, - "win_rate": 54.4, - "rank": 10 + "elo": 1225, + "win_rate": 54.3, + "rank": 13 }, { "arena": "agents", "category": "pdf", - "elo": 1211, - "win_rate": 53.3, - "rank": 14 + "elo": 1208, + "win_rate": 53.8, + "rank": 15 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1138, - "win_rate": 40.4, + "elo": 1149, + "win_rate": 40.7, "rank": 22 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1073, - "win_rate": 42.7, + "elo": 1034, + "win_rate": 42.4, "rank": 23 }, { "arena": "agents", "category": "webapps", - "elo": 1221, - "win_rate": 46.5, - "rank": 15 + "elo": 1212, + "win_rate": 45.5, + "rank": 17 }, { "arena": "models", "category": "3d", - "elo": 1291, - "win_rate": 49.8, - "rank": 21 + "elo": 1275, + "win_rate": 49.6, + "rank": 24 }, { "arena": "models", "category": "asciiart", - "elo": 1271, - "win_rate": 52, - "rank": 12 + "elo": 1268, + "win_rate": 51.8, + "rank": 11 }, { "arena": "models", "category": "codecategories", - "elo": 1301, - "win_rate": 50.4, - "rank": 15 + "elo": 1292, + "win_rate": 50, + "rank": 19 }, { "arena": "models", "category": "dataviz", - "elo": 1273, - "win_rate": 51.6, - "rank": 26 + "elo": 1276, + "win_rate": 52.5, + "rank": 22 }, { "arena": "models", "category": "gamedev", - "elo": 1305, - "win_rate": 51.1, - "rank": 17 + "elo": 1296, + "win_rate": 50.8, + "rank": 20 }, { "arena": "models", "category": "svg", - "elo": 1293, - "win_rate": 54.5, - "rank": 10 + "elo": 1289, + "win_rate": 54.8, + "rank": 12 }, { "arena": "models", "category": "uicomponent", - "elo": 1313, - "win_rate": 53, - "rank": 15 + "elo": 1304, + "win_rate": 52.4, + "rank": 17 }, { "arena": "models", "category": "website", - "elo": 1299, - "win_rate": 50, - "rank": 15 + "elo": 1291, + "win_rate": 49.5, + "rank": 20 } ], "artificial_analysis": { @@ -13379,128 +13852,128 @@ { "arena": "agents", "category": "androidnative", - "elo": 1092, - "win_rate": 34.4, - "rank": 32 + "elo": 1085, + "win_rate": 34.6, + "rank": 35 }, { "arena": "agents", "category": "blender3d", - "elo": 1193, - "win_rate": 54, + "elo": 1188, + "win_rate": 47.9, "rank": 6 }, { "arena": "agents", "category": "codetovideo", - "elo": 1229, - "win_rate": 57.9, - "rank": 5 + "elo": 1184, + "win_rate": 54.1, + "rank": 10 }, { "arena": "agents", "category": "fullstack", - "elo": 1235, - "win_rate": 47.9, - "rank": 12 + "elo": 1214, + "win_rate": 47.7, + "rank": 14 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1273, - "win_rate": 53, + "elo": 1248, + "win_rate": 52.5, "rank": 5 }, { "arena": "agents", "category": "mobileapps", - "elo": 1232, - "win_rate": 54.4, - "rank": 10 + "elo": 1225, + "win_rate": 54.3, + "rank": 13 }, { "arena": "agents", "category": "pdf", - "elo": 1211, - "win_rate": 53.3, - "rank": 14 + "elo": 1208, + "win_rate": 53.8, + "rank": 15 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1138, - "win_rate": 40.4, + "elo": 1149, + "win_rate": 40.7, "rank": 22 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1073, - "win_rate": 42.7, + "elo": 1034, + "win_rate": 42.4, "rank": 23 }, { "arena": "agents", "category": "webapps", - "elo": 1221, - "win_rate": 46.5, - "rank": 15 + "elo": 1212, + "win_rate": 45.5, + "rank": 17 }, { "arena": "models", "category": "3d", - "elo": 1291, - "win_rate": 49.8, - "rank": 21 + "elo": 1275, + "win_rate": 49.6, + "rank": 24 }, { "arena": "models", "category": "asciiart", - "elo": 1271, - "win_rate": 52, - "rank": 12 + "elo": 1268, + "win_rate": 51.8, + "rank": 11 }, { "arena": "models", "category": "codecategories", - "elo": 1301, - "win_rate": 50.4, - "rank": 15 + "elo": 1292, + "win_rate": 50, + "rank": 19 }, { "arena": "models", "category": "dataviz", - "elo": 1273, - "win_rate": 51.6, - "rank": 26 + "elo": 1276, + "win_rate": 52.5, + "rank": 22 }, { "arena": "models", "category": "gamedev", - "elo": 1305, - "win_rate": 51.1, - "rank": 17 + "elo": 1296, + "win_rate": 50.8, + "rank": 20 }, { "arena": "models", "category": "svg", - "elo": 1293, - "win_rate": 54.5, - "rank": 10 + "elo": 1289, + "win_rate": 54.8, + "rank": 12 }, { "arena": "models", "category": "uicomponent", - "elo": 1313, - "win_rate": 53, - "rank": 15 + "elo": 1304, + "win_rate": 52.4, + "rank": 17 }, { "arena": "models", "category": "website", - "elo": 1299, - "win_rate": 50, - "rank": 15 + "elo": 1291, + "win_rate": 49.5, + "rank": 20 } ], "artificial_analysis": { @@ -13587,72 +14060,86 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1266, + "elo": 1264, "win_rate": 51.1, "rank": 1 }, { "arena": "agents", "category": "blender3d", - "elo": 1408, - "win_rate": 68.2, + "elo": 1376, + "win_rate": 65.9, "rank": 1 }, + { + "arena": "agents", + "category": "pdf", + "elo": 1253, + "win_rate": 60.4, + "rank": 7 + }, { "arena": "agents", "category": "spreadsheet", - "elo": 1200, - "win_rate": 32.8, - "rank": 12 + "elo": 1159, + "win_rate": 30.6, + "rank": 16 + }, + { + "arena": "agents", + "category": "webapps", + "elo": 1283, + "win_rate": 47.3, + "rank": 6 }, { "arena": "models", "category": "3d", - "elo": 1369, - "win_rate": 50.4, - "rank": 9 + "elo": 1353, + "win_rate": 49.8, + "rank": 12 }, { "arena": "models", "category": "codecategories", - "elo": 1327, - "win_rate": 54, - "rank": 9 + "elo": 1326, + "win_rate": 53.5, + "rank": 12 }, { "arena": "models", "category": "dataviz", - "elo": 1333, - "win_rate": 61.2, - "rank": 8 + "elo": 1327, + "win_rate": 60.8, + "rank": 9 }, { "arena": "models", "category": "gamedev", - "elo": 1366, - "win_rate": 54, - "rank": 7 + "elo": 1361, + "win_rate": 53.5, + "rank": 8 }, { "arena": "models", "category": "svg", - "elo": 1330, - "win_rate": 60.8, - "rank": 1 + "elo": 1337, + "win_rate": 62.3, + "rank": 2 }, { "arena": "models", "category": "uicomponent", - "elo": 1333, - "win_rate": 58, - "rank": 12 + "elo": 1332, + "win_rate": 57.8, + "rank": 13 }, { "arena": "models", "category": "website", "elo": 1316, "win_rate": 55.5, - "rank": 7 + "rank": 9 } ], "artificial_analysis": { @@ -13733,76 +14220,359 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1266, + "elo": 1264, "win_rate": 51.1, "rank": 1 }, { "arena": "agents", "category": "blender3d", - "elo": 1408, - "win_rate": 68.2, + "elo": 1376, + "win_rate": 65.9, "rank": 1 }, + { + "arena": "agents", + "category": "pdf", + "elo": 1253, + "win_rate": 60.4, + "rank": 7 + }, { "arena": "agents", "category": "spreadsheet", - "elo": 1200, - "win_rate": 32.8, - "rank": 12 + "elo": 1159, + "win_rate": 30.6, + "rank": 16 + }, + { + "arena": "agents", + "category": "webapps", + "elo": 1283, + "win_rate": 47.3, + "rank": 6 }, { "arena": "models", "category": "3d", - "elo": 1369, - "win_rate": 50.4, - "rank": 9 + "elo": 1353, + "win_rate": 49.8, + "rank": 12 }, { "arena": "models", "category": "codecategories", + "elo": 1326, + "win_rate": 53.5, + "rank": 12 + }, + { + "arena": "models", + "category": "dataviz", "elo": 1327, - "win_rate": 54, + "win_rate": 60.8, "rank": 9 }, { "arena": "models", - "category": "dataviz", - "elo": 1333, - "win_rate": 61.2, + "category": "gamedev", + "elo": 1361, + "win_rate": 53.5, + "rank": 8 + }, + { + "arena": "models", + "category": "svg", + "elo": 1337, + "win_rate": 62.3, + "rank": 2 + }, + { + "arena": "models", + "category": "uicomponent", + "elo": 1332, + "win_rate": 57.8, + "rank": 13 + }, + { + "arena": "models", + "category": "website", + "elo": 1316, + "win_rate": 55.5, + "rank": 9 + } + ], + "artificial_analysis": { + "intelligence_index": 50.4, + "coding_index": null, + "agentic_index": null + } + }, + "reasoning": { + "mandatory": true, + "supported_efforts": ["high", "medium", "low"], + "default_effort": "medium" + } + }, + { + "id": "google/gemini-4-carbon", + "canonical_slug": "google/gemini-4-carbon-20261110", + "hugging_face_id": null, + "name": "Google: Gemini 4 Carbon", + "created": 1794326871, + "description": "Gemini 4 Carbon is a frontier Gemini 4 model from Google for coding, agentic and complex reasoning work. It takes text, image, audio, video and file input, supports long decode...", + "context_length": 1048576, + "architecture": { + "modality": "text+image+file+audio+video->text", + "input_modalities": ["audio", "file", "image", "text", "video"], + "output_modalities": ["text"], + "tokenizer": "Gemini", + "instruct_type": null + }, + "pricing": { + "prompt": "0.000002", + "completion": "0.00001", + "image": "0.000002", + "audio": "0.000002", + "input_audio_cache": "0.0000001", + "web_search": "0.014", + "internal_reasoning": "0.00001", + "input_cache_read": "0.0000001", + "input_cache_write": "0.0000001875" + }, + "top_provider": { + "context_length": 1048576, + "max_completion_tokens": 943718, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "include_reasoning", + "max_tokens", + "reasoning", + "reasoning_effort", + "response_format", + "seed", + "stop", + "structured_outputs", + "temperature", + "tool_choice", + "tools", + "top_p" + ], + "default_parameters": { + "temperature": null, + "top_p": null, + "top_k": null, + "frequency_penalty": null, + "presence_penalty": null, + "repetition_penalty": null + }, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/google/gemini-4-carbon-20261110/endpoints" + }, + "endpoints": [ + "/api/v1/chat/completions", + "/api/v1/completions", + "/api/v1/messages", + "/api/v1/responses" + ], + "benchmarks": { + "design_arena": [ + { + "arena": "agents", + "category": "mobileapps", + "elo": 1284, + "win_rate": 59.9, + "rank": 4 + }, + { + "arena": "agents", + "category": "pdf", + "elo": 1334, + "win_rate": 70.5, + "rank": 1 + }, + { + "arena": "agents", + "category": "spreadsheet", + "elo": 1224, + "win_rate": 48, + "rank": 13 + }, + { + "arena": "models", + "category": "3d", + "elo": 1427, + "win_rate": 68.8, + "rank": 5 + }, + { + "arena": "models", + "category": "codecategories", + "elo": 1346, + "win_rate": 59.8, "rank": 8 }, { "arena": "models", "category": "gamedev", - "elo": 1366, - "win_rate": 54, - "rank": 7 + "elo": 1328, + "win_rate": 57.2, + "rank": 13 }, { "arena": "models", - "category": "svg", - "elo": 1330, + "category": "uicomponent", + "elo": 1350, "win_rate": 60.8, + "rank": 8 + }, + { + "arena": "models", + "category": "website", + "elo": 1319, + "win_rate": 56.6, + "rank": 7 + } + ], + "artificial_analysis": { + "intelligence_index": 60, + "coding_index": null, + "agentic_index": null + } + }, + "reasoning": { + "mandatory": true, + "supported_efforts": ["high", "medium", "low"], + "default_effort": "medium" + } + }, + { + "id": "google/gemini-4-carbon:batch", + "canonical_slug": "google/gemini-4-carbon-20261110", + "hugging_face_id": null, + "name": "Google: Gemini 4 Carbon (batch)", + "created": 1794326871, + "description": "Gemini 4 Carbon is a frontier Gemini 4 model from Google for coding, agentic and complex reasoning work. It takes text, image, audio, video and file input, supports long decode...", + "context_length": 1048576, + "architecture": { + "modality": "text+image+file+audio+video->text", + "input_modalities": ["audio", "file", "image", "text", "video"], + "output_modalities": ["text"], + "tokenizer": "Gemini", + "instruct_type": null + }, + "pricing": { + "prompt": "0.000001", + "completion": "0.000005", + "image": "0.000001", + "audio": "0.000001", + "input_audio_cache": "0.00000005", + "web_search": "0.014", + "internal_reasoning": "0.000005", + "input_cache_read": "0.00000005", + "input_cache_write": "0.0000001875" + }, + "top_provider": { + "context_length": 1048576, + "max_completion_tokens": 943718, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "include_reasoning", + "max_tokens", + "reasoning", + "reasoning_effort", + "response_format", + "seed", + "stop", + "structured_outputs", + "temperature", + "tool_choice", + "tools", + "top_p" + ], + "default_parameters": { + "temperature": null, + "top_p": null, + "top_k": null, + "frequency_penalty": null, + "presence_penalty": null, + "repetition_penalty": null + }, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/google/gemini-4-carbon-20261110/endpoints" + }, + "endpoints": ["/api/v1/batches"], + "benchmarks": { + "design_arena": [ + { + "arena": "agents", + "category": "mobileapps", + "elo": 1284, + "win_rate": 59.9, + "rank": 4 + }, + { + "arena": "agents", + "category": "pdf", + "elo": 1334, + "win_rate": 70.5, "rank": 1 }, + { + "arena": "agents", + "category": "spreadsheet", + "elo": 1224, + "win_rate": 48, + "rank": 13 + }, + { + "arena": "models", + "category": "3d", + "elo": 1427, + "win_rate": 68.8, + "rank": 5 + }, + { + "arena": "models", + "category": "codecategories", + "elo": 1346, + "win_rate": 59.8, + "rank": 8 + }, + { + "arena": "models", + "category": "gamedev", + "elo": 1328, + "win_rate": 57.2, + "rank": 13 + }, { "arena": "models", "category": "uicomponent", - "elo": 1333, - "win_rate": 58, - "rank": 12 + "elo": 1350, + "win_rate": 60.8, + "rank": 8 }, { "arena": "models", "category": "website", - "elo": 1316, - "win_rate": 55.5, + "elo": 1319, + "win_rate": 56.6, "rank": 7 } ], "artificial_analysis": { - "intelligence_index": 50.4, + "intelligence_index": 60, "coding_index": null, "agentic_index": null } @@ -13813,6 +14583,247 @@ "default_effort": "medium" } }, + { + "id": "google/gemini-4-hydrogen", + "canonical_slug": "google/gemini-4-hydrogen-20261112", + "hugging_face_id": null, + "name": "Google: Gemini 4 Hydrogen", + "created": 1794506460, + "description": "Gemini 4 Hydrogen is the high-efficiency workhorse model of the Gemini 4 family from Google, built for high-throughput agentic workflows, coding and multi-model routing at lower cost and latency than...", + "context_length": 1048576, + "architecture": { + "modality": "text+image+file+audio+video->text", + "input_modalities": ["audio", "file", "image", "text", "video"], + "output_modalities": ["text"], + "tokenizer": "Gemini", + "instruct_type": null + }, + "pricing": { + "prompt": "0.0000015", + "completion": "0.0000075", + "image": "0.0000015", + "audio": "0.0000015", + "input_audio_cache": "0.000000075", + "web_search": "0.014", + "internal_reasoning": "0.0000075", + "input_cache_read": "0.000000075", + "input_cache_write": "0.0000000833333333333333" + }, + "top_provider": { + "context_length": 1048576, + "max_completion_tokens": 943718, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "include_reasoning", + "max_tokens", + "reasoning", + "reasoning_effort", + "response_format", + "seed", + "stop", + "structured_outputs", + "temperature", + "tool_choice", + "tools", + "top_p" + ], + "default_parameters": { + "temperature": null, + "top_p": null, + "top_k": null, + "frequency_penalty": null, + "presence_penalty": null, + "repetition_penalty": null + }, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/google/gemini-4-hydrogen-20261112/endpoints" + }, + "endpoints": [ + "/api/v1/chat/completions", + "/api/v1/completions", + "/api/v1/messages", + "/api/v1/responses" + ], + "benchmarks": { + "design_arena": [ + { + "arena": "agents", + "category": "pdf", + "elo": 1216, + "win_rate": 54.8, + "rank": 13 + }, + { + "arena": "models", + "category": "3d", + "elo": 1419, + "win_rate": 67, + "rank": 7 + }, + { + "arena": "models", + "category": "codecategories", + "elo": 1331, + "win_rate": 57.5, + "rank": 10 + }, + { + "arena": "models", + "category": "gamedev", + "elo": 1354, + "win_rate": 56.5, + "rank": 9 + }, + { + "arena": "models", + "category": "uicomponent", + "elo": 1297, + "win_rate": 51.8, + "rank": 19 + }, + { + "arena": "models", + "category": "website", + "elo": 1318, + "win_rate": 57.8, + "rank": 8 + } + ], + "artificial_analysis": { + "intelligence_index": 53.9, + "coding_index": null, + "agentic_index": null + } + }, + "reasoning": { + "mandatory": true, + "supported_efforts": ["xhigh", "high", "medium", "low"], + "default_effort": "medium" + } + }, + { + "id": "google/gemini-4-hydrogen:batch", + "canonical_slug": "google/gemini-4-hydrogen-20261112", + "hugging_face_id": null, + "name": "Google: Gemini 4 Hydrogen (batch)", + "created": 1794506460, + "description": "Gemini 4 Hydrogen is the high-efficiency workhorse model of the Gemini 4 family from Google, built for high-throughput agentic workflows, coding and multi-model routing at lower cost and latency than...", + "context_length": 1048576, + "architecture": { + "modality": "text+image+file+audio+video->text", + "input_modalities": ["audio", "file", "image", "text", "video"], + "output_modalities": ["text"], + "tokenizer": "Gemini", + "instruct_type": null + }, + "pricing": { + "prompt": "0.00000075", + "completion": "0.00000375", + "image": "0.00000075", + "audio": "0.00000075", + "input_audio_cache": "0.0000000375", + "web_search": "0.014", + "internal_reasoning": "0.00000375", + "input_cache_read": "0.0000000375", + "input_cache_write": "0.0000000833333333333333" + }, + "top_provider": { + "context_length": 1048576, + "max_completion_tokens": 943718, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "include_reasoning", + "max_tokens", + "reasoning", + "reasoning_effort", + "response_format", + "seed", + "stop", + "structured_outputs", + "temperature", + "tool_choice", + "tools", + "top_p" + ], + "default_parameters": { + "temperature": null, + "top_p": null, + "top_k": null, + "frequency_penalty": null, + "presence_penalty": null, + "repetition_penalty": null + }, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/google/gemini-4-hydrogen-20261112/endpoints" + }, + "endpoints": ["/api/v1/batches"], + "benchmarks": { + "design_arena": [ + { + "arena": "agents", + "category": "pdf", + "elo": 1216, + "win_rate": 54.8, + "rank": 13 + }, + { + "arena": "models", + "category": "3d", + "elo": 1419, + "win_rate": 67, + "rank": 7 + }, + { + "arena": "models", + "category": "codecategories", + "elo": 1331, + "win_rate": 57.5, + "rank": 10 + }, + { + "arena": "models", + "category": "gamedev", + "elo": 1354, + "win_rate": 56.5, + "rank": 9 + }, + { + "arena": "models", + "category": "uicomponent", + "elo": 1297, + "win_rate": 51.8, + "rank": 19 + }, + { + "arena": "models", + "category": "website", + "elo": 1318, + "win_rate": 57.8, + "rank": 8 + } + ], + "artificial_analysis": { + "intelligence_index": 53.9, + "coding_index": null, + "agentic_index": null + } + }, + "reasoning": { + "mandatory": true, + "supported_efforts": ["xhigh", "high", "medium", "low"], + "default_effort": "medium" + } + }, { "id": "google/gemini-nano-banana-2.1", "canonical_slug": "google/gemini-nano-banana-2.1-20261006", @@ -14250,9 +15261,9 @@ "instruct_type": null }, "pricing": { - "prompt": "0.0000000765", - "completion": "0.000000255", - "input_cache_read": "0.0000000425" + "prompt": "0.0000000675", + "completion": "0.000000225", + "input_cache_read": "0.0000000375" }, "top_provider": { "context_length": 262144, @@ -14769,298 +15780,6 @@ "default_effort": "high" } }, - { - "id": "inception/mercury-2", - "canonical_slug": "inception/mercury-2-20260304", - "hugging_face_id": null, - "name": "Inception: Mercury 2", - "created": 1772636275, - "description": "Mercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens sequentially, Mercury 2 produces and refines multiple tokens in parallel, achieving...", - "context_length": 128000, - "architecture": { - "modality": "text->text", - "input_modalities": ["text"], - "output_modalities": ["text"], - "tokenizer": "Other", - "instruct_type": null - }, - "pricing": { - "prompt": "0.00000025", - "completion": "0.00000075", - "input_cache_read": "0.000000025" - }, - "top_provider": { - "context_length": 128000, - "max_completion_tokens": 50000, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "include_reasoning", - "max_tokens", - "reasoning", - "reasoning_effort", - "response_format", - "stop", - "structured_outputs", - "temperature", - "tool_choice", - "tools" - ], - "default_parameters": { - "temperature": 0.75, - "top_p": null, - "top_k": null, - "frequency_penalty": null, - "presence_penalty": null, - "repetition_penalty": null - }, - "supported_voices": null, - "knowledge_cutoff": null, - "expiration_date": "2026-11-08", - "links": { - "details": "/api/v1/models/inception/mercury-2-20260304/endpoints" - }, - "endpoints": [ - "/api/v1/chat/completions", - "/api/v1/completions", - "/api/v1/messages", - "/api/v1/responses" - ], - "benchmarks": { - "design_arena": [ - { - "arena": "models", - "category": "3d", - "elo": 975, - "win_rate": 21.1, - "rank": 118 - }, - { - "arena": "models", - "category": "asciiart", - "elo": 986, - "win_rate": 24.2, - "rank": 74 - }, - { - "arena": "models", - "category": "codecategories", - "elo": 1018, - "win_rate": 21.2, - "rank": 126 - }, - { - "arena": "models", - "category": "dataviz", - "elo": 1014, - "win_rate": 22.8, - "rank": 116 - }, - { - "arena": "models", - "category": "gamedev", - "elo": 979, - "win_rate": 18.3, - "rank": 126 - }, - { - "arena": "models", - "category": "svg", - "elo": 1002, - "win_rate": 25, - "rank": 90 - }, - { - "arena": "models", - "category": "uicomponent", - "elo": 992, - "win_rate": 19.5, - "rank": 121 - }, - { - "arena": "models", - "category": "website", - "elo": 1035, - "win_rate": 22.2, - "rank": 127 - } - ], - "artificial_analysis": { - "intelligence_index": null, - "coding_index": 31.1, - "agentic_index": 1.6 - } - }, - "reasoning": { - "mandatory": false, - "default_enabled": true, - "supported_efforts": ["high", "medium", "low", "none"], - "default_effort": "medium" - } - }, - { - "id": "inception/mercury-2.5", - "canonical_slug": "inception/mercury-2.5-20260908", - "hugging_face_id": null, - "name": "Inception: Mercury 2.5", - "created": 1788892137, - "description": "Mercury 2.5 is the fastest reasoning LLM, and the latest diffusion LLM (dLLM) from Inception. Instead of generating tokens sequentially, Mercury 2.5 produces and refines multiple tokens in parallel, achieving...", - "context_length": 260000, - "architecture": { - "modality": "text->text", - "input_modalities": ["text"], - "output_modalities": ["text"], - "tokenizer": "Other", - "instruct_type": null - }, - "pricing": { - "prompt": "0.00000004", - "completion": "0.00000015", - "input_cache_read": "0.000000004" - }, - "top_provider": { - "context_length": 260000, - "max_completion_tokens": 65536, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "include_reasoning", - "max_tokens", - "reasoning", - "reasoning_effort", - "response_format", - "stop", - "structured_outputs", - "temperature", - "tool_choice", - "tools" - ], - "default_parameters": {}, - "supported_voices": null, - "knowledge_cutoff": null, - "expiration_date": "2026-11-08", - "links": { - "details": "/api/v1/models/inception/mercury-2.5-20260908/endpoints" - }, - "endpoints": [ - "/api/v1/chat/completions", - "/api/v1/completions", - "/api/v1/messages", - "/api/v1/responses" - ], - "reasoning": { - "mandatory": false, - "default_enabled": true, - "supported_efforts": ["high", "medium", "low", "none"], - "default_effort": "medium" - } - }, - { - "id": "inception/mercury-3", - "canonical_slug": "inception/mercury-3-20261019", - "hugging_face_id": null, - "name": "Inception: Mercury 3", - "created": 1792158337, - "description": "Mercury 3 is a diffusion-based language model from Inception, and the lab's most capable model to date. It is suited for agentic workflows and real-time applications where latency compounds, such...", - "context_length": 1000000, - "architecture": { - "modality": "text->text", - "input_modalities": ["text"], - "output_modalities": ["text"], - "tokenizer": "Other", - "instruct_type": null - }, - "pricing": { - "prompt": "0.0000001", - "completion": "0.00000035", - "input_cache_read": "0.00000001" - }, - "top_provider": { - "context_length": 1000000, - "max_completion_tokens": 131072, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "include_reasoning", - "max_tokens", - "reasoning", - "reasoning_effort", - "response_format", - "stop", - "structured_outputs", - "temperature", - "tool_choice", - "tools" - ], - "default_parameters": {}, - "supported_voices": null, - "knowledge_cutoff": null, - "expiration_date": "2026-11-08", - "links": { - "details": "/api/v1/models/inception/mercury-3-20261019/endpoints" - }, - "endpoints": [ - "/api/v1/chat/completions", - "/api/v1/completions", - "/api/v1/messages", - "/api/v1/responses" - ], - "benchmarks": { - "design_arena": [ - { - "arena": "models", - "category": "codecategories", - "elo": 1230, - "win_rate": 45.6, - "rank": 51 - }, - { - "arena": "models", - "category": "dataviz", - "elo": 1209, - "win_rate": 45.4, - "rank": 56 - }, - { - "arena": "models", - "category": "gamedev", - "elo": 1215, - "win_rate": 44.1, - "rank": 49 - }, - { - "arena": "models", - "category": "svg", - "elo": 1175, - "win_rate": 42.6, - "rank": 41 - }, - { - "arena": "models", - "category": "uicomponent", - "elo": 1231, - "win_rate": 45.5, - "rank": 50 - }, - { - "arena": "models", - "category": "website", - "elo": 1233, - "win_rate": 46, - "rank": 54 - } - ] - }, - "reasoning": { - "mandatory": false, - "default_enabled": true, - "supported_efforts": ["high", "medium", "low", "none"], - "default_effort": "medium" - } - }, { "id": "inclusionai/ling-3.0-flash", "canonical_slug": "inclusionai/ling-3.0-flash-20260723", @@ -15280,7 +15999,7 @@ { "id": "inclusionai/ling-3.1-flash", "canonical_slug": "inclusionai/ling-3.1-flash-20261002", - "hugging_face_id": null, + "hugging_face_id": "inclusionAI/Ling-3.1-flash", "name": "inclusionAI: Ling 3.1 Flash", "created": 1790950024, "description": "Ling 3.1 Flash is a hybrid reasoning mixture-of-experts model from inclusionAI, with 25B active parameters out of 560B total.", @@ -15293,9 +16012,9 @@ "instruct_type": null }, "pricing": { - "prompt": "0.000000075", - "completion": "0.000000225", - "input_cache_read": "0.000000015" + "prompt": "0.000000045", + "completion": "0.000000135", + "input_cache_read": "0.000000009" }, "top_provider": { "context_length": 1000000, @@ -15306,17 +16025,13 @@ "supported_parameters": [ "frequency_penalty", "include_reasoning", - "logit_bias", "logprobs", "max_tokens", - "min_p", "presence_penalty", "reasoning", "repetition_penalty", - "response_format", "seed", "stop", - "structured_outputs", "temperature", "tool_choice", "tools", @@ -15337,6 +16052,73 @@ "/api/v1/messages", "/api/v1/responses" ], + "benchmarks": { + "design_arena": [], + "artificial_analysis": { + "intelligence_index": 29.6, + "coding_index": null, + "agentic_index": null + } + }, + "reasoning": { + "mandatory": false, + "default_enabled": true + } + }, + { + "id": "inclusionai/ling-3.2-flash:free", + "canonical_slug": "inclusionai/ling-3.2-flash-20261113", + "hugging_face_id": "inclusionAI/Ling-3.2-flash", + "name": "inclusionAI: Ling 3.2 Flash (free)", + "created": 1794591958, + "description": "Ling 3.2 Flash is a hybrid reasoning model from inclusionAI that accepts text and image input, with a 1M-token context window and up to 200 images per request. Thinking can...", + "context_length": 1048576, + "architecture": { + "modality": "text+image->text", + "input_modalities": ["text", "image"], + "output_modalities": ["text"], + "tokenizer": "Other", + "instruct_type": null + }, + "pricing": { + "prompt": "0", + "completion": "0" + }, + "top_provider": { + "context_length": 1048576, + "max_completion_tokens": 262144, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "frequency_penalty", + "include_reasoning", + "max_tokens", + "presence_penalty", + "reasoning", + "response_format", + "seed", + "stop", + "structured_outputs", + "temperature", + "tool_choice", + "tools", + "top_k", + "top_p" + ], + "default_parameters": {}, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/inclusionai/ling-3.2-flash-20261113/endpoints" + }, + "endpoints": [ + "/api/v1/chat/completions", + "/api/v1/completions", + "/api/v1/messages", + "/api/v1/responses" + ], "reasoning": { "mandatory": false, "default_enabled": true @@ -15394,7 +16176,8 @@ "/api/v1/chat/completions", "/api/v1/completions", "/api/v1/messages", - "/api/v1/responses" + "/api/v1/responses", + "/api/alpha/extractions" ] }, { @@ -15449,17 +16232,18 @@ "/api/v1/chat/completions", "/api/v1/completions", "/api/v1/messages", - "/api/v1/responses" + "/api/v1/responses", + "/api/alpha/extractions" ] }, { - "id": "liquid/lfm-2.5-2.6b", - "canonical_slug": "liquid/lfm-2.5-2.6b-20260811", - "hugging_face_id": "LiquidAI/LFM2.5-2.6B", - "name": "LiquidAI: LFM2.5-2.6B", - "created": 1786470519, - "description": "LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...", - "context_length": 128000, + "id": "kt/midm-k-3.0-pro", + "canonical_slug": "kt/midm-k-3.0-pro", + "hugging_face_id": null, + "name": "KT: Mi:dm K 3.0 Pro", + "created": 1793897701, + "description": "Mi:dm K 3.0 Pro is a Mixture-of-Experts reasoning model from KT, with 120B total and 12B active parameters. It uses a hybrid architecture that mixes Mamba, MoE and attention layers.", + "context_length": 261795, "architecture": { "modality": "text->text", "input_modalities": ["text"], @@ -15468,10 +16252,70 @@ "instruct_type": null }, "pricing": { - "prompt": "0.00000035", - "completion": "0.0000005", + "prompt": "0.0000002", + "completion": "0.0000008", "input_cache_read": "0.00000004" }, + "top_provider": { + "context_length": 261795, + "max_completion_tokens": 235615, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "frequency_penalty", + "include_reasoning", + "logprobs", + "max_tokens", + "presence_penalty", + "reasoning", + "repetition_penalty", + "response_format", + "structured_outputs", + "temperature", + "tool_choice", + "tools", + "top_k", + "top_logprobs", + "top_p" + ], + "default_parameters": {}, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/kt/midm-k-3.0-pro/endpoints" + }, + "endpoints": [ + "/api/v1/chat/completions", + "/api/v1/completions", + "/api/v1/messages", + "/api/v1/responses" + ], + "reasoning": { + "mandatory": false + } + }, + { + "id": "liquid/lfm-2.5-24b-a2b", + "canonical_slug": "liquid/lfm-2.5-24b-a2b-20261012", + "hugging_face_id": "LiquidAI/LFM2.5-24B-A2B", + "name": "LiquidAI: LFM2.5-24B-A2B", + "created": 1791912025, + "description": "LFM2.5-24B-A2B is a mixture-of-experts reasoning model from Liquid AI with 24B total and 2.45B active parameters. It always reasons before answering and is built for agents that call tools. Liquid...", + "context_length": 128000, + "architecture": { + "modality": "text->text", + "input_modalities": ["text"], + "output_modalities": ["text"], + "tokenizer": "Other", + "instruct_type": null + }, + "pricing": { + "prompt": "0.00000005", + "completion": "0.0000007", + "input_cache_read": "0.000000025" + }, "top_provider": { "context_length": 128000, "max_completion_tokens": 8192, @@ -15502,13 +16346,13 @@ "default_parameters": { "temperature": 0.1, "top_k": 50, - "repetition_penalty": 1.1 + "repetition_penalty": 1.05 }, "supported_voices": null, "knowledge_cutoff": null, "expiration_date": null, "links": { - "details": "/api/v1/models/liquid/lfm-2.5-2.6b-20260811/endpoints" + "details": "/api/v1/models/liquid/lfm-2.5-24b-a2b-20261012/endpoints" }, "endpoints": [ "/api/v1/chat/completions", @@ -15516,26 +16360,18 @@ "/api/v1/messages", "/api/v1/responses" ], - "benchmarks": { - "design_arena": [], - "artificial_analysis": { - "intelligence_index": null, - "coding_index": 7.7, - "agentic_index": null - } - }, "reasoning": { "mandatory": true } }, { - "id": "liquid/lfm-2.5-2.6b:free", - "canonical_slug": "liquid/lfm-2.5-2.6b-20260811", - "hugging_face_id": "LiquidAI/LFM2.5-2.6B", - "name": "LiquidAI: LFM2.5-2.6B (free)", - "created": 1786470519, - "description": "LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...", - "context_length": 65536, + "id": "liquid/lfm-3-1.7b", + "canonical_slug": "liquid/lfm-3-1.7b-20261106", + "hugging_face_id": "LiquidAI/LFM3-1.7B", + "name": "LiquidAI: LFM3-1.7B", + "created": 1794009477, + "description": "A compact 1.7B-parameter text model with a 256K-token context, post-trained for agents, tool calling, and structured outputs. It reasons before it answers. Prompts and outputs may be retained and used...", + "context_length": 262144, "architecture": { "modality": "text->text", "input_modalities": ["text"], @@ -15544,11 +16380,12 @@ "instruct_type": null }, "pricing": { - "prompt": "0", - "completion": "0" + "prompt": "0.00000008", + "completion": "0.0000002", + "input_cache_read": "0.00000002" }, "top_provider": { - "context_length": 65536, + "context_length": 262144, "max_completion_tokens": 8192, "is_moderated": false }, @@ -15583,7 +16420,7 @@ "knowledge_cutoff": null, "expiration_date": null, "links": { - "details": "/api/v1/models/liquid/lfm-2.5-2.6b-20260811/endpoints" + "details": "/api/v1/models/liquid/lfm-3-1.7b-20261106/endpoints" }, "endpoints": [ "/api/v1/chat/completions", @@ -15591,26 +16428,18 @@ "/api/v1/messages", "/api/v1/responses" ], - "benchmarks": { - "design_arena": [], - "artificial_analysis": { - "intelligence_index": null, - "coding_index": 7.7, - "agentic_index": null - } - }, "reasoning": { "mandatory": true } }, { - "id": "liquid/lfm-2.5-24b-a2b", - "canonical_slug": "liquid/lfm-2.5-24b-a2b-20261012", - "hugging_face_id": "LiquidAI/LFM2.5-24B-A2B", - "name": "LiquidAI: LFM2.5-24B-A2B", - "created": 1791912025, - "description": "LFM2.5-24B-A2B is a mixture-of-experts reasoning model from Liquid AI with 24B total and 2.45B active parameters. It always reasons before answering and is built for agents that call tools. Liquid...", - "context_length": 128000, + "id": "liquid/lfm-3-1.7b:free", + "canonical_slug": "liquid/lfm-3-1.7b-20261106", + "hugging_face_id": "LiquidAI/LFM3-1.7B", + "name": "LiquidAI: LFM3-1.7B (free)", + "created": 1794009477, + "description": "A compact 1.7B-parameter text model with a 256K-token context, post-trained for agents, tool calling, and structured outputs. It reasons before it answers. Prompts and outputs may be retained and used...", + "context_length": 262144, "architecture": { "modality": "text->text", "input_modalities": ["text"], @@ -15619,12 +16448,11 @@ "instruct_type": null }, "pricing": { - "prompt": "0.00000005", - "completion": "0.0000007", - "input_cache_read": "0.000000025" + "prompt": "0", + "completion": "0" }, "top_provider": { - "context_length": 128000, + "context_length": 262144, "max_completion_tokens": 8192, "is_moderated": false }, @@ -15653,13 +16481,13 @@ "default_parameters": { "temperature": 0.1, "top_k": 50, - "repetition_penalty": 1.05 + "repetition_penalty": 1.1 }, "supported_voices": null, "knowledge_cutoff": null, "expiration_date": null, "links": { - "details": "/api/v1/models/liquid/lfm-2.5-24b-a2b-20261012/endpoints" + "details": "/api/v1/models/liquid/lfm-3-1.7b-20261106/endpoints" }, "endpoints": [ "/api/v1/chat/completions", @@ -15687,8 +16515,9 @@ "instruct_type": "alpaca" }, "pricing": { - "prompt": "0.0000004", - "completion": "0.00000075" + "prompt": "0.0000003", + "completion": "0.0000005", + "input_cache_read": "0.0000003" }, "top_provider": { "context_length": 8000, @@ -15826,6 +16655,8 @@ "max_tokens", "stop", "temperature", + "tool_choice", + "tools", "top_k", "top_p" ], @@ -15859,13 +16690,12 @@ "instruct_type": "llama3" }, "pricing": { - "prompt": "0.00000005", - "completion": "0.00000008", - "input_cache_read": "0.000000025" + "prompt": "0.00000002", + "completion": "0.00000004" }, "top_provider": { "context_length": 131072, - "max_completion_tokens": 117964, + "max_completion_tokens": 16384, "is_moderated": false }, "per_request_limits": null, @@ -15951,7 +16781,7 @@ "default_parameters": {}, "supported_voices": null, "knowledge_cutoff": "2023-12-31", - "expiration_date": "2026-11-15", + "expiration_date": "2026-11-20", "links": { "details": "/api/v1/models/meta-llama/llama-3.2-1b-instruct/endpoints" }, @@ -16006,7 +16836,7 @@ "default_parameters": {}, "supported_voices": null, "knowledge_cutoff": "2023-12-31", - "expiration_date": "2026-11-15", + "expiration_date": "2026-11-20", "links": { "details": "/api/v1/models/meta-llama/llama-3.2-3b-instruct/endpoints" }, @@ -16033,13 +16863,13 @@ "instruct_type": "llama3" }, "pricing": { - "prompt": "0.00000059", - "completion": "0.00000079", - "input_cache_read": "0.000000295" + "prompt": "0.00000071", + "completion": "0.00000071", + "input_cache_read": "0.00000071" }, "top_provider": { - "context_length": 131072, - "max_completion_tokens": 32768, + "context_length": 128000, + "max_completion_tokens": 115200, "is_moderated": false }, "per_request_limits": null, @@ -16146,44 +16976,44 @@ { "arena": "models", "category": "3d", - "elo": 898, + "elo": 881, "win_rate": 40.2, - "rank": 124 + "rank": 131 }, { "arena": "models", "category": "codecategories", - "elo": 878, + "elo": 869, "win_rate": 35.8, - "rank": 139 + "rank": 143 }, { "arena": "models", "category": "dataviz", "elo": 882, "win_rate": 38.4, - "rank": 131 + "rank": 133 }, { "arena": "models", "category": "gamedev", - "elo": 836, + "elo": 827, "win_rate": 33.7, - "rank": 140 + "rank": 144 }, { "arena": "models", "category": "uicomponent", - "elo": 894, + "elo": 889, "win_rate": 40.8, - "rank": 133 + "rank": 138 }, { "arena": "models", "category": "website", - "elo": 869, + "elo": 863, "win_rate": 34.4, - "rank": 142 + "rank": 146 } ], "artificial_analysis": { @@ -16253,37 +17083,37 @@ { "arena": "models", "category": "codecategories", - "elo": 788, + "elo": 779, "win_rate": 26.6, - "rank": 142 + "rank": 146 }, { "arena": "models", "category": "dataviz", "elo": 896, "win_rate": 39.3, - "rank": 129 + "rank": 131 }, { "arena": "models", "category": "gamedev", - "elo": 773, + "elo": 762, "win_rate": 27.4, - "rank": 141 + "rank": 145 }, { "arena": "models", "category": "uicomponent", - "elo": 762, + "elo": 758, "win_rate": 25.5, - "rank": 137 + "rank": 141 }, { "arena": "models", "category": "website", - "elo": 750, + "elo": 742, "win_rate": 22.7, - "rank": 148 + "rank": 152 } ], "artificial_analysis": { @@ -16345,6 +17175,68 @@ "/api/v1/responses" ] }, + { + "id": "meta/muse-ember", + "canonical_slug": "meta/muse-ember-20261109", + "hugging_face_id": null, + "name": "Meta: Muse Ember", + "created": 1794247648, + "description": "Muse Ember is the smallest and most efficient model from Meta that’s designed for complex reasoning execution and the work agents repeat all day: tool calls, coding agent subtasks, routing,...", + "context_length": 1048576, + "architecture": { + "modality": "text+image+file+audio+video->text", + "input_modalities": ["text", "image", "video", "file", "audio"], + "output_modalities": ["text"], + "tokenizer": "Other", + "instruct_type": null + }, + "pricing": { + "prompt": "0.0000001", + "completion": "0.0000005", + "web_search": "0.0025", + "input_cache_read": "0.000000004", + "input_cache_write": "0.000000125" + }, + "top_provider": { + "context_length": 1048576, + "max_completion_tokens": 943718, + "is_moderated": true + }, + "per_request_limits": null, + "supported_parameters": [ + "include_reasoning", + "max_tokens", + "reasoning", + "reasoning_effort", + "repetition_penalty", + "response_format", + "seed", + "structured_outputs", + "temperature", + "tool_choice", + "tools", + "top_k", + "top_p" + ], + "default_parameters": {}, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/meta/muse-ember-20261109/endpoints" + }, + "endpoints": [ + "/api/v1/chat/completions", + "/api/v1/completions", + "/api/v1/messages", + "/api/v1/responses" + ], + "reasoning": { + "mandatory": true, + "supported_efforts": ["max", "xhigh", "high", "medium", "low", "minimal"], + "default_effort": "max" + } + }, { "id": "meta/muse-glimmer-30b", "canonical_slug": "meta/muse-glimmer-30b-20260810", @@ -16375,6 +17267,7 @@ "frequency_penalty", "include_reasoning", "logit_bias", + "logprobs", "max_tokens", "min_p", "presence_penalty", @@ -16389,6 +17282,7 @@ "tool_choice", "tools", "top_k", + "top_logprobs", "top_p" ], "default_parameters": { @@ -16410,33 +17304,148 @@ ], "benchmarks": { "design_arena": [ + { + "arena": "models", + "category": "3d", + "elo": 1068, + "win_rate": 25.4, + "rank": 101 + }, { "arena": "models", "category": "codecategories", - "elo": 1152, - "win_rate": 34.9, - "rank": 85 + "elo": 1159, + "win_rate": 35.5, + "rank": 82 }, { "arena": "models", "category": "gamedev", - "elo": 1107, - "win_rate": 30.1, + "elo": 1110, + "win_rate": 29.9, "rank": 95 }, { "arena": "models", "category": "uicomponent", - "elo": 1195, - "win_rate": 39.1, + "elo": 1201, + "win_rate": 40, "rank": 63 }, { "arena": "models", "category": "website", - "elo": 1169, - "win_rate": 37.1, + "elo": 1184, + "win_rate": 38.9, + "rank": 74 + } + ], + "artificial_analysis": { + "intelligence_index": 6.3, + "coding_index": 49, + "agentic_index": 8.5 + } + }, + "reasoning": { + "mandatory": true, + "supported_efforts": ["xhigh", "high", "medium", "low"], + "default_effort": "medium" + } + }, + { + "id": "meta/muse-glimmer-30b:batch", + "canonical_slug": "meta/muse-glimmer-30b-20260810", + "hugging_face_id": "meta-models/Muse-Glimmer-30B", + "name": "Meta: Muse Glimmer 30B (batch)", + "created": 1786302394, + "description": "Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon...", + "context_length": 131072, + "architecture": { + "modality": "text+image->text", + "input_modalities": ["text", "image"], + "output_modalities": ["text"], + "tokenizer": "Other", + "instruct_type": null + }, + "pricing": { + "prompt": "0.00000024", + "completion": "0.00000096", + "input_cache_read": "0.000000032" + }, + "top_provider": { + "context_length": 131072, + "max_completion_tokens": 16384, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "frequency_penalty", + "include_reasoning", + "logit_bias", + "max_tokens", + "min_p", + "presence_penalty", + "reasoning", + "reasoning_effort", + "repetition_penalty", + "response_format", + "seed", + "stop", + "structured_outputs", + "temperature", + "tool_choice", + "tools", + "top_k", + "top_p" + ], + "default_parameters": { + "temperature": 1, + "top_p": 0.95, + "top_k": 64 + }, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/meta/muse-glimmer-30b-20260810/endpoints" + }, + "endpoints": ["/api/v1/batches"], + "benchmarks": { + "design_arena": [ + { + "arena": "models", + "category": "3d", + "elo": 1068, + "win_rate": 25.4, + "rank": 101 + }, + { + "arena": "models", + "category": "codecategories", + "elo": 1159, + "win_rate": 35.5, "rank": 82 + }, + { + "arena": "models", + "category": "gamedev", + "elo": 1110, + "win_rate": 29.9, + "rank": 95 + }, + { + "arena": "models", + "category": "uicomponent", + "elo": 1201, + "win_rate": 40, + "rank": 63 + }, + { + "arena": "models", + "category": "website", + "elo": 1184, + "win_rate": 38.9, + "rank": 74 } ], "artificial_analysis": { @@ -16510,15 +17519,15 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1128, - "win_rate": 48.2, - "rank": 13 + "elo": 1127, + "win_rate": 48.5, + "rank": 12 }, { "arena": "agents", "category": "androidnative", - "elo": 1172, - "win_rate": 47.1, + "elo": 1174, + "win_rate": 48.7, "rank": 21 }, { @@ -16528,117 +17537,124 @@ "win_rate": 35.9, "rank": 19 }, + { + "arena": "agents", + "category": "codetovideo", + "elo": 1074, + "win_rate": 37.5, + "rank": 22 + }, { "arena": "agents", "category": "fullstack", - "elo": 1193, - "win_rate": 45.4, - "rank": 18 + "elo": 1168, + "win_rate": 44.6, + "rank": 22 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1103, + "elo": 1083, "win_rate": 39.8, - "rank": 29 + "rank": 30 }, { "arena": "agents", "category": "htmlslides", - "elo": 1091, - "win_rate": 51.8, + "elo": 1090, + "win_rate": 51.9, "rank": 12 }, { "arena": "agents", "category": "mobileapps", - "elo": 1175, - "win_rate": 46.3, - "rank": 25 + "elo": 1170, + "win_rate": 46.2, + "rank": 27 }, { "arena": "agents", "category": "pdf", - "elo": 1163, - "win_rate": 49.4, - "rank": 18 + "elo": 1151, + "win_rate": 47.8, + "rank": 24 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1114, - "win_rate": 44.4, + "elo": 1124, + "win_rate": 44.3, "rank": 23 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1077, - "win_rate": 39.7, - "rank": 22 + "elo": 1047, + "win_rate": 41.8, + "rank": 19 }, { "arena": "agents", "category": "webapps", - "elo": 1192, - "win_rate": 49, - "rank": 21 + "elo": 1184, + "win_rate": 48.7, + "rank": 25 }, { "arena": "models", "category": "3d", - "elo": 1257, - "win_rate": 48.9, - "rank": 30 + "elo": 1238, + "win_rate": 48.5, + "rank": 35 }, { "arena": "models", "category": "asciiart", - "elo": 1260, - "win_rate": 53, + "elo": 1255, + "win_rate": 52.9, "rank": 15 }, { "arena": "models", "category": "codecategories", - "elo": 1274, + "elo": 1266, "win_rate": 51.1, - "rank": 28 + "rank": 30 }, { "arena": "models", "category": "dataviz", - "elo": 1267, - "win_rate": 50.1, - "rank": 27 + "elo": 1263, + "win_rate": 49.9, + "rank": 29 }, { "arena": "models", "category": "gamedev", - "elo": 1269, - "win_rate": 48.1, - "rank": 25 + "elo": 1257, + "win_rate": 47.5, + "rank": 31 }, { "arena": "models", "category": "svg", - "elo": 1231, + "elo": 1223, "win_rate": 49.1, - "rank": 19 + "rank": 22 }, { "arena": "models", "category": "uicomponent", - "elo": 1282, - "win_rate": 50.8, - "rank": 25 + "elo": 1280, + "win_rate": 51.2, + "rank": 28 }, { "arena": "models", "category": "website", - "elo": 1269, - "win_rate": 51.3, - "rank": 30 + "elo": 1263, + "win_rate": 51.5, + "rank": 32 } ], "artificial_analysis": { @@ -16712,16 +17728,16 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1129, - "win_rate": 42.9, - "rank": 12 + "elo": 1122, + "win_rate": 43, + "rank": 15 }, { "arena": "agents", "category": "androidnative", - "elo": 1221, - "win_rate": 53.2, - "rank": 11 + "elo": 1210, + "win_rate": 52.5, + "rank": 13 }, { "arena": "agents", @@ -16730,110 +17746,117 @@ "win_rate": 42.9, "rank": 16 }, + { + "arena": "agents", + "category": "codetovideo", + "elo": 1087, + "win_rate": 39.2, + "rank": 21 + }, { "arena": "agents", "category": "fullstack", - "elo": 1203, - "win_rate": 48, - "rank": 17 + "elo": 1181, + "win_rate": 47.4, + "rank": 19 }, { "arena": "agents", "category": "htmlslides", - "elo": 1031, - "win_rate": 40, + "elo": 1028, + "win_rate": 39.9, "rank": 22 }, { "arena": "agents", "category": "mobileapps", - "elo": 1182, - "win_rate": 48, - "rank": 24 + "elo": 1173, + "win_rate": 47.4, + "rank": 26 }, { "arena": "agents", "category": "pdf", - "elo": 1120, - "win_rate": 39.5, - "rank": 25 + "elo": 1115, + "win_rate": 40.8, + "rank": 29 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1149, + "elo": 1159, "win_rate": 48.3, "rank": 19 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1033, - "win_rate": 43.3, - "rank": 27 + "elo": 1016, + "win_rate": 42.9, + "rank": 25 }, { "arena": "agents", "category": "webapps", - "elo": 1204, - "win_rate": 49.7, - "rank": 19 + "elo": 1199, + "win_rate": 49.8, + "rank": 21 }, { "arena": "models", "category": "3d", - "elo": 1300, - "win_rate": 51.9, - "rank": 20 + "elo": 1283, + "win_rate": 51.8, + "rank": 23 }, { "arena": "models", "category": "asciiart", - "elo": 1279, - "win_rate": 55, + "elo": 1277, + "win_rate": 54.8, "rank": 7 }, { "arena": "models", "category": "codecategories", - "elo": 1311, - "win_rate": 52.1, - "rank": 12 + "elo": 1306, + "win_rate": 52.4, + "rank": 15 }, { "arena": "models", "category": "dataviz", - "elo": 1328, - "win_rate": 56.6, - "rank": 10 + "elo": 1329, + "win_rate": 57.2, + "rank": 8 }, { "arena": "models", "category": "gamedev", - "elo": 1300, - "win_rate": 50.4, - "rank": 19 + "elo": 1294, + "win_rate": 50.5, + "rank": 21 }, { "arena": "models", "category": "svg", - "elo": 1278, - "win_rate": 54.3, - "rank": 13 + "elo": 1272, + "win_rate": 54.4, + "rank": 15 }, { "arena": "models", "category": "uicomponent", - "elo": 1302, - "win_rate": 52.2, - "rank": 17 + "elo": 1299, + "win_rate": 52.4, + "rank": 18 }, { "arena": "models", "category": "website", - "elo": 1312, - "win_rate": 52.2, - "rank": 9 + "elo": 1309, + "win_rate": 52.6, + "rank": 13 } ], "artificial_analysis": { @@ -16942,6 +17965,7 @@ "reasoning_effort", "repetition_penalty", "response_format", + "seed", "structured_outputs", "temperature", "tool_choice", @@ -16968,7 +17992,7 @@ "arena": "agents", "category": "androidnative", "elo": 1293, - "win_rate": 62, + "win_rate": 65, "rank": 2 }, { @@ -16978,110 +18002,117 @@ "win_rate": 56.3, "rank": 11 }, + { + "arena": "agents", + "category": "codetovideo", + "elo": 1199, + "win_rate": 54.3, + "rank": 8 + }, { "arena": "agents", "category": "fullstack", - "elo": 1307, + "elo": 1286, "win_rate": 60.7, - "rank": 4 + "rank": 6 }, { "arena": "agents", "category": "mobileapps", - "elo": 1216, - "win_rate": 49.6, - "rank": 15 + "elo": 1210, + "win_rate": 49.5, + "rank": 16 }, { "arena": "agents", "category": "pdf", - "elo": 1157, - "win_rate": 47.1, - "rank": 20 + "elo": 1183, + "win_rate": 50.6, + "rank": 19 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1201, - "win_rate": 51.4, - "rank": 10 + "elo": 1213, + "win_rate": 51.3, + "rank": 12 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1107, - "win_rate": 31.2, - "rank": 18 + "elo": 1118, + "win_rate": 28.8, + "rank": 17 }, { "arena": "agents", "category": "webapps", "elo": 1284, - "win_rate": 55, - "rank": 7 + "win_rate": 55.7, + "rank": 5 }, { "arena": "models", "category": "3d", - "elo": 1393, - "win_rate": 63.5, - "rank": 7 + "elo": 1380, + "win_rate": 63.4, + "rank": 10 }, { "arena": "models", "category": "asciiart", - "elo": 1296, - "win_rate": 55.4, - "rank": 6 + "elo": 1334, + "win_rate": 63.7, + "rank": 3 }, { "arena": "models", "category": "codecategories", - "elo": 1350, - "win_rate": 57, - "rank": 7 + "elo": 1353, + "win_rate": 58, + "rank": 5 }, { "arena": "models", "category": "dataviz", - "elo": 1341, - "win_rate": 57.9, + "elo": 1342, + "win_rate": 58.4, "rank": 6 }, { "arena": "models", "category": "gamedev", - "elo": 1344, - "win_rate": 56, - "rank": 9 + "elo": 1345, + "win_rate": 56.9, + "rank": 11 }, { "arena": "models", "category": "svg", - "elo": 1322, - "win_rate": 55.3, - "rank": 4 + "elo": 1314, + "win_rate": 55.1, + "rank": 5 }, { "arena": "models", "category": "uicomponent", - "elo": 1347, - "win_rate": 57.7, - "rank": 5 + "elo": 1353, + "win_rate": 59.3, + "rank": 7 }, { "arena": "models", "category": "website", - "elo": 1355, - "win_rate": 58.2, + "elo": 1360, + "win_rate": 59.4, "rank": 2 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1241, + "elo": 1218, "win_rate": 45.8, - "rank": 7 + "rank": 9 } ], "artificial_analysis": { @@ -17222,37 +18253,37 @@ { "arena": "models", "category": "3d", - "elo": 1257, - "win_rate": 46.8, - "rank": 31 + "elo": 1242, + "win_rate": 44, + "rank": 33 }, { "arena": "models", "category": "codecategories", "elo": 1301, - "win_rate": 51.1, - "rank": 16 + "win_rate": 51.4, + "rank": 17 }, { "arena": "models", "category": "gamedev", - "elo": 1269, - "win_rate": 49.8, - "rank": 26 + "elo": 1265, + "win_rate": 48.1, + "rank": 29 }, { "arena": "models", "category": "uicomponent", - "elo": 1329, - "win_rate": 53.4, - "rank": 13 + "elo": 1312, + "win_rate": 51.5, + "rank": 15 }, { "arena": "models", "category": "website", - "elo": 1303, - "win_rate": 50.9, - "rank": 13 + "elo": 1306, + "win_rate": 51.6, + "rank": 14 } ], "artificial_analysis": { @@ -17301,6 +18332,7 @@ "reasoning_effort", "repetition_penalty", "response_format", + "seed", "structured_outputs", "temperature", "tool_choice", @@ -17326,71 +18358,85 @@ { "arena": "agents", "category": "blender3d", - "elo": 1190, - "win_rate": 42.9, - "rank": 7 + "elo": 1156, + "win_rate": 36, + "rank": 8 + }, + { + "arena": "agents", + "category": "codetovideo", + "elo": 1207, + "win_rate": 56, + "rank": 6 }, { "arena": "agents", "category": "htmlslides", - "elo": 1133, - "win_rate": 13.9, + "elo": 1127, + "win_rate": 14, "rank": 7 }, + { + "arena": "agents", + "category": "pdf", + "elo": 1183, + "win_rate": 50.7, + "rank": 20 + }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1096, - "win_rate": 14.2, - "rank": 27 + "elo": 1029, + "win_rate": 13.2, + "rank": 30 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1288, - "win_rate": 49.7, - "rank": 7 + "elo": 1248, + "win_rate": 46.2, + "rank": 10 }, { "arena": "models", "category": "3d", - "elo": 1440, - "win_rate": 60.1, - "rank": 3 + "elo": 1431, + "win_rate": 60.7, + "rank": 4 }, { "arena": "models", "category": "codecategories", - "elo": 1386, - "win_rate": 61.9, + "elo": 1392, + "win_rate": 62.5, "rank": 1 }, { "arena": "models", "category": "dataviz", - "elo": 1303, - "win_rate": 55, - "rank": 14 + "elo": 1288, + "win_rate": 55.1, + "rank": 15 }, { "arena": "models", "category": "gamedev", - "elo": 1413, - "win_rate": 61.6, - "rank": 4 + "elo": 1414, + "win_rate": 62.1, + "rank": 2 }, { "arena": "models", "category": "uicomponent", - "elo": 1379, - "win_rate": 63.2, - "rank": 2 + "elo": 1362, + "win_rate": 61.3, + "rank": 5 }, { "arena": "models", "category": "website", - "elo": 1370, - "win_rate": 62.8, + "elo": 1378, + "win_rate": 63.8, "rank": 1 } ], @@ -17460,67 +18506,6 @@ "/api/v1/responses" ] }, - { - "id": "minimax/minimax-m1", - "canonical_slug": "minimax/minimax-m1", - "hugging_face_id": "", - "name": "MiniMax: MiniMax M1", - "created": 1750200414, - "description": "MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom \"lightning attention\" mechanism, allowing it...", - "context_length": 1000000, - "architecture": { - "modality": "text->text", - "input_modalities": ["text"], - "output_modalities": ["text"], - "tokenizer": "Other", - "instruct_type": null - }, - "pricing": { - "prompt": "0.00000055", - "completion": "0.0000022" - }, - "top_provider": { - "context_length": 1000000, - "max_completion_tokens": 40000, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "frequency_penalty", - "include_reasoning", - "max_tokens", - "presence_penalty", - "reasoning", - "repetition_penalty", - "seed", - "stop", - "temperature", - "tool_choice", - "tools", - "top_k", - "top_p" - ], - "default_parameters": { - "temperature": null, - "top_p": null, - "frequency_penalty": null - }, - "supported_voices": null, - "knowledge_cutoff": "2024-06-30", - "expiration_date": null, - "links": { - "details": "/api/v1/models/minimax/minimax-m1/endpoints" - }, - "endpoints": [ - "/api/v1/chat/completions", - "/api/v1/completions", - "/api/v1/messages", - "/api/v1/responses" - ], - "reasoning": { - "mandatory": false - } - }, { "id": "minimax/minimax-m2.5", "canonical_slug": "minimax/minimax-m2.5-20260211", @@ -17528,7 +18513,7 @@ "name": "MiniMax: MiniMax M2.5", "created": 1770908502, "description": "MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1...", - "context_length": 204800, + "context_length": 198000, "architecture": { "modality": "text->text", "input_modalities": ["text"], @@ -17593,51 +18578,51 @@ { "arena": "models", "category": "3d", - "elo": 1167, + "elo": 1150, "win_rate": 57.6, - "rank": 62 + "rank": 68 }, { "arena": "models", "category": "codecategories", - "elo": 1205, + "elo": 1196, "win_rate": 56.8, - "rank": 60 + "rank": 65 }, { "arena": "models", "category": "dataviz", - "elo": 1172, + "elo": 1169, "win_rate": 51.2, - "rank": 72 + "rank": 71 }, { "arena": "models", "category": "gamedev", - "elo": 1176, + "elo": 1166, "win_rate": 55.5, - "rank": 65 + "rank": 70 }, { "arena": "models", "category": "svg", - "elo": 1146, + "elo": 1138, "win_rate": 54.5, - "rank": 50 + "rank": 54 }, { "arena": "models", "category": "uicomponent", - "elo": 1167, + "elo": 1163, "win_rate": 53.4, - "rank": 73 + "rank": 77 }, { "arena": "models", "category": "website", - "elo": 1222, + "elo": 1214, "win_rate": 57.5, - "rank": 59 + "rank": 63 } ] }, @@ -17652,7 +18637,7 @@ "name": "MiniMax: MiniMax M2.7", "created": 1773836697, "description": "MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...", - "context_length": 204800, + "context_length": 196608, "architecture": { "modality": "text->text", "input_modalities": ["text"], @@ -17672,21 +18657,15 @@ }, "per_request_limits": null, "supported_parameters": [ - "frequency_penalty", "include_reasoning", - "logit_bias", "max_tokens", - "min_p", - "presence_penalty", "reasoning", - "repetition_penalty", "response_format", "seed", "stop", "temperature", "tool_choice", "tools", - "top_k", "top_p" ], "default_parameters": { @@ -17714,58 +18693,58 @@ { "arena": "models", "category": "3d", - "elo": 1191, + "elo": 1175, "win_rate": 49.9, - "rank": 54 + "rank": 58 }, { "arena": "models", "category": "asciiart", - "elo": 1133, - "win_rate": 46.2, + "elo": 1129, + "win_rate": 45.9, "rank": 54 }, { "arena": "models", "category": "codecategories", - "elo": 1231, + "elo": 1223, "win_rate": 50.7, - "rank": 50 + "rank": 57 }, { "arena": "models", "category": "dataviz", - "elo": 1233, - "win_rate": 52.3, - "rank": 46 + "elo": 1230, + "win_rate": 52.4, + "rank": 44 }, { "arena": "models", "category": "gamedev", - "elo": 1208, - "win_rate": 49.2, - "rank": 52 + "elo": 1198, + "win_rate": 49.1, + "rank": 57 }, { "arena": "models", "category": "svg", - "elo": 1132, - "win_rate": 46.9, - "rank": 58 + "elo": 1123, + "win_rate": 46.5, + "rank": 61 }, { "arena": "models", "category": "uicomponent", - "elo": 1206, + "elo": 1202, "win_rate": 48.5, - "rank": 59 + "rank": 61 }, { "arena": "models", "category": "website", - "elo": 1241, + "elo": 1234, "win_rate": 51.3, - "rank": 48 + "rank": 54 } ], "artificial_analysis": { @@ -17850,135 +18829,340 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1114, - "win_rate": 44.9, + "elo": 1110, + "win_rate": 44.8, "rank": 18 }, { "arena": "agents", "category": "androidnative", - "elo": 1158, - "win_rate": 44.5, - "rank": 24 + "elo": 1156, + "win_rate": 45.1, + "rank": 25 }, { "arena": "agents", "category": "blender3d", - "elo": 1072, - "win_rate": 47.8, - "rank": 15 + "elo": 1089, + "win_rate": 43.2, + "rank": 14 }, { "arena": "agents", "category": "codetovideo", - "elo": 1223, - "win_rate": 56.4, - "rank": 6 + "elo": 1202, + "win_rate": 55.9, + "rank": 7 }, { "arena": "agents", "category": "fullstack", - "elo": 1191, - "win_rate": 47.2, - "rank": 19 + "elo": 1173, + "win_rate": 47.4, + "rank": 20 }, { "arena": "agents", "category": "htmlslides", "elo": 1076, - "win_rate": 46.7, + "win_rate": 46.6, "rank": 14 }, { "arena": "agents", "category": "mobileapps", - "elo": 1173, - "win_rate": 46.4, - "rank": 27 + "elo": 1169, + "win_rate": 46.5, + "rank": 29 }, { "arena": "agents", "category": "pdf", - "elo": 1280, - "win_rate": 62.2, - "rank": 4 + "elo": 1262, + "win_rate": 61.2, + "rank": 6 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1163, + "elo": 1171, "win_rate": 47.5, - "rank": 17 + "rank": 16 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1101, - "win_rate": 48.4, - "rank": 19 + "elo": 1161, + "win_rate": 40.1, + "rank": 15 }, { "arena": "agents", "category": "webapps", - "elo": 1191, - "win_rate": 47.6, + "elo": 1187, + "win_rate": 47.7, "rank": 23 }, { "arena": "models", "category": "3d", - "elo": 1206, + "elo": 1190, "win_rate": 50.1, - "rank": 47 + "rank": 53 }, { "arena": "models", "category": "asciiart", - "elo": 1155, - "win_rate": 46.1, + "elo": 1149, + "win_rate": 45.4, "rank": 43 }, { "arena": "models", "category": "codecategories", - "elo": 1245, + "elo": 1236, "win_rate": 50.5, - "rank": 43 + "rank": 48 }, { "arena": "models", "category": "dataviz", - "elo": 1234, - "win_rate": 51.2, + "elo": 1229, + "win_rate": 51, "rank": 45 }, { "arena": "models", "category": "gamedev", - "elo": 1211, - "win_rate": 45.6, - "rank": 50 + "elo": 1200, + "win_rate": 45.2, + "rank": 56 }, { "arena": "models", "category": "svg", - "elo": 1158, - "win_rate": 44.7, - "rank": 45 + "elo": 1146, + "win_rate": 43.9, + "rank": 49 }, { "arena": "models", "category": "uicomponent", - "elo": 1241, + "elo": 1235, + "win_rate": 50.2, + "rank": 48 + }, + { + "arena": "models", + "category": "website", + "elo": 1249, + "win_rate": 51.6, + "rank": 45 + } + ], + "artificial_analysis": { + "intelligence_index": 18.9, + "coding_index": 58.6, + "agentic_index": 29.5 + } + }, + "reasoning": { + "mandatory": false + } + }, + { + "id": "minimax/minimax-m3:batch", + "canonical_slug": "minimax/minimax-m3-20260531", + "hugging_face_id": "MiniMaxAI/Minimax-M3", + "name": "MiniMax: MiniMax M3 (batch)", + "created": 1780245374, + "description": "MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...", + "context_length": 524288, + "architecture": { + "modality": "text+image+video->text", + "input_modalities": ["text", "image", "video"], + "output_modalities": ["text"], + "tokenizer": "Other", + "instruct_type": null + }, + "pricing": { + "prompt": "0.000000224", + "completion": "0.00000088", + "input_cache_read": "0.0000000448" + }, + "top_provider": { + "context_length": 524288, + "max_completion_tokens": 512000, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "frequency_penalty", + "include_reasoning", + "logit_bias", + "max_tokens", + "min_p", + "presence_penalty", + "reasoning", + "repetition_penalty", + "response_format", + "seed", + "stop", + "temperature", + "tool_choice", + "tools", + "top_k", + "top_p" + ], + "default_parameters": { + "temperature": 1, + "top_p": 0.95, + "top_k": null, + "frequency_penalty": null, + "presence_penalty": null, + "repetition_penalty": null + }, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/minimax/minimax-m3-20260531/endpoints" + }, + "endpoints": ["/api/v1/batches"], + "benchmarks": { + "design_arena": [ + { + "arena": "agents", + "category": "agenticgamedev", + "elo": 1110, + "win_rate": 44.8, + "rank": 18 + }, + { + "arena": "agents", + "category": "androidnative", + "elo": 1156, + "win_rate": 45.1, + "rank": 25 + }, + { + "arena": "agents", + "category": "blender3d", + "elo": 1089, + "win_rate": 43.2, + "rank": 14 + }, + { + "arena": "agents", + "category": "codetovideo", + "elo": 1202, + "win_rate": 55.9, + "rank": 7 + }, + { + "arena": "agents", + "category": "fullstack", + "elo": 1173, + "win_rate": 47.4, + "rank": 20 + }, + { + "arena": "agents", + "category": "htmlslides", + "elo": 1076, + "win_rate": 46.6, + "rank": 14 + }, + { + "arena": "agents", + "category": "mobileapps", + "elo": 1169, + "win_rate": 46.5, + "rank": 29 + }, + { + "arena": "agents", + "category": "pdf", + "elo": 1262, + "win_rate": 61.2, + "rank": 6 + }, + { + "arena": "agents", + "category": "python-pptxslides", + "elo": 1171, + "win_rate": 47.5, + "rank": 16 + }, + { + "arena": "agents", + "category": "spreadsheet", + "elo": 1161, + "win_rate": 40.1, + "rank": 15 + }, + { + "arena": "agents", + "category": "webapps", + "elo": 1187, + "win_rate": 47.7, + "rank": 23 + }, + { + "arena": "models", + "category": "3d", + "elo": 1190, + "win_rate": 50.1, + "rank": 53 + }, + { + "arena": "models", + "category": "asciiart", + "elo": 1149, + "win_rate": 45.4, + "rank": 43 + }, + { + "arena": "models", + "category": "codecategories", + "elo": 1236, "win_rate": 50.5, + "rank": 48 + }, + { + "arena": "models", + "category": "dataviz", + "elo": 1229, + "win_rate": 51, "rank": 45 }, + { + "arena": "models", + "category": "gamedev", + "elo": 1200, + "win_rate": 45.2, + "rank": 56 + }, + { + "arena": "models", + "category": "svg", + "elo": 1146, + "win_rate": 43.9, + "rank": 49 + }, + { + "arena": "models", + "category": "uicomponent", + "elo": 1235, + "win_rate": 50.2, + "rank": 48 + }, { "arena": "models", "category": "website", - "elo": 1255, - "win_rate": 51.5, - "rank": 42 + "elo": 1249, + "win_rate": 51.6, + "rank": 45 } ], "artificial_analysis": { @@ -18142,44 +19326,44 @@ { "arena": "models", "category": "codecategories", - "elo": 1005, + "elo": 997, "win_rate": 38.5, - "rank": 128 + "rank": 131 }, { "arena": "models", "category": "dataviz", - "elo": 1017, + "elo": 1015, "win_rate": 41.1, - "rank": 115 + "rank": 117 }, { "arena": "models", "category": "gamedev", - "elo": 966, + "elo": 957, "win_rate": 36.3, - "rank": 129 + "rank": 133 }, { "arena": "models", "category": "uicomponent", - "elo": 1012, + "elo": 1007, "win_rate": 46.7, - "rank": 118 + "rank": 122 }, { "arena": "models", "category": "website", - "elo": 1011, + "elo": 1005, "win_rate": 37.8, - "rank": 131 + "rank": 135 }, { "arena": "models", "category": "3d", - "elo": 1017, + "elo": 1000, "win_rate": 45.4, - "rank": 112 + "rank": 119 } ] } @@ -18310,30 +19494,30 @@ { "arena": "models", "category": "3d", - "elo": 987, + "elo": 970, "win_rate": 39.6, - "rank": 116 + "rank": 123 }, { "arena": "models", "category": "codecategories", - "elo": 1063, + "elo": 1054, "win_rate": 44, - "rank": 116 + "rank": 121 }, { "arena": "models", "category": "gamedev", - "elo": 1038, + "elo": 1027, "win_rate": 43.6, - "rank": 117 + "rank": 122 }, { "arena": "models", "category": "website", - "elo": 1081, + "elo": 1073, "win_rate": 44.8, - "rank": 116 + "rank": 120 } ], "artificial_analysis": { @@ -18404,30 +19588,30 @@ { "arena": "models", "category": "3d", - "elo": 960, + "elo": 942, "win_rate": 35.9, - "rank": 121 + "rank": 128 }, { "arena": "models", "category": "codecategories", - "elo": 1008, + "elo": 1000, "win_rate": 37.3, - "rank": 127 + "rank": 130 }, { "arena": "models", "category": "gamedev", - "elo": 947, + "elo": 938, "win_rate": 33, - "rank": 133 + "rank": 137 }, { "arena": "models", "category": "website", - "elo": 1026, + "elo": 1019, "win_rate": 38.2, - "rank": 129 + "rank": 133 } ], "artificial_analysis": { @@ -18498,30 +19682,30 @@ { "arena": "models", "category": "3d", - "elo": 1029, + "elo": 1011, "win_rate": 46.2, - "rank": 111 + "rank": 118 }, { "arena": "models", "category": "codecategories", - "elo": 1051, + "elo": 1042, "win_rate": 42.9, - "rank": 118 + "rank": 123 }, { "arena": "models", "category": "gamedev", - "elo": 990, + "elo": 980, "win_rate": 38.7, - "rank": 125 + "rank": 129 }, { "arena": "models", "category": "website", - "elo": 1063, + "elo": 1057, "win_rate": 42.9, - "rank": 118 + "rank": 123 } ], "artificial_analysis": { @@ -18589,7 +19773,7 @@ { "id": "mistralai/mistral-large-2407", "canonical_slug": "mistralai/mistral-large-2407", - "hugging_face_id": "", + "hugging_face_id": "mistralai/Mistral-Large-Instruct-2407", "name": "Mistral Large 2407", "created": 1731978415, "description": "This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/)....", @@ -18644,7 +19828,7 @@ { "id": "mistralai/mistral-large-2512", "canonical_slug": "mistralai/mistral-large-2512", - "hugging_face_id": "", + "hugging_face_id": "mistralai/Mistral-Large-3-675B-Instruct-2512", "name": "Mistral: Mistral Large 3 2512", "created": 1764624472, "description": "Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.", @@ -18702,58 +19886,58 @@ { "arena": "models", "category": "3d", - "elo": 1096, + "elo": 1079, "win_rate": 46.9, - "rank": 91 + "rank": 98 }, { "arena": "models", "category": "asciiart", - "elo": 1066, + "elo": 1064, "win_rate": 40.3, "rank": 69 }, { "arena": "models", "category": "codecategories", - "elo": 1140, + "elo": 1131, "win_rate": 47.6, - "rank": 95 + "rank": 98 }, { "arena": "models", "category": "dataviz", - "elo": 1136, + "elo": 1133, "win_rate": 45.7, - "rank": 88 + "rank": 89 }, { "arena": "models", "category": "gamedev", - "elo": 1080, + "elo": 1070, "win_rate": 41.5, - "rank": 105 + "rank": 109 }, { "arena": "models", "category": "svg", - "elo": 989, + "elo": 982, "win_rate": 38, - "rank": 91 + "rank": 94 }, { "arena": "models", "category": "uicomponent", - "elo": 1097, + "elo": 1092, "win_rate": 43, - "rank": 98 + "rank": 102 }, { "arena": "models", "category": "website", - "elo": 1162, + "elo": 1154, "win_rate": 49.5, - "rank": 87 + "rank": 95 } ], "artificial_analysis": { @@ -18825,58 +20009,58 @@ { "arena": "models", "category": "3d", - "elo": 1250, - "win_rate": 45.2, + "elo": 1239, + "win_rate": 45.8, "rank": 34 }, { "arena": "models", "category": "asciiart", - "elo": 1206, + "elo": 1203, "win_rate": 43.5, - "rank": 24 + "rank": 25 }, { "arena": "models", "category": "codecategories", - "elo": 1258, - "win_rate": 46.6, + "elo": 1255, + "win_rate": 46.9, "rank": 40 }, { "arena": "models", "category": "dataviz", - "elo": 1275, - "win_rate": 51, + "elo": 1273, + "win_rate": 51.3, "rank": 25 }, { "arena": "models", "category": "gamedev", - "elo": 1225, - "win_rate": 42.2, - "rank": 45 + "elo": 1204, + "win_rate": 40.2, + "rank": 53 }, { "arena": "models", "category": "svg", - "elo": 1231, - "win_rate": 45.3, - "rank": 20 + "elo": 1222, + "win_rate": 44.9, + "rank": 23 }, { "arena": "models", "category": "uicomponent", - "elo": 1269, - "win_rate": 47.6, - "rank": 31 + "elo": 1279, + "win_rate": 49, + "rank": 29 }, { "arena": "models", "category": "website", - "elo": 1256, - "win_rate": 47.3, - "rank": 40 + "elo": 1258, + "win_rate": 48, + "rank": 39 } ], "artificial_analysis": { @@ -18951,44 +20135,44 @@ { "arena": "models", "category": "3d", - "elo": 1081, + "elo": 1063, "win_rate": 54.7, - "rank": 95 + "rank": 103 }, { "arena": "models", "category": "codecategories", - "elo": 1067, + "elo": 1058, "win_rate": 48.1, - "rank": 114 + "rank": 120 }, { "arena": "models", "category": "dataviz", - "elo": 1034, + "elo": 1031, "win_rate": 46, - "rank": 113 + "rank": 115 }, { "arena": "models", "category": "gamedev", - "elo": 1016, + "elo": 1007, "win_rate": 45.2, - "rank": 121 + "rank": 126 }, { "arena": "models", "category": "uicomponent", - "elo": 1019, + "elo": 1015, "win_rate": 49.6, - "rank": 117 + "rank": 121 }, { "arena": "models", "category": "website", - "elo": 1077, + "elo": 1071, "win_rate": 47.6, - "rank": 117 + "rank": 121 } ] } @@ -18996,7 +20180,7 @@ { "id": "mistralai/mistral-medium-3-5", "canonical_slug": "mistralai/mistral-medium-3.5-20260430", - "hugging_face_id": null, + "hugging_face_id": "mistralai/Mistral-Medium-3.5-128B", "name": "Mistral: Mistral Medium 3.5", "created": 1777570439, "description": "Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...", @@ -19071,7 +20255,7 @@ { "id": "mistralai/mistral-medium-3-5:batch", "canonical_slug": "mistralai/mistral-medium-3.5-20260430", - "hugging_face_id": null, + "hugging_face_id": "mistralai/Mistral-Medium-3.5-128B", "name": "Mistral: Mistral Medium 3.5 (batch)", "created": 1777570439, "description": "Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...", @@ -19197,58 +20381,58 @@ { "arena": "models", "category": "3d", - "elo": 1078, + "elo": 1061, "win_rate": 44.6, - "rank": 99 + "rank": 105 }, { "arena": "models", "category": "asciiart", - "elo": 995, + "elo": 992, "win_rate": 30.8, "rank": 73 }, { "arena": "models", "category": "codecategories", - "elo": 1118, + "elo": 1110, "win_rate": 45.1, - "rank": 100 + "rank": 104 }, { "arena": "models", "category": "dataviz", - "elo": 1144, + "elo": 1141, "win_rate": 47.2, - "rank": 84 + "rank": 85 }, { "arena": "models", "category": "gamedev", - "elo": 1074, + "elo": 1064, "win_rate": 40.8, - "rank": 108 + "rank": 113 }, { "arena": "models", "category": "svg", - "elo": 989, + "elo": 982, "win_rate": 38.2, - "rank": 92 + "rank": 95 }, { "arena": "models", "category": "uicomponent", - "elo": 1094, + "elo": 1090, "win_rate": 43.6, - "rank": 100 + "rank": 105 }, { "arena": "models", "category": "website", - "elo": 1131, + "elo": 1125, "win_rate": 46, - "rank": 101 + "rank": 105 } ], "artificial_analysis": { @@ -19583,12 +20767,13 @@ "instruct_type": null }, "pricing": { - "prompt": "0.000000075", - "completion": "0.0000002" + "prompt": "0.0000001", + "completion": "0.0000003", + "input_cache_read": "0.00000001" }, "top_provider": { - "context_length": 128000, - "max_completion_tokens": 16384, + "context_length": 32768, + "max_completion_tokens": 26214, "is_moderated": false }, "per_request_limits": null, @@ -19631,37 +20816,37 @@ { "arena": "models", "category": "codecategories", - "elo": 905, + "elo": 896, "win_rate": 39.8, - "rank": 138 + "rank": 142 }, { "arena": "models", "category": "dataviz", "elo": 929, "win_rate": 43.3, - "rank": 126 + "rank": 128 }, { "arena": "models", "category": "gamedev", - "elo": 887, + "elo": 878, "win_rate": 39.4, - "rank": 138 + "rank": 142 }, { "arena": "models", "category": "uicomponent", - "elo": 902, + "elo": 897, "win_rate": 40.5, - "rank": 132 + "rank": 136 }, { "arena": "models", "category": "website", - "elo": 894, + "elo": 887, "win_rate": 38.3, - "rank": 141 + "rank": 145 } ] } @@ -19943,37 +21128,37 @@ { "arena": "models", "category": "codecategories", - "elo": 1032, + "elo": 1023, "win_rate": 51.7, - "rank": 121 + "rank": 126 }, { "arena": "models", "category": "dataviz", "elo": 1018, "win_rate": 49.4, - "rank": 114 + "rank": 116 }, { "arena": "models", "category": "gamedev", - "elo": 974, + "elo": 963, "win_rate": 46.4, - "rank": 127 + "rank": 130 }, { "arena": "models", "category": "uicomponent", - "elo": 1025, + "elo": 1020, "win_rate": 55.1, - "rank": 115 + "rank": 119 }, { "arena": "models", "category": "website", - "elo": 1050, + "elo": 1042, "win_rate": 53.1, - "rank": 123 + "rank": 127 } ] } @@ -20005,6 +21190,7 @@ "per_request_limits": null, "supported_parameters": [ "frequency_penalty", + "logprobs", "max_tokens", "presence_penalty", "repetition_penalty", @@ -20016,6 +21202,7 @@ "tool_choice", "tools", "top_k", + "top_logprobs", "top_p" ], "default_parameters": {}, @@ -20036,16 +21223,16 @@ { "arena": "models", "category": "codecategories", - "elo": 1096, + "elo": 1087, "win_rate": 48.5, - "rank": 109 + "rank": 113 }, { "arena": "models", "category": "website", - "elo": 1107, + "elo": 1099, "win_rate": 48.3, - "rank": 110 + "rank": 115 } ] } @@ -20118,9 +21305,9 @@ { "arena": "models", "category": "website", - "elo": 1111, + "elo": 1105, "win_rate": 48.8, - "rank": 108 + "rank": 112 } ], "artificial_analysis": { @@ -20206,93 +21393,93 @@ { "arena": "agents", "category": "androidnative", - "elo": 1114, + "elo": 1105, "win_rate": 57.8, - "rank": 30 + "rank": 33 }, { "arena": "agents", "category": "fullstack", - "elo": 1107, - "win_rate": 54.5, - "rank": 29 + "elo": 1086, + "win_rate": 54.4, + "rank": 32 }, { "arena": "agents", "category": "godotgamedev", "elo": 1219, "win_rate": 59.8, - "rank": 15 + "rank": 8 }, { "arena": "agents", "category": "mobileapps", - "elo": 1147, + "elo": 1139, "win_rate": 54.7, - "rank": 32 + "rank": 34 }, { "arena": "agents", "category": "webapps", - "elo": 1120, + "elo": 1112, "win_rate": 51.6, - "rank": 33 + "rank": 35 }, { "arena": "models", "category": "3d", - "elo": 1202, + "elo": 1185, "win_rate": 53.1, - "rank": 50 + "rank": 56 }, { "arena": "models", "category": "asciiart", - "elo": 1163, + "elo": 1160, "win_rate": 46.5, - "rank": 36 + "rank": 37 }, { "arena": "models", "category": "codecategories", - "elo": 1234, + "elo": 1226, "win_rate": 54.1, - "rank": 48 + "rank": 53 }, { "arena": "models", "category": "dataviz", - "elo": 1219, + "elo": 1216, "win_rate": 51.3, "rank": 53 }, { "arena": "models", "category": "gamedev", - "elo": 1205, + "elo": 1196, "win_rate": 53.4, - "rank": 54 + "rank": 60 }, { "arena": "models", "category": "svg", - "elo": 1146, + "elo": 1139, "win_rate": 48.4, - "rank": 52 + "rank": 53 }, { "arena": "models", "category": "uicomponent", - "elo": 1231, + "elo": 1227, "win_rate": 53.6, - "rank": 49 + "rank": 53 }, { "arena": "models", "category": "website", - "elo": 1247, + "elo": 1241, "win_rate": 55.2, - "rank": 45 + "rank": 49 } ], "artificial_analysis": { @@ -20379,7 +21566,7 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1088, + "elo": 1084, "win_rate": 47.5, "rank": 21 }, @@ -20414,37 +21601,37 @@ { "arena": "agents", "category": "androidnative", - "elo": 1160, + "elo": 1152, "win_rate": 49.2, - "rank": 23 + "rank": 27 }, { "arena": "agents", "category": "fullstack", - "elo": 1149, + "elo": 1128, "win_rate": 49.4, - "rank": 26 + "rank": 28 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1120, + "elo": 1100, "win_rate": 46.8, "rank": 28 }, { "arena": "agents", "category": "htmlslides", - "elo": 1081, + "elo": 1080, "win_rate": 52.3, "rank": 13 }, { "arena": "agents", "category": "mobileapps", - "elo": 1154, + "elo": 1147, "win_rate": 47.6, - "rank": 31 + "rank": 33 }, { "arena": "agents", @@ -20458,77 +21645,77 @@ "category": "python-pptxslides", "elo": 1180, "win_rate": 42.1, - "rank": 14 + "rank": 15 }, { "arena": "agents", "category": "spreadsheet", "elo": 1276, "win_rate": 54.8, - "rank": 8 + "rank": 7 }, { "arena": "agents", "category": "webapps", "elo": 1268, "win_rate": 59.3, - "rank": 10 + "rank": 12 }, { "arena": "models", "category": "3d", - "elo": 1264, + "elo": 1247, "win_rate": 57.6, - "rank": 27 + "rank": 31 }, { "arena": "models", "category": "asciiart", - "elo": 1162, - "win_rate": 47.5, - "rank": 38 + "elo": 1152, + "win_rate": 46.1, + "rank": 41 }, { "arena": "models", "category": "codecategories", - "elo": 1270, - "win_rate": 54.8, - "rank": 32 + "elo": 1262, + "win_rate": 55, + "rank": 35 }, { "arena": "models", "category": "dataviz", - "elo": 1249, - "win_rate": 52, + "elo": 1246, + "win_rate": 52.1, "rank": 37 }, { "arena": "models", "category": "gamedev", - "elo": 1249, + "elo": 1239, "win_rate": 54.8, - "rank": 39 + "rank": 43 }, { "arena": "models", "category": "svg", - "elo": 1178, + "elo": 1170, "win_rate": 51.2, - "rank": 39 + "rank": 43 }, { "arena": "models", "category": "uicomponent", - "elo": 1261, - "win_rate": 55.6, - "rank": 36 + "elo": 1257, + "win_rate": 55.8, + "rank": 40 }, { "arena": "models", "category": "website", - "elo": 1268, - "win_rate": 54.2, - "rank": 31 + "elo": 1263, + "win_rate": 54.6, + "rank": 33 } ], "artificial_analysis": { @@ -20615,114 +21802,114 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1078, - "win_rate": 43, + "elo": 1074, + "win_rate": 42.8, "rank": 22 }, { "arena": "agents", "category": "androidnative", - "elo": 1136, + "elo": 1130, "win_rate": 46, - "rank": 28 + "rank": 31 }, { "arena": "agents", "category": "fullstack", - "elo": 1169, + "elo": 1148, "win_rate": 50.9, - "rank": 23 + "rank": 25 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1147, + "elo": 1125, "win_rate": 49.2, - "rank": 20 + "rank": 26 }, { "arena": "agents", "category": "htmlslides", "elo": 1097, - "win_rate": 53.6, + "win_rate": 53.9, "rank": 11 }, { "arena": "agents", "category": "mobileapps", - "elo": 1141, + "elo": 1134, "win_rate": 46.2, - "rank": 34 + "rank": 36 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1110, + "elo": 1119, "win_rate": 44.6, "rank": 24 }, { "arena": "agents", "category": "webapps", - "elo": 1160, + "elo": 1153, "win_rate": 46.9, - "rank": 30 + "rank": 32 }, { "arena": "models", "category": "3d", - "elo": 1237, - "win_rate": 50.2, - "rank": 39 + "elo": 1219, + "win_rate": 49.7, + "rank": 44 }, { "arena": "models", "category": "asciiart", - "elo": 1190, - "win_rate": 48, - "rank": 30 + "elo": 1185, + "win_rate": 47.7, + "rank": 32 }, { "arena": "models", "category": "codecategories", - "elo": 1251, + "elo": 1243, "win_rate": 49.7, - "rank": 42 + "rank": 46 }, { "arena": "models", "category": "dataviz", - "elo": 1225, + "elo": 1221, "win_rate": 48.3, - "rank": 49 + "rank": 50 }, { "arena": "models", "category": "gamedev", - "elo": 1219, - "win_rate": 46.6, - "rank": 47 + "elo": 1210, + "win_rate": 46.4, + "rank": 50 }, { "arena": "models", "category": "svg", - "elo": 1173, - "win_rate": 44, - "rank": 42 + "elo": 1164, + "win_rate": 43.6, + "rank": 45 }, { "arena": "models", "category": "uicomponent", - "elo": 1254, - "win_rate": 50.5, - "rank": 42 + "elo": 1251, + "win_rate": 50.9, + "rank": 43 }, { "arena": "models", "category": "website", - "elo": 1262, - "win_rate": 51.2, - "rank": 36 + "elo": 1258, + "win_rate": 51.4, + "rank": 38 } ], "artificial_analysis": { @@ -20767,10 +21954,8 @@ "include_reasoning", "logit_bias", "logprobs", - "max_completion_tokens", "max_tokens", "min_p", - "parallel_tool_calls", "presence_penalty", "reasoning", "reasoning_effort", @@ -20811,135 +21996,135 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1202, - "win_rate": 53.8, + "elo": 1198, + "win_rate": 54, "rank": 4 }, { "arena": "agents", "category": "androidnative", - "elo": 1255, - "win_rate": 56.7, + "elo": 1256, + "win_rate": 57.6, "rank": 6 }, { "arena": "agents", "category": "blender3d", - "elo": 1179, - "win_rate": 45.6, - "rank": 8 + "elo": 1153, + "win_rate": 40.3, + "rank": 9 }, { "arena": "agents", "category": "codetovideo", - "elo": 1275, - "win_rate": 61.5, + "elo": 1269, + "win_rate": 64.2, "rank": 3 }, { "arena": "agents", "category": "fullstack", - "elo": 1307, - "win_rate": 61.5, - "rank": 3 + "elo": 1288, + "win_rate": 61.3, + "rank": 5 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1224, - "win_rate": 48.4, - "rank": 13 + "elo": 1200, + "win_rate": 48.3, + "rank": 14 }, { "arena": "agents", "category": "htmlslides", - "elo": 1153, + "elo": 1151, "win_rate": 55.6, "rank": 5 }, { "arena": "agents", "category": "mobileapps", - "elo": 1263, - "win_rate": 57, - "rank": 5 + "elo": 1253, + "win_rate": 56.5, + "rank": 9 }, { "arena": "agents", "category": "pdf", - "elo": 1302, - "win_rate": 67, - "rank": 3 + "elo": 1279, + "win_rate": 66, + "rank": 4 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1219, - "win_rate": 54.8, - "rank": 6 + "elo": 1223, + "win_rate": 54.2, + "rank": 9 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1118, - "win_rate": 31.8, - "rank": 17 + "elo": 1071, + "win_rate": 34.1, + "rank": 18 }, { "arena": "agents", "category": "webapps", - "elo": 1284, - "win_rate": 59.3, - "rank": 6 + "elo": 1273, + "win_rate": 58, + "rank": 9 }, { "arena": "models", "category": "3d", - "elo": 1381, - "win_rate": 64.2, - "rank": 8 + "elo": 1365, + "win_rate": 63.8, + "rank": 11 }, { "arena": "models", "category": "codecategories", - "elo": 1353, - "win_rate": 60, - "rank": 5 + "elo": 1351, + "win_rate": 60.3, + "rank": 6 }, { "arena": "models", "category": "dataviz", "elo": 1350, - "win_rate": 63.1, + "win_rate": 63.6, "rank": 4 }, { "arena": "models", "category": "gamedev", - "elo": 1351, - "win_rate": 54.4, - "rank": 8 + "elo": 1353, + "win_rate": 54.9, + "rank": 10 }, { "arena": "models", "category": "svg", - "elo": 1306, - "win_rate": 60.2, - "rank": 7 + "elo": 1295, + "win_rate": 59.5, + "rank": 8 }, { "arena": "models", "category": "uicomponent", - "elo": 1338, - "win_rate": 60, - "rank": 8 + "elo": 1341, + "win_rate": 60.8, + "rank": 9 }, { "arena": "models", "category": "website", - "elo": 1334, - "win_rate": 58.6, - "rank": 3 + "elo": 1336, + "win_rate": 59.4, + "rank": 4 } ], "artificial_analysis": { @@ -21021,135 +22206,135 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1202, - "win_rate": 53.8, + "elo": 1198, + "win_rate": 54, "rank": 4 }, { "arena": "agents", "category": "androidnative", - "elo": 1255, - "win_rate": 56.7, + "elo": 1256, + "win_rate": 57.6, "rank": 6 }, { "arena": "agents", "category": "blender3d", - "elo": 1179, - "win_rate": 45.6, - "rank": 8 + "elo": 1153, + "win_rate": 40.3, + "rank": 9 }, { "arena": "agents", "category": "codetovideo", - "elo": 1275, - "win_rate": 61.5, + "elo": 1269, + "win_rate": 64.2, "rank": 3 }, { "arena": "agents", "category": "fullstack", - "elo": 1307, - "win_rate": 61.5, - "rank": 3 + "elo": 1288, + "win_rate": 61.3, + "rank": 5 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1224, - "win_rate": 48.4, - "rank": 13 + "elo": 1200, + "win_rate": 48.3, + "rank": 14 }, { "arena": "agents", "category": "htmlslides", - "elo": 1153, + "elo": 1151, "win_rate": 55.6, "rank": 5 }, { "arena": "agents", "category": "mobileapps", - "elo": 1263, - "win_rate": 57, - "rank": 5 + "elo": 1253, + "win_rate": 56.5, + "rank": 9 }, { "arena": "agents", "category": "pdf", - "elo": 1302, - "win_rate": 67, - "rank": 3 + "elo": 1279, + "win_rate": 66, + "rank": 4 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1219, - "win_rate": 54.8, - "rank": 6 + "elo": 1223, + "win_rate": 54.2, + "rank": 9 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1118, - "win_rate": 31.8, - "rank": 17 + "elo": 1071, + "win_rate": 34.1, + "rank": 18 }, { "arena": "agents", "category": "webapps", - "elo": 1284, - "win_rate": 59.3, - "rank": 6 + "elo": 1273, + "win_rate": 58, + "rank": 9 }, { "arena": "models", "category": "3d", - "elo": 1381, - "win_rate": 64.2, - "rank": 8 + "elo": 1365, + "win_rate": 63.8, + "rank": 11 }, { "arena": "models", "category": "codecategories", - "elo": 1353, - "win_rate": 60, - "rank": 5 + "elo": 1351, + "win_rate": 60.3, + "rank": 6 }, { "arena": "models", "category": "dataviz", "elo": 1350, - "win_rate": 63.1, + "win_rate": 63.6, "rank": 4 }, { "arena": "models", "category": "gamedev", - "elo": 1351, - "win_rate": 54.4, - "rank": 8 + "elo": 1353, + "win_rate": 54.9, + "rank": 10 }, { "arena": "models", "category": "svg", - "elo": 1306, - "win_rate": 60.2, - "rank": 7 + "elo": 1295, + "win_rate": 59.5, + "rank": 8 }, { "arena": "models", "category": "uicomponent", - "elo": 1338, - "win_rate": 60, - "rank": 8 + "elo": 1341, + "win_rate": 60.8, + "rank": 9 }, { "arena": "models", "category": "website", - "elo": 1334, - "win_rate": 58.6, - "rank": 3 + "elo": 1336, + "win_rate": 59.4, + "rank": 4 } ], "artificial_analysis": { @@ -21234,99 +22419,289 @@ "arena": "agents", "category": "androidnative", "elo": 1147, - "win_rate": 41.4, - "rank": 26 + "win_rate": 42.5, + "rank": 29 + }, + { + "arena": "agents", + "category": "codetovideo", + "elo": 1234, + "win_rate": 59.5, + "rank": 5 }, { "arena": "agents", "category": "fullstack", - "elo": 1330, - "win_rate": 62, - "rank": 1 + "elo": 1319, + "win_rate": 61.8, + "rank": 3 }, { "arena": "agents", "category": "mobileapps", - "elo": 1277, - "win_rate": 59.8, - "rank": 3 + "elo": 1268, + "win_rate": 59.4, + "rank": 5 }, { "arena": "agents", "category": "pdf", - "elo": 1271, - "win_rate": 61.4, - "rank": 5 + "elo": 1224, + "win_rate": 56.7, + "rank": 12 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1193, - "win_rate": 56.8, - "rank": 12 + "elo": 1278, + "win_rate": 62.3, + "rank": 3 + }, + { + "arena": "agents", + "category": "spreadsheet", + "elo": 1326, + "win_rate": 62.3, + "rank": 5 }, { "arena": "agents", "category": "webapps", - "elo": 1312, - "win_rate": 61.2, + "elo": 1313, + "win_rate": 60.8, "rank": 3 }, { "arena": "models", "category": "3d", - "elo": 1451, - "win_rate": 72, - "rank": 2 + "elo": 1441, + "win_rate": 70.4, + "rank": 3 }, { "arena": "models", "category": "asciiart", - "elo": 1299, - "win_rate": 58.9, - "rank": 5 + "elo": 1301, + "win_rate": 59.1, + "rank": 6 }, { "arena": "models", "category": "codecategories", - "elo": 1355, - "win_rate": 61.3, - "rank": 4 + "elo": 1350, + "win_rate": 60.6, + "rank": 7 }, { "arena": "models", "category": "dataviz", - "elo": 1307, - "win_rate": 56.8, - "rank": 12 + "elo": 1300, + "win_rate": 55.7, + "rank": 13 }, { "arena": "models", "category": "gamedev", - "elo": 1413, - "win_rate": 67.3, - "rank": 3 + "elo": 1403, + "win_rate": 65.8, + "rank": 4 }, { "arena": "models", "category": "svg", - "elo": 1330, - "win_rate": 62.4, - "rank": 2 + "elo": 1328, + "win_rate": 62.6, + "rank": 3 }, { "arena": "models", "category": "uicomponent", - "elo": 1392, - "win_rate": 66, + "elo": 1389, + "win_rate": 65.5, "rank": 1 }, { "arena": "models", "category": "website", + "elo": 1321, + "win_rate": 57.8, + "rank": 6 + } + ], + "artificial_analysis": { + "intelligence_index": 46.5, + "coding_index": null, + "agentic_index": null + } + }, + "reasoning": { + "mandatory": false, + "default_enabled": true, + "supported_efforts": ["max", "high", "low", "none"], + "default_effort": "max" + } + }, + { + "id": "moonshotai/kimi-k3.1-pro:batch", + "canonical_slug": "moonshotai/kimi-k3.1-pro-20261023", + "hugging_face_id": "moonshotai/Kimi-K3.1-Pro", + "name": "MoonshotAI: Kimi K3.1 Pro (batch)", + "created": 1792778188, + "description": "Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model and a post-trained successor to Kimi K3, with a 1M-token context window. It is built for long-horizon coding, 3D...", + "context_length": 1048576, + "architecture": { + "modality": "text+image+video->text", + "input_modalities": ["text", "image", "video"], + "output_modalities": ["text"], + "tokenizer": "Other", + "instruct_type": null + }, + "pricing": { + "prompt": "0.0000007", + "completion": "0.000006", + "input_cache_read": "0.0000001" + }, + "top_provider": { + "context_length": 1048576, + "max_completion_tokens": 943718, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "frequency_penalty", + "include_reasoning", + "max_tokens", + "presence_penalty", + "reasoning", + "reasoning_effort", + "seed", + "stop", + "temperature", + "top_k" + ], + "default_parameters": { + "top_p": 0.95 + }, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/moonshotai/kimi-k3.1-pro-20261023/endpoints" + }, + "endpoints": ["/api/v1/batches"], + "benchmarks": { + "design_arena": [ + { + "arena": "agents", + "category": "androidnative", + "elo": 1147, + "win_rate": 42.5, + "rank": 29 + }, + { + "arena": "agents", + "category": "codetovideo", + "elo": 1234, + "win_rate": 59.5, + "rank": 5 + }, + { + "arena": "agents", + "category": "fullstack", + "elo": 1319, + "win_rate": 61.8, + "rank": 3 + }, + { + "arena": "agents", + "category": "mobileapps", + "elo": 1268, + "win_rate": 59.4, + "rank": 5 + }, + { + "arena": "agents", + "category": "pdf", + "elo": 1224, + "win_rate": 56.7, + "rank": 12 + }, + { + "arena": "agents", + "category": "python-pptxslides", + "elo": 1278, + "win_rate": 62.3, + "rank": 3 + }, + { + "arena": "agents", + "category": "spreadsheet", "elo": 1326, - "win_rate": 58.1, + "win_rate": 62.3, + "rank": 5 + }, + { + "arena": "agents", + "category": "webapps", + "elo": 1313, + "win_rate": 60.8, + "rank": 3 + }, + { + "arena": "models", + "category": "3d", + "elo": 1441, + "win_rate": 70.4, + "rank": 3 + }, + { + "arena": "models", + "category": "asciiart", + "elo": 1301, + "win_rate": 59.1, + "rank": 6 + }, + { + "arena": "models", + "category": "codecategories", + "elo": 1350, + "win_rate": 60.6, + "rank": 7 + }, + { + "arena": "models", + "category": "dataviz", + "elo": 1300, + "win_rate": 55.7, + "rank": 13 + }, + { + "arena": "models", + "category": "gamedev", + "elo": 1403, + "win_rate": 65.8, "rank": 4 + }, + { + "arena": "models", + "category": "svg", + "elo": 1328, + "win_rate": 62.6, + "rank": 3 + }, + { + "arena": "models", + "category": "uicomponent", + "elo": 1389, + "win_rate": 65.5, + "rank": 1 + }, + { + "arena": "models", + "category": "website", + "elo": 1321, + "win_rate": 57.8, + "rank": 6 } ], "artificial_analysis": { @@ -21394,6 +22769,45 @@ "/api/v1/responses" ] }, + { + "id": "morph/morph-v3-fast:batch", + "canonical_slug": "morph/morph-v3-fast", + "hugging_face_id": "", + "name": "Morph: Morph V3 Fast (batch)", + "created": 1751910002, + "description": "Morph's fastest apply model for code edits. ~10,500 tokens/sec with 96% accuracy for rapid code transformations. The model requires the prompt to be in the following format: {instruction} {initial_code} {edit_snippet}...", + "context_length": 81920, + "architecture": { + "modality": "text->text", + "input_modalities": ["text"], + "output_modalities": ["text"], + "tokenizer": "Other", + "instruct_type": null + }, + "pricing": { + "prompt": "0.0000004", + "completion": "0.0000006" + }, + "top_provider": { + "context_length": 81920, + "max_completion_tokens": 38000, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": ["max_tokens", "stop", "temperature"], + "default_parameters": { + "temperature": null, + "top_p": null, + "frequency_penalty": null + }, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/morph/morph-v3-fast/endpoints" + }, + "endpoints": ["/api/v1/batches"] + }, { "id": "morph/morph-v3-large", "canonical_slug": "morph/morph-v3-large", @@ -21444,7 +22858,122 @@ "/api/v1/completions", "/api/v1/messages", "/api/v1/responses" - ] + ] + }, + { + "id": "morph/morph-v3-large:batch", + "canonical_slug": "morph/morph-v3-large", + "hugging_face_id": "", + "name": "Morph: Morph V3 Large (batch)", + "created": 1751910858, + "description": "Morph's high-accuracy apply model for complex code edits. ~4,500 tokens/sec with 98% accuracy for precise code transformations. The model requires the prompt to be in the following format: {instruction} {initial_code}...", + "context_length": 262144, + "architecture": { + "modality": "text->text", + "input_modalities": ["text"], + "output_modalities": ["text"], + "tokenizer": "Other", + "instruct_type": null + }, + "pricing": { + "prompt": "0.00000045", + "completion": "0.00000095" + }, + "top_provider": { + "context_length": 262144, + "max_completion_tokens": 131072, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "logprobs", + "max_tokens", + "response_format", + "stop", + "structured_outputs", + "temperature", + "top_logprobs" + ], + "default_parameters": { + "temperature": null, + "top_p": null, + "frequency_penalty": null + }, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/morph/morph-v3-large/endpoints" + }, + "endpoints": ["/api/v1/batches"] + }, + { + "id": "motif-technologies/motif-3", + "canonical_slug": "motif-technologies/motif-3", + "hugging_face_id": "Motif-Technologies/Motif-3", + "name": "Motif Technologies: Motif 3", + "created": 1793655334, + "description": "Motif 3 is a Mixture-of-Experts language model from Motif Technologies, with 314B total and 13.2B active parameters. It is a general-purpose multilingual model for English and Korean, particularly strong at...", + "context_length": 262144, + "architecture": { + "modality": "text->text", + "input_modalities": ["text"], + "output_modalities": ["text"], + "tokenizer": "Other", + "instruct_type": null + }, + "pricing": { + "prompt": "0.0000003", + "completion": "0.0000012", + "input_cache_read": "0.00000006" + }, + "top_provider": { + "context_length": 262144, + "max_completion_tokens": 235929, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "frequency_penalty", + "include_reasoning", + "logprobs", + "max_tokens", + "presence_penalty", + "reasoning", + "repetition_penalty", + "response_format", + "structured_outputs", + "temperature", + "tool_choice", + "tools", + "top_k", + "top_logprobs", + "top_p" + ], + "default_parameters": {}, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/motif-technologies/motif-3/endpoints" + }, + "endpoints": [ + "/api/v1/chat/completions", + "/api/v1/completions", + "/api/v1/messages", + "/api/v1/responses" + ], + "benchmarks": { + "design_arena": [], + "artificial_analysis": { + "intelligence_index": null, + "coding_index": 63.5, + "agentic_index": 28.4 + } + }, + "reasoning": { + "mandatory": false + } }, { "id": "nex-agi/nex-n2.5-mini", @@ -21570,6 +23099,70 @@ "default_effort": "high" } }, + { + "id": "nex-agi/nex-n2.6", + "canonical_slug": "nex-agi/nex-n2.6-20261110", + "hugging_face_id": "nex-agi/Nex-N2.6", + "name": "Nex AGI: Nex-N2.6", + "created": 1794282379, + "description": "Nex-N2.6 is an agentic model from Nex AGI, built on [GLM-5.3-Flash](https://huggingface.co/zai-org/GLM-5.3-Flash-BF16) with about 321B parameters. It is suited for computer use, coding, and long-horizon tasks that involve tools. Compared with...", + "context_length": 262144, + "architecture": { + "modality": "text+image->text", + "input_modalities": ["text", "image"], + "output_modalities": ["text"], + "tokenizer": "Other", + "instruct_type": null + }, + "pricing": { + "prompt": "0.00000012", + "completion": "0.0000004", + "input_cache_read": "0.000000024" + }, + "top_provider": { + "context_length": 262144, + "max_completion_tokens": 235929, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "include_reasoning", + "logprobs", + "max_tokens", + "reasoning", + "reasoning_effort", + "response_format", + "structured_outputs", + "temperature", + "tool_choice", + "tools", + "top_k", + "top_logprobs", + "top_p" + ], + "default_parameters": { + "temperature": 0.7, + "top_p": 0.95, + "top_k": 40 + }, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/nex-agi/nex-n2.6-20261110/endpoints" + }, + "endpoints": [ + "/api/v1/chat/completions", + "/api/v1/completions", + "/api/v1/messages", + "/api/v1/responses" + ], + "reasoning": { + "mandatory": true, + "supported_efforts": ["high", "medium"], + "default_effort": "high" + } + }, { "id": "nousresearch/hermes-4-405b", "canonical_slug": "nousresearch/hermes-4-405b", @@ -21780,7 +23373,7 @@ "name": "NVIDIA: Nemotron 3 Super", "created": 1773245239, "description": "NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer...", - "context_length": 1048576, + "context_length": 262144, "architecture": { "modality": "text->text", "input_modalities": ["text"], @@ -21789,13 +23382,12 @@ "instruct_type": null }, "pricing": { - "prompt": "0.0000003", - "completion": "0.0000024", - "input_cache_read": "0.00000015" + "prompt": "0.000000075", + "completion": "0.0000004" }, "top_provider": { - "context_length": 1048576, - "max_completion_tokens": 262144, + "context_length": 262144, + "max_completion_tokens": 16384, "is_moderated": false }, "per_request_limits": null, @@ -21887,6 +23479,7 @@ "frequency_penalty", "include_reasoning", "logit_bias", + "logprobs", "max_tokens", "min_p", "presence_penalty", @@ -21901,6 +23494,7 @@ "tool_choice", "tools", "top_k", + "top_logprobs", "top_p" ], "default_parameters": { @@ -21928,58 +23522,58 @@ { "arena": "models", "category": "3d", - "elo": 1127, - "win_rate": 38.1, - "rank": 81 + "elo": 1108, + "win_rate": 37.9, + "rank": 89 }, { "arena": "models", "category": "asciiart", - "elo": 1097, - "win_rate": 37.1, - "rank": 63 + "elo": 1093, + "win_rate": 36.8, + "rank": 64 }, { "arena": "models", "category": "codecategories", - "elo": 1145, - "win_rate": 36, - "rank": 90 + "elo": 1131, + "win_rate": 35.3, + "rank": 99 }, { "arena": "models", "category": "dataviz", - "elo": 1142, - "win_rate": 37.5, + "elo": 1138, + "win_rate": 37.2, "rank": 86 }, { "arena": "models", "category": "gamedev", - "elo": 1139, - "win_rate": 36, - "rank": 80 + "elo": 1126, + "win_rate": 35.4, + "rank": 88 }, { "arena": "models", "category": "svg", - "elo": 1066, + "elo": 1060, "win_rate": 32.1, - "rank": 75 + "rank": 79 }, { "arena": "models", "category": "uicomponent", - "elo": 1136, - "win_rate": 36, - "rank": 85 + "elo": 1126, + "win_rate": 35.2, + "rank": 95 }, { "arena": "models", "category": "website", - "elo": 1144, - "win_rate": 35.2, - "rank": 98 + "elo": 1129, + "win_rate": 34.3, + "rank": 103 } ], "artificial_analysis": { @@ -22057,58 +23651,58 @@ { "arena": "models", "category": "3d", - "elo": 1127, - "win_rate": 38.1, - "rank": 81 + "elo": 1108, + "win_rate": 37.9, + "rank": 89 }, { "arena": "models", "category": "asciiart", - "elo": 1097, - "win_rate": 37.1, - "rank": 63 + "elo": 1093, + "win_rate": 36.8, + "rank": 64 }, { "arena": "models", "category": "codecategories", - "elo": 1145, - "win_rate": 36, - "rank": 90 + "elo": 1131, + "win_rate": 35.3, + "rank": 99 }, { "arena": "models", "category": "dataviz", - "elo": 1142, - "win_rate": 37.5, + "elo": 1138, + "win_rate": 37.2, "rank": 86 }, { "arena": "models", "category": "gamedev", - "elo": 1139, - "win_rate": 36, - "rank": 80 + "elo": 1126, + "win_rate": 35.4, + "rank": 88 }, { "arena": "models", "category": "svg", - "elo": 1066, + "elo": 1060, "win_rate": 32.1, - "rank": 75 + "rank": 79 }, { "arena": "models", "category": "uicomponent", - "elo": 1136, - "win_rate": 36, - "rank": 85 + "elo": 1126, + "win_rate": 35.2, + "rank": 95 }, { "arena": "models", "category": "website", - "elo": 1144, - "win_rate": 35.2, - "rank": 98 + "elo": 1129, + "win_rate": 34.3, + "rank": 103 } ], "artificial_analysis": { @@ -22190,64 +23784,6 @@ "default_enabled": true } }, - { - "id": "nvidia/nemotron-3.5-content-safety:free", - "canonical_slug": "nvidia/nemotron-3.5-content-safety-20260604", - "hugging_face_id": "nvidia/Nemotron-3.5-Content-Safety", - "name": "NVIDIA: Nemotron 3.5 Content Safety (free)", - "created": 1780581864, - "description": "NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B. It moderates both inputs to and responses from LLMs and VLMs, accepting...", - "context_length": 128000, - "architecture": { - "modality": "text+image->text", - "input_modalities": ["text", "image"], - "output_modalities": ["text"], - "tokenizer": "Other", - "instruct_type": null - }, - "pricing": { - "prompt": "0", - "completion": "0" - }, - "top_provider": { - "context_length": 128000, - "max_completion_tokens": 8192, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "include_reasoning", - "max_tokens", - "reasoning", - "seed", - "temperature", - "top_p" - ], - "default_parameters": { - "temperature": null, - "top_p": null, - "top_k": null, - "frequency_penalty": null, - "presence_penalty": null, - "repetition_penalty": null - }, - "supported_voices": null, - "knowledge_cutoff": null, - "expiration_date": null, - "links": { - "details": "/api/v1/models/nvidia/nemotron-3.5-content-safety-20260604/endpoints" - }, - "endpoints": [ - "/api/v1/chat/completions", - "/api/v1/completions", - "/api/v1/messages", - "/api/v1/responses" - ], - "reasoning": { - "mandatory": false, - "default_enabled": true - } - }, { "id": "nvidia/nemotron-3.5-lightning", "canonical_slug": "nvidia/nemotron-3.5-lightning-20260807", @@ -22383,7 +23919,7 @@ { "id": "nvidia/nemotron-3.5-super-vl", "canonical_slug": "nvidia/nemotron-3.5-super-vl-20261015", - "hugging_face_id": "nvidia/NVIDIA-Nemotron-3.5-Super-VL", + "hugging_face_id": "nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16", "name": "NVIDIA: Nemotron 3.5 Super VL", "created": 1792076662, "description": "NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...", @@ -22397,7 +23933,7 @@ }, "pricing": { "prompt": "0.00000015", - "completion": "0.0000005", + "completion": "0.00000047", "input_cache_read": "0.00000002" }, "top_provider": { @@ -22445,37 +23981,44 @@ { "arena": "models", "category": "3d", - "elo": 1132, - "win_rate": 31, - "rank": 77 + "elo": 1120, + "win_rate": 30.6, + "rank": 82 }, { "arena": "models", "category": "codecategories", - "elo": 1151, - "win_rate": 33.3, - "rank": 87 + "elo": 1140, + "win_rate": 32.5, + "rank": 94 + }, + { + "arena": "models", + "category": "dataviz", + "elo": 1084, + "win_rate": 26.1, + "rank": 107 }, { "arena": "models", "category": "gamedev", - "elo": 1109, - "win_rate": 29.8, - "rank": 94 + "elo": 1081, + "win_rate": 27.5, + "rank": 107 }, { "arena": "models", "category": "uicomponent", - "elo": 1135, - "win_rate": 30.7, - "rank": 86 + "elo": 1155, + "win_rate": 32.9, + "rank": 82 }, { "arena": "models", "category": "website", - "elo": 1166, - "win_rate": 35.1, - "rank": 84 + "elo": 1160, + "win_rate": 34.8, + "rank": 88 } ], "artificial_analysis": { @@ -22491,7 +24034,7 @@ { "id": "nvidia/nemotron-3.5-super-vl:free", "canonical_slug": "nvidia/nemotron-3.5-super-vl-20261015", - "hugging_face_id": "nvidia/NVIDIA-Nemotron-3.5-Super-VL", + "hugging_face_id": "nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16", "name": "NVIDIA: Nemotron 3.5 Super VL (free)", "created": 1792076662, "description": "NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...", @@ -22543,37 +24086,44 @@ { "arena": "models", "category": "3d", - "elo": 1132, - "win_rate": 31, - "rank": 77 + "elo": 1120, + "win_rate": 30.6, + "rank": 82 }, { "arena": "models", "category": "codecategories", - "elo": 1151, - "win_rate": 33.3, - "rank": 87 + "elo": 1140, + "win_rate": 32.5, + "rank": 94 + }, + { + "arena": "models", + "category": "dataviz", + "elo": 1084, + "win_rate": 26.1, + "rank": 107 }, { "arena": "models", "category": "gamedev", - "elo": 1109, - "win_rate": 29.8, - "rank": 94 + "elo": 1081, + "win_rate": 27.5, + "rank": 107 }, { "arena": "models", "category": "uicomponent", - "elo": 1135, - "win_rate": 30.7, - "rank": 86 + "elo": 1155, + "win_rate": 32.9, + "rank": 82 }, { "arena": "models", "category": "website", - "elo": 1166, - "win_rate": 35.1, - "rank": 84 + "elo": 1160, + "win_rate": 34.8, + "rank": 88 } ], "artificial_analysis": { @@ -22873,44 +24423,44 @@ { "arena": "models", "category": "3d", - "elo": 847, + "elo": 830, "win_rate": 30.9, - "rank": 128 + "rank": 135 }, { "arena": "models", "category": "codecategories", - "elo": 1024, + "elo": 1015, "win_rate": 50.9, - "rank": 123 + "rank": 128 }, { "arena": "models", "category": "dataviz", "elo": 1104, "win_rate": 59.5, - "rank": 98 + "rank": 99 }, { "arena": "models", "category": "gamedev", - "elo": 1078, + "elo": 1069, "win_rate": 59.1, - "rank": 106 + "rank": 110 }, { "arena": "models", "category": "uicomponent", - "elo": 995, + "elo": 990, "win_rate": 49.7, - "rank": 120 + "rank": 124 }, { "arena": "models", "category": "website", - "elo": 1037, + "elo": 1030, "win_rate": 52.3, - "rank": 125 + "rank": 129 } ] } @@ -22971,44 +24521,44 @@ { "arena": "models", "category": "3d", - "elo": 834, + "elo": 817, "win_rate": 30.5, - "rank": 129 + "rank": 136 }, { "arena": "models", "category": "codecategories", - "elo": 992, + "elo": 983, "win_rate": 47.5, - "rank": 130 + "rank": 134 }, { "arena": "models", "category": "dataviz", "elo": 1034, "win_rate": 49.2, - "rank": 112 + "rank": 114 }, { "arena": "models", "category": "gamedev", - "elo": 1069, + "elo": 1060, "win_rate": 58.5, - "rank": 109 + "rank": 114 }, { "arena": "models", "category": "uicomponent", - "elo": 956, + "elo": 951, "win_rate": 45.4, - "rank": 124 + "rank": 128 }, { "arena": "models", "category": "website", - "elo": 997, + "elo": 989, "win_rate": 47.8, - "rank": 132 + "rank": 136 } ], "artificial_analysis": { @@ -23068,44 +24618,44 @@ { "arena": "models", "category": "3d", - "elo": 834, + "elo": 817, "win_rate": 30.5, - "rank": 129 + "rank": 136 }, { "arena": "models", "category": "codecategories", - "elo": 992, + "elo": 983, "win_rate": 47.5, - "rank": 130 + "rank": 134 }, { "arena": "models", "category": "dataviz", "elo": 1034, "win_rate": 49.2, - "rank": 112 + "rank": 114 }, { "arena": "models", "category": "gamedev", - "elo": 1069, + "elo": 1060, "win_rate": 58.5, - "rank": 109 + "rank": 114 }, { "arena": "models", "category": "uicomponent", - "elo": 956, + "elo": 951, "win_rate": 45.4, - "rank": 124 + "rank": 128 }, { "arena": "models", "category": "website", - "elo": 997, + "elo": 989, "win_rate": 47.8, - "rank": 132 + "rank": 136 } ], "artificial_analysis": { @@ -23170,44 +24720,44 @@ { "arena": "models", "category": "3d", - "elo": 922, + "elo": 905, "win_rate": 46, - "rank": 122 + "rank": 129 }, { "arena": "models", "category": "codecategories", - "elo": 961, + "elo": 952, "win_rate": 47.3, - "rank": 134 + "rank": 138 }, { "arena": "models", "category": "dataviz", - "elo": 891, + "elo": 888, "win_rate": 41.1, - "rank": 130 + "rank": 132 }, { "arena": "models", "category": "gamedev", - "elo": 969, + "elo": 960, "win_rate": 49.6, - "rank": 128 + "rank": 132 }, { "arena": "models", "category": "uicomponent", - "elo": 911, + "elo": 906, "win_rate": 43.9, - "rank": 131 + "rank": 135 }, { "arena": "models", "category": "website", - "elo": 971, + "elo": 965, "win_rate": 48.1, - "rank": 136 + "rank": 140 } ], "artificial_analysis": { @@ -23267,44 +24817,44 @@ { "arena": "models", "category": "3d", - "elo": 922, + "elo": 905, "win_rate": 46, - "rank": 122 + "rank": 129 }, { "arena": "models", "category": "codecategories", - "elo": 961, + "elo": 952, "win_rate": 47.3, - "rank": 134 + "rank": 138 }, { "arena": "models", "category": "dataviz", - "elo": 891, + "elo": 888, "win_rate": 41.1, - "rank": 130 + "rank": 132 }, { "arena": "models", "category": "gamedev", - "elo": 969, + "elo": 960, "win_rate": 49.6, - "rank": 128 + "rank": 132 }, { "arena": "models", "category": "uicomponent", - "elo": 911, + "elo": 906, "win_rate": 43.9, - "rank": 131 + "rank": 135 }, { "arena": "models", "category": "website", - "elo": 971, + "elo": 965, "win_rate": 48.1, - "rank": 136 + "rank": 140 } ], "artificial_analysis": { @@ -23364,44 +24914,44 @@ { "arena": "models", "category": "3d", - "elo": 847, + "elo": 830, "win_rate": 30.9, - "rank": 128 + "rank": 135 }, { "arena": "models", "category": "codecategories", - "elo": 1024, + "elo": 1015, "win_rate": 50.9, - "rank": 123 + "rank": 128 }, { "arena": "models", "category": "dataviz", "elo": 1104, "win_rate": 59.5, - "rank": 98 + "rank": 99 }, { "arena": "models", "category": "gamedev", - "elo": 1078, + "elo": 1069, "win_rate": 59.1, - "rank": 106 + "rank": 110 }, { "arena": "models", "category": "uicomponent", - "elo": 995, + "elo": 990, "win_rate": 49.7, - "rank": 120 + "rank": 124 }, { "arena": "models", "category": "website", - "elo": 1037, + "elo": 1030, "win_rate": 52.3, - "rank": 125 + "rank": 129 } ] } @@ -23469,44 +25019,44 @@ { "arena": "models", "category": "3d", - "elo": 866, + "elo": 849, "win_rate": 39.2, - "rank": 125 + "rank": 132 }, { "arena": "models", "category": "codecategories", - "elo": 859, + "elo": 850, "win_rate": 34.8, - "rank": 140 + "rank": 145 }, { "arena": "models", "category": "dataviz", "elo": 858, "win_rate": 36, - "rank": 132 + "rank": 134 }, { "arena": "models", "category": "gamedev", - "elo": 906, + "elo": 896, "win_rate": 42.3, - "rank": 136 + "rank": 140 }, { "arena": "models", "category": "uicomponent", - "elo": 880, + "elo": 875, "win_rate": 38.1, - "rank": 135 + "rank": 140 }, { "arena": "models", "category": "website", - "elo": 831, + "elo": 823, "win_rate": 31.5, - "rank": 146 + "rank": 150 } ] } @@ -23937,44 +25487,44 @@ { "arena": "models", "category": "3d", - "elo": 866, + "elo": 849, "win_rate": 39.2, - "rank": 125 + "rank": 132 }, { "arena": "models", "category": "codecategories", - "elo": 859, + "elo": 850, "win_rate": 34.8, - "rank": 140 + "rank": 145 }, { "arena": "models", "category": "dataviz", "elo": 858, "win_rate": 36, - "rank": 132 + "rank": 134 }, { "arena": "models", "category": "gamedev", - "elo": 906, + "elo": 896, "win_rate": 42.3, - "rank": 136 + "rank": 140 }, { "arena": "models", "category": "uicomponent", - "elo": 880, + "elo": 875, "win_rate": 38.1, - "rank": 135 + "rank": 140 }, { "arena": "models", "category": "website", - "elo": 831, + "elo": 823, "win_rate": 31.5, - "rank": 146 + "rank": 150 } ] } @@ -24029,7 +25579,7 @@ }, "supported_voices": null, "knowledge_cutoff": "2024-09-30", - "expiration_date": null, + "expiration_date": "2026-12-11", "links": { "details": "/api/v1/models/openai/gpt-5-2025-08-07/endpoints" }, @@ -24044,58 +25594,58 @@ { "arena": "models", "category": "3d", - "elo": 1053, + "elo": 1035, "win_rate": 41.3, - "rank": 107 + "rank": 114 }, { "arena": "models", "category": "asciiart", - "elo": 1138, + "elo": 1136, "win_rate": 49, "rank": 51 }, { "arena": "models", "category": "codecategories", - "elo": 1166, + "elo": 1157, "win_rate": 54.5, - "rank": 78 + "rank": 83 }, { "arena": "models", "category": "dataviz", - "elo": 1221, + "elo": 1218, "win_rate": 60.5, "rank": 52 }, { "arena": "models", "category": "gamedev", - "elo": 1185, + "elo": 1175, "win_rate": 59.3, - "rank": 63 + "rank": 67 }, { "arena": "models", "category": "svg", - "elo": 1185, + "elo": 1178, "win_rate": 64.1, - "rank": 36 + "rank": 39 }, { "arena": "models", "category": "uicomponent", - "elo": 1174, + "elo": 1170, "win_rate": 57.4, - "rank": 70 + "rank": 73 }, { "arena": "models", "category": "website", - "elo": 1183, + "elo": 1176, "win_rate": 53.7, - "rank": 75 + "rank": 80 } ], "artificial_analysis": { @@ -24158,7 +25708,7 @@ }, "supported_voices": null, "knowledge_cutoff": null, - "expiration_date": null, + "expiration_date": "2026-12-11", "links": { "details": "/api/v1/models/openai/gpt-5-image/endpoints" }, @@ -24181,7 +25731,7 @@ { "arena": "models", "category": "image", - "elo": 1174, + "elo": 1173, "win_rate": 53.9, "rank": 9 }, @@ -24269,7 +25819,7 @@ { "arena": "models", "category": "image", - "elo": 1166, + "elo": 1165, "win_rate": 51, "rank": 11 }, @@ -24336,7 +25886,7 @@ }, "supported_voices": null, "knowledge_cutoff": "2024-05-31", - "expiration_date": null, + "expiration_date": "2026-12-11", "links": { "details": "/api/v1/models/openai/gpt-5-mini-2025-08-07/endpoints" }, @@ -24351,58 +25901,58 @@ { "arena": "models", "category": "3d", - "elo": 1034, + "elo": 1017, "win_rate": 36.9, - "rank": 109 + "rank": 117 }, { "arena": "models", "category": "asciiart", - "elo": 1122, + "elo": 1119, "win_rate": 44.8, "rank": 57 }, { "arena": "models", "category": "codecategories", - "elo": 1113, + "elo": 1104, "win_rate": 43.5, - "rank": 103 + "rank": 107 }, { "arena": "models", "category": "dataviz", - "elo": 1131, + "elo": 1128, "win_rate": 43.7, - "rank": 91 + "rank": 93 }, { "arena": "models", "category": "gamedev", - "elo": 1128, + "elo": 1119, "win_rate": 46.5, - "rank": 90 + "rank": 94 }, { "arena": "models", "category": "svg", - "elo": 1088, + "elo": 1080, "win_rate": 45.8, - "rank": 68 + "rank": 72 }, { "arena": "models", "category": "uicomponent", - "elo": 1101, + "elo": 1096, "win_rate": 41.9, - "rank": 96 + "rank": 100 }, { "arena": "models", "category": "website", - "elo": 1124, + "elo": 1117, "win_rate": 44.3, - "rank": 102 + "rank": 106 } ], "artificial_analysis": { @@ -24466,7 +26016,7 @@ }, "supported_voices": null, "knowledge_cutoff": "2024-05-31", - "expiration_date": null, + "expiration_date": "2026-12-11", "links": { "details": "/api/v1/models/openai/gpt-5-mini-2025-08-07/endpoints" }, @@ -24476,58 +26026,58 @@ { "arena": "models", "category": "3d", - "elo": 1034, + "elo": 1017, "win_rate": 36.9, - "rank": 109 + "rank": 117 }, { "arena": "models", "category": "asciiart", - "elo": 1122, + "elo": 1119, "win_rate": 44.8, "rank": 57 }, { "arena": "models", "category": "codecategories", - "elo": 1113, + "elo": 1104, "win_rate": 43.5, - "rank": 103 + "rank": 107 }, { "arena": "models", "category": "dataviz", - "elo": 1131, + "elo": 1128, "win_rate": 43.7, - "rank": 91 + "rank": 93 }, { "arena": "models", "category": "gamedev", - "elo": 1128, + "elo": 1119, "win_rate": 46.5, - "rank": 90 + "rank": 94 }, { "arena": "models", "category": "svg", - "elo": 1088, + "elo": 1080, "win_rate": 45.8, - "rank": 68 + "rank": 72 }, { "arena": "models", "category": "uicomponent", - "elo": 1101, + "elo": 1096, "win_rate": 41.9, - "rank": 96 + "rank": 100 }, { "arena": "models", "category": "website", - "elo": 1124, + "elo": 1117, "win_rate": 44.3, - "rank": 102 + "rank": 106 } ], "artificial_analysis": { @@ -24592,7 +26142,7 @@ }, "supported_voices": null, "knowledge_cutoff": "2024-05-31", - "expiration_date": null, + "expiration_date": "2026-12-11", "links": { "details": "/api/v1/models/openai/gpt-5-nano-2025-08-07/endpoints" }, @@ -24607,44 +26157,44 @@ { "arena": "models", "category": "3d", - "elo": 963, + "elo": 945, "win_rate": 36.3, - "rank": 120 + "rank": 127 }, { "arena": "models", "category": "codecategories", - "elo": 1082, + "elo": 1074, "win_rate": 48, - "rank": 111 + "rank": 115 }, { "arena": "models", "category": "dataviz", - "elo": 1056, + "elo": 1053, "win_rate": 46.2, - "rank": 110 + "rank": 112 }, { "arena": "models", "category": "gamedev", - "elo": 1043, + "elo": 1034, "win_rate": 46.5, - "rank": 116 + "rank": 120 }, { "arena": "models", "category": "uicomponent", - "elo": 1061, + "elo": 1057, "win_rate": 51.9, - "rank": 109 + "rank": 113 }, { "arena": "models", "category": "website", - "elo": 1101, + "elo": 1093, "win_rate": 48.9, - "rank": 111 + "rank": 116 } ] }, @@ -24703,7 +26253,7 @@ }, "supported_voices": null, "knowledge_cutoff": "2024-05-31", - "expiration_date": null, + "expiration_date": "2026-12-11", "links": { "details": "/api/v1/models/openai/gpt-5-nano-2025-08-07/endpoints" }, @@ -24713,44 +26263,44 @@ { "arena": "models", "category": "3d", - "elo": 963, + "elo": 945, "win_rate": 36.3, - "rank": 120 + "rank": 127 }, { "arena": "models", "category": "codecategories", - "elo": 1082, + "elo": 1074, "win_rate": 48, - "rank": 111 + "rank": 115 }, { "arena": "models", "category": "dataviz", - "elo": 1056, + "elo": 1053, "win_rate": 46.2, - "rank": 110 + "rank": 112 }, { "arena": "models", "category": "gamedev", - "elo": 1043, + "elo": 1034, "win_rate": 