snapshot_date stringdate 2026-10-31 00:00:00 2026-10-31 00:00:00 | model_listed_utc stringdate 2024-04-09 00:00:00 2026-10-26 00:00:00 | model stringlengths 9 29 | batch_id stringlengths 15 35 | name stringlengths 18 38 | context_length int64 128k 1.05M | input_modalities stringclasses 10
values | batch_input_usd_per_m float64 0.02 15 | batch_output_usd_per_m float64 0.11 90 | sync_input_usd_per_m float64 0.02 30 β | sync_output_usd_per_m float64 0.09 180 β | batch_providers stringclasses 8
values | canonical_slug stringlengths 13 38 | hugging_face_id stringclasses 6
values | expiration_date float64 | tier stringclasses 3
values | tier_rank int64 1 3 | sub_band stringclasses 6
values | input_band stringclasses 3
values | input_mismatch bool 2
classes | out_in_ratio float64 2 8.3 | reference_job_usd float64 0.16 113 | stable_endpoint bool 2
classes | stability_basis stringclasses 3
values | offers_cache_pricing bool 2
classes | cache_pricing stringlengths 44 141 β |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2026-10-31 | 2025-08-05 | openai/gpt-oss-20b | openai/gpt-oss-20b:batch | OpenAI: gpt-oss-20b (batch) | 131,072 | text | 0.024 | 0.112 | 0.018 | 0.09 | DeepInfra | openai/gpt-oss-20b | openai/gpt-oss-20b | null | Cheap | 1 | 1a | Cheap | false | 4.7 | 0.16 | true | open weights, fixed Hugging Face repo | false | null |
2026-10-31 | 2025-08-05 | openai/gpt-oss-120b | openai/gpt-oss-120b:batch | OpenAI: gpt-oss-120b (batch) | 131,072 | text | 0.0296 | 0.136 | 0.15 | 0.6 | DeepInfra | openai/gpt-oss-120b | openai/gpt-oss-120b | null | Cheap | 1 | 1a | Cheap | false | 4.6 | 0.2 | true | open weights, fixed Hugging Face repo | false | null |
2026-10-31 | 2026-09-10 | deepseek/deepseek-v4.1-flash | deepseek/deepseek-v4.1-flash:batch | DeepSeek: DeepSeek V4.1 Flash (batch) | 1,048,576 | text;image | 0.05 | 0.15 | 0.045 | 0.5 | Sail Research;DeepInfra | deepseek/deepseek-v4.1-flash-20260910 | deepseek-ai/DeepSeek-V4.1-Flash | null | Cheap | 1 | 1a | Cheap | false | 3 | 0.3 | true | dated canonical_slug | true | {"read_usd_per_m":0.004,"write_usd_per_m":null} |
2026-10-31 | 2026-08-26 | z-ai/glm-5.3-flash | z-ai/glm-5.3-flash:batch | Z.ai: GLM 5.3 Flash (batch) | 1,048,576 | text;image;video | 0.05 | 0.18 | 0.0163 | 0.1479 | Sail Research;DeepInfra | z-ai/glm-5.3-flash-20260826 | zai-org/GLM-5.3-Flash | null | Cheap | 1 | 1a | Cheap | false | 3.6 | 0.32 | true | dated canonical_slug | true | {"read_usd_per_m":0.01,"write_usd_per_m":null} |
2026-10-31 | 2025-08-07 | openai/gpt-5-nano | openai/gpt-5-nano:batch | OpenAI: GPT-5 Nano (batch) | 400,000 | text;image;file | 0.025 | 0.2 | 0.05 | 0.4 | OpenAI | openai/gpt-5-nano-2025-08-07 | null | null | Cheap | 1 | 1a | Cheap | false | 8 | 0.21 | true | dated canonical_slug | true | {"read_usd_per_m":0.0025,"write_usd_per_m":null} |