46.5, - "rank": 116 + "rank": 120 }, { "arena": "models", "category": "uicomponent", - "elo": 1061, + "elo": 1057, "win_rate": 51.9, - "rank": 109 + "rank": 113 }, { "arena": "models", "category": "website", - "elo": 1101, + "elo": 1093, "win_rate": 48.9, - "rank": 111 + "rank": 116 } ] }, @@ -24805,7 +26355,7 @@ }, "supported_voices": null, "knowledge_cutoff": "2024-09-30", - "expiration_date": null, + "expiration_date": "2026-12-11", "links": { "details": "/api/v1/models/openai/gpt-5-pro-2025-10-06/endpoints" }, @@ -24866,7 +26416,7 @@ }, "supported_voices": null, "knowledge_cutoff": "2024-09-30", - "expiration_date": null, + "expiration_date": "2026-12-11", "links": { "details": "/api/v1/models/openai/gpt-5-pro-2025-10-06/endpoints" }, @@ -24926,7 +26476,7 @@ }, "supported_voices": null, "knowledge_cutoff": "2024-09-30", - "expiration_date": null, + "expiration_date": "2026-12-11", "links": { "details": "/api/v1/models/openai/gpt-5-2025-08-07/endpoints" }, @@ -24936,58 +26486,58 @@ { "arena": "models", "category": "3d", - "elo": 1053, + "elo": 1035, "win_rate": 41.3, - "rank": 107 + "rank": 114 }, { "arena": "models", "category": "asciiart", - "elo": 1138, + "elo": 1136, "win_rate": 49, "rank": 51 }, { "arena": "models", "category": "codecategories", - "elo": 1166, + "elo": 1157, "win_rate": 54.5, - "rank": 78 + "rank": 83 }, { "arena": "models", "category": "dataviz", - "elo": 1221, + "elo": 1218, "win_rate": 60.5, "rank": 52 }, { "arena": "models", "category": "gamedev", - "elo": 1185, + "elo": 1175, "win_rate": 59.3, - "rank": 63 + "rank": 67 }, { "arena": "models", "category": "svg", - "elo": 1185, + "elo": 1178, "win_rate": 64.1, - "rank": 36 + "rank": 39 }, { "arena": "models", "category": "uicomponent", - "elo": 1174, + "elo": 1170, "win_rate": 57.4, - "rank": 70 + "rank": 73 }, { "arena": "models", "category": "website", - "elo": 1183, + "elo": 1176, "win_rate": 53.7, - "rank": 75 + "rank": 80 } ], "artificial_analysis": { @@ -25067,58 +26617,58 @@ { "arena": "models", "category": "3d", - "elo": 1058, + "elo": 1041, "win_rate": 43.7, - "rank": 106 + "rank": 113 }, { "arena": "models", "category": "asciiart", - "elo": 1116, + "elo": 1114, "win_rate": 48.6, - "rank": 58 + "rank": 59 }, { "arena": "models", "category": "codecategories", - "elo": 1169, + "elo": 1160, "win_rate": 53, - "rank": 76 + "rank": 80 }, { "arena": "models", "category": "dataviz", - "elo": 1204, + "elo": 1201, "win_rate": 58, - "rank": 58 + "rank": 59 }, { "arena": "models", "category": "gamedev", - "elo": 1177, + "elo": 1168, "win_rate": 55.9, - "rank": 64 + "rank": 68 }, { "arena": "models", "category": "svg", - "elo": 1146, + "elo": 1138, "win_rate": 57.4, - "rank": 51 + "rank": 56 }, { "arena": "models", "category": "uicomponent", - "elo": 1161, + "elo": 1156, "win_rate": 52.9, - "rank": 75 + "rank": 79 }, { "arena": "models", "category": "website", - "elo": 1185, + "elo": 1179, "win_rate": 54, - "rank": 74 + "rank": 78 } ], "artificial_analysis": { @@ -25200,56 +26750,56 @@ "category": "fullstack", "elo": 1086, "win_rate": 44.5, - "rank": 30 + "rank": 31 }, { "arena": "agents", "category": "mobileapps", "elo": 1191, "win_rate": 53.4, - "rank": 21 + "rank": 22 }, { "arena": "agents", "category": "webapps", - "elo": 1002, + "elo": 995, "win_rate": 44, - "rank": 45 + "rank": 48 }, { "arena": "models", "category": "codecategories", - "elo": 1151, + "elo": 1142, "win_rate": 54.6, - "rank": 86 + "rank": 92 }, { "arena": "models", "category": "dataviz", - "elo": 1213, + "elo": 1210, "win_rate": 55.9, "rank": 55 }, { "arena": "models", "category": "gamedev", - "elo": 1138, + "elo": 1127, "win_rate": 50.5, - "rank": 81 + "rank": 87 }, { "arena": "models", "category": "uicomponent", - "elo": 1232, + "elo": 1227, "win_rate": 60, - "rank": 48 + "rank": 52 }, { "arena": "models", "category": "website", - "elo": 1160, + "elo": 1154, "win_rate": 56.1, - "rank": 89 + "rank": 94 } ] }, @@ -25388,58 +26938,58 @@ { "arena": "models", "category": "3d", - "elo": 986, + "elo": 968, "win_rate": 32.8, - "rank": 117 + "rank": 124 }, { "arena": "models", "category": "asciiart", - "elo": 1102, + "elo": 1100, "win_rate": 43, "rank": 62 }, { "arena": "models", "category": "codecategories", - "elo": 1092, + "elo": 1083, "win_rate": 41.5, - "rank": 110 + "rank": 114 }, { "arena": "models", "category": "dataviz", - "elo": 1097, + "elo": 1094, "win_rate": 40.6, - "rank": 102 + "rank": 103 }, { "arena": "models", "category": "gamedev", - "elo": 1092, + "elo": 1082, "win_rate": 43.4, - "rank": 102 + "rank": 106 }, { "arena": "models", "category": "svg", - "elo": 974, + "elo": 967, "win_rate": 35.3, - "rank": 93 + "rank": 96 }, { "arena": "models", "category": "uicomponent", - "elo": 1076, + "elo": 1071, "win_rate": 41, - "rank": 106 + "rank": 110 }, { "arena": "models", "category": "website", - "elo": 1109, + "elo": 1103, "win_rate": 42.9, - "rank": 109 + "rank": 113 } ] }, @@ -25508,58 +27058,58 @@ { "arena": "models", "category": "3d", - "elo": 1058, + "elo": 1041, "win_rate": 43.7, - "rank": 106 + "rank": 113 }, { "arena": "models", "category": "asciiart", - "elo": 1116, + "elo": 1114, "win_rate": 48.6, - "rank": 58 + "rank": 59 }, { "arena": "models", "category": "codecategories", - "elo": 1169, + "elo": 1160, "win_rate": 53, - "rank": 76 + "rank": 80 }, { "arena": "models", "category": "dataviz", - "elo": 1204, + "elo": 1201, "win_rate": 58, - "rank": 58 + "rank": 59 }, { "arena": "models", "category": "gamedev", - "elo": 1177, + "elo": 1168, "win_rate": 55.9, - "rank": 64 + "rank": 68 }, { "arena": "models", "category": "svg", - "elo": 1146, + "elo": 1138, "win_rate": 57.4, - "rank": 51 + "rank": 56 }, { "arena": "models", "category": "uicomponent", - "elo": 1161, + "elo": 1156, "win_rate": 52.9, - "rank": 75 + "rank": 79 }, { "arena": "models", "category": "website", - "elo": 1185, + "elo": 1179, "win_rate": 54, - "rank": 74 + "rank": 78 } ], "artificial_analysis": { @@ -25640,93 +27190,93 @@ { "arena": "models", "category": "website", - "elo": 1193, + "elo": 1187, "win_rate": 54.4, - "rank": 68 + "rank": 70 }, { "arena": "agents", "category": "androidnative", - "elo": 1055, + "elo": 1045, "win_rate": 49.1, - "rank": 35 + "rank": 38 }, { "arena": "agents", "category": "fullstack", - "elo": 1036, - "win_rate": 44.3, - "rank": 38 + "elo": 1014, + "win_rate": 44.2, + "rank": 40 }, { "arena": "agents", "category": "godotgamedev", "elo": 1142, "win_rate": 48.1, - "rank": 23 + "rank": 22 }, { "arena": "agents", "category": "mobileapps", - "elo": 1093, + "elo": 1085, "win_rate": 46.8, - "rank": 42 + "rank": 44 }, { "arena": "agents", "category": "webapps", - "elo": 1070, + "elo": 1062, "win_rate": 45.5, - "rank": 40 + "rank": 42 }, { "arena": "models", "category": "3d", - "elo": 1075, + "elo": 1059, "win_rate": 41.5, - "rank": 100 + "rank": 108 }, { "arena": "models", "category": "codecategories", - "elo": 1168, + "elo": 1159, "win_rate": 49.6, - "rank": 77 + "rank": 81 }, { "arena": "models", "category": "dataviz", "elo": 1202, "win_rate": 56.1, - "rank": 61 + "rank": 58 }, { "arena": "models", "category": "gamedev", - "elo": 1195, + "elo": 1184, "win_rate": 56, - "rank": 60 + "rank": 63 }, { "arena": "models", "category": "uicomponent", - "elo": 1185, + "elo": 1180, "win_rate": 51.3, - "rank": 67 + "rank": 71 }, { "arena": "models", "category": "asciiart", - "elo": 1149, + "elo": 1147, "win_rate": 50.7, "rank": 45 }, { "arena": "models", "category": "svg", - "elo": 1135, + "elo": 1128, "win_rate": 53.7, - "rank": 57 + "rank": 59 } ] }, @@ -25858,30 +27408,30 @@ { "arena": "agents", "category": "fullstack", - "elo": 986, + "elo": 965, "win_rate": 37.2, - "rank": 42 + "rank": 44 }, { "arena": "agents", "category": "godotgamedev", "elo": 1142, "win_rate": 47.8, - "rank": 24 + "rank": 23 }, { "arena": "agents", "category": "mobileapps", - "elo": 1088, + "elo": 1082, "win_rate": 46.6, - "rank": 44 + "rank": 46 }, { "arena": "agents", "category": "webapps", - "elo": 1035, + "elo": 1027, "win_rate": 39.6, - "rank": 43 + "rank": 45 } ] }, @@ -26067,93 +27617,93 @@ { "arena": "models", "category": "website", - "elo": 1193, + "elo": 1187, "win_rate": 54.4, - "rank": 68 + "rank": 70 }, { "arena": "agents", "category": "androidnative", - "elo": 1055, + "elo": 1045, "win_rate": 49.1, - "rank": 35 + "rank": 38 }, { "arena": "agents", "category": "fullstack", - "elo": 1036, - "win_rate": 44.3, - "rank": 38 + "elo": 1014, + "win_rate": 44.2, + "rank": 40 }, { "arena": "agents", "category": "godotgamedev", "elo": 1142, "win_rate": 48.1, - "rank": 23 + "rank": 22 }, { "arena": "agents", "category": "mobileapps", - "elo": 1093, + "elo": 1085, "win_rate": 46.8, - "rank": 42 + "rank": 44 }, { "arena": "agents", "category": "webapps", - "elo": 1070, + "elo": 1062, "win_rate": 45.5, - "rank": 40 + "rank": 42 }, { "arena": "models", "category": "3d", - "elo": 1075, + "elo": 1059, "win_rate": 41.5, - "rank": 100 + "rank": 108 }, { "arena": "models", "category": "codecategories", - "elo": 1168, + "elo": 1159, "win_rate": 49.6, - "rank": 77 + "rank": 81 }, { "arena": "models", "category": "dataviz", "elo": 1202, "win_rate": 56.1, - "rank": 61 + "rank": 58 }, { "arena": "models", "category": "gamedev", - "elo": 1195, + "elo": 1184, "win_rate": 56, - "rank": 60 + "rank": 63 }, { "arena": "models", "category": "uicomponent", - "elo": 1185, + "elo": 1180, "win_rate": 51.3, - "rank": 67 + "rank": 71 }, { "arena": "models", "category": "asciiart", - "elo": 1149, + "elo": 1147, "win_rate": 50.7, "rank": 45 }, { "arena": "models", "category": "svg", - "elo": 1135, + "elo": 1128, "win_rate": 53.7, - "rank": 57 + "rank": 59 } ] }, @@ -26230,14 +27780,14 @@ "category": "androidnative", "elo": 1084, "win_rate": 35.2, - "rank": 33 + "rank": 36 }, { "arena": "agents", "category": "fullstack", - "elo": 976, + "elo": 955, "win_rate": 36.5, - "rank": 43 + "rank": 45 }, { "arena": "agents", @@ -26249,72 +27799,72 @@ { "arena": "agents", "category": "mobileapps", - "elo": 1053, + "elo": 1045, "win_rate": 41.4, - "rank": 48 + "rank": 50 }, { "arena": "agents", "category": "webapps", - "elo": 1016, + "elo": 1009, "win_rate": 36.9, - "rank": 44 + "rank": 46 }, { "arena": "models", "category": "3d", - "elo": 1005, + "elo": 988, "win_rate": 35.3, - "rank": 113 + "rank": 120 }, { "arena": "models", "category": "asciiart", - "elo": 1149, + "elo": 1147, "win_rate": 51.2, "rank": 44 }, { "arena": "models", "category": "codecategories", - "elo": 1143, + "elo": 1134, "win_rate": 47.2, - "rank": 91 + "rank": 95 }, { "arena": "models", "category": "dataviz", - "elo": 1164, + "elo": 1161, "win_rate": 50.6, "rank": 76 }, { "arena": "models", "category": "gamedev", - "elo": 1161, + "elo": 1151, "win_rate": 51.3, - "rank": 73 + "rank": 77 }, { "arena": "models", "category": "svg", - "elo": 1126, + "elo": 1118, "win_rate": 54, - "rank": 60 + "rank": 63 }, { "arena": "models", "category": "uicomponent", - "elo": 1132, + "elo": 1127, "win_rate": 47.3, - "rank": 88 + "rank": 92 }, { "arena": "models", "category": "website", - "elo": 1161, + "elo": 1155, "win_rate": 48.6, - "rank": 88 + "rank": 93 } ] }, @@ -26397,93 +27947,93 @@ { "arena": "models", "category": "3d", - "elo": 1099, + "elo": 1081, "win_rate": 42.3, - "rank": 90 + "rank": 97 }, { "arena": "models", "category": "asciiart", - "elo": 1196, + "elo": 1194, "win_rate": 55.4, "rank": 28 }, { "arena": "models", "category": "codecategories", - "elo": 1210, + "elo": 1201, "win_rate": 52.5, - "rank": 59 + "rank": 64 }, { "arena": "models", "category": "dataviz", - "elo": 1235, + "elo": 1232, "win_rate": 56.6, "rank": 43 }, { "arena": "models", "category": "gamedev", - "elo": 1237, + "elo": 1228, "win_rate": 57.6, - "rank": 41 + "rank": 45 }, { "arena": "models", "category": "svg", - "elo": 1191, + "elo": 1184, "win_rate": 57.8, - "rank": 34 + "rank": 35 }, { "arena": "models", "category": "uicomponent", - "elo": 1234, + "elo": 1230, "win_rate": 57.4, - "rank": 46 + "rank": 49 }, { "arena": "models", "category": "website", - "elo": 1219, + "elo": 1212, "win_rate": 52.5, - "rank": 61 + "rank": 65 }, { "arena": "agents", "category": "androidnative", - "elo": 1027, - "win_rate": 47.4, - "rank": 39 + "elo": 1021, + "win_rate": 47.7, + "rank": 42 }, { "arena": "agents", "category": "fullstack", - "elo": 1010, + "elo": 989, "win_rate": 40.9, - "rank": 40 + "rank": 42 }, { "arena": "agents", "category": "godotgamedev", "elo": 1135, "win_rate": 46.9, - "rank": 25 + "rank": 24 }, { "arena": "agents", "category": "mobileapps", - "elo": 1085, + "elo": 1079, "win_rate": 46.1, - "rank": 46 + "rank": 48 }, { "arena": "agents", "category": "webapps", - "elo": 1043, + "elo": 1035, "win_rate": 40.3, - "rank": 42 + "rank": 44 } ], "artificial_analysis": { @@ -27060,93 +28610,93 @@ { "arena": "models", "category": "3d", - "elo": 1099, + "elo": 1081, "win_rate": 42.3, - "rank": 90 + "rank": 97 }, { "arena": "models", "category": "asciiart", - "elo": 1196, + "elo": 1194, "win_rate": 55.4, "rank": 28 }, { "arena": "models", "category": "codecategories", - "elo": 1210, + "elo": 1201, "win_rate": 52.5, - "rank": 59 + "rank": 64 }, { "arena": "models", "category": "dataviz", - "elo": 1235, + "elo": 1232, "win_rate": 56.6, "rank": 43 }, { "arena": "models", "category": "gamedev", - "elo": 1237, + "elo": 1228, "win_rate": 57.6, - "rank": 41 + "rank": 45 }, { "arena": "models", "category": "svg", - "elo": 1191, + "elo": 1184, "win_rate": 57.8, - "rank": 34 + "rank": 35 }, { "arena": "models", "category": "uicomponent", - "elo": 1234, + "elo": 1230, "win_rate": 57.4, - "rank": 46 + "rank": 49 }, { "arena": "models", "category": "website", - "elo": 1219, + "elo": 1212, "win_rate": 52.5, - "rank": 61 + "rank": 65 }, { "arena": "agents", "category": "androidnative", - "elo": 1027, - "win_rate": 47.4, - "rank": 39 + "elo": 1021, + "win_rate": 47.7, + "rank": 42 }, { "arena": "agents", "category": "fullstack", - "elo": 1010, + "elo": 989, "win_rate": 40.9, - "rank": 40 + "rank": 42 }, { "arena": "agents", "category": "godotgamedev", "elo": 1135, "win_rate": 46.9, - "rank": 25 + "rank": 24 }, { "arena": "agents", "category": "mobileapps", - "elo": 1085, + "elo": 1079, "win_rate": 46.1, - "rank": 46 + "rank": 48 }, { "arena": "agents", "category": "webapps", - "elo": 1043, + "elo": 1035, "win_rate": 40.3, - "rank": 42 + "rank": 44 } ], "artificial_analysis": { @@ -27235,9 +28785,9 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1125, - "win_rate": 52.4, - "rank": 16 + "elo": 1122, + "win_rate": 52.3, + "rank": 14 }, { "arena": "agents", @@ -27270,37 +28820,37 @@ { "arena": "agents", "category": "androidnative", - "elo": 1162, - "win_rate": 50.9, - "rank": 22 + "elo": 1154, + "win_rate": 50.8, + "rank": 26 }, { "arena": "agents", "category": "fullstack", - "elo": 1082, + "elo": 1061, "win_rate": 43, - "rank": 31 + "rank": 34 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1173, + "elo": 1152, "win_rate": 52.3, "rank": 18 }, { "arena": "agents", "category": "htmlslides", - "elo": 963, + "elo": 962, "win_rate": 35.6, "rank": 24 }, { "arena": "agents", "category": "mobileapps", - "elo": 1142, + "elo": 1134, "win_rate": 50.4, - "rank": 33 + "rank": 35 }, { "arena": "agents", @@ -27314,70 +28864,70 @@ "category": "python-pptxslides", "elo": 1152, "win_rate": 43.3, - "rank": 18 + "rank": 21 }, { "arena": "agents", "category": "webapps", - "elo": 1101, + "elo": 1093, "win_rate": 42.6, - "rank": 37 + "rank": 39 }, { "arena": "models", "category": "3d", - "elo": 1194, - "win_rate": 49.2, - "rank": 52 + "elo": 1175, + "win_rate": 49, + "rank": 59 }, { "arena": "models", "category": "asciiart", - "elo": 1252, - "win_rate": 58, - "rank": 18 + "elo": 1247, + "win_rate": 57.4, + "rank": 19 }, { "arena": "models", "category": "codecategories", - "elo": 1258, + "elo": 1249, "win_rate": 52.9, - "rank": 39 + "rank": 44 }, { "arena": "models", "category": "dataviz", - "elo": 1263, - "win_rate": 55.3, + "elo": 1259, + "win_rate": 55.4, "rank": 31 }, { "arena": "models", "category": "gamedev", - "elo": 1291, - "win_rate": 56.5, - "rank": 21 + "elo": 1282, + "win_rate": 56.2, + "rank": 23 }, { "arena": "models", "category": "svg", - "elo": 1230, + "elo": 1225, "win_rate": 54.8, "rank": 21 }, { "arena": "models", "category": "uicomponent", - "elo": 1256, - "win_rate": 53.3, - "rank": 40 + "elo": 1250, + "win_rate": 53.2, + "rank": 44 }, { "arena": "models", "category": "website", - "elo": 1255, - "win_rate": 52.1, - "rank": 41 + "elo": 1248, + "win_rate": 52.2, + "rank": 46 } ], "artificial_analysis": { @@ -27597,9 +29147,9 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1125, - "win_rate": 52.4, - "rank": 16 + "elo": 1122, + "win_rate": 52.3, + "rank": 14 }, { "arena": "agents", @@ -27632,37 +29182,37 @@ { "arena": "agents", "category": "androidnative", - "elo": 1162, - "win_rate": 50.9, - "rank": 22 + "elo": 1154, + "win_rate": 50.8, + "rank": 26 }, { "arena": "agents", "category": "fullstack", - "elo": 1082, + "elo": 1061, "win_rate": 43, - "rank": 31 + "rank": 34 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1173, + "elo": 1152, "win_rate": 52.3, "rank": 18 }, { "arena": "agents", "category": "htmlslides", - "elo": 963, + "elo": 962, "win_rate": 35.6, "rank": 24 }, { "arena": "agents", "category": "mobileapps", - "elo": 1142, + "elo": 1134, "win_rate": 50.4, - "rank": 33 + "rank": 35 }, { "arena": "agents", @@ -27676,70 +29226,70 @@ "category": "python-pptxslides", "elo": 1152, "win_rate": 43.3, - "rank": 18 + "rank": 21 }, { "arena": "agents", "category": "webapps", - "elo": 1101, + "elo": 1093, "win_rate": 42.6, - "rank": 37 + "rank": 39 }, { "arena": "models", "category": "3d", - "elo": 1194, - "win_rate": 49.2, - "rank": 52 + "elo": 1175, + "win_rate": 49, + "rank": 59 }, { "arena": "models", "category": "asciiart", - "elo": 1252, - "win_rate": 58, - "rank": 18 + "elo": 1247, + "win_rate": 57.4, + "rank": 19 }, { "arena": "models", "category": "codecategories", - "elo": 1258, + "elo": 1249, "win_rate": 52.9, - "rank": 39 + "rank": 44 }, { "arena": "models", "category": "dataviz", - "elo": 1263, - "win_rate": 55.3, + "elo": 1259, + "win_rate": 55.4, "rank": 31 }, { "arena": "models", "category": "gamedev", - "elo": 1291, - "win_rate": 56.5, - "rank": 21 + "elo": 1282, + "win_rate": 56.2, + "rank": 23 }, { "arena": "models", "category": "svg", - "elo": 1230, + "elo": 1225, "win_rate": 54.8, "rank": 21 }, { "arena": "models", "category": "uicomponent", - "elo": 1256, - "win_rate": 53.3, - "rank": 40 + "elo": 1250, + "win_rate": 53.2, + "rank": 44 }, { "arena": "models", "category": "website", - "elo": 1255, - "win_rate": 52.1, - "rank": 41 + "elo": 1248, + "win_rate": 52.2, + "rank": 46 } ], "artificial_analysis": { @@ -28182,7 +29732,7 @@ "top_provider": { "context_length": 1050000, "max_completion_tokens": 128000, - "is_moderated": false + "is_moderated": true }, "per_request_limits": null, "supported_parameters": [ @@ -28795,7 +30345,7 @@ "top_provider": { "context_length": 1050000, "max_completion_tokens": 128000, - "is_moderated": false + "is_moderated": true }, "per_request_limits": null, "supported_parameters": [ @@ -29656,89 +31206,103 @@ ], "benchmarks": { "design_arena": [ + { + "arena": "agents", + "category": "androidnative", + "elo": 1190, + "win_rate": 48.9, + "rank": 16 + }, { "arena": "agents", "category": "blender3d", - "elo": 1296, - "win_rate": 69.1, + "elo": 1271, + "win_rate": 60, "rank": 2 }, { "arena": "agents", "category": "codetovideo", - "elo": 1182, - "win_rate": 52.2, - "rank": 9 + "elo": 1183, + "win_rate": 54.7, + "rank": 12 }, { "arena": "agents", "category": "mobileapps", - "elo": 1233, - "win_rate": 52.8, - "rank": 9 + "elo": 1228, + "win_rate": 53, + "rank": 11 }, { "arena": "agents", "category": "pdf", - "elo": 1133, - "win_rate": 43.4, - "rank": 24 + "elo": 1130, + "win_rate": 43.5, + "rank": 27 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1295, - "win_rate": 53, - "rank": 4 + "elo": 1224, + "win_rate": 44.4, + "rank": 14 }, { "arena": "agents", "category": "webapps", - "elo": 1274, - "win_rate": 57.1, - "rank": 9 + "elo": 1278, + "win_rate": 56.4, + "rank": 7 }, { "arena": "models", "category": "3d", - "elo": 1435, - "win_rate": 58.4, - "rank": 4 + "elo": 1426, + "win_rate": 59.1, + "rank": 6 }, { "arena": "models", "category": "codecategories", - "elo": 1358, - "win_rate": 56.4, - "rank": 3 + "elo": 1361, + "win_rate": 56.8, + "rank": 4 }, { "arena": "models", "category": "dataviz", - "elo": 1285, - "win_rate": 53.3, - "rank": 18 + "elo": 1277, + "win_rate": 52, + "rank": 21 }, { "arena": "models", "category": "gamedev", - "elo": 1413, - "win_rate": 60.3, - "rank": 2 + "elo": 1408, + "win_rate": 60.1, + "rank": 3 + }, + { + "arena": "models", + "category": "svg", + "elo": 1343, + "win_rate": 61, + "rank": 1 }, { "arena": "models", "category": "uicomponent", - "elo": 1341, - "win_rate": 58.4, - "rank": 7 + "elo": 1360, + "win_rate": 60.9, + "rank": 6 }, { "arena": "models", "category": "website", - "elo": 1312, - "win_rate": 53.5, - "rank": 8 + "elo": 1315, + "win_rate": 53.9, + "rank": 10 } ], "artificial_analysis": { @@ -29961,89 +31525,103 @@ "endpoints": ["/api/v1/batches"], "benchmarks": { "design_arena": [ + { + "arena": "agents", + "category": "androidnative", + "elo": 1190, + "win_rate": 48.9, + "rank": 16 + }, { "arena": "agents", "category": "blender3d", - "elo": 1296, - "win_rate": 69.1, + "elo": 1271, + "win_rate": 60, "rank": 2 }, { "arena": "agents", "category": "codetovideo", - "elo": 1182, - "win_rate": 52.2, - "rank": 9 + "elo": 1183, + "win_rate": 54.7, + "rank": 12 }, { "arena": "agents", "category": "mobileapps", - "elo": 1233, - "win_rate": 52.8, - "rank": 9 + "elo": 1228, + "win_rate": 53, + "rank": 11 }, { "arena": "agents", "category": "pdf", - "elo": 1133, - "win_rate": 43.4, - "rank": 24 + "elo": 1130, + "win_rate": 43.5, + "rank": 27 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1295, - "win_rate": 53, - "rank": 4 + "elo": 1224, + "win_rate": 44.4, + "rank": 14 }, { "arena": "agents", "category": "webapps", - "elo": 1274, - "win_rate": 57.1, - "rank": 9 + "elo": 1278, + "win_rate": 56.4, + "rank": 7 }, { "arena": "models", "category": "3d", - "elo": 1435, - "win_rate": 58.4, - "rank": 4 + "elo": 1426, + "win_rate": 59.1, + "rank": 6 }, { "arena": "models", "category": "codecategories", - "elo": 1358, - "win_rate": 56.4, - "rank": 3 + "elo": 1361, + "win_rate": 56.8, + "rank": 4 }, { "arena": "models", "category": "dataviz", - "elo": 1285, - "win_rate": 53.3, - "rank": 18 + "elo": 1277, + "win_rate": 52, + "rank": 21 }, { "arena": "models", "category": "gamedev", - "elo": 1413, - "win_rate": 60.3, - "rank": 2 + "elo": 1408, + "win_rate": 60.1, + "rank": 3 + }, + { + "arena": "models", + "category": "svg", + "elo": 1343, + "win_rate": 61, + "rank": 1 }, { "arena": "models", "category": "uicomponent", - "elo": 1341, - "win_rate": 58.4, - "rank": 7 + "elo": 1360, + "win_rate": 60.9, + "rank": 6 }, { "arena": "models", "category": "website", - "elo": 1312, - "win_rate": 53.5, - "rank": 8 + "elo": 1315, + "win_rate": 53.9, + "rank": 10 } ], "artificial_analysis": { @@ -30554,9 +32132,9 @@ "instruct_type": null }, "pricing": { - "prompt": "0.000000027", - "completion": "0.000000102", - "input_cache_read": "0.000000025" + "prompt": "0.00000015", + "completion": "0.0000006", + "input_cache_read": "0.000000075" }, "top_provider": { "context_length": 131072, @@ -30609,48 +32187,48 @@ { "arena": "models", "category": "3d", - "elo": 898, + "elo": 881, "win_rate": 29.4, - "rank": 123 + "rank": 130 }, { "arena": "models", "category": "codecategories", - "elo": 961, + "elo": 952, "win_rate": 33.4, - "rank": 135 + "rank": 139 }, { "arena": "models", "category": "dataviz", - "elo": 987, + "elo": 984, "win_rate": 43.6, - "rank": 119 + "rank": 122 }, { "arena": "models", "category": "gamedev", - "elo": 992, + "elo": 981, "win_rate": 40.5, - "rank": 124 + "rank": 128 }, { "arena": "models", "category": "uicomponent", - "elo": 921, + "elo": 917, "win_rate": 35.7, - "rank": 129 + "rank": 133 }, { "arena": "models", "category": "website", - "elo": 966, + "elo": 960, "win_rate": 32.5, - "rank": 137 + "rank": 141 } ], "artificial_analysis": { - "intelligence_index": null, + "intelligence_index": 3.8, "coding_index": 30.4, "agentic_index": 3.7 } @@ -30723,48 +32301,48 @@ { "arena": "models", "category": "3d", - "elo": 898, + "elo": 881, "win_rate": 29.4, - "rank": 123 + "rank": 130 }, { "arena": "models", "category": "codecategories", - "elo": 961, + "elo": 952, "win_rate": 33.4, - "rank": 135 + "rank": 139 }, { "arena": "models", "category": "dataviz", - "elo": 987, + "elo": 984, "win_rate": 43.6, - "rank": 119 + "rank": 122 }, { "arena": "models", "category": "gamedev", - "elo": 992, + "elo": 981, "win_rate": 40.5, - "rank": 124 + "rank": 128 }, { "arena": "models", "category": "uicomponent", - "elo": 921, + "elo": 917, "win_rate": 35.7, - "rank": 129 + "rank": 133 }, { "arena": "models", "category": "website", - "elo": 966, + "elo": 960, "win_rate": 32.5, - "rank": 137 + "rank": 141 } ], "artificial_analysis": { - "intelligence_index": null, + "intelligence_index": 3.8, "coding_index": 30.4, "agentic_index": 3.7 } @@ -30847,14 +32425,14 @@ "category": "dataviz", "elo": 933, "win_rate": 39.7, - "rank": 125 + "rank": 127 }, { "arena": "models", "category": "website", - "elo": 852, + "elo": 844, "win_rate": 27.9, - "rank": 143 + "rank": 148 } ], "artificial_analysis": { @@ -30933,14 +32511,14 @@ "category": "dataviz", "elo": 933, "win_rate": 39.7, - "rank": 125 + "rank": 127 }, { "arena": "models", "category": "website", - "elo": 852, + "elo": 844, "win_rate": 27.9, - "rank": 143 + "rank": 148 } ], "artificial_analysis": { @@ -31051,7 +32629,7 @@ "default_parameters": {}, "supported_voices": null, "knowledge_cutoff": "2024-06-30", - "expiration_date": null, + "expiration_date": "2026-12-11", "links": { "details": "/api/v1/models/openai/o3-2025-04-16/endpoints" }, @@ -31066,37 +32644,37 @@ { "arena": "models", "category": "codecategories", - "elo": 1018, + "elo": 1009, "win_rate": 51.9, - "rank": 125 + "rank": 129 }, { "arena": "models", "category": "dataviz", "elo": 1200, "win_rate": 48.1, - "rank": 62 + "rank": 61 }, { "arena": "models", "category": "gamedev", - "elo": 1034, + "elo": 1024, "win_rate": 56.9, - "rank": 118 + "rank": 123 }, { "arena": "models", "category": "uicomponent", - "elo": 1011, + "elo": 1007, "win_rate": 53.3, - "rank": 119 + "rank": 123 }, { "arena": "models", "category": "website", - "elo": 1036, + "elo": 1028, "win_rate": 53.8, - "rank": 126 + "rank": 130 } ] }, @@ -31203,7 +32781,7 @@ }, "supported_voices": null, "knowledge_cutoff": "2024-06-30", - "expiration_date": null, + "expiration_date": "2026-12-11", "links": { "details": "/api/v1/models/openai/o3-pro-2025-06-10/endpoints" }, @@ -31257,7 +32835,7 @@ "default_parameters": {}, "supported_voices": null, "knowledge_cutoff": "2024-06-30", - "expiration_date": null, + "expiration_date": "2026-12-11", "links": { "details": "/api/v1/models/openai/o3-2025-04-16/endpoints" }, @@ -31267,37 +32845,37 @@ { "arena": "models", "category": "codecategories", - "elo": 1018, + "elo": 1009, "win_rate": 51.9, - "rank": 125 + "rank": 129 }, { "arena": "models", "category": "dataviz", "elo": 1200, "win_rate": 48.1, - "rank": 62 + "rank": 61 }, { "arena": "models", "category": "gamedev", - "elo": 1034, + "elo": 1024, "win_rate": 56.9, - "rank": 118 + "rank": 123 }, { "arena": "models", "category": "uicomponent", - "elo": 1011, + "elo": 1007, "win_rate": 53.3, - "rank": 119 + "rank": 123 }, { "arena": "models", "category": "website", - "elo": 1036, + "elo": 1028, "win_rate": 53.8, - "rank": 126 + "rank": 130 } ] }, @@ -31355,44 +32933,44 @@ { "arena": "models", "category": "3d", - "elo": 851, + "elo": 834, "win_rate": 34, - "rank": 127 + "rank": 134 }, { "arena": "models", "category": "codecategories", - "elo": 974, + "elo": 965, "win_rate": 46.4, - "rank": 133 + "rank": 137 }, { "arena": "models", "category": "dataviz", - "elo": 991, + "elo": 988, "win_rate": 50, - "rank": 118 + "rank": 120 }, { "arena": "models", "category": "gamedev", - "elo": 1003, + "elo": 992, "win_rate": 50, - "rank": 123 + "rank": 127 }, { "arena": "models", "category": "uicomponent", - "elo": 978, + "elo": 974, "win_rate": 46.9, - "rank": 122 + "rank": 125 }, { "arena": "models", "category": "website", - "elo": 985, + "elo": 977, "win_rate": 47.1, - "rank": 133 + "rank": 138 } ] }, @@ -31475,6 +33053,80 @@ "default_effort": "high" } }, + { + "id": "particle-ai/particle-1:free", + "canonical_slug": "particle-ai/particle-1-20261027", + "hugging_face_id": null, + "name": "Particle AI: Particle-1 (free)", + "created": 1793207893, + "description": "Particle-1 is a token-efficient agentic coding model from Particle AI, post-trained on DeepSeek V4.1 Flash. It is suited for software engineering work such as terminal workflows, codebase changes, and data...", + "context_length": 1048576, + "architecture": { + "modality": "text+image->text", + "input_modalities": ["text", "image"], + "output_modalities": ["text"], + "tokenizer": "Other", + "instruct_type": null + }, + "pricing": { + "prompt": "0", + "completion": "0" + }, + "top_provider": { + "context_length": 1048576, + "max_completion_tokens": 131072, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "frequency_penalty", + "include_reasoning", + "logprobs", + "max_tokens", + "min_p", + "presence_penalty", + "reasoning", + "reasoning_effort", + "repetition_penalty", + "response_format", + "seed", + "stop", + "structured_outputs", + "temperature", + "tool_choice", + "tools", + "top_k", + "top_logprobs", + "top_p" + ], + "default_parameters": {}, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/particle-ai/particle-1-20261027/endpoints" + }, + "endpoints": [ + "/api/v1/chat/completions", + "/api/v1/completions", + "/api/v1/messages", + "/api/v1/responses" + ], + "reasoning": { + "mandatory": false, + "default_enabled": true, + "supported_efforts": [ + "max", + "xhigh", + "high", + "medium", + "low", + "minimal", + "none" + ], + "default_effort": "high" + } + }, { "id": "perceptron/perceptron-mk1", "canonical_slug": "perceptron/perceptron-mk1-20260512", @@ -32052,65 +33704,6 @@ "/api/v1/responses" ] }, - { - "id": "qwen/qwen-2.5-7b-instruct", - "canonical_slug": "qwen/qwen-2.5-7b-instruct", - "hugging_face_id": "Qwen/Qwen2.5-7B-Instruct", - "name": "Qwen: Qwen2.5 7B Instruct", - "created": 1729036800, - "description": "Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...", - "context_length": 32768, - "architecture": { - "modality": "text->text", - "input_modalities": ["text"], - "output_modalities": ["text"], - "tokenizer": "Qwen", - "instruct_type": "chatml" - }, - "pricing": { - "prompt": "0.0000001", - "completion": "0.0000002" - }, - "top_provider": { - "context_length": 32768, - "max_completion_tokens": 29491, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "frequency_penalty", - "max_tokens", - "min_p", - "presence_penalty", - "repetition_penalty", - "response_format", - "seed", - "stop", - "structured_outputs", - "temperature", - "tool_choice", - "tools", - "top_k", - "top_p" - ], - "default_parameters": { - "temperature": null, - "top_p": null, - "frequency_penalty": null - }, - "supported_voices": null, - "knowledge_cutoff": "2024-06-30", - "expiration_date": null, - "links": { - "details": "/api/v1/models/qwen/qwen-2.5-7b-instruct/endpoints" - }, - "endpoints": [ - "/api/v1/chat/completions", - "/api/v1/completions", - "/api/v1/messages", - "/api/v1/responses" - ] - }, { "id": "qwen/qwen-2.5-coder-32b-instruct", "canonical_slug": "qwen/qwen-2.5-coder-32b-instruct", @@ -32420,44 +34013,44 @@ { "arena": "models", "category": "3d", - "elo": 991, + "elo": 974, "win_rate": 41.1, - "rank": 115 + "rank": 122 }, { "arena": "models", "category": "codecategories", - "elo": 1037, + "elo": 1028, "win_rate": 42.6, - "rank": 120 + "rank": 124 }, { "arena": "models", "category": "dataviz", - "elo": 1070, + "elo": 1067, "win_rate": 49, - "rank": 109 + "rank": 111 }, { "arena": "models", "category": "gamedev", - "elo": 950, + "elo": 941, "win_rate": 35, - "rank": 132 + "rank": 136 }, { "arena": "models", "category": "uicomponent", - "elo": 960, + "elo": 955, "win_rate": 38.4, - "rank": 123 + "rank": 127 }, { "arena": "models", "category": "website", - "elo": 1056, + "elo": 1050, "win_rate": 43.6, - "rank": 121 + "rank": 125 } ] } @@ -32522,44 +34115,44 @@ { "arena": "models", "category": "3d", - "elo": 995, + "elo": 977, "win_rate": 40.4, - "rank": 114 + "rank": 121 }, { "arena": "models", "category": "codecategories", - "elo": 1031, + "elo": 1022, "win_rate": 40.8, - "rank": 122 + "rank": 127 }, { "arena": "models", "category": "dataviz", "elo": 950, "win_rate": 32.6, - "rank": 122 + "rank": 124 }, { "arena": "models", "category": "gamedev", - "elo": 957, + "elo": 946, "win_rate": 34.2, - "rank": 130 + "rank": 135 }, { "arena": "models", "category": "uicomponent", - "elo": 940, + "elo": 935, "win_rate": 34, - "rank": 127 + "rank": 132 }, { "arena": "models", "category": "website", - "elo": 1051, + "elo": 1044, "win_rate": 42, - "rank": 122 + "rank": 126 } ], "artificial_analysis": { @@ -32638,37 +34231,37 @@ { "arena": "models", "category": "codecategories", - "elo": 940, + "elo": 931, "win_rate": 37.5, - "rank": 136 + "rank": 140 }, { "arena": "models", "category": "dataviz", "elo": 967, "win_rate": 39, - "rank": 121 + "rank": 123 }, { "arena": "models", "category": "gamedev", - "elo": 897, + "elo": 888, "win_rate": 33.9, - "rank": 137 + "rank": 141 }, { "arena": "models", "category": "uicomponent", - "elo": 940, + "elo": 936, "win_rate": 42.4, - "rank": 128 + "rank": 131 }, { "arena": "models", "category": "website", - "elo": 953, + "elo": 946, "win_rate": 37.7, - "rank": 138 + "rank": 142 } ] }, @@ -32868,37 +34461,37 @@ { "arena": "models", "category": "codecategories", - "elo": 1141, + "elo": 1132, "win_rate": 61.2, - "rank": 93 + "rank": 96 }, { "arena": "models", "category": "dataviz", "elo": 1084, "win_rate": 54.9, - "rank": 106 + "rank": 108 }, { "arena": "models", "category": "gamedev", - "elo": 1099, + "elo": 1088, "win_rate": 58.7, - "rank": 97 + "rank": 101 }, { "arena": "models", "category": "uicomponent", - "elo": 1107, + "elo": 1103, "win_rate": 61.4, - "rank": 95 + "rank": 99 }, { "arena": "models", "category": "website", - "elo": 1157, + "elo": 1150, "win_rate": 61.7, - "rank": 92 + "rank": 96 } ] } @@ -32960,21 +34553,21 @@ "category": "dataviz", "elo": 1085, "win_rate": 54.7, - "rank": 105 + "rank": 106 }, { "arena": "models", "category": "uicomponent", - "elo": 1041, + "elo": 1036, "win_rate": 54.1, - "rank": 111 + "rank": 116 }, { "arena": "models", "category": "website", - "elo": 1087, + "elo": 1079, "win_rate": 57.1, - "rank": 114 + "rank": 118 } ] } @@ -33359,7 +34952,7 @@ }, "supported_voices": null, "knowledge_cutoff": "2025-03-31", - "expiration_date": null, + "expiration_date": "2026-11-15", "links": { "details": "/api/v1/models/qwen/qwen3-vl-30b-a3b-thinking/endpoints" }, @@ -33678,13 +35271,13 @@ "instruct_type": null }, "pricing": { - "prompt": "0.0000005", + "prompt": "0.0000006", "completion": "0.0000036", - "input_cache_read": "0.0000003" + "input_cache_read": "0.00000012" }, "top_provider": { - "context_length": 262144, - "max_completion_tokens": 235929, + "context_length": 256000, + "max_completion_tokens": 64000, "is_moderated": false }, "per_request_limits": null, @@ -33734,51 +35327,51 @@ { "arena": "models", "category": "3d", - "elo": 1158, + "elo": 1141, "win_rate": 56.7, - "rank": 66 + "rank": 73 }, { "arena": "models", "category": "codecategories", - "elo": 1178, - "win_rate": 52.6, - "rank": 70 + "elo": 1169, + "win_rate": 52.7, + "rank": 73 }, { "arena": "models", "category": "dataviz", - "elo": 1175, + "elo": 1172, "win_rate": 53.2, - "rank": 70 + "rank": 69 }, { "arena": "models", "category": "gamedev", - "elo": 1140, + "elo": 1130, "win_rate": 50.2, - "rank": 79 + "rank": 85 }, { "arena": "models", "category": "svg", - "elo": 1136, + "elo": 1128, "win_rate": 56.1, - "rank": 56 + "rank": 60 }, { "arena": "models", "category": "uicomponent", - "elo": 1158, + "elo": 1154, "win_rate": 51.4, - "rank": 79 + "rank": 83 }, { "arena": "models", "category": "website", - "elo": 1189, - "win_rate": 52.5, - "rank": 70 + "elo": 1183, + "win_rate": 52.6, + "rank": 75 } ], "artificial_analysis": { @@ -33808,11 +35401,12 @@ }, "pricing": { "prompt": "0.00000017", - "completion": "0.00000025" + "completion": "0.00000025", + "input_cache_read": "0.000000153" }, "top_provider": { "context_length": 262144, - "max_completion_tokens": 235929, + "max_completion_tokens": 40960, "is_moderated": false }, "per_request_limits": null, @@ -34004,58 +35598,58 @@ { "arena": "models", "category": "3d", - "elo": 1116, + "elo": 1099, "win_rate": 47.7, - "rank": 87 + "rank": 94 }, { "arena": "models", "category": "asciiart", - "elo": 1091, + "elo": 1089, "win_rate": 43.2, "rank": 66 }, { "arena": "models", "category": "codecategories", - "elo": 1165, + "elo": 1156, "win_rate": 48.4, - "rank": 79 + "rank": 85 }, { "arena": "models", "category": "dataviz", - "elo": 1135, + "elo": 1132, "win_rate": 44.8, - "rank": 89 + "rank": 90 }, { "arena": "models", "category": "gamedev", - "elo": 1105, + "elo": 1095, "win_rate": 42.6, - "rank": 96 + "rank": 99 }, { "arena": "models", "category": "svg", - "elo": 1104, + "elo": 1097, "win_rate": 48.9, - "rank": 65 + "rank": 68 }, { "arena": "models", "category": "uicomponent", - "elo": 1172, + "elo": 1168, "win_rate": 52.2, - "rank": 71 + "rank": 74 }, { "arena": "models", "category": "website", - "elo": 1187, + "elo": 1179, "win_rate": 50, - "rank": 72 + "rank": 79 } ] }, @@ -34148,12 +35742,12 @@ "instruct_type": null }, "pricing": { - "prompt": "0.00000045", - "completion": "0.0000027" + "prompt": "0.00000032", + "completion": "0.0000032" }, "top_provider": { "context_length": 262144, - "max_completion_tokens": 65536, + "max_completion_tokens": 81920, "is_moderated": false }, "per_request_limits": null, @@ -34434,58 +36028,58 @@ { "arena": "models", "category": "3d", - "elo": 1199, - "win_rate": 50.5, - "rank": 51 + "elo": 1183, + "win_rate": 50.4, + "rank": 57 }, { "arena": "models", "category": "asciiart", - "elo": 1113, - "win_rate": 41.2, + "elo": 1110, + "win_rate": 40.8, "rank": 60 }, { "arena": "models", "category": "codecategories", - "elo": 1234, - "win_rate": 50, - "rank": 49 + "elo": 1226, + "win_rate": 50.1, + "rank": 54 }, { "arena": "models", "category": "dataviz", - "elo": 1228, - "win_rate": 50.7, - "rank": 48 + "elo": 1224, + "win_rate": 50.5, + "rank": 47 }, { "arena": "models", "category": "gamedev", - "elo": 1211, + "elo": 1202, "win_rate": 48.3, - "rank": 51 + "rank": 55 }, { "arena": "models", "category": "svg", - "elo": 1158, + "elo": 1151, "win_rate": 50.1, - "rank": 46 + "rank": 48 }, { "arena": "models", "category": "uicomponent", - "elo": 1227, + "elo": 1222, "win_rate": 50.3, - "rank": 52 + "rank": 55 }, { "arena": "models", "category": "website", - "elo": 1241, - "win_rate": 49.9, - "rank": 49 + "elo": 1234, + "win_rate": 50.1, + "rank": 55 } ], "artificial_analysis": { @@ -34651,16 +36245,16 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1107, - "win_rate": 45.9, + "elo": 1101, + "win_rate": 45.6, "rank": 20 }, { "arena": "agents", "category": "androidnative", - "elo": 1154, - "win_rate": 48, - "rank": 25 + "elo": 1148, + "win_rate": 47.6, + "rank": 28 }, { "arena": "agents", @@ -34672,114 +36266,114 @@ { "arena": "agents", "category": "fullstack", - "elo": 1184, - "win_rate": 47.6, - "rank": 21 + "elo": 1164, + "win_rate": 47.3, + "rank": 23 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1187, - "win_rate": 55.7, + "elo": 1166, + "win_rate": 55.6, "rank": 16 }, { "arena": "agents", "category": "htmlslides", - "elo": 1055, - "win_rate": 43.4, + "elo": 1053, + "win_rate": 43.5, "rank": 17 }, { "arena": "agents", "category": "mobileapps", - "elo": 1155, - "win_rate": 44.9, - "rank": 30 + "elo": 1149, + "win_rate": 44.6, + "rank": 32 }, { "arena": "agents", "category": "pdf", - "elo": 1142, - "win_rate": 44.3, - "rank": 21 + "elo": 1148, + "win_rate": 46.9, + "rank": 25 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1149, - "win_rate": 47.4, + "elo": 1153, + "win_rate": 46.1, "rank": 20 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1059, - "win_rate": 40.7, - "rank": 24 + "elo": 999, + "win_rate": 40, + "rank": 29 }, { "arena": "agents", "category": "webapps", - "elo": 1192, - "win_rate": 48.6, - "rank": 22 + "elo": 1185, + "win_rate": 48.3, + "rank": 24 }, { "arena": "models", "category": "3d", - "elo": 1263, - "win_rate": 54.3, - "rank": 28 + "elo": 1245, + "win_rate": 53.8, + "rank": 32 }, { "arena": "models", "category": "asciiart", - "elo": 1206, + "elo": 1204, "win_rate": 53, - "rank": 25 + "rank": 24 }, { "arena": "models", "category": "codecategories", - "elo": 1274, - "win_rate": 53.9, - "rank": 29 + "elo": 1265, + "win_rate": 53.8, + "rank": 33 }, { "arena": "models", "category": "dataviz", - "elo": 1276, + "elo": 1273, "win_rate": 53, - "rank": 24 + "rank": 26 }, { "arena": "models", "category": "gamedev", - "elo": 1265, - "win_rate": 52.7, - "rank": 29 + "elo": 1254, + "win_rate": 52.3, + "rank": 34 }, { "arena": "models", "category": "svg", - "elo": 1213, - "win_rate": 55, - "rank": 24 + "elo": 1206, + "win_rate": 54.9, + "rank": 27 }, { "arena": "models", "category": "uicomponent", - "elo": 1265, - "win_rate": 53.2, - "rank": 35 + "elo": 1263, + "win_rate": 53.5, + "rank": 37 }, { "arena": "models", "category": "website", - "elo": 1274, - "win_rate": 54.5, - "rank": 26 + "elo": 1267, + "win_rate": 54.6, + "rank": 31 } ], "artificial_analysis": { @@ -34865,58 +36459,58 @@ { "arena": "models", "category": "3d", - "elo": 1235, - "win_rate": 48.4, - "rank": 40 + "elo": 1219, + "win_rate": 48.1, + "rank": 45 }, { "arena": "models", "category": "asciiart", - "elo": 1138, - "win_rate": 41.3, - "rank": 52 + "elo": 1133, + "win_rate": 41, + "rank": 53 }, { "arena": "models", "category": "codecategories", - "elo": 1267, - "win_rate": 50.1, - "rank": 34 + "elo": 1259, + "win_rate": 50, + "rank": 38 }, { "arena": "models", "category": "dataviz", - "elo": 1277, - "win_rate": 51.1, - "rank": 23 + "elo": 1275, + "win_rate": 51.4, + "rank": 24 }, { "arena": "models", "category": "gamedev", - "elo": 1262, - "win_rate": 49.4, - "rank": 35 + "elo": 1250, + "win_rate": 48.7, + "rank": 40 }, { "arena": "models", "category": "svg", - "elo": 1208, - "win_rate": 47.1, - "rank": 26 + "elo": 1200, + "win_rate": 47, + "rank": 28 }, { "arena": "models", "category": "uicomponent", - "elo": 1259, - "win_rate": 49.1, - "rank": 37 + "elo": 1255, + "win_rate": 49, + "rank": 41 }, { "arena": "models", "category": "website", - "elo": 1266, + "elo": 1261, "win_rate": 50.3, - "rank": 34 + "rank": 35 } ], "artificial_analysis": { @@ -34986,58 +36580,58 @@ { "arena": "models", "category": "3d", - "elo": 1235, - "win_rate": 48.4, - "rank": 40 + "elo": 1219, + "win_rate": 48.1, + "rank": 45 }, { "arena": "models", "category": "asciiart", - "elo": 1138, - "win_rate": 41.3, - "rank": 52 + "elo": 1133, + "win_rate": 41, + "rank": 53 }, { "arena": "models", "category": "codecategories", - "elo": 1267, - "win_rate": 50.1, - "rank": 34 + "elo": 1259, + "win_rate": 50, + "rank": 38 }, { "arena": "models", "category": "dataviz", - "elo": 1277, - "win_rate": 51.1, - "rank": 23 + "elo": 1275, + "win_rate": 51.4, + "rank": 24 }, { "arena": "models", "category": "gamedev", - "elo": 1262, - "win_rate": 49.4, - "rank": 35 + "elo": 1250, + "win_rate": 48.7, + "rank": 40 }, { "arena": "models", "category": "svg", - "elo": 1208, - "win_rate": 47.1, - "rank": 26 + "elo": 1200, + "win_rate": 47, + "rank": 28 }, { "arena": "models", "category": "uicomponent", - "elo": 1259, - "win_rate": 49.1, - "rank": 37 + "elo": 1255, + "win_rate": 49, + "rank": 41 }, { "arena": "models", "category": "website", - "elo": 1266, + "elo": 1261, "win_rate": 50.3, - "rank": 34 + "rank": 35 } ], "artificial_analysis": { @@ -35072,7 +36666,7 @@ "input_cache_read": "0.00000025" }, "top_provider": { - "context_length": 1048576, + "context_length": 1000000, "max_completion_tokens": 131072, "is_moderated": false }, @@ -35210,6 +36804,79 @@ "default_effort": "xhigh" } }, + { + "id": "qwen/qwen3.8-27b:batch", + "canonical_slug": "qwen/qwen3.8-27b-20260814", + "hugging_face_id": "Qwen/Qwen3.8-27B", + "name": "Qwen: Qwen3.8 27B (batch)", + "created": 1786722910, + "description": "Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...", + "context_length": 262144, + "architecture": { + "modality": "text+image+video->text", + "input_modalities": ["text", "image", "video"], + "output_modalities": ["text"], + "tokenizer": "Qwen", + "instruct_type": null + }, + "pricing": { + "prompt": "0.00000016", + "completion": "0.000002", + "input_cache_read": "0.00000004" + }, + "top_provider": { + "context_length": 262144, + "max_completion_tokens": 235929, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "frequency_penalty", + "include_reasoning", + "logit_bias", + "max_tokens", + "min_p", + "presence_penalty", + "reasoning", + "reasoning_effort", + "repetition_penalty", + "response_format", + "seed", + "stop", + "structured_outputs", + "temperature", + "tool_choice", + "tools", + "top_k", + "top_p" + ], + "default_parameters": { + "temperature": 1, + "top_p": 0.95, + "top_k": 20 + }, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/qwen/qwen3.8-27b-20260814/endpoints" + }, + "endpoints": ["/api/v1/batches"], + "benchmarks": { + "design_arena": [], + "artificial_analysis": { + "intelligence_index": 20.1, + "coding_index": 68.1, + "agentic_index": 45.8 + } + }, + "reasoning": { + "mandatory": false, + "default_enabled": true, + "supported_efforts": ["xhigh", "medium", "low", "none"], + "default_effort": "xhigh" + } + }, { "id": "qwen/qwen3.8-flash", "canonical_slug": "qwen/qwen3.8-flash-20260826", @@ -35346,6 +37013,73 @@ "default_effort": "xhigh" } }, + { + "id": "qwen/qwen3.8-max-0902:batch", + "canonical_slug": "qwen/qwen3.8-max-20260902", + "hugging_face_id": null, + "name": "Qwen: Qwen3.8 Max (0902) (batch)", + "created": 1788469704, + "description": "Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text,...", + "context_length": 262144, + "architecture": { + "modality": "text+image+video->text", + "input_modalities": ["text", "image", "video"], + "output_modalities": ["text"], + "tokenizer": "Qwen", + "instruct_type": null + }, + "pricing": { + "prompt": "0.00000115", + "completion": "0.00000345" + }, + "top_provider": { + "context_length": 262144, + "max_completion_tokens": 131072, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "frequency_penalty", + "include_reasoning", + "logprobs", + "max_tokens", + "presence_penalty", + "reasoning", + "reasoning_effort", + "response_format", + "seed", + "stop", + "structured_outputs", + "temperature", + "tool_choice", + "tools", + "top_k", + "top_logprobs", + "top_p" + ], + "default_parameters": {}, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/qwen/qwen3.8-max-20260902/endpoints" + }, + "endpoints": ["/api/v1/batches"], + "benchmarks": { + "design_arena": [], + "artificial_analysis": { + "intelligence_index": 33.7, + "coding_index": 76.2, + "agentic_index": 56 + } + }, + "reasoning": { + "mandatory": true, + "default_enabled": true, + "supported_efforts": ["xhigh", "high", "medium", "low", "minimal"], + "default_effort": "xhigh" + } + }, { "id": "qwen/qwen3.8-max-prime", "canonical_slug": "qwen/qwen3.8-max-prime-20260923", @@ -35592,33 +37326,40 @@ ], "benchmarks": { "design_arena": [ + { + "arena": "models", + "category": "3d", + "elo": 1118, + "win_rate": 32.8, + "rank": 85 + }, { "arena": "models", "category": "codecategories", - "elo": 1226, - "win_rate": 44.3, - "rank": 54 + "elo": 1223, + "win_rate": 43.7, + "rank": 56 }, { "arena": "models", "category": "gamedev", - "elo": 1204, - "win_rate": 41.9, - "rank": 55 + "elo": 1183, + "win_rate": 39.7, + "rank": 64 }, { "arena": "models", "category": "uicomponent", - "elo": 1256, - "win_rate": 49.5, + "elo": 1260, + "win_rate": 49, "rank": 39 }, { "arena": "models", "category": "website", - "elo": 1233, - "win_rate": 45.4, - "rank": 52 + "elo": 1240, + "win_rate": 46.1, + "rank": 50 } ], "artificial_analysis": { @@ -35861,8 +37602,8 @@ { "id": "ricursiveai/ripple-65b-preview", "canonical_slug": "ricursiveai/ripple-65b-preview-20261104", - "hugging_face_id": null, - "name": "ricursiveAI/Ripple-65B-Preview", + "hugging_face_id": "ricursiveAI/Ripple-65B-Preview", + "name": "Ricursive: Ripple 65B Preview", "created": 1793818990, "description": "Ripple-65B-Preview by ricursiveAI, a 65B model with native tool calling, served in BF16.", "context_length": 1048576, @@ -35874,9 +37615,9 @@ "instruct_type": null }, "pricing": { - "prompt": "0.0000002", - "completion": "0.0000006", - "input_cache_read": "0.00000005" + "prompt": "0.0000001", + "completion": "0.0000003", + "input_cache_read": "0.000000025" }, "top_provider": { "context_length": 1048576, @@ -35885,13 +37626,23 @@ }, "per_request_limits": null, "supported_parameters": [ + "frequency_penalty", + "include_reasoning", + "logit_bias", "logprobs", "max_tokens", + "min_p", + "presence_penalty", + "reasoning", + "repetition_penalty", "response_format", "seed", + "stop", + "structured_outputs", "temperature", "tool_choice", "tools", + "top_k", "top_logprobs", "top_p" ], @@ -36364,62 +38115,6 @@ "/api/v1/responses" ] }, - { - "id": "stealth/crouton-alpha", - "canonical_slug": "stealth/crouton-alpha", - "hugging_face_id": null, - "name": "Crouton Alpha", - "created": 1793669930, - "description": "Crouton Alpha is a lightweight model built for scalable coding, agentic, and multimodal workflows. It's ideal for executing agentic sub-tasks, tool use, and document analysis in high-volume, repeated work. Developers...", - "context_length": 1048576, - "architecture": { - "modality": "text+image+file+audio+video->text", - "input_modalities": ["text", "image", "video", "file", "audio"], - "output_modalities": ["text"], - "tokenizer": "Other", - "instruct_type": null - }, - "pricing": { - "prompt": "0", - "completion": "0" - }, - "top_provider": { - "context_length": 1048576, - "max_completion_tokens": 943718, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "include_reasoning", - "max_tokens", - "reasoning", - "reasoning_effort", - "response_format", - "structured_outputs", - "temperature", - "tool_choice", - "tools", - "top_p" - ], - "default_parameters": {}, - "supported_voices": null, - "knowledge_cutoff": null, - "expiration_date": null, - "links": { - "details": "/api/v1/models/stealth/crouton-alpha/endpoints" - }, - "endpoints": [ - "/api/v1/chat/completions", - "/api/v1/completions", - "/api/v1/messages", - "/api/v1/responses" - ], - "reasoning": { - "mandatory": true, - "supported_efforts": ["max", "xhigh", "high", "medium", "low", "minimal"], - "default_effort": "max" - } - }, { "id": "stepfun/step-3.5-flash", "canonical_slug": "stepfun/step-3.5-flash", @@ -36466,7 +38161,7 @@ }, "supported_voices": null, "knowledge_cutoff": null, - "expiration_date": null, + "expiration_date": "2026-11-15", "links": { "details": "/api/v1/models/stepfun/step-3.5-flash/endpoints" }, @@ -36551,58 +38246,58 @@ { "arena": "models", "category": "3d", - "elo": 1126, - "win_rate": 39.9, - "rank": 83 + "elo": 1108, + "win_rate": 39.7, + "rank": 90 }, { "arena": "models", "category": "asciiart", - "elo": 1148, - "win_rate": 44.6, - "rank": 46 + "elo": 1142, + "win_rate": 44.3, + "rank": 48 }, { "arena": "models", "category": "codecategories", - "elo": 1180, - "win_rate": 42, - "rank": 69 + "elo": 1169, + "win_rate": 41.8, + "rank": 74 }, { "arena": "models", "category": "dataviz", - "elo": 1174, - "win_rate": 43, - "rank": 71 + "elo": 1172, + "win_rate": 43.3, + "rank": 70 }, { "arena": "models", "category": "gamedev", - "elo": 1157, - "win_rate": 37.8, - "rank": 74 + "elo": 1143, + "win_rate": 37.1, + "rank": 78 }, { "arena": "models", "category": "svg", - "elo": 1080, - "win_rate": 36.6, - "rank": 70 + "elo": 1074, + "win_rate": 36.5, + "rank": 74 }, { "arena": "models", "category": "uicomponent", - "elo": 1176, - "win_rate": 41.9, - "rank": 69 + "elo": 1167, + "win_rate": 41.4, + "rank": 75 }, { "arena": "models", "category": "website", - "elo": 1195, - "win_rate": 43.9, - "rank": 65 + "elo": 1186, + "win_rate": 43.7, + "rank": 73 } ], "artificial_analysis": { @@ -36624,7 +38319,7 @@ "name": "StepFun: Step 5 Preview", "created": 1791462849, "description": "Step 5 Preview is StepFun's flagship model for agentic work, built on a sparse Mixture-of-Experts architecture (27B active / 600B total parameters). It performs strongly in software engineering and professional...", - "context_length": 1048576, + "context_length": 1000000, "architecture": { "modality": "text+image+video->text", "input_modalities": ["text", "image", "video"], @@ -36737,7 +38432,7 @@ "default_parameters": {}, "supported_voices": null, "knowledge_cutoff": "2025-03-31", - "expiration_date": null, + "expiration_date": "2026-11-15", "links": { "details": "/api/v1/models/tencent/hunyuan-a13b-instruct/endpoints" }, @@ -36978,44 +38673,44 @@ { "arena": "models", "category": "3d", - "elo": 1172, + "elo": 1154, "win_rate": 43.8, - "rank": 61 + "rank": 67 }, { "arena": "models", "category": "codecategories", - "elo": 1175, + "elo": 1166, "win_rate": 41.1, - "rank": 72 + "rank": 76 }, { "arena": "models", "category": "dataviz", - "elo": 1125, + "elo": 1122, "win_rate": 36.1, - "rank": 95 + "rank": 97 }, { "arena": "models", "category": "gamedev", - "elo": 1134, + "elo": 1125, "win_rate": 38.6, - "rank": 84 + "rank": 89 }, { "arena": "models", "category": "uicomponent", - "elo": 1158, + "elo": 1153, "win_rate": 40.2, - "rank": 78 + "rank": 84 }, { "arena": "models", "category": "website", - "elo": 1180, + "elo": 1173, "win_rate": 41.3, - "rank": 76 + "rank": 81 } ] }, @@ -37151,7 +38846,43 @@ "/api/v1/responses" ], "benchmarks": { - "design_arena": [], + "design_arena": [ + { + "arena": "models", + "category": "3d", + "elo": 1252, + "win_rate": 47.8, + "rank": 29 + }, + { + "arena": "models", + "category": "codecategories", + "elo": 1254, + "win_rate": 47.5, + "rank": 41 + }, + { + "arena": "models", + "category": "gamedev", + "elo": 1273, + "win_rate": 49.9, + "rank": 25 + }, + { + "arena": "models", + "category": "uicomponent", + "elo": 1197, + "win_rate": 39.3, + "rank": 65 + }, + { + "arena": "models", + "category": "website", + "elo": 1250, + "win_rate": 47.3, + "rank": 44 + } + ], "artificial_analysis": { "intelligence_index": 34.6, "coding_index": null, @@ -37215,7 +38946,6 @@ "max_completion_tokens", "max_tokens", "min_p", - "parallel_tool_calls", "presence_penalty", "reasoning", "reasoning_effort", @@ -37489,65 +39219,65 @@ { "arena": "agents", "category": "webapps", - "elo": 1180, + "elo": 1172, "win_rate": 48.6, - "rank": 26 + "rank": 29 }, { "arena": "models", "category": "3d", - "elo": 1156, + "elo": 1141, "win_rate": 39.8, - "rank": 67 + "rank": 72 }, { "arena": "models", "category": "asciiart", - "elo": 1092, - "win_rate": 34.1, - "rank": 65 + "elo": 1088, + "win_rate": 34, + "rank": 67 }, { "arena": "models", "category": "codecategories", - "elo": 1204, - "win_rate": 42.3, - "rank": 63 + "elo": 1194, + "win_rate": 41.9, + "rank": 67 }, { "arena": "models", "category": "dataviz", "elo": 1158, - "win_rate": 37.7, - "rank": 80 + "win_rate": 38, + "rank": 78 }, { "arena": "models", "category": "gamedev", - "elo": 1166, - "win_rate": 37.9, - "rank": 72 + "elo": 1152, + "win_rate": 37.4, + "rank": 76 }, { "arena": "models", "category": "svg", - "elo": 1108, - "win_rate": 34.7, - "rank": 63 + "elo": 1101, + "win_rate": 34.5, + "rank": 66 }, { "arena": "models", "category": "uicomponent", - "elo": 1197, - "win_rate": 40.5, - "rank": 61 + "elo": 1189, + "win_rate": 40.1, + "rank": 69 }, { "arena": "models", "category": "website", - "elo": 1223, - "win_rate": 44.6, - "rank": 58 + "elo": 1215, + "win_rate": 44.4, + "rank": 62 } ], "artificial_analysis": { @@ -37563,6 +39293,160 @@ "default_effort": "high" } }, + { + "id": "thinkingmachines/inkling-2-small", + "canonical_slug": "thinkingmachines/inkling-2-small-20261107", + "hugging_face_id": "thinkingmachines/Inkling-2-Small", + "name": "Thinking Machines: Inkling 2 Small", + "created": 1794261847, + "description": "Inkling 2 Small is an open-weight multimodal mixture-of-experts reasoning model from Thinking Machines Lab, with 17B active parameters out of 594B total. It is the first model in the second...", + "context_length": 1048576, + "architecture": { + "modality": "text+image->text", + "input_modalities": ["text", "image"], + "output_modalities": ["text"], + "tokenizer": "Other", + "instruct_type": null + }, + "pricing": { + "prompt": "0.0000003", + "completion": "0.000001", + "input_cache_read": "0.00000003" + }, + "top_provider": { + "context_length": 1048576, + "max_completion_tokens": 943718, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "frequency_penalty", + "include_reasoning", + "logit_bias", + "logprobs", + "max_tokens", + "min_p", + "presence_penalty", + "reasoning", + "reasoning_effort", + "repetition_penalty", + "response_format", + "seed", + "stop", + "structured_outputs", + "temperature", + "tool_choice", + "tools", + "top_k", + "top_logprobs", + "top_p" + ], + "default_parameters": { + "temperature": null, + "top_p": null, + "top_k": null, + "frequency_penalty": null, + "presence_penalty": null, + "repetition_penalty": null + }, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/thinkingmachines/inkling-2-small-20261107/endpoints" + }, + "endpoints": [ + "/api/v1/chat/completions", + "/api/v1/completions", + "/api/v1/messages", + "/api/v1/responses" + ], + "benchmarks": { + "design_arena": [], + "artificial_analysis": { + "intelligence_index": 30.6, + "coding_index": null, + "agentic_index": null + } + }, + "reasoning": { + "mandatory": true, + "default_enabled": true, + "supported_efforts": ["max", "high", "medium", "low", "minimal"], + "default_effort": "high" + } + }, + { + "id": "thinkingmachines/inkling-2-small:free", + "canonical_slug": "thinkingmachines/inkling-2-small-20261107", + "hugging_face_id": "thinkingmachines/Inkling-2-Small", + "name": "Thinking Machines: Inkling 2 Small (free)", + "created": 1794261847, + "description": "Inkling 2 Small is an open-weight multimodal mixture-of-experts reasoning model from Thinking Machines Lab, with 17B active parameters out of 594B total. It is the first model in the second...", + "context_length": 1048576, + "architecture": { + "modality": "text+image->text", + "input_modalities": ["text", "image"], + "output_modalities": ["text"], + "tokenizer": "Other", + "instruct_type": null + }, + "pricing": { + "prompt": "0", + "completion": "0" + }, + "top_provider": { + "context_length": 1048576, + "max_completion_tokens": 131072, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "include_reasoning", + "max_tokens", + "reasoning", + "reasoning_effort", + "seed", + "stop", + "temperature", + "tools", + "top_p" + ], + "default_parameters": { + "temperature": null, + "top_p": null, + "top_k": null, + "frequency_penalty": null, + "presence_penalty": null, + "repetition_penalty": null + }, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/thinkingmachines/inkling-2-small-20261107/endpoints" + }, + "endpoints": [ + "/api/v1/chat/completions", + "/api/v1/completions", + "/api/v1/messages", + "/api/v1/responses" + ], + "benchmarks": { + "design_arena": [], + "artificial_analysis": { + "intelligence_index": 30.6, + "coding_index": null, + "agentic_index": null + } + }, + "reasoning": { + "mandatory": true, + "default_enabled": true, + "supported_efforts": ["max", "high", "medium", "low", "minimal"], + "default_effort": "high" + } + }, { "id": "thinkingmachines/inkling-small", "canonical_slug": "thinkingmachines/inkling-small-20260730", @@ -37642,6 +39526,80 @@ "default_effort": "high" } }, + { + "id": "thinkingmachines/inkling-small:batch", + "canonical_slug": "thinkingmachines/inkling-small-20260730", + "hugging_face_id": "thinkingmachines/Inkling-Small", + "name": "Thinking Machines: Inkling Small (batch)", + "created": 1785443117, + "description": "Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...", + "context_length": 524288, + "architecture": { + "modality": "text+image+audio->text", + "input_modalities": ["text", "image", "audio"], + "output_modalities": ["text"], + "tokenizer": "Other", + "instruct_type": null + }, + "pricing": { + "prompt": "0.00000036", + "completion": "0.00000096", + "input_cache_read": "0.00000008" + }, + "top_provider": { + "context_length": 524288, + "max_completion_tokens": 262144, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "frequency_penalty", + "include_reasoning", + "logit_bias", + "max_tokens", + "min_p", + "presence_penalty", + "reasoning", + "reasoning_effort", + "repetition_penalty", + "seed", + "stop", + "temperature", + "tool_choice", + "tools", + "top_k", + "top_p" + ], + "default_parameters": { + "temperature": null, + "top_p": null, + "top_k": null, + "frequency_penalty": null, + "presence_penalty": null, + "repetition_penalty": null + }, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/thinkingmachines/inkling-small-20260730/endpoints" + }, + "endpoints": ["/api/v1/batches"], + "benchmarks": { + "design_arena": [], + "artificial_analysis": { + "intelligence_index": 12.9, + "coding_index": 52.9, + "agentic_index": 23.5 + } + }, + "reasoning": { + "mandatory": false, + "default_enabled": true, + "supported_efforts": ["max", "high", "medium", "low", "minimal", "none"], + "default_effort": "high" + } + }, { "id": "unbiased/pareto-26.10", "canonical_slug": "unbiased/pareto-26.10-20261015", @@ -37689,6 +39647,54 @@ "/api/v1/responses" ] }, + { + "id": "unbiased/pareto-26.10-preview", + "canonical_slug": "unbiased/pareto-26.10-preview-20260929", + "hugging_face_id": null, + "name": "Pareto 26.10 Preview", + "created": 1790863623, + "description": "Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks. This is a preview of the...", + "context_length": 1048576, + "architecture": { + "modality": "text+image->text", + "input_modalities": ["text", "image"], + "output_modalities": ["text"], + "tokenizer": "Other", + "instruct_type": null + }, + "pricing": { + "prompt": "0.0000008", + "completion": "0.0000032", + "input_cache_read": "0.00000003" + }, + "top_provider": { + "context_length": 1048576, + "max_completion_tokens": 131072, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "response_format", + "temperature", + "tool_choice", + "tools", + "top_p" + ], + "default_parameters": {}, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/unbiased/pareto-26.10-preview-20260929/endpoints" + }, + "endpoints": [ + "/api/v1/chat/completions", + "/api/v1/completions", + "/api/v1/messages", + "/api/v1/responses" + ] + }, { "id": "unbiased/pareto-26.9", "canonical_slug": "unbiased/pareto-26.9-20260917", @@ -37753,8 +39759,9 @@ "instruct_type": "alpaca" }, "pricing": { - "prompt": "0.00000035", - "completion": "0.00000065" + "prompt": "0.0000003", + "completion": "0.0000005", + "input_cache_read": "0.0000002" }, "top_provider": { "context_length": 6144, @@ -37853,37 +39860,44 @@ { "arena": "models", "category": "3d", - "elo": 1082, - "win_rate": 23.1, - "rank": 94 + "elo": 1084, + "win_rate": 24.5, + "rank": 96 }, { "arena": "models", "category": "codecategories", - "elo": 1136, - "win_rate": 30.7, - "rank": 97 + "elo": 1127, + "win_rate": 30.1, + "rank": 102 + }, + { + "arena": "models", + "category": "dataviz", + "elo": 1135, + "win_rate": 33.6, + "rank": 88 }, { "arena": "models", "category": "gamedev", - "elo": 1114, - "win_rate": 28.8, - "rank": 92 + "elo": 1096, + "win_rate": 27.8, + "rank": 98 }, { "arena": "models", "category": "uicomponent", - "elo": 1089, - "win_rate": 26.8, - "rank": 102 + "elo": 1082, + "win_rate": 26.3, + "rank": 108 }, { "arena": "models", "category": "website", - "elo": 1148, - "win_rate": 32.7, - "rank": 94 + "elo": 1144, + "win_rate": 32.5, + "rank": 98 } ] }, @@ -37931,16 +39945,20 @@ "supported_parameters": [ "frequency_penalty", "include_reasoning", + "logprobs", "max_tokens", "parallel_tool_calls", "presence_penalty", "reasoning", "reasoning_effort", + "repetition_penalty", "response_format", "structured_outputs", "temperature", "tool_choice", "tools", + "top_k", + "top_logprobs", "top_p" ], "default_parameters": {}, @@ -37961,51 +39979,51 @@ { "arena": "agents", "category": "webapps", - "elo": 1089, + "elo": 1081, "win_rate": 30, - "rank": 39 + "rank": 41 }, { "arena": "models", "category": "3d", - "elo": 1175, - "win_rate": 46.4, - "rank": 59 + "elo": 1159, + "win_rate": 46.8, + "rank": 66 }, { "arena": "models", "category": "codecategories", - "elo": 1180, - "win_rate": 39, - "rank": 68 + "elo": 1170, + "win_rate": 38.8, + "rank": 72 }, { "arena": "models", "category": "dataviz", - "elo": 1177, + "elo": 1174, "win_rate": 41.3, - "rank": 69 + "rank": 68 }, { "arena": "models", "category": "gamedev", - "elo": 1170, - "win_rate": 39.9, + "elo": 1168, + "win_rate": 40.9, "rank": 69 }, { "arena": "models", "category": "uicomponent", - "elo": 1145, + "elo": 1140, "win_rate": 35.5, - "rank": 81 + "rank": 86 }, { "arena": "models", "category": "website", - "elo": 1176, - "win_rate": 37.5, - "rank": 78 + "elo": 1163, + "win_rate": 36.8, + "rank": 86 } ], "artificial_analysis": { @@ -38153,23 +40171,23 @@ { "arena": "agents", "category": "androidnative", - "elo": 1043, + "elo": 1037, "win_rate": 35, - "rank": 38 + "rank": 39 }, { "arena": "agents", "category": "fullstack", - "elo": 1047, + "elo": 1026, "win_rate": 41.1, - "rank": 35 + "rank": 37 }, { "arena": "agents", "category": "godotgamedev", "elo": 1089, "win_rate": 38.5, - "rank": 31 + "rank": 29 }, { "arena": "agents", @@ -38181,72 +40199,72 @@ { "arena": "agents", "category": "mobileapps", - "elo": 1088, + "elo": 1082, "win_rate": 45.4, - "rank": 45 + "rank": 47 }, { "arena": "agents", "category": "webapps", - "elo": 1128, + "elo": 1121, "win_rate": 49.7, - "rank": 32 + "rank": 34 }, { "arena": "models", "category": "3d", - "elo": 1190, - "win_rate": 52.1, - "rank": 55 + "elo": 1173, + "win_rate": 52.3, + "rank": 60 }, { "arena": "models", "category": "asciiart", - "elo": 1172, - "win_rate": 48.2, + "elo": 1170, + "win_rate": 48.3, "rank": 33 }, { "arena": "models", "category": "codecategories", - "elo": 1219, - "win_rate": 51.8, - "rank": 57 + "elo": 1210, + "win_rate": 52, + "rank": 61 }, { "arena": "models", "category": "dataviz", - "elo": 1217, + "elo": 1214, "win_rate": 52, "rank": 54 }, { "arena": "models", "category": "gamedev", - "elo": 1191, - "win_rate": 50.1, - "rank": 61 + "elo": 1182, + "win_rate": 50.4, + "rank": 65 }, { "arena": "models", "category": "svg", - "elo": 1161, + "elo": 1153, "win_rate": 52.4, - "rank": 44 + "rank": 47 }, { "arena": "models", "category": "uicomponent", - "elo": 1194, - "win_rate": 49, - "rank": 65 + "elo": 1191, + "win_rate": 49.4, + "rank": 67 }, { "arena": "models", "category": "website", - "elo": 1228, - "win_rate": 51.8, - "rank": 56 + "elo": 1221, + "win_rate": 52.1, + "rank": 60 } ] }, @@ -38405,8 +40423,8 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 955, - "win_rate": 28.8, + "elo": 951, + "win_rate": 28.7, "rank": 25 }, { @@ -38440,9 +40458,9 @@ { "arena": "agents", "category": "androidnative", - "elo": 962, - "win_rate": 22.9, - "rank": 40 + "elo": 956, + "win_rate": 23, + "rank": 43 }, { "arena": "agents", @@ -38454,44 +40472,44 @@ { "arena": "agents", "category": "codetovideo", - "elo": 937, - "win_rate": 20, - "rank": 17 + "elo": 888, + "win_rate": 18.2, + "rank": 23 }, { "arena": "agents", "category": "fullstack", - "elo": 1001, + "elo": 980, "win_rate": 28, - "rank": 41 + "rank": 43 }, { "arena": "agents", "category": "godotgamedev", - "elo": 925, - "win_rate": 21.9, + "elo": 917, + "win_rate": 23.5, "rank": 36 }, { "arena": "agents", "category": "htmlslides", - "elo": 905, - "win_rate": 28.6, + "elo": 903, + "win_rate": 28.5, "rank": 25 }, { "arena": "agents", "category": "mobileapps", - "elo": 1057, - "win_rate": 33.2, - "rank": 47 + "elo": 1050, + "win_rate": 32.9, + "rank": 49 }, { "arena": "agents", "category": "pdf", "elo": 935, - "win_rate": 20.4, - "rank": 26 + "win_rate": 19.9, + "rank": 31 }, { "arena": "agents", @@ -38505,77 +40523,77 @@ "category": "python-pptxslides", "elo": 1072, "win_rate": 30.8, - "rank": 28 + "rank": 27 }, { "arena": "agents", "category": "spreadsheet", - "elo": 957, - "win_rate": 30.6, - "rank": 29 + "elo": 930, + "win_rate": 29.6, + "rank": 33 }, { "arena": "agents", "category": "webapps", - "elo": 1109, - "win_rate": 42.6, - "rank": 36 + "elo": 1102, + "win_rate": 42.5, + "rank": 37 }, { "arena": "models", "category": "3d", - "elo": 1121, + "elo": 1104, "win_rate": 40.7, - "rank": 84 + "rank": 91 }, { "arena": "models", "category": "asciiart", - "elo": 1123, - "win_rate": 42.4, + "elo": 1121, + "win_rate": 42.2, "rank": 56 }, { "arena": "models", "category": "codecategories", - "elo": 1185, + "elo": 1175, "win_rate": 43.5, - "rank": 66 + "rank": 70 }, { "arena": "models", "category": "dataviz", - "elo": 1180, - "win_rate": 45.1, + "elo": 1176, + "win_rate": 45, "rank": 67 }, { "arena": "models", "category": "gamedev", - "elo": 1171, + "elo": 1161, "win_rate": 42.6, - "rank": 67 + "rank": 72 }, { "arena": "models", "category": "svg", - "elo": 1079, - "win_rate": 36.9, - "rank": 71 + "elo": 1071, + "win_rate": 36.7, + "rank": 75 }, { "arena": "models", "category": "uicomponent", - "elo": 1189, - "win_rate": 44.8, - "rank": 66 + "elo": 1185, + "win_rate": 45.1, + "rank": 70 }, { "arena": "models", "category": "website", - "elo": 1194, + "elo": 1186, "win_rate": 44, - "rank": 67 + "rank": 72 } ], "artificial_analysis": { @@ -38661,8 +40679,8 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 955, - "win_rate": 28.8, + "elo": 951, + "win_rate": 28.7, "rank": 25 }, { @@ -38696,9 +40714,9 @@ { "arena": "agents", "category": "androidnative", - "elo": 962, - "win_rate": 22.9, - "rank": 40 + "elo": 956, + "win_rate": 23, + "rank": 43 }, { "arena": "agents", @@ -38710,44 +40728,44 @@ { "arena": "agents", "category": "codetovideo", - "elo": 937, - "win_rate": 20, - "rank": 17 + "elo": 888, + "win_rate": 18.2, + "rank": 23 }, { "arena": "agents", "category": "fullstack", - "elo": 1001, + "elo": 980, "win_rate": 28, - "rank": 41 + "rank": 43 }, { "arena": "agents", "category": "godotgamedev", - "elo": 925, - "win_rate": 21.9, + "elo": 917, + "win_rate": 23.5, "rank": 36 }, { "arena": "agents", "category": "htmlslides", - "elo": 905, - "win_rate": 28.6, + "elo": 903, + "win_rate": 28.5, "rank": 25 }, { "arena": "agents", "category": "mobileapps", - "elo": 1057, - "win_rate": 33.2, - "rank": 47 + "elo": 1050, + "win_rate": 32.9, + "rank": 49 }, { "arena": "agents", "category": "pdf", "elo": 935, - "win_rate": 20.4, - "rank": 26 + "win_rate": 19.9, + "rank": 31 }, { "arena": "agents", @@ -38761,77 +40779,77 @@ "category": "python-pptxslides", "elo": 1072, "win_rate": 30.8, - "rank": 28 + "rank": 27 }, { "arena": "agents", "category": "spreadsheet", - "elo": 957, - "win_rate": 30.6, - "rank": 29 + "elo": 930, + "win_rate": 29.6, + "rank": 33 }, { "arena": "agents", "category": "webapps", - "elo": 1109, - "win_rate": 42.6, - "rank": 36 + "elo": 1102, + "win_rate": 42.5, + "rank": 37 }, { "arena": "models", "category": "3d", - "elo": 1121, + "elo": 1104, "win_rate": 40.7, - "rank": 84 + "rank": 91 }, { "arena": "models", "category": "asciiart", - "elo": 1123, - "win_rate": 42.4, + "elo": 1121, + "win_rate": 42.2, "rank": 56 }, { "arena": "models", "category": "codecategories", - "elo": 1185, + "elo": 1175, "win_rate": 43.5, - "rank": 66 + "rank": 70 }, { "arena": "models", "category": "dataviz", - "elo": 1180, - "win_rate": 45.1, + "elo": 1176, + "win_rate": 45, "rank": 67 }, { "arena": "models", "category": "gamedev", - "elo": 1171, + "elo": 1161, "win_rate": 42.6, - "rank": 67 + "rank": 72 }, { "arena": "models", "category": "svg", - "elo": 1079, - "win_rate": 36.9, - "rank": 71 + "elo": 1071, + "win_rate": 36.7, + "rank": 75 }, { "arena": "models", "category": "uicomponent", - "elo": 1189, - "win_rate": 44.8, - "rank": 66 + "elo": 1185, + "win_rate": 45.1, + "rank": 70 }, { "arena": "models", "category": "website", - "elo": 1194, + "elo": 1186, "win_rate": 44, - "rank": 67 + "rank": 72 } ], "artificial_analysis": { @@ -38915,16 +40933,16 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1182, + "elo": 1179, "win_rate": 55.8, "rank": 6 }, { "arena": "agents", "category": "androidnative", - "elo": 1233, - "win_rate": 63.4, - "rank": 9 + "elo": 1228, + "win_rate": 63.1, + "rank": 10 }, { "arena": "agents", @@ -38936,121 +40954,121 @@ { "arena": "agents", "category": "codetovideo", - "elo": 1168, - "win_rate": 48.9, - "rank": 10 + "elo": 1110, + "win_rate": 44.2, + "rank": 16 }, { "arena": "agents", "category": "fullstack", - "elo": 1242, - "win_rate": 60.6, - "rank": 10 + "elo": 1220, + "win_rate": 60, + "rank": 13 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1229, - "win_rate": 58.2, - "rank": 11 + "elo": 1206, + "win_rate": 57.9, + "rank": 12 }, { "arena": "agents", "category": "htmlslides", - "elo": 1101, - "win_rate": 52.5, + "elo": 1099, + "win_rate": 52.6, "rank": 10 }, { "arena": "agents", "category": "mobileapps", - "elo": 1215, - "win_rate": 51.9, - "rank": 16 + "elo": 1207, + "win_rate": 51.3, + "rank": 18 }, { "arena": "agents", "category": "pdf", - "elo": 1167, - "win_rate": 47.1, - "rank": 17 + "elo": 1128, + "win_rate": 43.6, + "rank": 28 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1187, - "win_rate": 54.2, + "elo": 1198, + "win_rate": 53, "rank": 13 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1129, - "win_rate": 50, - "rank": 16 + "elo": 1041, + "win_rate": 41.3, + "rank": 22 }, { "arena": "agents", "category": "webapps", - "elo": 1202, - "win_rate": 53.1, - "rank": 20 + "elo": 1194, + "win_rate": 53, + "rank": 22 }, { "arena": "models", "category": "3d", - "elo": 1254, - "win_rate": 50.2, - "rank": 32 + "elo": 1235, + "win_rate": 49.7, + "rank": 37 }, { "arena": "models", "category": "asciiart", - "elo": 1256, - "win_rate": 54, - "rank": 16 + "elo": 1248, + "win_rate": 52.6, + "rank": 18 }, { "arena": "models", "category": "codecategories", - "elo": 1274, - "win_rate": 50.9, - "rank": 30 + "elo": 1264, + "win_rate": 50.6, + "rank": 34 }, { "arena": "models", "category": "dataviz", - "elo": 1267, + "elo": 1264, "win_rate": 49.8, "rank": 28 }, { "arena": "models", "category": "gamedev", - "elo": 1263, - "win_rate": 49.3, - "rank": 33 + "elo": 1251, + "win_rate": 48.5, + "rank": 39 }, { "arena": "models", "category": "svg", - "elo": 1207, + "elo": 1200, "win_rate": 47.5, - "rank": 27 + "rank": 29 }, { "arena": "models", "category": "uicomponent", - "elo": 1275, - "win_rate": 51.5, - "rank": 29 + "elo": 1269, + "win_rate": 51.1, + "rank": 34 }, { "arena": "models", "category": "website", - "elo": 1279, + "elo": 1273, "win_rate": 52.4, - "rank": 25 + "rank": 28 } ], "artificial_analysis": { @@ -39136,142 +41154,142 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1158, - "win_rate": 47, - "rank": 9 + "elo": 1153, + "win_rate": 47.2, + "rank": 10 }, { "arena": "agents", "category": "androidnative", - "elo": 1294, - "win_rate": 62, - "rank": 1 + "elo": 1281, + "win_rate": 60.9, + "rank": 3 }, { "arena": "agents", "category": "blender3d", - "elo": 1150, - "win_rate": 49.2, + "elo": 1146, + "win_rate": 43.4, "rank": 10 }, { "arena": "agents", "category": "codetovideo", - "elo": 1151, - "win_rate": 46, + "elo": 1136, + "win_rate": 47.6, "rank": 14 }, { "arena": "agents", "category": "fullstack", - "elo": 1257, - "win_rate": 54.9, - "rank": 8 + "elo": 1235, + "win_rate": 54.7, + "rank": 10 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1276, - "win_rate": 52.8, + "elo": 1255, + "win_rate": 53.1, "rank": 4 }, { "arena": "agents", "category": "htmlslides", "elo": 1146, - "win_rate": 60.1, + "win_rate": 60.6, "rank": 6 }, { "arena": "agents", "category": "mobileapps", - "elo": 1232, - "win_rate": 55.3, - "rank": 11 + "elo": 1225, + "win_rate": 55, + "rank": 14 }, { "arena": "agents", "category": "pdf", - "elo": 1256, - "win_rate": 60.2, - "rank": 7 + "elo": 1233, + "win_rate": 58.4, + "rank": 11 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1197, - "win_rate": 52.9, + "elo": 1213, + "win_rate": 52.2, "rank": 11 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1153, - "win_rate": 55, - "rank": 13 + "elo": 1262, + "win_rate": 47.5, + "rank": 9 }, { "arena": "agents", "category": "webapps", - "elo": 1233, - "win_rate": 55.7, - "rank": 13 + "elo": 1225, + "win_rate": 55, + "rank": 15 }, { "arena": "models", "category": "3d", - "elo": 1273, - "win_rate": 52.4, - "rank": 23 + "elo": 1254, + "win_rate": 51.8, + "rank": 27 }, { "arena": "models", "category": "asciiart", - "elo": 