2026-10-31 | 2025-04-14 | openai/gpt-4.1-nano | openai/gpt-4.1-nano:batch | OpenAI: GPT-4.1 Nano (batch) | 1,047,576 | image;text;file | 0.05 | 0.2 | 0.1 | 0.4 | OpenAI | openai/gpt-4.1-nano-2025-04-14 | null | null | Cheap | 1 | 1a | Cheap | false | 4 | 0.33 | true | dated canonical_slug | true | {"read_usd_per_m":0.0125,"write_usd_per_m":null} |
2026-10-31 | 2026-10-07 | anthropic/claude-haiku-5.5 | anthropic/claude-haiku-5.5:batch | Anthropic: Claude Haiku 5.5 (batch) | 1,000,000 | text;image;file | 0.05 | 0.25 | 0.1 | 0.5 | Anthropic | anthropic/claude-haiku-5.5-20261007 | null | null | Cheap | 1 | 1a | Cheap | false | 5 | 0.35 | true | dated canonical_slug | true | {"read_usd_per_m":0.005,"write_usd_per_m":0.0625,"long_context":{"min_prompt_tokens":100000,"read_usd_per_m":0.025,"write_usd_per_m":0.3125}} |
2026-10-31 | 2026-09-22 | openai/gpt-6-luna | openai/gpt-6-luna:batch | OpenAI: GPT-6 Luna (batch) | 1,050,000 | file;image;text | 0.05 | 0.25 | 0.1 | 0.5 | OpenAI | openai/gpt-6-luna-20260922 | null | null | Cheap | 1 | 1a | Cheap | false | 5 | 0.35 | true | dated canonical_slug | true | {"read_usd_per_m":0.005,"write_usd_per_m":0.0625,"long_context":{"min_prompt_tokens":272000,"read_usd_per_m":0.01,"write_usd_per_m":0.125}} |
2026-10-31 | 2026-09-22 | openai/gpt-6-luna-pro | openai/gpt-6-luna-pro:batch | OpenAI: GPT-6 Luna Pro (batch) | 1,050,000 | file;image;text | 0.05 | 0.25 | 0.1 | 0.5 | OpenAI | openai/gpt-6-luna-pro-20260922 | null | null | Cheap | 1 | 1a | Cheap | false | 5 | 0.35 | true | dated canonical_slug | true | {"read_usd_per_m":0.005,"write_usd_per_m":0.0625,"long_context":{"min_prompt_tokens":272000,"read_usd_per_m":0.01,"write_usd_per_m":0.125}} |
2026-10-31 | 2024-07-18 | openai/gpt-4o-mini | openai/gpt-4o-mini:batch | OpenAI: GPT-4o-mini (batch) | 128,000 | text;image;file | 0.075 | 0.3 | 0.15 | 0.6 | OpenAI | openai/gpt-4o-mini | null | null | Cheap | 1 | 1a | Cheap | false | 4 | 0.49 | false | undated canonical_slug, closed weights: provider alias that can be repointed | true | {"read_usd_per_m":0.0375,"write_usd_per_m":null} |
2026-10-31 | 2026-07-09 | openai/gpt-5.6-luna | openai/gpt-5.6-luna:batch | OpenAI: GPT-5.6 Luna (batch) | 1,050,000 | file;image;text | 0.1 | 0.6 | 0.2 | 1.2 | OpenAI | openai/gpt-5.6-luna-20260709 | null | null | Cheap | 1 | 1a | Cheap | false | 6 | 0.75 | true | dated canonical_slug | true | {"read_usd_per_m":0.01,"write_usd_per_m":null,"long_context":{"min_prompt_tokens":272000,"read_usd_per_m":0.02,"write_usd_per_m":null}} |
2026-10-31 | 2026-07-09 | openai/gpt-5.6-luna-pro | openai/gpt-5.6-luna-pro:batch | OpenAI: GPT-5.6 Luna Pro (batch) | 1,050,000 | file;image;text | 0.1 | 0.6 | 0.2 | 1.2 | OpenAI | openai/gpt-5.6-luna-pro-20260709 | null | null | Cheap | 1 | 1a | Cheap | false | 6 | 0.75 | true | dated canonical_slug | true | {"read_usd_per_m":0.01,"write_usd_per_m":null,"long_context":{"min_prompt_tokens":272000,"read_usd_per_m":0.02,"write_usd_per_m":null}} |