1271, - "win_rate": 57, - "rank": 13 + "elo": 1265, + "win_rate": 56.6, + "rank": 14 }, { "arena": "models", "category": "codecategories", - "elo": 1290, - "win_rate": 52.5, - "rank": 20 + "elo": 1280, + "win_rate": 51.9, + "rank": 23 }, { "arena": "models", "category": "dataviz", - "elo": 1283, - "win_rate": 51.4, - "rank": 20 + "elo": 1282, + "win_rate": 51.5, + "rank": 17 }, { "arena": "models", "category": "gamedev", - "elo": 1295, - "win_rate": 54, - "rank": 20 + "elo": 1281, + "win_rate": 53, + "rank": 24 }, { "arena": "models", "category": "svg", - "elo": 1233, - "win_rate": 48.6, - "rank": 18 + "elo": 1220, + "win_rate": 47.6, + "rank": 24 }, { "arena": "models", "category": "uicomponent", - "elo": 1290, - "win_rate": 53.1, - "rank": 24 + "elo": 1284, + "win_rate": 52.6, + "rank": 26 }, { "arena": "models", "category": "website", - "elo": 1287, - "win_rate": 52.2, - "rank": 22 + "elo": 1277, + "win_rate": 51.4, + "rank": 27 } ], "artificial_analysis": { @@ -39350,142 +41368,142 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1158, - "win_rate": 47, - "rank": 9 + "elo": 1153, + "win_rate": 47.2, + "rank": 10 }, { "arena": "agents", "category": "androidnative", - "elo": 1294, - "win_rate": 62, - "rank": 1 + "elo": 1281, + "win_rate": 60.9, + "rank": 3 }, { "arena": "agents", "category": "blender3d", - "elo": 1150, - "win_rate": 49.2, + "elo": 1146, + "win_rate": 43.4, "rank": 10 }, { "arena": "agents", "category": "codetovideo", - "elo": 1151, - "win_rate": 46, + "elo": 1136, + "win_rate": 47.6, "rank": 14 }, { "arena": "agents", "category": "fullstack", - "elo": 1257, - "win_rate": 54.9, - "rank": 8 + "elo": 1235, + "win_rate": 54.7, + "rank": 10 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1276, - "win_rate": 52.8, + "elo": 1255, + "win_rate": 53.1, "rank": 4 }, { "arena": "agents", "category": "htmlslides", "elo": 1146, - "win_rate": 60.1, + "win_rate": 60.6, "rank": 6 }, { "arena": "agents", "category": "mobileapps", - "elo": 1232, - "win_rate": 55.3, - "rank": 11 + "elo": 1225, + "win_rate": 55, + "rank": 14 }, { "arena": "agents", "category": "pdf", - "elo": 1256, - "win_rate": 60.2, - "rank": 7 + "elo": 1233, + "win_rate": 58.4, + "rank": 11 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1197, - "win_rate": 52.9, + "elo": 1213, + "win_rate": 52.2, "rank": 11 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1153, - "win_rate": 55, - "rank": 13 + "elo": 1262, + "win_rate": 47.5, + "rank": 9 }, { "arena": "agents", "category": "webapps", - "elo": 1233, - "win_rate": 55.7, - "rank": 13 + "elo": 1225, + "win_rate": 55, + "rank": 15 }, { "arena": "models", "category": "3d", - "elo": 1273, - "win_rate": 52.4, - "rank": 23 + "elo": 1254, + "win_rate": 51.8, + "rank": 27 }, { "arena": "models", "category": "asciiart", - "elo": 1271, - "win_rate": 57, - "rank": 13 + "elo": 1265, + "win_rate": 56.6, + "rank": 14 }, { "arena": "models", "category": "codecategories", - "elo": 1290, - "win_rate": 52.5, - "rank": 20 + "elo": 1280, + "win_rate": 51.9, + "rank": 23 }, { "arena": "models", "category": "dataviz", - "elo": 1283, - "win_rate": 51.4, - "rank": 20 + "elo": 1282, + "win_rate": 51.5, + "rank": 17 }, { "arena": "models", "category": "gamedev", - "elo": 1295, - "win_rate": 54, - "rank": 20 + "elo": 1281, + "win_rate": 53, + "rank": 24 }, { "arena": "models", "category": "svg", - "elo": 1233, - "win_rate": 48.6, - "rank": 18 + "elo": 1220, + "win_rate": 47.6, + "rank": 24 }, { "arena": "models", "category": "uicomponent", - "elo": 1290, - "win_rate": 53.1, - "rank": 24 + "elo": 1284, + "win_rate": 52.6, + "rank": 26 }, { "arena": "models", "category": "website", - "elo": 1287, - "win_rate": 52.2, - "rank": 22 + "elo": 1277, + "win_rate": 51.4, + "rank": 27 } ], "artificial_analysis": { @@ -39576,63 +41594,84 @@ "category": "blender3d", "elo": 1163, "win_rate": 60, - "rank": 9 + "rank": 7 + }, + { + "arena": "agents", + "category": "codetovideo", + "elo": 1094, + "win_rate": 41.3, + "rank": 20 }, { "arena": "agents", "category": "mobileapps", - "elo": 1262, - "win_rate": 56.1, - "rank": 7 + "elo": 1244, + "win_rate": 53.5, + "rank": 10 }, { "arena": "agents", "category": "pdf", - "elo": 1184, - "win_rate": 48.8, - "rank": 15 + "elo": 1185, + "win_rate": 50.3, + "rank": 18 + }, + { + "arena": "agents", + "category": "spreadsheet", + "elo": 1425, + "win_rate": 74.7, + "rank": 2 }, { "arena": "models", "category": "3d", - "elo": 1264, - "win_rate": 47.7, - "rank": 26 + "elo": 1253, + "win_rate": 47.4, + "rank": 28 }, { "arena": "models", "category": "codecategories", - "elo": 1272, - "win_rate": 47.9, - "rank": 31 + "elo": 1265, + "win_rate": 47.4, + "rank": 32 }, { "arena": "models", "category": "dataviz", - "elo": 1242, - "win_rate": 46.5, - "rank": 39 + "elo": 1222, + "win_rate": 44.5, + "rank": 48 }, { "arena": "models", "category": "gamedev", - "elo": 1316, - "win_rate": 51.6, - "rank": 14 + "elo": 1306, + "win_rate": 50.5, + "rank": 19 + }, + { + "arena": "models", + "category": "svg", + "elo": 1270, + "win_rate": 50.4, + "rank": 17 }, { "arena": "models", "category": "uicomponent", - "elo": 1265, - "win_rate": 48, - "rank": 34 + "elo": 1276, + "win_rate": 49.4, + "rank": 30 }, { "arena": "models", "category": "website", - "elo": 1248, - "win_rate": 45.9, - "rank": 44 + "elo": 1243, + "win_rate": 45.5, + "rank": 48 } ], "artificial_analysis": { @@ -39716,63 +41755,84 @@ "category": "blender3d", "elo": 1163, "win_rate": 60, - "rank": 9 + "rank": 7 + }, + { + "arena": "agents", + "category": "codetovideo", + "elo": 1094, + "win_rate": 41.3, + "rank": 20 }, { "arena": "agents", "category": "mobileapps", - "elo": 1262, - "win_rate": 56.1, - "rank": 7 + "elo": 1244, + "win_rate": 53.5, + "rank": 10 }, { "arena": "agents", "category": "pdf", - "elo": 1184, - "win_rate": 48.8, - "rank": 15 + "elo": 1185, + "win_rate": 50.3, + "rank": 18 + }, + { + "arena": "agents", + "category": "spreadsheet", + "elo": 1425, + "win_rate": 74.7, + "rank": 2 }, { "arena": "models", "category": "3d", - "elo": 1264, - "win_rate": 47.7, - "rank": 26 + "elo": 1253, + "win_rate": 47.4, + "rank": 28 }, { "arena": "models", "category": "codecategories", - "elo": 1272, - "win_rate": 47.9, - "rank": 31 + "elo": 1265, + "win_rate": 47.4, + "rank": 32 }, { "arena": "models", "category": "dataviz", - "elo": 1242, - "win_rate": 46.5, - "rank": 39 + "elo": 1222, + "win_rate": 44.5, + "rank": 48 }, { "arena": "models", "category": "gamedev", - "elo": 1316, - "win_rate": 51.6, - "rank": 14 + "elo": 1306, + "win_rate": 50.5, + "rank": 19 + }, + { + "arena": "models", + "category": "svg", + "elo": 1270, + "win_rate": 50.4, + "rank": 17 }, { "arena": "models", "category": "uicomponent", - "elo": 1265, - "win_rate": 48, - "rank": 34 + "elo": 1276, + "win_rate": 49.4, + "rank": 30 }, { "arena": "models", "category": "website", - "elo": 1248, - "win_rate": 45.9, - "rank": 44 + "elo": 1243, + "win_rate": 45.5, + "rank": 48 } ], "artificial_analysis": { @@ -39935,58 +41995,58 @@ { "arena": "models", "category": "3d", - "elo": 1213, - "win_rate": 50.8, - "rank": 45 + "elo": 1197, + "win_rate": 50.9, + "rank": 50 }, { "arena": "models", "category": "asciiart", - "elo": 1140, - "win_rate": 45.2, - "rank": 49 + "elo": 1139, + "win_rate": 45.1, + "rank": 50 }, { "arena": "models", "category": "codecategories", - "elo": 1259, - "win_rate": 53.5, - "rank": 38 + "elo": 1252, + "win_rate": 53.7, + "rank": 43 }, { "arena": "models", "category": "dataviz", - "elo": 1251, - "win_rate": 53.7, - "rank": 36 + "elo": 1249, + "win_rate": 53.9, + "rank": 35 }, { "arena": "models", "category": "gamedev", - "elo": 1251, - "win_rate": 52.5, - "rank": 38 + "elo": 1242, + "win_rate": 52.6, + "rank": 42 }, { "arena": "models", "category": "svg", - "elo": 1180, - "win_rate": 50.2, - "rank": 38 + "elo": 1175, + "win_rate": 50.4, + "rank": 40 }, { "arena": "models", "category": "uicomponent", - "elo": 1253, - "win_rate": 53.6, - "rank": 43 + "elo": 1249, + "win_rate": 53.7, + "rank": 45 }, { "arena": "models", "category": "website", - "elo": 1265, - "win_rate": 53.6, - "rank": 35 + "elo": 1260, + "win_rate": 53.8, + "rank": 37 } ], "artificial_analysis": { @@ -40006,7 +42066,7 @@ "name": "Xiaomi: MiMo-V2.5-Pro", "created": 1776874273, "description": "MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro....", - "context_length": 1050000, + "context_length": 1024000, "architecture": { "modality": "text->text", "input_modalities": ["text"], @@ -40015,13 +42075,13 @@ "instruct_type": null }, "pricing": { - "prompt": "0.00000048", - "completion": "0.0000018", - "input_cache_read": "0.000000096" + "prompt": "0.000000435", + "completion": "0.00000087", + "input_cache_read": "0.0000000036" }, "top_provider": { - "context_length": 262144, - "max_completion_tokens": 235929, + "context_length": 1024000, + "max_completion_tokens": 131072, "is_moderated": false }, "per_request_limits": null, @@ -40031,7 +42091,6 @@ "max_tokens", "reasoning", "response_format", - "seed", "structured_outputs", "temperature", "tool_choice", @@ -40064,58 +42123,58 @@ { "arena": "models", "category": "3d", - "elo": 1243, - "win_rate": 53.7, - "rank": 37 + "elo": 1232, + "win_rate": 54, + "rank": 39 }, { "arena": "models", "category": "asciiart", - "elo": 1159, - "win_rate": 46.8, - "rank": 40 + "elo": 1151, + "win_rate": 46.6, + "rank": 42 }, { "arena": "models", "category": "codecategories", - "elo": 1266, - "win_rate": 51.7, - "rank": 35 + "elo": 1261, + "win_rate": 52.2, + "rank": 36 }, { "arena": "models", "category": "dataviz", - "elo": 1258, - "win_rate": 50.6, - "rank": 34 + "elo": 1257, + "win_rate": 51, + "rank": 33 }, { "arena": "models", "category": "gamedev", - "elo": 1268, - "win_rate": 53.6, - "rank": 27 + "elo": 1264, + "win_rate": 54, + "rank": 30 }, { "arena": "models", "category": "svg", - "elo": 1186, - "win_rate": 48.5, - "rank": 35 + "elo": 1184, + "win_rate": 48.9, + "rank": 36 }, { "arena": "models", "category": "uicomponent", - "elo": 1245, - "win_rate": 50.8, - "rank": 44 + "elo": 1243, + "win_rate": 51, + "rank": 47 }, { "arena": "models", "category": "website", - "elo": 1266, - "win_rate": 50.8, - "rank": 33 + "elo": 1262, + "win_rate": 51.3, + "rank": 34 } ], "artificial_analysis": { @@ -40274,58 +42333,58 @@ { "arena": "agents", "category": "webapps", - "elo": 1275, - "win_rate": 58.3, - "rank": 8 + "elo": 1268, + "win_rate": 58.2, + "rank": 11 }, { "arena": "models", "category": "3d", - "elo": 1333, - "win_rate": 57.6, - "rank": 15 + "elo": 1320, + "win_rate": 57.7, + "rank": 17 }, { "arena": "models", "category": "codecategories", - "elo": 1315, - "win_rate": 52.6, - "rank": 11 + "elo": 1316, + "win_rate": 53.5, + "rank": 14 }, { "arena": "models", "category": "dataviz", - "elo": 1337, - "win_rate": 58.6, + "elo": 1336, + "win_rate": 58.8, "rank": 7 }, { "arena": "models", "category": "gamedev", - "elo": 1315, - "win_rate": 53.1, - "rank": 15 + "elo": 1312, + "win_rate": 53.5, + "rank": 17 }, { "arena": "models", "category": "svg", - "elo": 1306, - "win_rate": 55.5, - "rank": 6 + "elo": 1291, + "win_rate": 54.3, + "rank": 11 }, { "arena": "models", "category": "uicomponent", - "elo": 1336, - "win_rate": 58.2, - "rank": 9 + "elo": 1332, + "win_rate": 58.3, + "rank": 14 }, { "arena": "models", "category": "website", - "elo": 1307, - "win_rate": 50.8, - "rank": 12 + "elo": 1311, + "win_rate": 51.8, + "rank": 11 } ], "artificial_analysis": { @@ -40399,71 +42458,6 @@ "mandatory": false } }, - { - "id": "xingchen-agi/xing4.0-29b-a4b:free", - "canonical_slug": "xingchen-agi/xing4.0-29b-a4b-20261015", - "hugging_face_id": "XingChen-AGI/Xing4.0-29B-A4B", - "name": "XingChen: Xing4.0 29B A4B (free)", - "created": 1792177496, - "description": "Xing4.0-29B-A4B is an open-weight mixture-of-experts language model from China Telecom's AI team (TeleAI) and the successor to the TeleChat series. It has 29B total parameters with 4B active per token...", - "context_length": 262144, - "architecture": { - "modality": "text->text", - "input_modalities": ["text"], - "output_modalities": ["text"], - "tokenizer": "Other", - "instruct_type": null - }, - "pricing": { - "prompt": "0", - "completion": "0" - }, - "top_provider": { - "context_length": 262144, - "max_completion_tokens": 235929, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "frequency_penalty", - "include_reasoning", - "max_tokens", - "min_p", - "presence_penalty", - "reasoning", - "repetition_penalty", - "response_format", - "seed", - "stop", - "structured_outputs", - "temperature", - "tool_choice", - "tools", - "top_k", - "top_p" - ], - "default_parameters": { - "temperature": 1, - "top_p": 0.95, - "repetition_penalty": 1.05 - }, - "supported_voices": null, - "knowledge_cutoff": null, - "expiration_date": null, - "links": { - "details": "/api/v1/models/xingchen-agi/xing4.0-29b-a4b-20261015/endpoints" - }, - "endpoints": [ - "/api/v1/chat/completions", - "/api/v1/completions", - "/api/v1/messages", - "/api/v1/responses" - ], - "reasoning": { - "mandatory": false, - "default_enabled": true - } - }, { "id": "z-ai/glm-4.5", "canonical_slug": "z-ai/glm-4.5", @@ -40523,51 +42517,51 @@ { "arena": "models", "category": "3d", - "elo": 1167, + "elo": 1150, "win_rate": 59.7, - "rank": 63 + "rank": 69 }, { "arena": "models", "category": "codecategories", - "elo": 1163, + "elo": 1154, "win_rate": 54.4, - "rank": 81 + "rank": 87 }, { "arena": "models", "category": "dataviz", - "elo": 1159, + "elo": 1156, "win_rate": 53.3, - "rank": 78 + "rank": 80 }, { "arena": "models", "category": "gamedev", - "elo": 1145, + "elo": 1134, "win_rate": 54.4, - "rank": 76 + "rank": 82 }, { "arena": "models", "category": "svg", - "elo": 1093, + "elo": 1085, "win_rate": 50.8, - "rank": 67 + "rank": 70 }, { "arena": "models", "category": "uicomponent", - "elo": 1139, + "elo": 1134, "win_rate": 55, - "rank": 84 + "rank": 89 }, { "arena": "models", "category": "website", - "elo": 1168, + "elo": 1161, "win_rate": 53.7, - "rank": 83 + "rank": 87 } ] }, @@ -40591,9 +42585,9 @@ "instruct_type": null }, "pricing": { - "prompt": "0.00000013", - "completion": "0.00000085", - "input_cache_read": "0.000000025" + "prompt": "0.0000002", + "completion": "0.0000011", + "input_cache_read": "0.00000003" }, "top_provider": { "context_length": 131072, @@ -40638,51 +42632,51 @@ { "arena": "models", "category": "3d", - "elo": 1120, + "elo": 1102, "win_rate": 54.1, - "rank": 85 + "rank": 92 }, { "arena": "models", "category": "codecategories", - "elo": 1135, + "elo": 1127, "win_rate": 51.4, - "rank": 98 + "rank": 101 }, { "arena": "models", "category": "dataviz", - "elo": 1186, + "elo": 1183, "win_rate": 58.5, "rank": 64 }, { "arena": "models", "category": "gamedev", - "elo": 1094, + "elo": 1084, "win_rate": 48.4, - "rank": 100 + "rank": 104 }, { "arena": "models", "category": "svg", - "elo": 1068, + "elo": 1060, "win_rate": 50.8, - "rank": 74 + "rank": 78 }, { "arena": "models", "category": "uicomponent", - "elo": 1118, + "elo": 1113, "win_rate": 54.4, - "rank": 93 + "rank": 97 }, { "arena": "models", "category": "website", - "elo": 1145, + "elo": 1138, "win_rate": 51.3, - "rank": 96 + "rank": 101 } ] }, @@ -40823,79 +42817,79 @@ { "arena": "agents", "category": "androidnative", - "elo": 1080, - "win_rate": 52.6, - "rank": 34 + "elo": 1072, + "win_rate": 52.8, + "rank": 37 }, { "arena": "agents", "category": "fullstack", - "elo": 1022, + "elo": 1001, "win_rate": 42.3, - "rank": 39 + "rank": 41 }, { "arena": "agents", "category": "godotgamedev", "elo": 1180, "win_rate": 53.2, - "rank": 17 + "rank": 15 }, { "arena": "agents", "category": "mobileapps", - "elo": 1096, + "elo": 1088, "win_rate": 47.2, - "rank": 40 + "rank": 42 }, { "arena": "models", "category": "3d", - "elo": 1126, + "elo": 1108, "win_rate": 54.2, - "rank": 82 + "rank": 88 }, { "arena": "models", "category": "codecategories", - "elo": 1164, + "elo": 1155, "win_rate": 54.3, - "rank": 80 + "rank": 86 }, { "arena": "models", "category": "dataviz", - "elo": 1161, + "elo": 1158, "win_rate": 52.6, "rank": 77 }, { "arena": "models", "category": "gamedev", - "elo": 1149, + "elo": 1140, "win_rate": 54.8, - "rank": 75 + "rank": 80 }, { "arena": "models", "category": "svg", - "elo": 1105, + "elo": 1098, "win_rate": 52.1, - "rank": 64 + "rank": 67 }, { "arena": "models", "category": "uicomponent", - "elo": 1142, + "elo": 1138, "win_rate": 52.5, - "rank": 83 + "rank": 88 }, { "arena": "models", "category": "website", - "elo": 1174, + "elo": 1166, "win_rate": 54.3, - "rank": 80 + "rank": 85 } ], "artificial_analysis": { @@ -40992,7 +42986,7 @@ "input_cache_read": "0.00000011" }, "top_provider": { - "context_length": 202752, + "context_length": 204800, "max_completion_tokens": 131072, "is_moderated": false }, @@ -41027,7 +43021,7 @@ }, "supported_voices": null, "knowledge_cutoff": null, - "expiration_date": "2026-12-31", + "expiration_date": null, "links": { "details": "/api/v1/models/z-ai/glm-4.7-20251222/endpoints" }, @@ -41042,16 +43036,16 @@ { "arena": "agents", "category": "androidnative", - "elo": 1108, - "win_rate": 56.1, - "rank": 31 + "elo": 1097, + "win_rate": 55.8, + "rank": 34 }, { "arena": "agents", "category": "fullstack", - "elo": 1043, + "elo": 1022, "win_rate": 45.1, - "rank": 37 + "rank": 39 }, { "arena": "agents", @@ -41063,65 +43057,65 @@ { "arena": "agents", "category": "mobileapps", - "elo": 1105, + "elo": 1097, "win_rate": 48.9, - "rank": 39 + "rank": 41 }, { "arena": "models", "category": "3d", - "elo": 1187, + "elo": 1171, "win_rate": 54.3, - "rank": 56 + "rank": 62 }, { "arena": "models", "category": "asciiart", - "elo": 1162, + "elo": 1160, "win_rate": 48.2, - "rank": 37 + "rank": 36 }, { "arena": "models", "category": "codecategories", - "elo": 1215, + "elo": 1206, "win_rate": 54.8, - "rank": 58 + "rank": 62 }, { "arena": "models", "category": "dataviz", - "elo": 1195, + "elo": 1192, "win_rate": 51.2, "rank": 63 }, { "arena": "models", "category": "gamedev", - "elo": 1187, + "elo": 1178, "win_rate": 55.2, - "rank": 62 + "rank": 66 }, { "arena": "models", "category": "svg", - "elo": 1139, + "elo": 1132, "win_rate": 54.3, - "rank": 54 + "rank": 57 }, { "arena": "models", "category": "uicomponent", - "elo": 1194, + "elo": 1189, "win_rate": 51.1, - "rank": 64 + "rank": 68 }, { "arena": "models", "category": "website", - "elo": 1224, + "elo": 1218, "win_rate": 55.3, - "rank": 57 + "rank": 61 } ], "artificial_analysis": { @@ -41203,51 +43197,51 @@ { "arena": "models", "category": "3d", - "elo": 1118, + "elo": 1100, "win_rate": 51.2, - "rank": 86 + "rank": 93 }, { "arena": "models", "category": "codecategories", - "elo": 1176, + "elo": 1167, "win_rate": 53.1, - "rank": 71 + "rank": 75 }, { "arena": "models", "category": "dataviz", - "elo": 1123, + "elo": 1120, "win_rate": 45.3, - "rank": 97 + "rank": 98 }, { "arena": "models", "category": "gamedev", - "elo": 1135, + "elo": 1124, "win_rate": 49.7, - "rank": 83 + "rank": 90 }, { "arena": "models", "category": "svg", - "elo": 1034, + "elo": 1027, "win_rate": 44.2, - "rank": 82 + "rank": 86 }, { "arena": "models", "category": "uicomponent", - "elo": 1202, + "elo": 1198, "win_rate": 57.6, - "rank": 60 + "rank": 64 }, { "arena": "models", "category": "website", - "elo": 1192, + "elo": 1186, "win_rate": 54, - "rank": 69 + "rank": 71 } ] }, @@ -41323,93 +43317,93 @@ { "arena": "agents", "category": "androidnative", - "elo": 1144, - "win_rate": 55.2, - "rank": 27 + "elo": 1136, + "win_rate": 55, + "rank": 30 }, { "arena": "agents", "category": "fullstack", - "elo": 1116, + "elo": 1095, "win_rate": 51.7, - "rank": 28 + "rank": 30 }, { "arena": "agents", "category": "godotgamedev", "elo": 1144, "win_rate": 46.7, - "rank": 21 + "rank": 19 }, { "arena": "agents", "category": "htmlslides", - "elo": 1044, + "elo": 1043, "win_rate": 45.1, "rank": 20 }, { "arena": "agents", "category": "mobileapps", - "elo": 1136, + "elo": 1128, "win_rate": 51.7, - "rank": 36 + "rank": 38 }, { "arena": "models", "category": "3d", - "elo": 1226, + "elo": 1209, "win_rate": 56.3, - "rank": 43 + "rank": 48 }, { "arena": "models", "category": "asciiart", - "elo": 1144, + "elo": 1142, "win_rate": 47.9, - "rank": 48 + "rank": 47 }, { "arena": "models", "category": "codecategories", - "elo": 1244, + "elo": 1236, "win_rate": 55.5, - "rank": 44 + "rank": 47 }, { "arena": "models", "category": "dataviz", - "elo": 1228, + "elo": 1225, "win_rate": 53, - "rank": 47 + "rank": 46 }, { "arena": "models", "category": "gamedev", - "elo": 1234, + "elo": 1224, "win_rate": 57.4, - "rank": 42 + "rank": 46 }, { "arena": "models", "category": "svg", - "elo": 1165, + "elo": 1157, "win_rate": 54.4, - "rank": 43 + "rank": 46 }, { "arena": "models", "category": "uicomponent", - "elo": 1225, + "elo": 1221, "win_rate": 53.6, - "rank": 53 + "rank": 56 }, { "arena": "models", "category": "website", - "elo": 1246, + "elo": 1239, "win_rate": 55, - "rank": 46 + "rank": 52 } ] }, @@ -41480,58 +43474,58 @@ { "arena": "models", "category": "3d", - "elo": 1244, + "elo": 1227, "win_rate": 55.3, - "rank": 36 + "rank": 41 }, { "arena": "models", "category": "asciiart", - "elo": 1159, - "win_rate": 48.3, - "rank": 39 + "elo": 1157, + "win_rate": 48.5, + "rank": 38 }, { "arena": "models", "category": "codecategories", - "elo": 1259, - "win_rate": 53.2, - "rank": 37 + "elo": 1252, + "win_rate": 53.4, + "rank": 42 }, { "arena": "models", "category": "dataviz", - "elo": 1264, + "elo": 1260, "win_rate": 55, - "rank": 29 + "rank": 30 }, { "arena": "models", "category": "gamedev", - "elo": 1247, + "elo": 1237, "win_rate": 52.2, - "rank": 40 + "rank": 44 }, { "arena": "models", "category": "svg", - "elo": 1202, - "win_rate": 53.9, - "rank": 29 + "elo": 1194, + "win_rate": 53.8, + "rank": 32 }, { "arena": "models", "category": "uicomponent", - "elo": 1258, + "elo": 1253, "win_rate": 54.7, - "rank": 38 + "rank": 42 }, { "arena": "models", "category": "website", - "elo": 1259, - "win_rate": 52.6, - "rank": 38 + "elo": 1254, + "win_rate": 52.9, + "rank": 41 } ] }, @@ -41614,62 +43608,62 @@ "category": "3d", "elo": 1336, "win_rate": 62.6, - "rank": 11 + "rank": 14 }, { "arena": "models", "category": "asciiart", - "elo": 1139, - "win_rate": 44.6, - "rank": 50 + "elo": 1140, + "win_rate": 44.2, + "rank": 49 }, { "arena": "models", "category": "codecategories", - "elo": 1267, - "win_rate": 53, - "rank": 33 + "elo": 1260, + "win_rate": 53.1, + "rank": 37 }, { "arena": "models", "category": "dataviz", "elo": 1366, "win_rate": 67, - "rank": 3 + "rank": 2 }, { "arena": "models", "category": "gamedev", - "elo": 1264, - "win_rate": 54.7, - "rank": 30 + "elo": 1255, + "win_rate": 54.5, + "rank": 33 }, { "arena": "models", "category": "svg", - "elo": 1214, - "win_rate": 55.1, - "rank": 23 + "elo": 1207, + "win_rate": 55, + "rank": 26 }, { "arena": "models", "category": "uicomponent", "elo": 1292, "win_rate": 54.9, - "rank": 22 + "rank": 21 }, { "arena": "models", "category": "website", "elo": 1290, "win_rate": 55.1, - "rank": 20 + "rank": 21 }, { "arena": "agents", "category": "agenticgamedev", - "elo": 1109, - "win_rate": 49.2, + "elo": 1106, + "win_rate": 49, "rank": 19 }, { @@ -41703,44 +43697,44 @@ { "arena": "agents", "category": "androidnative", - "elo": 1182, - "win_rate": 52.2, - "rank": 17 + "elo": 1174, + "win_rate": 51.9, + "rank": 22 }, { "arena": "agents", "category": "fullstack", - "elo": 1160, - "win_rate": 53.2, - "rank": 24 + "elo": 1139, + "win_rate": 53, + "rank": 26 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1053, - "win_rate": 37.6, + "elo": 1036, + "win_rate": 37.7, "rank": 34 }, { "arena": "agents", "category": "htmlslides", - "elo": 1066, - "win_rate": 48.8, + "elo": 1065, + "win_rate": 48.9, "rank": 16 }, { "arena": "agents", "category": "mobileapps", - "elo": 1160, - "win_rate": 50, - "rank": 28 + "elo": 1153, + "win_rate": 49.7, + "rank": 30 }, { "arena": "agents", "category": "pdf", - "elo": 1221, - "win_rate": 56.5, - "rank": 11 + "elo": 1197, + "win_rate": 54, + "rank": 17 }, { "arena": "agents", @@ -41754,21 +43748,21 @@ "category": "python-pptxslides", "elo": 1258, "win_rate": 54.2, - "rank": 3 + "rank": 5 }, { "arena": "agents", "category": "spreadsheet", "elo": 1315, "win_rate": 72.4, - "rank": 3 + "rank": 6 }, { "arena": "agents", "category": "webapps", - "elo": 1160, - "win_rate": 50.6, - "rank": 29 + "elo": 1153, + "win_rate": 50.5, + "rank": 31 } ], "artificial_analysis": { @@ -41798,9 +43792,9 @@ "instruct_type": null }, "pricing": { - "prompt": "0.000000006", + "prompt": "0.000000007", "completion": "0.0000068", - "input_cache_read": "0.000000005" + "input_cache_read": "0.000000006" }, "top_provider": { "context_length": 1048576, @@ -41856,16 +43850,16 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1155, - "win_rate": 49.2, - "rank": 10 + "elo": 1153, + "win_rate": 49.7, + "rank": 9 }, { "arena": "agents", "category": "androidnative", - "elo": 1177, - "win_rate": 52.8, - "rank": 18 + "elo": 1170, + "win_rate": 52.7, + "rank": 23 }, { "arena": "agents", @@ -41877,114 +43871,326 @@ { "arena": "agents", "category": "fullstack", - "elo": 1234, - "win_rate": 60.5, - "rank": 13 + "elo": 1213, + "win_rate": 60.1, + "rank": 15 }, { "arena": "agents", "category": "godotgamedev", "elo": 1142, "win_rate": 40.1, - "rank": 22 + "rank": 21 }, { "arena": "agents", "category": "htmlslides", "elo": 1071, - "win_rate": 49.5, + "win_rate": 49.7, "rank": 15 }, { "arena": "agents", "category": "mobileapps", - "elo": 1159, - "win_rate": 47.6, - "rank": 29 + "elo": 1153, + "win_rate": 47.4, + "rank": 31 }, { "arena": "agents", "category": "pdf", - "elo": 1249, - "win_rate": 56.7, + "elo": 1242, + "win_rate": 59.1, "rank": 9 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1148, - "win_rate": 48.8, - "rank": 21 + "elo": 1161, + "win_rate": 48.7, + "rank": 18 }, { "arena": "agents", "category": "spreadsheet", - "elo": 1038, - "win_rate": 33.3, - "rank": 26 + "elo": 1011, + "win_rate": 38.2, + "rank": 27 }, { "arena": "agents", "category": "webapps", - "elo": 1207, - "win_rate": 55.8, - "rank": 18 + "elo": 1200, + "win_rate": 55.7, + "rank": 20 }, { "arena": "models", "category": "3d", - "elo": 1284, - "win_rate": 53, - "rank": 22 + "elo": 1266, + "win_rate": 52.8, + "rank": 25 }, { "arena": "models", "category": "asciiart", - "elo": 1188, - "win_rate": 46, + "elo": 1185, + "win_rate": 46.4, "rank": 31 }, { "arena": "models", "category": "codecategories", - "elo": 1285, - "win_rate": 50.3, - "rank": 23 + "elo": 1277, + "win_rate": 50.6, + "rank": 27 }, { "arena": "models", "category": "dataviz", - "elo": 1286, - "win_rate": 51.9, - "rank": 17 + "elo": 1282, + "win_rate": 51.7, + "rank": 16 }, { "arena": "models", "category": "gamedev", - "elo": 1267, - "win_rate": 49.5, - "rank": 28 + "elo": 1256, + "win_rate": 49.1, + "rank": 32 }, { "arena": "models", "category": "svg", - "elo": 1208, - "win_rate": 48.2, - "rank": 25 + "elo": 1195, + "win_rate": 47.4, + "rank": 31 }, { "arena": "models", "category": "uicomponent", - "elo": 1291, + "elo": 1286, "win_rate": 55.3, - "rank": 23 + "rank": 24 }, { "arena": "models", "category": "website", - "elo": 1283, - "win_rate": 49.5, + "elo": 1277, + "win_rate": 49.9, + "rank": 26 + } + ], + "artificial_analysis": { + "intelligence_index": null, + "coding_index": 68.8, + "agentic_index": 38.4 + } + }, + "reasoning": { + "mandatory": false, + "default_enabled": true, + "supported_efforts": ["xhigh", "high", "none"], + "default_effort": "high" + } + }, + { + "id": "z-ai/glm-5.2:batch", + "canonical_slug": "z-ai/glm-5.2-20260616", + "hugging_face_id": "zai-org/GLM-5.2", + "name": "Z.ai: GLM 5.2 (batch)", + "created": 1781631930, + "description": "GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...", + "context_length": 1048576, + "architecture": { + "modality": "text->text", + "input_modalities": ["text"], + "output_modalities": ["text"], + "tokenizer": "Other", + "instruct_type": null + }, + "pricing": { + "prompt": "0.000000322", + "completion": "0.000000989", + "input_cache_read": "0.000000109" + }, + "top_provider": { + "context_length": 1048576, + "max_completion_tokens": 943718, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "frequency_penalty", + "include_reasoning", + "logit_bias", + "logprobs", + "max_tokens", + "min_p", + "presence_penalty", + "reasoning", + "reasoning_effort", + "repetition_penalty", + "response_format", + "seed", + "stop", + "structured_outputs", + "temperature", + "tool_choice", + "tools", + "top_k", + "top_logprobs", + "top_p" + ], + "default_parameters": { + "temperature": 1, + "top_p": 0.95, + "top_k": null, + "frequency_penalty": null, + "presence_penalty": null, + "repetition_penalty": null + }, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/z-ai/glm-5.2-20260616/endpoints" + }, + "endpoints": ["/api/v1/batches"], + "benchmarks": { + "design_arena": [ + { + "arena": "agents", + "category": "agenticgamedev", + "elo": 1153, + "win_rate": 49.7, + "rank": 9 + }, + { + "arena": "agents", + "category": "androidnative", + "elo": 1170, + "win_rate": 52.7, + "rank": 23 + }, + { + "arena": "agents", + "category": "blender3d", + "elo": 983, + "win_rate": 36.1, + "rank": 22 + }, + { + "arena": "agents", + "category": "fullstack", + "elo": 1213, + "win_rate": 60.1, + "rank": 15 + }, + { + "arena": "agents", + "category": "godotgamedev", + "elo": 1142, + "win_rate": 40.1, + "rank": 21 + }, + { + "arena": "agents", + "category": "htmlslides", + "elo": 1071, + "win_rate": 49.7, + "rank": 15 + }, + { + "arena": "agents", + "category": "mobileapps", + "elo": 1153, + "win_rate": 47.4, + "rank": 31 + }, + { + "arena": "agents", + "category": "pdf", + "elo": 1242, + "win_rate": 59.1, + "rank": 9 + }, + { + "arena": "agents", + "category": "python-pptxslides", + "elo": 1161, + "win_rate": 48.7, + "rank": 18 + }, + { + "arena": "agents", + "category": "spreadsheet", + "elo": 1011, + "win_rate": 38.2, + "rank": 27 + }, + { + "arena": "agents", + "category": "webapps", + "elo": 1200, + "win_rate": 55.7, + "rank": 20 + }, + { + "arena": "models", + "category": "3d", + "elo": 1266, + "win_rate": 52.8, + "rank": 25 + }, + { + "arena": "models", + "category": "asciiart", + "elo": 1185, + "win_rate": 46.4, + "rank": 31 + }, + { + "arena": "models", + "category": "codecategories", + "elo": 1277, + "win_rate": 50.6, + "rank": 27 + }, + { + "arena": "models", + "category": "dataviz", + "elo": 1282, + "win_rate": 51.7, + "rank": 16 + }, + { + "arena": "models", + "category": "gamedev", + "elo": 1256, + "win_rate": 49.1, + "rank": 32 + }, + { + "arena": "models", + "category": "svg", + "elo": 1195, + "win_rate": 47.4, + "rank": 31 + }, + { + "arena": "models", + "category": "uicomponent", + "elo": 1286, + "win_rate": 55.3, "rank": 24 + }, + { + "arena": "models", + "category": "website", + "elo": 1277, + "win_rate": 49.9, + "rank": 26 } ], "artificial_analysis": { @@ -42016,9 +44222,9 @@ "instruct_type": null }, "pricing": { - "prompt": "0.0000000699", - "completion": "0.0000014", - "input_cache_read": "0.0000000689" + "prompt": "0.000000084", + "completion": "0.0000036", + "input_cache_read": "0.000000079" }, "top_provider": { "context_length": 1048576, @@ -42070,58 +44276,58 @@ { "arena": "models", "category": "3d", - "elo": 1324, - "win_rate": 58.8, - "rank": 16 + "elo": 1295, + "win_rate": 55.8, + "rank": 20 }, { "arena": "models", "category": "asciiart", "elo": 1208, - "win_rate": 47.6, + "win_rate": 46.8, "rank": 23 }, { "arena": "models", "category": "codecategories", - "elo": 1296, - "win_rate": 53.3, - "rank": 17 + "elo": 1284, + "win_rate": 52.3, + "rank": 22 }, { "arena": "models", "category": "dataviz", - "elo": 1260, - "win_rate": 51.7, - "rank": 32 + "elo": 1251, + "win_rate": 50.6, + "rank": 34 }, { "arena": "models", "category": "gamedev", - "elo": 1303, - "win_rate": 51.6, - "rank": 18 + "elo": 1288, + "win_rate": 50.5, + "rank": 22 }, { "arena": "models", "category": "svg", - "elo": 1261, - "win_rate": 52.6, - "rank": 15 + "elo": 1246, + "win_rate": 51.3, + "rank": 18 }, { "arena": "models", "category": "uicomponent", - "elo": 1293, - "win_rate": 53.5, - "rank": 21 + "elo": 1285, + "win_rate": 53.1, + "rank": 25 }, { "arena": "models", "category": "website", - "elo": 1289, - "win_rate": 53.3, - "rank": 21 + "elo": 1279, + "win_rate": 52.5, + "rank": 24 }, { "arena": "agents", @@ -42133,16 +44339,23 @@ { "arena": "agents", "category": "mobileapps", - "elo": 1190, + "elo": 1184, "win_rate": 52.2, - "rank": 22 + "rank": 24 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1214, - "win_rate": 51.2, - "rank": 9 + "elo": 1216, + "win_rate": 49.6, + "rank": 10 + }, + { + "arena": "agents", + "category": "webapps", + "elo": 1270, + "win_rate": 54.2, + "rank": 10 } ], "artificial_analysis": { @@ -42174,13 +44387,13 @@ "instruct_type": null }, "pricing": { - "prompt": "0.00000015", - "completion": "0.0000005", + "prompt": "0.0000000399", + "completion": "0.0000000784", "input_cache_read": "0.00000003" }, "top_provider": { - "context_length": 1048575, - "max_completion_tokens": 943717, + "context_length": 1048576, + "max_completion_tokens": 131072, "is_moderated": false }, "per_request_limits": null, @@ -42228,58 +44441,58 @@ { "arena": "models", "category": "3d", - "elo": 1314, - "win_rate": 56.1, - "rank": 18 + "elo": 1293, + "win_rate": 55, + "rank": 21 }, { "arena": "models", "category": "asciiart", - "elo": 1275, - "win_rate": 55.1, - "rank": 9 + "elo": 1269, + "win_rate": 54.1, + "rank": 10 }, { "arena": "models", "category": "codecategories", - "elo": 1279, - "win_rate": 49.2, - "rank": 25 + "elo": 1267, + "win_rate": 48.3, + "rank": 29 }, { "arena": "models", "category": "dataviz", - "elo": 1260, - "win_rate": 50.3, - "rank": 33 + "elo": 1258, + "win_rate": 50.2, + "rank": 32 }, { "arena": "models", "category": "gamedev", - "elo": 1276, - "win_rate": 46.9, - "rank": 23 + "elo": 1266, + "win_rate": 46.4, + "rank": 28 }, { "arena": "models", "category": "svg", - "elo": 1275, - "win_rate": 54.5, - "rank": 14 + "elo": 1271, + "win_rate": 54.8, + "rank": 16 }, { "arena": "models", "category": "uicomponent", - "elo": 1304, - "win_rate": 52.6, - "rank": 16 + "elo": 1296, + "win_rate": 52, + "rank": 20 }, { "arena": "models", "category": "website", - "elo": 1270, - "win_rate": 48.4, - "rank": 29 + "elo": 1257, + "win_rate": 47.3, + "rank": 40 } ], "artificial_analysis": { @@ -42359,58 +44572,58 @@ { "arena": "models", "category": "3d", - "elo": 1314, - "win_rate": 56.1, - "rank": 18 + "elo": 1293, + "win_rate": 55, + "rank": 21 }, { "arena": "models", "category": "asciiart", - "elo": 1275, - "win_rate": 55.1, - "rank": 9 + "elo": 1269, + "win_rate": 54.1, + "rank": 10 }, { "arena": "models", "category": "codecategories", - "elo": 1279, - "win_rate": 49.2, - "rank": 25 + "elo": 1267, + "win_rate": 48.3, + "rank": 29 }, { "arena": "models", "category": "dataviz", - "elo": 1260, - "win_rate": 50.3, - "rank": 33 + "elo": 1258, + "win_rate": 50.2, + "rank": 32 }, { "arena": "models", "category": "gamedev", - "elo": 1276, - "win_rate": 46.9, - "rank": 23 + "elo": 1266, + "win_rate": 46.4, + "rank": 28 }, { "arena": "models", "category": "svg", - "elo": 1275, - "win_rate": 54.5, - "rank": 14 + "elo": 1271, + "win_rate": 54.8, + "rank": 16 }, { "arena": "models", "category": "uicomponent", - "elo": 1304, - "win_rate": 52.6, - "rank": 16 + "elo": 1296, + "win_rate": 52, + "rank": 20 }, { "arena": "models", "category": "website", - "elo": 1270, - "win_rate": 48.4, - "rank": 29 + "elo": 1257, + "win_rate": 47.3, + "rank": 40 } ], "artificial_analysis": { @@ -42458,6 +44671,7 @@ "reasoning", "reasoning_effort", "response_format", + "structured_outputs", "temperature", "tool_choice", "tools", @@ -42646,6 +44860,7 @@ "frequency_penalty", "include_reasoning", "logit_bias", + "logprobs", "max_tokens", "min_p", "presence_penalty", @@ -42660,6 +44875,7 @@ "tool_choice", "tools", "top_k", + "top_logprobs", "top_p" ], "default_parameters": { @@ -42678,58 +44894,58 @@ { "arena": "models", "category": "3d", - "elo": 1324, - "win_rate": 58.8, - "rank": 16 + "elo": 1295, + "win_rate": 55.8, + "rank": 20 }, { "arena": "models", "category": "asciiart", "elo": 1208, - "win_rate": 47.6, + "win_rate": 46.8, "rank": 23 }, { "arena": "models", "category": "codecategories", - "elo": 1296, - "win_rate": 53.3, - "rank": 17 + "elo": 1284, + "win_rate": 52.3, + "rank": 22 }, { "arena": "models", "category": "dataviz", - "elo": 1260, - "win_rate": 51.7, - "rank": 32 + "elo": 1251, + "win_rate": 50.6, + "rank": 34 }, { "arena": "models", "category": "gamedev", - "elo": 1303, - "win_rate": 51.6, - "rank": 18 + "elo": 1288, + "win_rate": 50.5, + "rank": 22 }, { "arena": "models", "category": "svg", - "elo": 1261, - "win_rate": 52.6, - "rank": 15 + "elo": 1246, + "win_rate": 51.3, + "rank": 18 }, { "arena": "models", "category": "uicomponent", - "elo": 1293, - "win_rate": 53.5, - "rank": 21 + "elo": 1285, + "win_rate": 53.1, + "rank": 25 }, { "arena": "models", "category": "website", - "elo": 1289, - "win_rate": 53.3, - "rank": 21 + "elo": 1279, + "win_rate": 52.5, + "rank": 24 }, { "arena": "agents", @@ -42741,16 +44957,23 @@ { "arena": "agents", "category": "mobileapps", - "elo": 1190, + "elo": 1184, "win_rate": 52.2, - "rank": 22 + "rank": 24 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1214, - "win_rate": 51.2, - "rank": 9 + "elo": 1216, + "win_rate": 49.6, + "rank": 10 + }, + { + "arena": "agents", + "category": "webapps", + "elo": 1270, + "win_rate": 54.2, + "rank": 10 } ], "artificial_analysis": { @@ -42828,7 +45051,7 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1047, + "elo": 1045, "win_rate": 42.6, "rank": 24 }, @@ -42865,35 +45088,35 @@ "category": "androidnative", "elo": 1267, "win_rate": 54.8, - "rank": 4 + "rank": 5 }, { "arena": "agents", "category": "fullstack", - "elo": 1142, + "elo": 1121, "win_rate": 52.1, - "rank": 27 + "rank": 29 }, { "arena": "agents", "category": "godotgamedev", - "elo": 957, + "elo": 937, "win_rate": 26.9, "rank": 35 }, { "arena": "agents", "category": "htmlslides", - "elo": 1017, + "elo": 1015, "win_rate": 44.6, "rank": 23 }, { "arena": "agents", "category": "mobileapps", - "elo": 1134, - "win_rate": 50.4, - "rank": 37 + "elo": 1127, + "win_rate": 50.5, + "rank": 39 }, { "arena": "agents", @@ -42907,70 +45130,70 @@ "category": "python-pptxslides", "elo": 1165, "win_rate": 51.9, - "rank": 16 + "rank": 17 }, { "arena": "agents", "category": "webapps", - "elo": 1109, + "elo": 1101, "win_rate": 44.7, - "rank": 35 + "rank": 38 }, { "arena": "models", "category": "3d", - "elo": 1205, + "elo": 1189, "win_rate": 52.3, - "rank": 49 + "rank": 54 }, { "arena": "models", "category": "asciiart", - "elo": 1113, + "elo": 1114, "win_rate": 42.5, - "rank": 59 + "rank": 58 }, { "arena": "models", "category": "codecategories", - "elo": 1226, - "win_rate": 49.4, - "rank": 56 + "elo": 1218, + "win_rate": 49.5, + "rank": 60 }, { "arena": "models", "category": "dataviz", - "elo": 1202, + "elo": 1199, "win_rate": 47.6, - "rank": 60 + "rank": 62 }, { "arena": "models", "category": "gamedev", - "elo": 1216, + "elo": 1207, "win_rate": 49.5, - "rank": 48 + "rank": 51 }, { "arena": "models", "category": "svg", - "elo": 1147, - "win_rate": 48.3, - "rank": 49 + "elo": 1138, + "win_rate": 48, + "rank": 55 }, { "arena": "models", "category": "uicomponent", - "elo": 1207, + "elo": 1201, "win_rate": 47.8, - "rank": 57 + "rank": 62 }, { "arena": "models", "category": "website", - "elo": 1228, - "win_rate": 48.7, - "rank": 55 + "elo": 1222, + "win_rate": 48.9, + "rank": 59 } ] }, diff --git a/scripts/openrouter.video-models.json b/scripts/openrouter.video-models.json index 787ae29239..ddf912b6b1 100644 --- a/scripts/openrouter.video-models.json +++ b/scripts/openrouter.video-models.json @@ -290,58 +290,6 @@ }, "allowed_passthrough_parameters": ["safety_tolerance"] }, - { - "id": "bytedance/seedance-1-5-pro", - "canonical_slug": "bytedance/seedance-1-5-pro-20260320", - "hugging_face_id": null, - "name": "ByteDance: Seedance 1.5 Pro", - "created": 1774277608, - "description": "ByteDance's next-generation audio-visual generation model with a 4.5B parameter Dual-Branch Diffusion Transformer architecture. Seedance 1.5 Pro generates video and audio simultaneously in a single unified pass — eliminating the timing...", - "supported_resolutions": ["480p", "720p", "1080p"], - "supported_aspect_ratios": [ - "1:1", - "3:4", - "9:16", - "9:21", - "4:3", - "16:9", - "21:9" - ], - "supported_sizes": [ - "480x480", - "480x640", - "480x854", - "480x1120", - "640x480", - "720x720", - "720x960", - "720x1280", - "720x1680", - "854x480", - "960x720", - "1080x1080", - "1080x1440", - "1080x1920", - "1080x2520", - "1120x480", - "1280x720", - "1440x1080", - "1680x720", - "1920x1080", - "2520x1080" - ], - "supported_durations": [4, 5, 6, 7, 8, 9, 10, 11, 12], - "supported_frame_images": ["first_frame", "last_frame"], - "upscale_factor": null, - "creativity": null, - "generate_audio": true, - "seed": true, - "pricing_skus": { - "video_tokens": "0.0000024", - "video_tokens_without_audio": "0.0000012" - }, - "allowed_passthrough_parameters": ["watermark", "req_key"] - }, { "id": "bytedance/seedance-2.0", "canonical_slug": "bytedance/seedance-2.0-20260414", @@ -771,7 +719,11 @@ "reference_duration_seconds_2k": "0.18", "reference_duration_seconds_480p": "0.07", "reference_duration_seconds_768p": "0.1", - "reference_duration_seconds_1080p": "0.18" + "reference_duration_seconds_1080p": "0.18", + "long_reference_duration_seconds_2k": "0.18", + "long_reference_duration_seconds_480p": "0.07", + "long_reference_duration_seconds_768p": "0.1", + "long_reference_duration_seconds_1080p": "0.18" }, "allowed_passthrough_parameters": ["prompt_enhancement"] }, diff --git a/scripts/vercel-gateway.models.json b/scripts/vercel-gateway.models.json index 645620fd56..f0f9fb8e33 100644 --- a/scripts/vercel-gateway.models.json +++ b/scripts/vercel-gateway.models.json @@ -752,6 +752,56 @@ "output": "0.0000036" } }, + { + "id": "alibaba/qwen3.6-35b-a3b", + "object": "model", + "created": 1755815280, + "released": 1777248000, + "owned_by": "alibaba", + "name": "Qwen 3.6 35B A3B", + "description": "Qwen 3.6 35B A3B is a mixture-of-experts model with 35 billion total parameters and 3 billion active parameters, built for coding, reasoning, and tool-based workflows.", + "context_window": 262144, + "max_tokens": 65536, + "type": "language", + "zdr": "all", + "no_training": "all", + "tags": [ + "reasoning", + "structured-output", + "tool-use", + "video-input", + "vision", + "open-weights", + "implicit-caching" + ], + "supported_specifications": ["v2", "v3", "v4"], + "modalities": { + "input": ["text", "image", "video"], + "output": ["text"] + }, + "supported_parameters": [ + "max_tokens", + "temperature", + "stop", + "tools", + "tool_choice", + "reasoning", + "include_reasoning", + "response_format", + "structured_outputs" + ], + "temperature": true, + "reasoning_options": [ + { + "type": "toggle" + } + ], + "pricing": { + "input": "0.000000375", + "output": "0.00000225", + "varies_by_provider": true + } + }, { "id": "alibaba/qwen3.6-plus", "object": "model", @@ -1148,12 +1198,12 @@ "id": "alibaba/qwen3.8-2.4t-a95b", "object": "model", "created": 1755815280, - "released": 1785628800, + "released": 1785715200, "owned_by": "alibaba", "name": "Qwen3.8 2.4T A95B", - "description": "Qwen 3.8 Max is a 2.4-trillion-parameter MoE model delivering a comprehensive leap in coding and professional work. Autonomously codes and delivers complete projects spanning 10+ days. Handles hundreds of specialized tasks across legal, financial, design, and other professional domains, producing production-grade results end-to-end in a single conversation. Native visual understanding runs through the full cycle of planning, execution, and verification, enabling deep semantic analysis of ultra-long documents and extended video content. In long-horizon tasks, plans autonomously, iterates through closed feedback loops, and continuously evolves.", + "description": "Open-weights release of the Qwen3.8 flagship (2.4T MoE, ~95B active); thinking always on with reasoning_effort low/medium/xhigh. The hosted Qwen 3.8 Max (vision, non-thinking, 1M default context) is Alibaba-only.", "context_window": 262144, - "max_tokens": 128000, + "max_tokens": 131072, "type": "language", "zdr": "some", "no_training": "some", @@ -1161,9 +1211,9 @@ "reasoning", "tool-use", "implicit-caching", - "structured-output", + "vision", "open-weights", - "vision" + "structured-output" ], "supported_specifications": ["v2", "v3", "v4"], "modalities": { @@ -1191,8 +1241,7 @@ "pricing": { "input": "0.000002", "output": "0.000006", - "input_cache_read": "0.00000025", - "varies_by_provider": true + "input_cache_read": "0.00000025" } }, { @@ -1244,7 +1293,7 @@ ], "pricing": { "input": "0.00000006", - "output": "0.0000023", + "output": "0.0000022", "input_cache_read": "0.000000059", "varies_by_provider": true } @@ -1324,7 +1373,7 @@ "owned_by": "alibaba", "name": "Qwen 3.8 Max", "description": "Qwen 3.8 Max is a 2.4-trillion-parameter MoE model delivering a comprehensive leap in coding and professional work. Autonomously codes and delivers complete projects spanning 10+ days. Handles hundreds of specialized tasks across legal, financial, design, and other professional domains, producing production-grade results end-to-end in a single conversation. Native visual understanding runs through the full cycle of planning, execution, and verification, enabling deep semantic analysis of ultra-long documents and extended video content. In long-horizon tasks, plans autonomously, iterates through closed feedback loops, and continuously evolves.", - "context_window": 262144, + "context_window": 1000000, "max_tokens": 128000, "type": "language", "zdr": "all", @@ -1373,6 +1422,7 @@ "input": "0.000002", "output": "0.000006", "input_cache_read": "0.00000025", + "input_cache_write": "0.0000025", "regional": { "us": { "input": "0.000002", @@ -2067,6 +2117,7 @@ 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30 ], + "generate_audio": true, "supported_fps": [30], "max_sample_count": 1, "input_limits": { @@ -2161,6 +2212,7 @@ 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30 ], + "generate_audio": true, "supported_fps": [30], "max_sample_count": 1, "input_limits": { @@ -2255,12 +2307,9 @@ ], "temperature": true, "reasoning_options": [ - { - "type": "toggle" - }, { "type": "effort", - "values": ["none", "low", "medium", "high"] + "values": ["low", "medium"] } ], "knowledge": "2024-10", @@ -2662,6 +2711,190 @@ "input_cache_write": "0.00000625" } }, + { + "id": "anthropic/claude-fable-5.2", + "object": "model", + "created": 1755815280, + "released": 1794182400, + "owned_by": "anthropic", + "name": "Claude Fable 5.2", + "description": "Claude Fable 5.2 supports agentic coding, knowledge work, and research with always-on adaptive thinking and adjustable reasoning effort from low through max.", + "context_window": 1000000, + "max_tokens": 128000, + "type": "language", + "zdr": "none", + "no_training": "all", + "tags": [ + "explicit-caching", + "fast", + "file-input", + "reasoning", + "structured-output", + "tool-use", + "vision" + ], + "regions": ["us"], + "supported_specifications": ["v2", "v3", "v4"], + "modalities": { + "input": ["text", "image", "pdf"], + "output": ["text"] + }, + "supported_parameters": [ + "max_tokens", + "stop", + "tools", + "tool_choice", + "reasoning", + "include_reasoning", + "response_format", + "structured_outputs" + ], + "temperature": false, + "reasoning_options": [ + { + "type": "effort", + "values": ["low", "medium", "high", "xhigh", "max"] + } + ], + "pricing": { + "input": "0.000008", + "output": "0.00004", + "input_cache_read": "0.0000002", + "input_cache_write": "0.00001", + "web_search": "10", + "fast": { + "input": "0.000016", + "output": "0.00008", + "input_cache_read": "0.0000004", + "input_cache_write": "0.00002" + }, + "regional": { + "us": { + "input": "0.0000088", + "output": "0.000044", + "input_cache_read": "0.00000022", + "input_cache_write": "0.000011", + "fast": { + "input": "0.0000176", + "output": "0.000088", + "input_cache_read": "0.00000044", + "input_cache_write": "0.000022" + } + } + } + } + }, + { + "id": "anthropic/claude-fable-5.2-batch", + "object": "model", + "created": 1755815280, + "released": 1794182400, + "owned_by": "anthropic", + "name": "Claude Fable 5.2 (Batch)", + "description": "Claude Fable 5.2 supports agentic coding, knowledge work, and research with always-on adaptive thinking and adjustable reasoning effort from low through max.", + "context_window": 1000000, + "max_tokens": 128000, + "type": "language", + "zdr": "none", + "no_training": "all", + "tags": [ + "explicit-caching", + "file-input", + "reasoning", + "structured-output", + "tool-use", + "vision" + ], + "supported_specifications": ["v4"], + "modalities": { + "input": ["text", "image", "pdf"], + "output": ["text"] + }, + "supported_parameters": [ + "max_tokens", + "stop", + "tools", + "tool_choice", + "reasoning", + "include_reasoning", + "response_format", + "structured_outputs" + ], + "temperature": false, + "reasoning_options": [ + { + "type": "effort", + "values": ["low", "medium", "high", "xhigh", "max"] + } + ], + "pricing": { + "input": "0.000004", + "output": "0.00002", + "input_cache_read": "0.0000001", + "input_cache_write": "0.000005" + } + }, + { + "id": "anthropic/claude-fable-5.2-fast", + "object": "model", + "created": 1755815280, + "released": 1794182400, + "owned_by": "anthropic", + "name": "Claude Fable 5.2 (Fast)", + "description": "Claude Fable 5.2 supports agentic coding, knowledge work, and research with always-on adaptive thinking and adjustable reasoning effort from low through max.", + "context_window": 1000000, + "max_tokens": 128000, + "type": "language", + "zdr": "none", + "no_training": "all", + "tags": [ + "explicit-caching", + "fast", + "file-input", + "reasoning", + "structured-output", + "tool-use", + "vision" + ], + "regions": ["us"], + "supported_specifications": ["v2", "v3", "v4"], + "modalities": { + "input": ["text", "image", "pdf"], + "output": ["text"] + }, + "supported_parameters": [ + "max_tokens", + "stop", + "tools", + "tool_choice", + "reasoning", + "include_reasoning", + "response_format", + "structured_outputs" + ], + "temperature": false, + "reasoning_options": [ + { + "type": "effort", + "values": ["low", "medium", "high", "xhigh", "max"] + } + ], + "pricing": { + "input": "0.000016", + "output": "0.00008", + "input_cache_read": "0.0000004", + "input_cache_write": "0.00002", + "web_search": "10", + "regional": { + "us": { + "input": "0.0000176", + "output": "0.000088", + "input_cache_read": "0.00000044", + "input_cache_write": "0.000022" + } + } + } + }, { "id": "anthropic/claude-haiku-4.5", "object": "model", @@ -3513,9 +3746,6 @@ { "type": "effort", "values": ["none", "low", "medium", "high", "xhigh", "max"] - }, - { - "type": "budget_tokens" } ], "knowledge": "2026-01-31", @@ -3592,9 +3822,6 @@ { "type": "effort", "values": ["none", "low", "medium", "high", "xhigh", "max"] - }, - { - "type": "budget_tokens" } ], "knowledge": "2026-01-31", @@ -3653,9 +3880,6 @@ { "type": "effort", "values": ["none", "low", "medium", "high", "xhigh", "max"] - }, - { - "type": "budget_tokens" } ], "knowledge": "2026-01", @@ -3738,9 +3962,6 @@ { "type": "effort", "values": ["none", "low", "medium", "high", "xhigh", "max"] - }, - { - "type": "budget_tokens" } ], "knowledge": "2026-01", @@ -3799,9 +4020,6 @@ { "type": "effort", "values": ["none", "low", "medium", "high", "xhigh", "max"] - }, - { - "type": "budget_tokens" } ], "knowledge": "2026-01", @@ -3868,9 +4086,6 @@ { "type": "effort", "values": ["none", "low", "medium", "high", "xhigh", "max"] - }, - { - "type": "budget_tokens" } ], "knowledge": "2026-05", @@ -3958,9 +4173,6 @@ { "type": "effort", "values": ["none", "low", "medium", "high", "xhigh", "max"] - }, - { - "type": "budget_tokens" } ], "knowledge": "2026-05", @@ -4018,9 +4230,6 @@ { "type": "effort", "values": ["none", "low", "medium", "high", "xhigh", "max"] - }, - { - "type": "budget_tokens" } ], "knowledge": "2026-05", @@ -4731,9 +4940,6 @@ { "type": "effort", "values": ["none", "low", "medium", "high", "xhigh", "max"] - }, - { - "type": "budget_tokens" } ], "knowledge": "2026-01-31", @@ -4809,9 +5015,6 @@ { "type": "effort", "values": ["none", "low", "medium", "high", "xhigh", "max"] - }, - { - "type": "budget_tokens" } ], "knowledge": "2026-01-31", @@ -5401,136 +5604,6 @@ "image": "0.06" } }, - { - "id": "bytedance/seed-1.6", - "object": "model", - "created": 1755815280, - "released": 1756684800, - "owned_by": "bytedance", - "name": "Seed 1.6", - "description": "ByteDance's new multimodal deep-thinking model, supporting both text and visual inputs with enhanced reasoning capabilities.", - "context_window": 256000, - "max_tokens": 32000, - "type": "language", - "zdr": "none", - "no_training": "all", - "tags": ["reasoning", "tool-use", "vision"], - "supported_specifications": ["v2", "v3", "v4"], - "modalities": { - "input": ["text", "image"], - "output": ["text"] - }, - "supported_parameters": [ - "max_tokens", - "temperature", - "stop", - "tools", - "tool_choice", - "reasoning", - "include_reasoning" - ], - "temperature": true, - "reasoning_options": [ - { - "type": "toggle" - } - ], - "knowledge": "2024-10", - "pricing": { - "input": "0.00000025", - "input_tiers": [ - { - "cost": "0.00000025", - "min": 0, - "max": 128001 - }, - { - "cost": "0.0000005", - "min": 128001 - } - ], - "output": "0.000002", - "output_tiers": [ - { - "cost": "0.000002", - "min": 0, - "max": 128001 - }, - { - "cost": "0.000004", - "min": 128001 - } - ], - "input_cache_read": "0.00000005" - } - }, - { - "id": "bytedance/seed-1.8", - "object": "model", - "created": 1755815280, - "released": 1756684800, - "owned_by": "bytedance", - "name": "Bytedance Seed 1.8", - "description": "Bytedance Seed 1.8 features stronger multimodal understanding and agent capabilities. The model delivers superior performance across a wide range of complex real-world tasks, helping enterprises create greater value.", - "context_window": 256000, - "max_tokens": 64000, - "type": "language", - "zdr": "none", - "no_training": "all", - "tags": ["reasoning", "tool-use", "vision"], - "supported_specifications": ["v2", "v3", "v4"], - "modalities": { - "input": ["text", "image"], - "output": ["text"] - }, - "supported_parameters": [ - "max_tokens", - "temperature", - "stop", - "tools", - "tool_choice", - "reasoning", - "include_reasoning" - ], - "temperature": true, - "reasoning_options": [ - { - "type": "toggle" - }, - { - "type": "effort", - "values": ["minimal", "low", "medium", "high"] - } - ], - "knowledge": "2024-10", - "pricing": { - "input": "0.00000025", - "input_tiers": [ - { - "cost": "0.00000025", - "min": 0, - "max": 128001 - }, - { - "cost": "0.0000005", - "min": 128001 - } - ], - "output": "0.000002", - "output_tiers": [ - { - "cost": "0.000002", - "min": 0, - "max": 128001 - }, - { - "cost": "0.000004", - "min": 128001 - } - ], - "input_cache_read": "0.00000005" - } - }, { "id": "bytedance/seed-2.1-turbo", "object": "model", @@ -5587,7 +5660,7 @@ "max_tokens": 0, "type": "video", "zdr": "none", - "no_training": "all", + "no_training": "some", "tags": ["video-generation", "vision"], "supported_specifications": ["v3", "v4"], "modalities": { @@ -5866,10 +5939,11 @@ "max_tokens": 0, "type": "video", "zdr": "none", - "no_training": "all", + "no_training": "some", + "tags": ["video-generation", "vision"], "supported_specifications": ["v3", "v4"], "modalities": { - "input": ["text"], + "input": ["text", "image"], "output": ["video"] }, "video_capabilities": { @@ -6088,93 +6162,6 @@ ] } }, - { - "id": "bytedance/seedance-v1.5-pro", - "object": "model", - "created": 1755815280, - "released": 1765843200, - "owned_by": "bytedance", - "name": "Seedance v1.5 Pro", - "description": "ByteDance's Seedance 1.5 Pro is a professional video model using V2A native generation for integrated, synced audio-visual output, enhancing efficiency of professional video creation.", - "context_window": 0, - "max_tokens": 0, - "type": "video", - "zdr": "none", - "no_training": "all", - "tags": ["video-generation"], - "supported_specifications": ["v3", "v4"], - "modalities": { - "input": ["text"], - "output": ["video"] - }, - "video_capabilities": { - "supported_operations": [ - "text-to-video", - "image-to-video", - "first-last-frame" - ], - "supported_resolutions": ["480p", "720p", "1080p"], - "supported_aspect_ratios": ["16:9", "4:3", "1:1", "3:4", "9:16", "21:9"], - "supported_durations_seconds": [4, 5, 6, 7, 8, 9, 10, 11, 12], - "generate_audio": true, - "supported_fps": [24], - "input_limits": { - "image": { - "max_count": 2, - "max_file_size_mb": 30, - "supported_formats": [ - "jpeg", - "png", - "webp", - "bmp", - "tiff", - "gif", - "heic", - "heif" - ], - "supported_sources": ["url"], - "min_dimension_pixels": 300, - "max_dimension_pixels": 6000, - "min_aspect_ratio": "2:5", - "max_aspect_ratio": "5:2" - } - } - }, - "pricing": { - "video_duration_pricing": [ - { - "resolution": "480p", - "audio": false, - "cost_per_second": "0.0121" - }, - { - "resolution": "480p", - "audio": true, - "cost_per_second": "0.0241" - }, - { - "resolution": "720p", - "audio": false, - "cost_per_second": "0.0259" - }, - { - "resolution": "720p", - "audio": true, - "cost_per_second": "0.0518" - }, - { - "resolution": "1080p", - "audio": false, - "cost_per_second": "0.0583" - }, - { - "resolution": "1080p", - "audio": true, - "cost_per_second": "0.1166" - } - ] - } - }, { "id": "bytedance/seedream-4.0", "object": "model", @@ -6576,15 +6563,6 @@ "include_reasoning" ], "temperature": true, - "reasoning_options": [ - { - "type": "toggle" - }, - { - "type": "effort", - "values": ["none", "low", "medium", "high"] - } - ], "knowledge": "2024-07", "pricing": { "input": "0.00000135", @@ -6779,6 +6757,9 @@ { "type": "effort", "values": ["none", "low", "medium", "high"] + }, + { + "type": "budget_tokens" } ], "knowledge": "2025-05", @@ -6870,7 +6851,7 @@ "max_tokens": 1048576, "type": "language", "zdr": "none", - "no_training": "some", + "no_training": "all", "tags": [ "reasoning", "tool-use", @@ -6908,8 +6889,7 @@ "pricing": { "input": "0.0000002156", "output": "0.0000006468", - "input_cache_read": "0.0000000068", - "varies_by_provider": true + "input_cache_read": "0.0000000068" } }, { @@ -7051,9 +7031,9 @@ "released": 1788825600, "owned_by": "deepseek", "name": "DeepSeek V4.1 Flash", - "description": "DeepSeek V4.1 Flash is an AI model from DeepSeek designed for fast, efficient multimodal interactions. It combines native multimodal capabilities with a new architecture focused on stronger performance, faster responses, and lower computational cost.", + "description": "DeepSeek V4.1 Flash served by DigitalOcean for multimodal reasoning, tool calling, and structured output.", "context_window": 1048576, - "max_tokens": 32768, + "max_tokens": 1048576, "type": "language", "zdr": "some", "no_training": "some", @@ -7096,7 +7076,7 @@ "pricing": { "input": "0.0000003", "output": "0.0000012", - "input_cache_read": "0.000000007", + "input_cache_read": "0.000000006", "varies_by_provider": true, "fast": { "input": "0.0000006", @@ -7131,12 +7111,13 @@ "structured-output", "tool-use", "vision", - "open-weights" + "open-weights", + "file-input" ], - "regions": ["us"], + "regions": ["eu", "us"], "supported_specifications": ["v2", "v3", "v4"], "modalities": { - "input": ["text", "image"], + "input": ["text", "image", "pdf"], "output": ["text"] }, "supported_parameters": [ @@ -7171,6 +7152,11 @@ "input_cache_read": "0.000000014" }, "regional": { + "eu": { + "input": "0.00000024", + "output": "0.00000096", + "input_cache_read": "0.0000000048" + }, "us": { "input": "0.0000003", "output": "0.0000012", @@ -7224,7 +7210,7 @@ }, { "type": "effort", - "values": ["none", "low", "medium", "high"] + "values": ["none", "low", "high", "max"] } ], "pricing": { @@ -7241,27 +7227,26 @@ } }, { - "id": "deepseek/deepseek-v4.1-flash-fast", + "id": "deepseek/deepseek-v4.1-flash-1017-ultrafast", "object": "model", "created": 1755815280, - "released": 1790640000, + "released": 1793923200, "owned_by": "deepseek", - "name": "DeepSeek V4.1 Flash Fast", - "description": "Higher-throughput variant of DeepSeek V4.1 Flash for responsive coding, reasoning, and agentic workloads.", + "name": "DeepSeek V4.1 Flash 1017 Ultrafast", + "description": "DeepSeek V4.1 Flash 1017 Ultrafast serves the October 17, 2026 update of DeepSeek V4.1 Flash through Fireworks' accelerated serverless endpoint. It supports text and image input, configurable reasoning, tool calling, structured outputs, and automatic prefix caching. Available in public preview without a waitroom or session time limit.", "context_window": 1048576, - "max_tokens": 32768, + "max_tokens": 1048576, "type": "language", "zdr": "all", "no_training": "all", "tags": [ + "implicit-caching", "reasoning", + "structured-output", "tool-use", - "implicit-caching", "vision", - "structured-output", "open-weights" ], - "regions": ["us"], "supported_specifications": ["v2", "v3", "v4"], "modalities": { "input": ["text", "image"], @@ -7285,13 +7270,67 @@ }, { "type": "effort", - "values": ["none", "low", "medium", "high"] + "values": ["none", "low", "high", "max"] } ], "pricing": { - "input": "0.0000006", - "output": "0.0000024", - "input_cache_read": "0.000000014", + "input": "0.0000024", + "output": "0.0000096", + "input_cache_read": "0.000000048" + } + }, + { + "id": "deepseek/deepseek-v4.1-flash-fast", + "object": "model", + "created": 1755815280, + "released": 1790640000, + "owned_by": "deepseek", + "name": "DeepSeek V4.1 Flash Fast", + "description": "Higher-throughput variant of DeepSeek V4.1 Flash for responsive coding, reasoning, and agentic workloads.", + "context_window": 1048576, + "max_tokens": 32768, + "type": "language", + "zdr": "all", + "no_training": "all", + "tags": [ + "reasoning", + "tool-use", + "implicit-caching", + "vision", + "structured-output", + "open-weights" + ], + "regions": ["us"], + "supported_specifications": ["v2", "v3", "v4"], + "modalities": { + "input": ["text", "image"], + "output": ["text"] + }, + "supported_parameters": [ + "max_tokens", + "temperature", + "stop", + "tools", + "tool_choice", + "reasoning", + "include_reasoning", + "response_format", + "structured_outputs" + ], + "temperature": true, + "reasoning_options": [ + { + "type": "toggle" + }, + { + "type": "effort", + "values": ["none", "low", "medium", "high"] + } + ], + "pricing": { + "input": "0.0000006", + "output": "0.0000024", + "input_cache_read": "0.000000014", "regional": { "us": { "input": "0.0000006", @@ -7319,8 +7358,8 @@ "output": ["audio"] }, "pricing": { - "input": "0.00002", - "speech_input_character_cost": "0.00002" + "input": "0.00004", + "speech_input_character_cost": "0.00004" } }, { @@ -7341,8 +7380,8 @@ "output": ["audio"] }, "pricing": { - "input": "0.00002", - "speech_input_character_cost": "0.00002" + "input": "0.00004", + "speech_input_character_cost": "0.00004" } }, { @@ -7363,8 +7402,8 @@ "output": ["audio"] }, "pricing": { - "input": "0.00004", - "speech_input_character_cost": "0.00004" + "input": "0.00008", + "speech_input_character_cost": "0.00008" } }, { @@ -7388,10 +7427,10 @@ "supported_parameters": ["max_tokens", "temperature", "stop"], "temperature": true, "pricing": { - "input": "0.0000009", - "output": "0.0000045", - "input_cache_read": "0.00000009", - "realtime_session_duration_cost_per_second": "0.0006667" + "input": "0.0000018", + "output": "0.000009", + "input_cache_read": "0.00000018", + "realtime_session_duration_cost_per_second": "0.0013334" } }, { @@ -7415,10 +7454,10 @@ "supported_parameters": ["max_tokens", "temperature", "stop"], "temperature": true, "pricing": { - "input": "0.0000001", - "output": "0.000003", - "input_cache_read": "0.00000001", - "realtime_session_duration_cost_per_second": "0.0006667" + "input": "0.0000002", + "output": "0.000006", + "input_cache_read": "0.00000002", + "realtime_session_duration_cost_per_second": "0.0013334" } }, { @@ -7439,8 +7478,8 @@ "output": ["audio"] }, "pricing": { - "input": "0.00004", - "speech_input_character_cost": "0.00004" + "input": "0.00008", + "speech_input_character_cost": "0.00008" } }, { @@ -7461,8 +7500,8 @@ "output": ["audio"] }, "pricing": { - "input": "0.00002", - "speech_input_character_cost": "0.00002" + "input": "0.00004", + "speech_input_character_cost": "0.00004" } }, { @@ -7483,8 +7522,8 @@ "output": ["audio"] }, "pricing": { - "input": "0.00004", - "speech_input_character_cost": "0.00004" + "input": "0.00008", + "speech_input_character_cost": "0.00008" } }, { @@ -7505,8 +7544,8 @@ "output": ["audio"] }, "pricing": { - "input": "0.00002", - "speech_input_character_cost": "0.00002" + "input": "0.00004", + "speech_input_character_cost": "0.00004" } }, { @@ -7527,7 +7566,7 @@ "output": ["audio"] }, "pricing": { - "speech_output_cost_per_second": "0.00125" + "speech_output_cost_per_second": "0.0025" } }, { @@ -7548,7 +7587,7 @@ "output": ["audio"] }, "pricing": { - "speech_output_cost_per_second": "0.00125" + "speech_output_cost_per_second": "0.0025" } }, { @@ -7569,7 +7608,7 @@ }, "pricing": { "input": "0", - "transcription_duration_cost_per_second": "0.000030556" + "transcription_duration_cost_per_second": "0.000061112" } }, { @@ -7609,7 +7648,7 @@ "output": ["audio"] }, "pricing": { - "speech_output_cost_per_second": "0.001" + "speech_output_cost_per_second": "0.002" } }, { @@ -8066,7 +8105,8 @@ "values": ["none", "low", "medium", "high"] }, { - "type": "budget_tokens" + "type": "budget_tokens", + "min": 512 } ], "knowledge": "2025-01", @@ -8148,7 +8188,8 @@ "values": ["none", "low", "medium", "high"] }, { - "type": "budget_tokens" + "type": "budget_tokens", + "min": 512 } ], "knowledge": "2025-01", @@ -8199,15 +8240,13 @@ ], "temperature": true, "reasoning_options": [ - { - "type": "toggle" - }, { "type": "effort", - "values": ["none", "low", "medium", "high"] + "values": ["low", "medium", "high"] }, { - "type": "budget_tokens" + "type": "budget_tokens", + "min": 128 } ], "knowledge": "2025-01", @@ -8391,15 +8430,13 @@ ], "temperature": true, "reasoning_options": [ - { - "type": "toggle" - }, { "type": "effort", - "values": ["none", "low", "medium", "high"] + "values": ["low", "medium", "high"] }, { - "type": "budget_tokens" + "type": "budget_tokens", + "min": 128 } ], "knowledge": "2025-01", @@ -8482,9 +8519,12 @@ ], "temperature": true, "reasoning_options": [ + { + "type": "toggle" + }, { "type": "effort", - "values": ["low", "high"] + "values": ["minimal", "low", "medium", "high"] } ], "knowledge": "2025-03", @@ -8579,9 +8619,12 @@ ], "temperature": true, "reasoning_options": [ + { + "type": "toggle" + }, { "type": "effort", - "values": ["low", "high"] + "values": ["minimal", "low", "medium", "high"] } ], "knowledge": "2025-03", @@ -8662,7 +8705,7 @@ "reasoning_options": [ { "type": "effort", - "values": ["low", "high"] + "values": ["low", "medium", "high"] } ], "knowledge": "2025-01", @@ -8735,9 +8778,12 @@ ], "temperature": true, "reasoning_options": [ + { + "type": "toggle" + }, { "type": "effort", - "values": ["low", "high"] + "values": ["minimal", "high"] } ], "knowledge": "2025-01", @@ -8812,9 +8858,12 @@ ], "temperature": true, "reasoning_options": [ + { + "type": "toggle" + }, { "type": "effort", - "values": ["low", "high"] + "values": ["minimal", "low", "medium", "high"] } ], "knowledge": "2025-01", @@ -8889,9 +8938,12 @@ ], "temperature": true, "reasoning_options": [ + { + "type": "toggle" + }, { "type": "effort", - "values": ["low", "high"] + "values": ["minimal", "low", "medium", "high"] } ], "knowledge": "2025-01", @@ -8935,9 +8987,12 @@ ], "temperature": true, "reasoning_options": [ + { + "type": "toggle" + }, { "type": "effort", - "values": ["low", "high"] + "values": ["minimal", "high"] } ], "knowledge": "2025-01", @@ -9001,7 +9056,7 @@ "reasoning_options": [ { "type": "effort", - "values": ["low", "high"] + "values": ["low", "medium", "high"] } ], "knowledge": "2025-01", @@ -9109,7 +9164,7 @@ "reasoning_options": [ { "type": "effort", - "values": ["low", "high"] + "values": ["low", "medium", "high"] } ], "knowledge": "2025-01", @@ -9199,7 +9254,7 @@ }, { "type": "effort", - "values": ["none", "low", "medium", "high"] + "values": ["minimal", "low", "medium", "high"] } ], "knowledge": "2025-01", @@ -9279,7 +9334,7 @@ "reasoning_options": [ { "type": "effort", - "values": ["low", "high"] + "values": ["minimal", "low", "medium", "high"] } ], "knowledge": "2026-03", @@ -9357,7 +9412,7 @@ "reasoning_options": [ { "type": "effort", - "values": ["low", "high"] + "values": ["minimal", "low", "medium", "high"] } ], "knowledge": "2026-03", @@ -9386,7 +9441,7 @@ "reasoning_options": [ { "type": "effort", - "values": ["low", "high"] + "values": ["low", "medium", "high"] } ], "pricing": { @@ -9415,7 +9470,7 @@ "reasoning_options": [ { "type": "effort", - "values": ["low", "high"] + "values": ["low", "medium", "high"] } ], "pricing": { @@ -9465,9 +9520,12 @@ ], "temperature": true, "reasoning_options": [ + { + "type": "toggle" + }, { "type": "effort", - "values": ["low", "high"] + "values": ["minimal", "low", "medium", "high"] } ], "knowledge": "2026-03", @@ -9543,9 +9601,12 @@ ], "temperature": true, "reasoning_options": [ + { + "type": "toggle" + }, { "type": "effort", - "values": ["low", "high"] + "values": ["minimal", "low", "medium", "high"] } ], "knowledge": "2026-03", @@ -9597,12 +9658,9 @@ ], "temperature": true, "reasoning_options": [ - { - "type": "toggle" - }, { "type": "effort", - "values": ["none", "low", "medium", "high"] + "values": ["low", "medium", "high"] } ], "knowledge": "2026-03", @@ -9683,7 +9741,7 @@ "reasoning_options": [ { "type": "effort", - "values": ["low", "high"] + "values": ["low", "medium", "high"] } ], "pricing": { @@ -9737,7 +9795,7 @@ "reasoning_options": [ { "type": "effort", - "values": ["low", "high"] + "values": ["low", "medium", "high"] } ], "pricing": { @@ -9765,7 +9823,7 @@ "reasoning_options": [ { "type": "effort", - "values": ["low", "high"] + "values": ["low", "medium", "high"] } ], "pricing": { @@ -9804,7 +9862,7 @@ "reasoning_options": [ { "type": "effort", - "values": ["low", "high"] + "values": ["low", "medium", "high"] } ], "pricing": { @@ -9844,7 +9902,7 @@ "reasoning_options": [ { "type": "effort", - "values": ["low", "high"] + "values": ["low", "medium", "high"] } ], "pricing": { @@ -9912,11 +9970,80 @@ "input": "0.0000036", "output": "0.000018", "input_cache_read": "0.00000018" + } + }, + "regional": { + "eu": { + "input": "0.0000022", + "output": "0.000011", + "input_cache_read": "0.00000011" }, - "flex": { - "input": "0.000001", - "output": "0.000005", - "input_cache_read": "0.00000005" + "us": { + "input": "0.0000022", + "output": "0.000011", + "input_cache_read": "0.00000011" + } + } + } + }, + { + "id": "google/gemini-4-carbon", + "object": "model", + "created": 1755815280, + "released": 1794268800, + "owned_by": "google", + "name": "Gemini 4 Carbon", + "description": "Gemini 4 Carbon is Google’s reasoning model for complex software engineering, sustained agentic workflows, and cybersecurity defense. It combines a 1M-token context window with multimodal understanding, tool calling, and structured outputs for working across large codebases and documents. Carbon emphasizes reliable execution of multi-step plans, clearer handling of uncertainty, and identifying, validating, and remediating security vulnerabilities.", + "context_window": 1000000, + "max_tokens": 1000000, + "type": "language", + "zdr": "some", + "no_training": "all", + "tags": [ + "reasoning", + "file-input", + "vision", + "tool-use", + "web-search", + "implicit-caching", + "video-input", + "structured-output" + ], + "regions": ["eu", "us"], + "supported_specifications": ["v2", "v3", "v4"], + "modalities": { + "input": ["text", "image", "pdf", "video"], + "output": ["text"] + }, + "supported_parameters": [ + "max_tokens", + "temperature", + "stop", + "tools", + "tool_choice", + "reasoning", + "include_reasoning", + "response_format", + "structured_outputs" + ], + "temperature": true, + "reasoning_options": [ + { + "type": "effort", + "values": ["low", "medium", "high"] + } + ], + "pricing": { + "input": "0.000002", + "output": "0.00001", + "input_cache_read": "0.0000001", + "web_search": "14", + "maps_search": "14", + "service_tiers": { + "priority": { + "input": "0.0000036", + "output": "0.000018", + "input_cache_read": "0.00000018" } }, "regional": { @@ -9933,6 +10060,110 @@ } } }, + { + "id": "google/gemini-4-hydrogen", + "object": "model", + "created": 1755815280, + "released": 1794441600, + "owned_by": "google", + "name": "Gemini 4 Hydrogen", + "description": "Gemini 4 Hydrogen is Google's fast multimodal model for reasoning, coding, and agentic workflows. It supports understanding text, images, video, and documents, with tool calling and structured outputs for building responsive applications.", + "context_window": 1000000, + "max_tokens": 1000000, + "type": "language", + "zdr": "some", + "no_training": "all", + "tags": [ + "reasoning", + "file-input", + "vision", + "tool-use", + "web-search", + "implicit-caching", + "video-input", + "structured-output" + ], + "regions": ["eu", "us"], + "supported_specifications": ["v2", "v3", "v4"], + "modalities": { + "input": ["text", "image", "pdf", "video"], + "output": ["text"] + }, + "supported_parameters": [ + "max_tokens", + "temperature", + "stop", + "tools", + "tool_choice", + "reasoning", + "include_reasoning", + "response_format", + "structured_outputs" + ], + "temperature": true, + "reasoning_options": [ + { + "type": "effort", + "values": ["low", "medium", "high", "xhigh"] + } + ], + "pricing": { + "input": "0.0000015", + "output": "0.0000075", + "input_cache_read": "0.000000075", + "web_search": "14", + "maps_search": "14", + "service_tiers": { + "priority": { + "input": "0.0000027", + "output": "0.0000135", + "input_cache_read": "0.000000135" + } + }, + "regional": { + "eu": { + "input": "0.00000165", + "output": "0.00000825", + "input_cache_read": "0.0000000825" + }, + "us": { + "input": "0.00000165", + "output": "0.00000825", + "input_cache_read": "0.0000000825" + } + } + } + }, + { + "id": "google/gemini-decision-1", + "object": "model", + "created": 1755815280, + "released": 1794355200, + "owned_by": "google", + "name": "Gemini Decision 1", + "description": "Gemini Decisions is Google's evaluation model for classification, routing, and scoring. It answers structured questions with Boolean probabilities, choices, and scores, returning confidence values and probability distributions to help applications interpret the results. Developers can use it to triage support requests, categorize content, and evaluate inputs against defined criteria.", + "context_window": 262144, + "max_tokens": 0, + "type": "evaluation", + "zdr": "none", + "no_training": "all", + "tags": ["vision", "file-input"], + "supported_specifications": ["v4"], + "modalities": { + "input": ["text", "image", "pdf"], + "output": ["text"] + }, + "reasoning_options": [ + { + "type": "effort", + "values": ["low", "medium", "high"] + } + ], + "pricing": { + "input": "0.0000001", + "output": "0" + } + }, { "id": "google/gemini-embedding-001", "object": "model", @@ -10090,15 +10321,6 @@ "include_reasoning" ], "temperature": true, - "reasoning_options": [ - { - "type": "toggle" - }, - { - "type": "effort", - "values": ["none", "low", "medium", "high"] - } - ], "pricing": { "input": "0.0000015", "output": "0.000009" @@ -10140,15 +10362,6 @@ "structured_outputs" ], "temperature": true, - "reasoning_options": [ - { - "type": "toggle" - }, - { - "type": "effort", - "values": ["none", "low", "medium", "high"] - } - ], "pricing": { "input": "0.0000015", "output": "0.000009", @@ -10474,6 +10687,7 @@ "supported_resolutions": ["720p", "1080p"], "supported_aspect_ratios": ["9:16", "16:9"], "supported_durations_seconds": [4, 6, 8], + "generate_audio": true, "supported_fps": [24], "max_sample_count": 4, "input_limits": { @@ -10675,6 +10889,46 @@ ] } }, + { + "id": "humansand/ampersand-v0.1", + "object": "model", + "created": 1755815280, + "released": 1793923200, + "owned_by": "humansand", + "name": "Ampersand v0.1", + "description": "Ampersand v0.1 is a collaborator model from Humans& for shared goals, group conversations, and long-running collaboration. Its Responses API supports text, reasoning, client-side function tools, and implicit prompt caching.", + "context_window": 1000000, + "max_tokens": 32768, + "type": "language", + "zdr": "none", + "no_training": "none", + "tags": ["implicit-caching", "reasoning", "tool-use"], + "supported_specifications": ["v2", "v3", "v4"], + "modalities": { + "input": ["text"], + "output": ["text"] + }, + "supported_parameters": [ + "max_tokens", + "temperature", + "stop", + "tools", + "tool_choice", + "reasoning", + "include_reasoning" + ], + "temperature": true, + "reasoning_options": [ + { + "type": "effort", + "values": ["low", "medium", "high", "max"] + } + ], + "pricing": { + "input": "0", + "output": "0" + } + }, { "id": "inception/mercury-2", "object": "model", @@ -10800,6 +11054,7 @@ "values": ["instant", "low", "medium", "high"] } ], + "deprecated_at": 1798434300000, "pricing": { "input": "0.0000001", "output": "0.00000035", @@ -10893,14 +11148,8 @@ "max_tokens": 32000, "type": "language", "zdr": "none", - "no_training": "some", - "tags": [ - "implicit-caching", - "reasoning", - "tool-use", - "structured-output", - "open-weights" - ], + "no_training": "none", + "tags": ["reasoning", "tool-use", "open-weights"], "supported_specifications": ["v2", "v3", "v4"], "modalities": { "input": ["text"], @@ -10913,9 +11162,7 @@ "tools", "tool_choice", "reasoning", - "include_reasoning", - "response_format", - "structured_outputs" + "include_reasoning" ], "temperature": true, "reasoning_options": [ @@ -10926,8 +11173,7 @@ "pricing": { "input": "0.000000075", "output": "0.00000022", - "input_cache_read": "0.000000015", - "varies_by_provider": true + "input_cache_read": "0.000000015" } }, { @@ -11839,10 +12085,6 @@ "reasoning_options": [ { "type": "toggle" - }, - { - "type": "effort", - "values": ["none", "low", "medium", "high"] } ], "pricing": { @@ -11875,20 +12117,9 @@ "temperature", "stop", "tools", - "tool_choice", - "reasoning", - "include_reasoning" - ], - "temperature": true, - "reasoning_options": [ - { - "type": "toggle" - }, - { - "type": "effort", - "values": ["none", "low", "medium", "high"] - } + "tool_choice" ], + "temperature": true, "knowledge": "2023-12", "pricing": { "input": "0.00000072", @@ -11920,21 +12151,10 @@ "stop", "tools", "tool_choice", - "reasoning", - "include_reasoning", "response_format", "structured_outputs" ], "temperature": true, - "reasoning_options": [ - { - "type": "toggle" - }, - { - "type": "effort", - "values": ["none", "low", "medium", "high"] - } - ], "knowledge": "2023-12", "pricing": { "input": "0.00000022", @@ -11966,20 +12186,9 @@ "temperature", "stop", "tools", - "tool_choice", - "reasoning", - "include_reasoning" + "tool_choice" ], "temperature": true, - "reasoning_options": [ - { - "type": "toggle" - }, - { - "type": "effort", - "values": ["none", "low", "medium", "high"] - } - ], "knowledge": "2023-12", "pricing": { "input": "0.00000072", @@ -12010,20 +12219,9 @@ "temperature", "stop", "tools", - "tool_choice", - "reasoning", - "include_reasoning" + "tool_choice" ], "temperature": true, - "reasoning_options": [ - { - "type": "toggle" - }, - { - "type": "effort", - "values": ["none", "low", "medium", "high"] - } - ], "knowledge": "2024-08", "pricing": { "input": "0.00000024", @@ -12049,6 +12247,49 @@ "input": ["text", "image"], "output": ["text"] }, + "supported_parameters": [ + "max_tokens", + "temperature", + "stop", + "tools", + "tool_choice", + "response_format", + "structured_outputs" + ], + "temperature": true, + "knowledge": "2024-08", + "pricing": { + "input": "0.00000017", + "output": "0.00000066", + "varies_by_provider": true + } + }, + { + "id": "meta/muse-ember", + "object": "model", + "created": 1755815280, + "released": 1794182400, + "owned_by": "meta", + "name": "Muse Ember", + "description": "Muse Ember is Meta’s multimodal language model for conversational, reasoning, and agentic applications. It supports text and image understanding, tool calling, structured outputs, and document input, with a 1,048,576-token context window for working with large prompts and extended conversations. Implicit prompt caching supports reuse of shared input across requests.", + "context_window": 1048576, + "max_tokens": 1048576, + "type": "language", + "zdr": "all", + "no_training": "all", + "tags": [ + "reasoning", + "tool-use", + "implicit-caching", + "file-input", + "vision", + "structured-output" + ], + "supported_specifications": ["v2", "v3", "v4"], + "modalities": { + "input": ["text", "image", "pdf"], + "output": ["text"] + }, "supported_parameters": [ "max_tokens", "temperature", @@ -12062,19 +12303,15 @@ ], "temperature": true, "reasoning_options": [ - { - "type": "toggle" - }, { "type": "effort", - "values": ["none", "low", "medium", "high"] + "values": ["minimal", "low", "medium", "high", "xhigh", "max"] } ], - "knowledge": "2024-08", "pricing": { - "input": "0.00000017", - "output": "0.00000066", - "varies_by_provider": true + "input": "0.0000001", + "output": "0.0000005", + "input_cache_read": "0.000000004" } }, { @@ -12808,6 +13045,64 @@ ] } }, + { + "id": "minimax/minimax-h3-image", + "object": "model", + "created": 1755815280, + "released": 1794268800, + "owned_by": "minimax", + "name": "MiniMax H3 Image", + "description": "MiniMax H3 Image generates images from text and edits images using up to 16 reference images. It supports custom dimensions and aspect ratios, outputs up to 20 megapixels, and JPEG, PNG, and WebP formats.", + "context_window": 0, + "max_tokens": 0, + "type": "image", + "zdr": "none", + "no_training": "none", + "tags": ["image-generation", "vision", "open-weights"], + "supported_specifications": ["v3", "v4"], + "modalities": { + "input": ["text", "image"], + "output": ["image"] + }, + "reasoning_options": [ + { + "type": "budget_tokens" + } + ], + "pricing": { + "input": "0.0000023", + "output": "0.0000038" + } + }, + { + "id": "minimax/minimax-h3-image-highspeed", + "object": "model", + "created": 1755815280, + "released": 1794268800, + "owned_by": "minimax", + "name": "MiniMax H3 Image Highspeed", + "description": "MiniMax H3 Image Highspeed is the faster variant of MiniMax H3 Image for text-to-image generation and image editing. It supports up to 16 reference images, custom dimensions and aspect ratios, outputs up to 20 megapixels, and JPEG, PNG, and WebP formats.", + "context_window": 0, + "max_tokens": 0, + "type": "image", + "zdr": "none", + "no_training": "none", + "tags": ["image-generation", "vision", "open-weights"], + "supported_specifications": ["v3", "v4"], + "modalities": { + "input": ["text", "image"], + "output": ["image"] + }, + "reasoning_options": [ + { + "type": "budget_tokens" + } + ], + "pricing": { + "input": "0.0000023", + "output": "0.0000076" + } + }, { "id": "minimax/minimax-h3-max", "object": "model", @@ -12841,6 +13136,7 @@ "supported_resolutions": ["480p", "768p"], "supported_aspect_ratios": ["21:9", "16:9", "4:3", "1:1", "3:4", "9:16"], "supported_durations_seconds": [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], + "generate_audio": true, "supported_fps": [24], "max_sample_count": 1, "input_limits": { @@ -13251,8 +13547,8 @@ "owned_by": "minimax", "name": "MiniMax M3", "description": "MiniMax-M3 is a frontier-class foundation model that unites the three capabilities defining today's frontier: a 1M-token context window, frontier coding and agentic performance, and native multimodality — the first open-weight model to deliver all three in a single system.", - "context_window": 512000, - "max_tokens": 512000, + "context_window": 1000000, + "max_tokens": 1000000, "type": "language", "zdr": "some", "no_training": "some", @@ -13283,14 +13579,50 @@ ], "temperature": true, "reasoning_options": [ + { + "type": "toggle" + }, { "type": "budget_tokens" } ], "pricing": { "input": "0.0000003", + "input_tiers": [ + { + "cost": "0.0000003", + "min": 0, + "max": 512000 + }, + { + "cost": "0.0000012", + "min": 512000 + } + ], "output": "0.0000012", + "output_tiers": [ + { + "cost": "0.0000012", + "min": 0, + "max": 512000 + }, + { + "cost": "0.0000048", + "min": 512000 + } + ], "input_cache_read": "0.00000006", + "input_cache_read_tiers": [ + { + "cost": "0.00000006", + "min": 0, + "max": 512000 + }, + { + "cost": "0.00000024", + "min": 512000 + } + ], "varies_by_provider": true } }, @@ -13301,9 +13633,9 @@ "released": 1792368000, "owned_by": "minimax", "name": "MiniMax-M3.1-Flash", - "description": "MiniMax-M3.1-Flash is MiniMax’s multimodal M-series model for agent reasoning, tool use, coding, and long-context tasks. Fireworks serves the final weights with hybrid MXFP8 and NVFP4 expert precision, text and image inputs, structured outputs, and implicit prompt caching.", - "context_window": 1048576, - "max_tokens": 1048576, + "description": "MiniMax-M3.1-Flash is MiniMax's M-series language model for agent reasoning, tool use, coding, and long-context tasks, with a 1,000,000-token context window. Compared with MiniMax-M3, it adds always-on reasoning and adjustable reasoning effort, allowing developers to tune reasoning effort for different tasks.", + "context_window": 1000000, + "max_tokens": 524288, "type": "language", "zdr": "some", "no_training": "some", @@ -14143,9 +14475,9 @@ "input_cache_read": "0.0000003", "varies_by_provider": true, "fast": { - "input": "0.0000045", + "input": "0.000006", "output": "0.0000225", - "input_cache_read": "0.00000045" + "input_cache_read": "0.0000006" }, "regional": { "us": { @@ -14165,7 +14497,7 @@ "name": "Kimi K3 Fast", "description": "Fast version of Kimi’s flagship model for long-horizon coding and end-to-end knowledge work, with a 1M-token context window.", "context_window": 1000000, - "max_tokens": 131072, + "max_tokens": 1000000, "type": "language", "zdr": "all", "no_training": "all", @@ -14204,9 +14536,9 @@ } ], "pricing": { - "input": "0.0000045", + "input": "0.000006", "output": "0.0000225", - "input_cache_read": "0.00000045", + "input_cache_read": "0.0000006", "varies_by_provider": true } }, @@ -14276,13 +14608,14 @@ "released": 1792713600, "owned_by": "moonshotai", "name": "Kimi K3.1 Pro Highspeed", - "description": "Kimi K3.1 Pro Highspeed is the high-speed variant of Moonshot AI’s frontier Kimi K3.1 Pro model for complex reasoning, coding, and agentic workflows, with vision, tool use, structured outputs, and long-context support.", + "description": "Kimi K3.1 Pro Highspeed is Moonshot AI's most capable open-weight model, combining native vision with a 1-million-token context window for long-running coding and knowledge workflows that sustain context across large repositories, documents, and images.", "context_window": 1048576, "max_tokens": 1048576, "type": "language", "zdr": "all", "no_training": "all", "tags": [ + "explicit-caching", "implicit-caching", "reasoning", "structured-output", @@ -14290,6 +14623,7 @@ "vision", "open-weights" ], + "regions": ["us"], "supported_specifications": ["v2", "v3", "v4"], "modalities": { "input": ["text", "image"], @@ -14317,7 +14651,16 @@ "input": "0.000004", "output": "0.00002", "input_cache_read": "0.0000002", - "input_cache_write": "0.000004" + "input_cache_write": "0.000005", + "varies_by_provider": true, + "regional": { + "us": { + "input": "0.0000044", + "output": "0.000022", + "input_cache_read": "0.00000022", + "input_cache_write": "0.0000055" + } + } } }, { @@ -14383,47 +14726,93 @@ } }, { - "id": "nvidia/nemotron-3-nano-30b-a3b", + "id": "nace-ai/drex-max-finance", "object": "model", "created": 1755815280, - "released": 1765756800, - "owned_by": "nvidia", - "name": "Nemotron 3 Nano 30B A3B", - "description": "NVIDIA Nemotron 3 Nano is an open reasoning model optimized for fast, cost-efficient inference. Built with a hybrid MoE and Mamba architecture and trained on NVIDIA-curated synthetic reasoning data, it delivers strong multi-step reasoning with stable latency and predictable performance for agentic and production workloads.", + "released": 1794182400, + "owned_by": "nace-ai", + "name": "Drex Max Finance", + "description": "Drex Max Finance is Nace AI's multimodal evaluation model for financial workflows. It answers boolean, choice, and score questions over text and images with calibrated probabilities. Its 262,144-token limit covers the whole request, including shared state, images, questions, formatting, and decision markers.", "context_window": 262144, - "max_tokens": 262144, - "type": "language", + "max_tokens": 0, + "type": "evaluation", "zdr": "none", - "no_training": "all", - "tags": ["reasoning", "tool-use", "open-weights"], - "supported_specifications": ["v2", "v3", "v4"], + "no_training": "none", + "tags": ["vision", "open-weights"], + "regions": ["us"], + "supported_specifications": ["v4"], "modalities": { - "input": ["text"], + "input": ["text", "image"], "output": ["text"] }, - "supported_parameters": [ - "max_tokens", - "temperature", - "stop", - "tools", - "tool_choice", - "reasoning", - "include_reasoning" - ], - "temperature": true, - "reasoning_options": [ - { - "type": "toggle" - }, - { - "type": "effort", - "values": ["none", "low", "medium", "high"] + "pricing": { + "input": "0.00000003", + "output": "0", + "regional": { + "us": { + "input": "0.00000003" + } } - ], + } + }, + { + "id": "nace-ai/drex-max-v1.1", + "object": "model", + "created": 1755815280, + "released": 1794182400, + "owned_by": "nace-ai", + "name": "Drex Max v1.1", + "description": "Drex Max v1.1 is Nace AI's multimodal evaluation model for boolean, choice, and score questions over text and images. It returns structured answers and probability distributions. Its 262,144-token limit applies to the whole packed request, including shared state, images, all questions, formatting, and decision markers.", + "context_window": 262144, + "max_tokens": 0, + "type": "evaluation", + "zdr": "none", + "no_training": "none", + "tags": ["vision", "open-weights"], + "regions": ["us"], + "supported_specifications": ["v4"], + "modalities": { + "input": ["text", "image"], + "output": ["text"] + }, + "pricing": { + "input": "0.00000003", + "output": "0", + "regional": { + "us": { + "input": "0.00000003" + } + } + } + }, + { + "id": "nace-ai/drex-v2.0", + "object": "model", + "created": 1755815280, + "released": 1794182400, + "owned_by": "nace-ai", + "name": "Drex 2.0", + "description": "Drex 2.0 is Nace AI's text evaluation model for boolean, choice, and score questions over shared text or JSON state. It returns calibrated probabilities for routing, classification, and scoring, with a 131,072-token state limit and a 262,144-token limit for the state plus the longest question.", + "context_window": 262144, + "max_tokens": 0, + "type": "evaluation", + "zdr": "none", + "no_training": "none", + "tags": ["open-weights"], + "regions": ["us"], + "supported_specifications": ["v4"], + "modalities": { + "input": ["text"], + "output": ["text"] + }, "pricing": { - "input": "0.00000005", - "output": "0.0000002", - "input_cache_read": "0.000000025" + "input": "0.00000003", + "output": "0", + "regional": { + "us": { + "input": "0.00000003" + } + } } }, { @@ -14457,15 +14846,6 @@ "structured_outputs" ], "temperature": true, - "reasoning_options": [ - { - "type": "toggle" - }, - { - "type": "effort", - "values": ["none", "low", "medium", "high"] - } - ], "pricing": { "input": "0.00000015", "output": "0.00000065" @@ -14539,11 +14919,11 @@ "released": 1786406400, "owned_by": "nvidia", "name": "Nemotron 3.5 Lightning 30B", - "description": "NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4 is a large language model (LLM) trained by NVIDIA.\n\nThe model employs a hybrid Mixture-of-Experts architecture, utilizing interleaved Mamba-2 and MoE layers, along with select Attention layers. The Lightning 3.5 model is released alongside a number of speculative decoding methods for faster text generation. The model has 3B active parameters and 30B parameters in total.", + "description": "NVIDIA Nemotron 3.5 Lightning is NVIDIA's fastest open model for always-on agents and high-volume specialized tasks. It delivers a substantial leap in agentic capability over its predecessor Nemotron 3 Nano, with up to 4x higher throughput on a 1M-token context.", "context_window": 262144, "max_tokens": 131072, "type": "language", - "zdr": "some", + "zdr": "none", "no_training": "some", "tags": [ "reasoning", @@ -14579,9 +14959,9 @@ } ], "pricing": { - "input": "0.00000005", - "output": "0.0000002", - "input_cache_read": "0.00000001", + "input": "0.00000006", + "output": "0.00000016", + "input_cache_read": "0.00000003", "varies_by_provider": true } }, @@ -14728,15 +15108,6 @@ "include_reasoning" ], "temperature": true, - "reasoning_options": [ - { - "type": "toggle" - }, - { - "type": "effort", - "values": ["none", "low", "medium", "high"] - } - ], "pricing": { "input": "0.0000002", "output": "0.0000006" @@ -14771,15 +15142,6 @@ "include_reasoning" ], "temperature": true, - "reasoning_options": [ - { - "type": "toggle" - }, - { - "type": "effort", - "values": ["none", "low", "medium", "high"] - } - ], "pricing": { "input": "0.00000006", "output": "0.00000023" @@ -16138,12 +16500,9 @@ ], "temperature": true, "reasoning_options": [ - { - "type": "toggle" - }, { "type": "effort", - "values": ["none", "low", "medium", "high"] + "values": ["low", "medium", "high"] } ], "knowledge": "2024-09-30", @@ -16194,12 +16553,9 @@ ], "temperature": true, "reasoning_options": [ - { - "type": "toggle" - }, { "type": "effort", - "values": ["none", "low", "medium", "high"] + "values": ["low", "medium", "high", "xhigh"] } ], "knowledge": "2024-09-30", @@ -16250,12 +16606,9 @@ ], "temperature": true, "reasoning_options": [ - { - "type": "toggle" - }, { "type": "effort", - "values": ["none", "low", "medium", "high"] + "values": ["low", "medium", "high"] } ], "knowledge": "2024-09-30", @@ -16312,7 +16665,7 @@ }, { "type": "effort", - "values": ["none", "minimal", "low", "medium", "high", "xhigh"] + "values": ["none", "low", "medium", "high"] } ], "knowledge": "2024-09-30", @@ -16387,7 +16740,7 @@ }, { "type": "effort", - "values": ["none", "minimal", "low", "medium", "high", "xhigh"] + "values": ["none", "low", "medium", "high"] } ], "knowledge": "2024-09-30", @@ -16445,7 +16798,7 @@ }, { "type": "effort", - "values": ["none", "minimal", "low", "medium", "high", "xhigh"] + "values": ["none", "low", "medium", "high", "xhigh"] } ], "knowledge": "2025-08-31", @@ -16518,7 +16871,7 @@ }, { "type": "effort", - "values": ["none", "minimal", "low", "medium", "high", "xhigh"] + "values": ["none", "low", "medium", "high", "xhigh"] } ], "knowledge": "2025-08-31", @@ -16568,12 +16921,9 @@ ], "temperature": true, "reasoning_options": [ - { - "type": "toggle" - }, { "type": "effort", - "values": ["none", "low", "medium", "high"] + "values": ["low", "medium", "high", "xhigh"] } ], "knowledge": "2025-08-31", @@ -16631,7 +16981,7 @@ }, { "type": "effort", - "values": ["none", "minimal", "low", "medium", "high", "xhigh"] + "values": ["none", "low", "medium", "high", "xhigh"] } ], "knowledge": "2025-08-31", @@ -16740,7 +17090,7 @@ }, { "type": "effort", - "values": ["none", "minimal", "low", "medium", "high", "xhigh"] + "values": ["none", "low", "medium", "high", "xhigh"] } ], "knowledge": "2025-08-31", @@ -16810,7 +17160,7 @@ }, { "type": "effort", - "values": ["none", "minimal", "low", "medium", "high", "xhigh"] + "values": ["none", "low", "medium", "high", "xhigh"] } ], "knowledge": "2025-08-31", @@ -16869,7 +17219,7 @@ }, { "type": "effort", - "values": ["none", "minimal", "low", "medium", "high", "xhigh"] + "values": ["none", "low", "medium", "high", "xhigh"] } ], "knowledge": "2025-08-31", @@ -17025,7 +17375,7 @@ }, { "type": "effort", - "values": ["none", "minimal", "low", "medium", "high", "xhigh"] + "values": ["none", "low", "medium", "high", "xhigh"] } ], "knowledge": "2025-08-31", @@ -17116,7 +17466,7 @@ }, { "type": "effort", - "values": ["none", "minimal", "low", "medium", "high", "xhigh"] + "values": ["none", "low", "medium", "high", "xhigh"] } ], "knowledge": "2025-08-31", @@ -17182,7 +17532,7 @@ }, { "type": "effort", - "values": ["none", "minimal", "low", "medium", "high", "xhigh"] + "values": ["none", "low", "medium", "high", "xhigh"] } ], "knowledge": "2025-08-31", @@ -17266,7 +17616,7 @@ }, { "type": "effort", - "values": ["none", "minimal", "low", "medium", "high", "xhigh"] + "values": ["none", "low", "medium", "high", "xhigh"] } ], "knowledge": "2025-08-31", @@ -17324,7 +17674,7 @@ }, { "type": "effort", - "values": ["none", "minimal", "low", "medium", "high", "xhigh"] + "values": ["none", "low", "medium", "high", "xhigh"] } ], "knowledge": "2025-08-31", @@ -17389,7 +17739,7 @@ }, { "type": "effort", - "values": ["none", "minimal", "low", "medium", "high", "xhigh"] + "values": ["none", "low", "medium", "high", "xhigh"] } ], "knowledge": "2025-08-31", @@ -17458,7 +17808,7 @@ }, { "type": "effort", - "values": ["none", "minimal", "low", "medium", "high", "xhigh"] + "values": ["none", "low", "medium", "high", "xhigh"] } ], "knowledge": "2025-08-31", @@ -17508,12 +17858,9 @@ ], "temperature": true, "reasoning_options": [ - { - "type": "toggle" - }, { "type": "effort", - "values": ["none", "minimal", "low", "medium", "high", "xhigh"] + "values": ["medium", "high", "xhigh"] } ], "knowledge": "2025-08-31", @@ -17632,7 +17979,7 @@ }, { "type": "effort", - "values": ["none", "minimal", "low", "medium", "high", "xhigh"] + "values": ["none", "low", "medium", "high", "xhigh"] } ], "knowledge": "2025-12-01", @@ -17789,7 +18136,7 @@ }, { "type": "effort", - "values": ["none", "minimal", "low", "medium", "high", "xhigh"] + "values": ["none", "low", "medium", "high", "xhigh"] } ], "knowledge": "2025-12-01", @@ -17879,7 +18226,7 @@ }, { "type": "effort", - "values": ["none", "minimal", "low", "medium", "high", "xhigh"] + "values": ["none", "low", "medium", "high", "xhigh"] } ], "knowledge": "2025-12-01", @@ -18759,7 +19106,7 @@ }, { "type": "effort", - "values": ["none", "minimal", "low", "medium", "high", "xhigh", "max"] + "values": ["none", "low", "medium", "high", "xhigh", "max"] } ], "knowledge": "2026-02-16", @@ -19087,7 +19434,7 @@ }, { "type": "effort", - "values": ["none", "minimal", "low", "medium", "high", "xhigh", "max"] + "values": ["none", "low", "medium", "high", "xhigh", "max"] } ], "knowledge": "2026-02-16", @@ -19190,7 +19537,7 @@ }, { "type": "effort", - "values": ["none", "minimal", "low", "medium", "high", "xhigh", "max"] + "values": ["none", "low", "medium", "high", "xhigh", "max"] } ], "knowledge": "2026-02-16", @@ -19397,7 +19744,7 @@ }, { "type": "effort", - "values": ["none", "minimal", "low", "medium", "high", "xhigh", "max"] + "values": ["none", "low", "medium", "high", "xhigh", "max"] } ], "knowledge": "2026-02-16", @@ -19724,7 +20071,7 @@ }, { "type": "effort", - "values": ["none", "minimal", "low", "medium", "high", "xhigh", "max"] + "values": ["none", "low", "medium", "high", "xhigh", "max"] } ], "knowledge": "2026-02-16", @@ -19827,7 +20174,7 @@ }, { "type": "effort", - "values": ["none", "minimal", "low", "medium", "high", "xhigh", "max"] + "values": ["none", "low", "medium", "high", "xhigh", "max"] } ], "knowledge": "2026-02-16", @@ -24314,6 +24661,82 @@ "transcription_duration_cost_per_second": "0.0001" } }, + { + "id": "paperinstruments/ultramarine-1-flash", + "object": "model", + "created": 1755815280, + "released": 1794441600, + "owned_by": "paperinstruments", + "name": "Ultramarine 1 Flash", + "description": "Ultramarine 1 Flash is an open-weight multimodal reasoning model from Paper Instruments, post-trained from GLM-5.3 Flash for knowledge work in enterprise operations, finance, law, and consulting. It supports long-context document analysis and agentic workflows.", + "context_window": 1048576, + "max_tokens": 131000, + "type": "language", + "zdr": "all", + "no_training": "all", + "tags": [ + "implicit-caching", + "reasoning", + "structured-output", + "tool-use", + "vision", + "open-weights" + ], + "supported_specifications": ["v2", "v3", "v4"], + "modalities": { + "input": ["text", "image"], + "output": ["text"] + }, + "supported_parameters": [ + "max_tokens", + "temperature", + "stop", + "tools", + "tool_choice", + "reasoning", + "include_reasoning", + "response_format", + "structured_outputs" + ], + "temperature": true, + "reasoning_options": [ + { + "type": "effort", + "values": ["low", "high", "max"] + }, + { + "type": "budget_tokens", + "min": 1024 + } + ], + "pricing": { + "input": "0.00000015", + "output": "0.0000005", + "input_cache_read": "0.00000003" + } + }, + { + "id": "parallel/parallel-decisions-fast", + "object": "model", + "created": 1755815280, + "released": 1794528000, + "owned_by": "parallel", + "name": "Decisions Fast", + "description": "Decisions Fast is Parallel AI’s evaluation model for fast classification and scoring grounded in live web evidence. It answers yes/no, multiple-choice, and ordered scoring questions with probabilities and citations. Each request supports up to 100 related questions sharing the same context and retrieved evidence, with flat per-request pricing.", + "context_window": 32000, + "max_tokens": 0, + "type": "evaluation", + "zdr": "none", + "no_training": "all", + "supported_specifications": ["v4"], + "modalities": { + "input": ["text"], + "output": ["text"] + }, + "pricing": { + "request": "0" + } + }, { "id": "particle/particle-1", "object": "model", @@ -24396,7 +24819,33 @@ }, "pricing": { "input": "0.00000001", - "output": "0" + "output": "0", + "web_search": "1" + } + }, + { + "id": "perplexity/pplx-decider-flash-v1.3", + "object": "model", + "created": 1755815280, + "released": 1794441600, + "owned_by": "perplexity", + "name": "Decider Flash V1.3", + "description": "Perplexity Decider Flash V1.3 is a multimodal decision model for high-volume classification, routing, labeling, and filtering. It evaluates text, structured JSON, and images against yes/no questions, custom choices, and ordered rubrics, returning typed answers with probabilities. It supports a 256K context window.", + "context_window": 262144, + "max_tokens": 0, + "type": "evaluation", + "zdr": "none", + "no_training": "all", + "tags": ["vision", "open-weights"], + "supported_specifications": ["v4"], + "modalities": { + "input": ["text", "image"], + "output": ["text"] + }, + "pricing": { + "input": "0.00000001", + "output": "0", + "web_search": "1" } }, { @@ -24420,39 +24869,42 @@ }, "pricing": { "input": "0.00000002", - "output": "0" + "output": "0", + "web_search": "1" } }, { - "id": "perplexity/pplx-embed-v1-0.6b", + "id": "perplexity/pplx-decider-v1.3", "object": "model", "created": 1755815280, - "released": 1772064000, + "released": 1794441600, "owned_by": "perplexity", - "name": "Embed v1 0.6b", - "description": "pplx-embed-v1 is a state-of-the-art text embedding model optimized for real-world, web-scale retrieval tasks.", - "context_window": 32000, + "name": "Decider V1.3", + "description": "Perplexity Decider V1.3 is a multimodal decision model for classification, routing, and scoring. It evaluates text, structured JSON, and images against yes/no questions, custom choices, and ordered rubrics, returning typed answers with probabilities. It supports multiple questions over shared content and a 256K context window.", + "context_window": 262144, "max_tokens": 0, - "type": "embedding", + "type": "evaluation", "zdr": "none", "no_training": "all", - "tags": ["open-weights"], - "supported_specifications": ["v2", "v3", "v4"], + "tags": ["vision", "open-weights"], + "supported_specifications": ["v4"], "modalities": { - "input": ["text"], + "input": ["text", "image"], "output": ["text"] }, "pricing": { - "input": "0.000000004" + "input": "0.00000002", + "output": "0", + "web_search": "1" } }, { - "id": "perplexity/pplx-embed-v1-4b", + "id": "perplexity/pplx-embed-v1-0.6b", "object": "model", "created": 1755815280, "released": 1772064000, "owned_by": "perplexity", - "name": "Embed v1 4b", + "name": "Embed v1 0.6b", "description": "pplx-embed-v1 is a state-of-the-art text embedding model optimized for real-world, web-scale retrieval tasks.", "context_window": 32000, "max_tokens": 0, @@ -24466,91 +24918,73 @@ "output": ["text"] }, "pricing": { - "input": "0.00000003" + "input": "0.000000004" } }, { - "id": "perplexity/sonar", + "id": "perplexity/pplx-embed-v1-4b", "object": "model", "created": 1755815280, - "released": 1739923200, + "released": 1772064000, "owned_by": "perplexity", - "name": "Sonar", - "description": "Perplexity's lightweight offering with search grounding, quicker and cheaper than Sonar Pro.", - "context_window": 127000, - "max_tokens": 8000, - "type": "language", + "name": "Embed v1 4b", + "description": "pplx-embed-v1 is a state-of-the-art text embedding model optimized for real-world, web-scale retrieval tasks.", + "context_window": 32000, + "max_tokens": 0, + "type": "embedding", "zdr": "none", "no_training": "all", - "tags": ["vision", "web-search", "structured-output", "reasoning"], + "tags": ["open-weights"], "supported_specifications": ["v2", "v3", "v4"], "modalities": { - "input": ["text", "image"], + "input": ["text"], "output": ["text"] }, - "supported_parameters": [ - "max_tokens", - "temperature", - "stop", - "reasoning", - "include_reasoning", - "response_format", - "structured_outputs" - ], - "temperature": true, - "reasoning_options": [ - { - "type": "effort", - "values": ["none", "minimal", "low", "medium", "high", "xhigh"] - } - ], - "knowledge": "2025-02", "pricing": { - "input": "0.00000025", - "output": "0.0000025", - "input_cache_write": "0.0000000625", - "web_search": "2.5" + "input": "0.00000003" } }, { - "id": "poolside/laguna-s-2.1", + "id": "perplexity/sonar", "object": "model", "created": 1755815280, - "released": 1784505600, - "owned_by": "poolside", - "name": "Laguna S 2.1", - "description": "Laguna S 2.1 is Poolside's new open-weight model for agentic coding and long-horizon work.", - "context_window": 1000000, - "max_tokens": 131072, + "released": 1739923200, + "owned_by": "perplexity", + "name": "Sonar", + "description": "Perplexity's lightweight offering with search grounding, quicker and cheaper than Sonar Pro.", + "context_window": 127000, + "max_tokens": 8000, "type": "language", "zdr": "none", - "no_training": "none", - "tags": ["reasoning", "tool-use", "open-weights"], + "no_training": "all", + "tags": ["vision", "web-search", "structured-output", "reasoning"], "supported_specifications": ["v2", "v3", "v4"], "modalities": { - "input": ["text"], + "input": ["text", "image"], "output": ["text"] }, "supported_parameters": [ "max_tokens", "temperature", "stop", - "tools", - "tool_choice", "reasoning", - "include_reasoning" + "include_reasoning", + "response_format", + "structured_outputs" ], "temperature": true, "reasoning_options": [ { - "type": "toggle" + "type": "effort", + "values": ["none", "minimal", "low", "medium", "high", "xhigh"] } ], - "deprecated_at": 1794528000000, + "knowledge": "2025-02", "pricing": { - "input": "0.00000009", - "output": "0.00000018", - "input_cache_read": "0.000000009" + "input": "0.00000025", + "output": "0.0000025", + "input_cache_write": "0.0000000625", + "web_search": "2.5" } }, { @@ -25411,12 +25845,9 @@ ], "temperature": true, "reasoning_options": [ - { - "type": "toggle" - }, { "type": "effort", - "values": ["none", "low", "medium", "high"] + "values": ["low", "medium", "high"] } ], "pricing": { @@ -25511,12 +25942,9 @@ ], "temperature": true, "reasoning_options": [ - { - "type": "toggle" - }, { "type": "effort", - "values": ["none", "low", "medium", "high"] + "values": ["low", "medium", "high"] } ], "pricing": { @@ -25598,12 +26026,9 @@ ], "temperature": true, "reasoning_options": [ - { - "type": "toggle" - }, { "type": "effort", - "values": ["none", "low", "medium", "high"] + "values": ["low", "medium", "high"] } ], "pricing": { @@ -25678,21 +26103,10 @@ "stop", "tools", "tool_choice", - "reasoning", - "include_reasoning", "response_format", "structured_outputs" ], "temperature": true, - "reasoning_options": [ - { - "type": "toggle" - }, - { - "type": "effort", - "values": ["none", "low", "medium", "high"] - } - ], "pricing": { "input": "0.00000125", "input_tiers": [ @@ -25778,21 +26192,10 @@ "stop", "tools", "tool_choice", - "reasoning", - "include_reasoning", "response_format", "structured_outputs" ], "temperature": true, - "reasoning_options": [ - { - "type": "toggle" - }, - { - "type": "effort", - "values": ["none", "low", "medium", "high"] - } - ], "pricing": { "input": "0.000001", "input_tiers": [ @@ -25864,21 +26267,10 @@ "stop", "tools", "tool_choice", - "reasoning", - "include_reasoning", "response_format", "structured_outputs" ], "temperature": true, - "reasoning_options": [ - { - "type": "toggle" - }, - { - "type": "effort", - "values": ["none", "low", "medium", "high"] - } - ], "pricing": { "input": "0.00000125", "input_tiers": [ @@ -25953,15 +26345,6 @@ "structured_outputs" ], "temperature": true, - "reasoning_options": [ - { - "type": "toggle" - }, - { - "type": "effort", - "values": ["none", "low", "medium", "high"] - } - ], "pricing": { "input": "0.00000125", "input_tiers": [ @@ -26054,15 +26437,6 @@ "structured_outputs" ], "temperature": true, - "reasoning_options": [ - { - "type": "toggle" - }, - { - "type": "effort", - "values": ["none", "low", "medium", "high"] - } - ], "pricing": { "input": "0.000001", "input_tiers": [ @@ -26141,15 +26515,6 @@ "structured_outputs" ], "temperature": true, - "reasoning_options": [ - { - "type": "toggle" - }, - { - "type": "effort", - "values": ["none", "low", "medium", "high"] - } - ], "pricing": { "input": "0.00000125", "input_tiers": [ @@ -26783,15 +27148,6 @@ "structured_outputs" ], "temperature": true, - "reasoning_options": [ - { - "type": "toggle" - }, - { - "type": "effort", - "values": ["none", "low", "medium", "high"] - } - ], "pricing": { "input": "0.000001", "input_tiers": [ @@ -26864,15 +27220,6 @@ "input": ["text"], "output": ["image"] }, - "reasoning_options": [ - { - "type": "toggle" - }, - { - "type": "effort", - "values": ["none", "low", "medium", "high"] - } - ], "pricing": { "image": "0.02" } @@ -26896,15 +27243,6 @@ "input": ["text"], "output": ["image"] }, - "reasoning_options": [ - { - "type": "toggle" - }, - { - "type": "effort", - "values": ["none", "low", "medium", "high"] - } - ], "pricing": { "image": "0.06", "image_dimension_quality_pricing": [ @@ -26942,15 +27280,6 @@ "input": ["text"], "output": ["video"] }, - "reasoning_options": [ - { - "type": "toggle" - }, - { - "type": "effort", - "values": ["none", "low", "medium", "high"] - } - ], "video_capabilities": { "supported_operations": [ "text-to-video", @@ -26972,7 +27301,7 @@ "supported_durations_seconds": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 ], - "generate_audio": false, + "generate_audio": true, "supported_fps": [24], "input_limits": { "image": { @@ -27019,15 +27348,6 @@ "input": ["text"], "output": ["video"] }, - "reasoning_options": [ - { - "type": "toggle" - }, - { - "type": "effort", - "values": ["none", "low", "medium", "high"] - } - ], "video_capabilities": { "supported_operations": [ "image-to-video", @@ -27094,15 +27414,6 @@ "input": ["text"], "output": ["video"] }, - "reasoning_options": [ - { - "type": "toggle" - }, - { - "type": "effort", - "values": ["none", "low", "medium", "high"] - } - ], "video_capabilities": { "supported_operations": ["text-to-video", "image-to-video"], "supported_resolutions": ["480p", "720p", "1080p"], @@ -27164,15 +27475,6 @@ "input": ["audio"], "output": ["text"] }, - "reasoning_options": [ - { - "type": "toggle" - }, - { - "type": "effort", - "values": ["none", "low", "medium", "high"] - } - ], "pricing": { "input": "0", "transcription_duration_cost_per_second": "0.000028" @@ -27194,15 +27496,6 @@ "input": ["text"], "output": ["audio"] }, - "reasoning_options": [ - { - "type": "toggle" - }, - { - "type": "effort", - "values": ["none", "low", "medium", "high"] - } - ], "pricing": { "input": "0.000015", "speech_input_character_cost": "0.000015" @@ -27237,15 +27530,6 @@ "include_reasoning" ], "temperature": true, - "reasoning_options": [ - { - "type": "toggle" - }, - { - "type": "effort", - "values": ["none", "low", "medium", "high"] - } - ], "pricing": { "realtime_client_message_cost": "0.004", "realtime_session_duration_cost_per_second": "0.001334" @@ -27350,23 +27634,22 @@ "owned_by": "stepfun", "name": "Step 5 Preview", "description": "Step 5 Preview is StepFun’s flagship AI model for agentic coding, professional knowledge work, and financial analysis. Built on a sparse Mixture-of-Experts architecture with 600B total parameters and 27B active per token, it combines a 1M-token context window with vision input. From building interactive applications and debugging code to conducting research and producing analytical reports, it supports complex workflows that require sustained reasoning, tool use, and iterative refinement.", - "context_window": 1048576, - "max_tokens": 1048576, + "context_window": 1000000, + "max_tokens": 1000000, "type": "language", "zdr": "none", - "no_training": "some", + "no_training": "none", "tags": [ "implicit-caching", - "reasoning", - "structured-output", - "tool-use", - "video-input", "vision", - "open-weights" + "structured-output", + "open-weights", + "reasoning", + "tool-use" ], "supported_specifications": ["v2", "v3", "v4"], "modalities": { - "input": ["text", "image", "video"], + "input": ["text", "image"], "output": ["text"] }, "supported_parameters": [ @@ -27681,6 +27964,60 @@ "varies_by_provider": true } }, + { + "id": "thinkingmachines/inkling-2-small", + "object": "model", + "created": 1755815280, + "released": 1794441600, + "owned_by": "thinkingmachines", + "name": "Inkling 2 Small", + "description": "Inkling 2 Small is Thinking Machines Lab’s second-generation multimodal Mixture-of-Experts model, with 594 billion total parameters and 17 billion active per token. It combines text and image understanding with controllable reasoning for coding, tool use, and professional knowledge work.", + "context_window": 1048576, + "max_tokens": 262144, + "type": "language", + "zdr": "some", + "no_training": "all", + "tags": [ + "implicit-caching", + "reasoning", + "structured-output", + "tool-use", + "vision", + "open-weights" + ], + "supported_specifications": ["v2", "v3", "v4"], + "modalities": { + "input": ["text", "image"], + "output": ["text"] + }, + "supported_parameters": [ + "max_tokens", + "temperature", + "stop", + "tools", + "tool_choice", + "reasoning", + "include_reasoning", + "response_format", + "structured_outputs" + ], + "temperature": true, + "reasoning_options": [ + { + "type": "toggle" + }, + { + "type": "effort", + "values": ["none", "low", "medium", "high"] + } + ], + "pricing": { + "input": "0.0000003", + "output": "0.000001", + "input_cache_read": "0.00000003", + "varies_by_provider": true + } + }, { "id": "thinkingmachines/inkling-small", "object": "model", @@ -28973,6 +29310,9 @@ { "type": "effort", "values": ["none", "low", "medium", "high"] + }, + { + "type": "budget_tokens" } ], "pricing": {