2026-10-31 | 2026-03-17 | openai/gpt-5.4-nano | openai/gpt-5.4-nano:batch | OpenAI: GPT-5.4 Nano (batch) | 400,000 | file;image;text | 0.1 | 0.625 | 0.2 | 1.25 | OpenAI | openai/gpt-5.4-nano-20260317 | null | null | Cheap | 1 | 1a | Cheap | false | 6.2 | 0.76 | true | dated canonical_slug | true | {"read_usd_per_m":0.01,"write_usd_per_m":null} |
2026-10-31 | 2026-05-07 | google/gemini-3.1-flash-lite | google/gemini-3.1-flash-lite:batch | Google: Gemini 3.1 Flash Lite (batch) | 1,048,576 | text;image;video;file;audio | 0.125 | 0.75 | 0.25 | 1.5 | Google | google/gemini-3.1-flash-lite-20260507 | null | null | Cheap | 1 | 1a | Cheap | false | 6 | 0.94 | true | dated canonical_slug | true | {"read_usd_per_m":0.0125,"write_usd_per_m":null} |
2026-10-31 | 2025-04-14 | openai/gpt-4.1-mini | openai/gpt-4.1-mini:batch | OpenAI: GPT-4.1 Mini (batch) | 1,047,576 | image;text;file | 0.2 | 0.8 | 0.4 | 1.6 | OpenAI | openai/gpt-4.1-mini-2025-04-14 | null | null | Cheap | 1 | 1a | Cheap | false | 4 | 1.3 | true | dated canonical_slug | true | {"read_usd_per_m":0.05,"write_usd_per_m":null} |
2026-10-31 | 2026-06-03 | qwen/qwen3.7-plus | qwen/qwen3.7-plus:batch | Qwen: Qwen3.7 Plus (batch) | 262,144 | text;image | 0.23 | 0.92 | 0.32 | 1.28 | Alibaba | qwen/qwen3.7-plus-20260602 | null | null | Cheap | 1 | 1a | Cheap | false | 4 | 1.5 | true | dated canonical_slug | false | null |
2026-10-31 | 2025-08-07 | openai/gpt-5-mini | openai/gpt-5-mini:batch | OpenAI: GPT-5 Mini (batch) | 400,000 | text;image;file | 0.125 | 1 | 0.25 | 2 | OpenAI | openai/gpt-5-mini-2025-08-07 | null | null | Cheap | 1 | 1a | Cheap | false | 8 | 1.06 | true | dated canonical_slug | true | {"read_usd_per_m":0.0125,"write_usd_per_m":null} |
2026-10-31 | 2026-07-21 | google/gemini-3.5-flash-lite | google/gemini-3.5-flash-lite:batch | Google: Gemini 3.5 Flash Lite (batch) | 1,048,576 | text;image;video;file;audio | 0.15 | 1.25 | 0.3 | 2.5 | Google | google/gemini-3.5-flash-lite-20260721 | null | null | Cheap | 1 | 1b | Cheap | false | 8.3 | 1.3 | true | dated canonical_slug | true | {"read_usd_per_m":0.015,"write_usd_per_m":null} |
2026-10-31 | 2025-12-17 | google/gemini-3-flash-preview | google/gemini-3-flash-preview:batch | Google: Gemini 3 Flash Preview (batch) | 1,048,576 | text;image;file;audio;video | 0.25 | 1.5 | 0.5 | 3 | Google | google/gemini-3-flash-preview-20251217 | null | null | Cheap | 1 | 1b | Cheap | false | 6 | 1.88 | true | dated canonical_slug | false | null |
2026-10-31 | 2026-07-21 | google/gemini-3.6-flash | google/gemini-3.6-flash:batch | Google: Gemini 3.6 Flash (batch) | 1,048,576 | text;image;video;file;audio | 0.375 | 1.875 | 0.75 | 3.75 | Google | google/gemini-3.6-flash-20260721 | null | null | Cheap | 1 | 1b | Cheap | false | 5 | 2.62 | true | dated canonical_slug | true | {"read_usd_per_m":0.0375,"write_usd_per_m":0.041667} |
2026-10-31 | 2026-08-13 | google/gemini-3.7-flash | google/gemini-3.7-flash:batch | Google: Gemini 3.7 Flash (batch) | 1,048,576 | text;image;video;file;audio | 0.375 | 1.875 | 0.75 | 3.75 | Google | google/gemini-3.7-flash-20260813 | null | null | Cheap | 1 | 1b | Cheap | false | 5 | 2.62 | true | dated canonical_slug | true | {"read_usd_per_m":0.0375,"write_usd_per_m":0.041667} |
2026-10-31 | 2026-09-02 | google/gemini-3.8-flash | google/gemini-3.8-flash:batch | Google: Gemini 3.8 Flash (batch) | 1,048,576 | text;image;video;file;audio | 0.375 | 1.875 | 0.825 | 4.125 | Google | google/gemini-3.8-flash-20260902 | null | null | Cheap | 1 | 1b | Cheap | false | 5 | 2.62 | true | dated canonical_slug | true | {"read_usd_per_m":0.0375,"write_usd_per_m":0.041667} |
2026-10-31 | 2026-08-18 | z-ai/glm-5.3 | z-ai/glm-5.3:batch | Z.ai: GLM 5.3 (batch) | 1,048,576 | text | 0.45 | 2 | 0.0699 | 1.4 | DeepInfra | z-ai/glm-5.3-20260816 | zai-org/GLM-5.3 | null | Cheap | 1 | 1b | Cheap | false | 4.4 | 3.02 | true | dated canonical_slug | true | {"read_usd_per_m":0.1,"write_usd_per_m":null} |
2026-10-31 | 2026-04-30 | x-ai/grok-4.3 | x-ai/grok-4.3:batch | SpaceXAI: Grok 4.3 (batch) | 1,000,000 | text;image;file | 1 | 2 | 1.25 | 2.5 | xAI | x-ai/grok-4.3-20260430 | null | null | Cheap | 1 | 1b | Mid | true | 2 | 5.5 | true | dated canonical_slug | true | {"read_usd_per_m":0.16,"write_usd_per_m":null,"long_context":{"min_prompt_tokens":200000,"read_usd_per_m":0.32,"write_usd_per_m":null}} |
2026-10-31 | 2025-01-31 | openai/o3-mini | openai/o3-mini:batch | OpenAI: o3 Mini (batch) | 200,000 | text;file | 0.55 | 2.2 | null | null | OpenAI | openai/o3-mini-2025-01-31 | null | null | Cheap | 1 | 1b | Cheap | false | 4 | 3.58 | true | dated canonical_slug | true | {"read_usd_per_m":0.275,"write_usd_per_m":null} |
2026-10-31 | 2025-04-16 | openai/o4-mini | openai/o4-mini:batch | OpenAI: o4 Mini (batch) | 200,000 | image;text;file | 0.55 | 2.2 | null | null | OpenAI | openai/o4-mini-2025-04-16 | null | null | Cheap | 1 | 1b | Cheap | false | 4 | 3.58 | true | dated canonical_slug | true | {"read_usd_per_m":0.1375,"write_usd_per_m":null} |
2026-10-31 | 2026-03-17 | openai/gpt-5.4-mini | openai/gpt-5.4-mini:batch | OpenAI: GPT-5.4 Mini (batch) | 400,000 | file;image;text | 0.375 | 2.25 | 0.75 | 4.5 | OpenAI | openai/gpt-5.4-mini-20260317 | null | null | Cheap | 1 | 1b | Cheap | false | 6 | 2.81 | true | dated canonical_slug | true | {"read_usd_per_m":0.0375,"write_usd_per_m":null} |
2026-10-31 | 2025-10-15 | anthropic/claude-haiku-4.5 | anthropic/claude-haiku-4.5:batch | Anthropic: Claude Haiku 4.5 (batch) | 200,000 | text;image;file | 0.5 | 2.5 | 1 | 5 | Anthropic | anthropic/claude-4.5-haiku-20251001 | null | null | Cheap | 1 | 1b | Cheap | false | 5 | 3.5 | true | dated canonical_slug | true | {"read_usd_per_m":0.05,"write_usd_per_m":0.625} |
2026-10-31 | 2026-10-26 | openai/gpt-6.1-terra | openai/gpt-6.1-terra:batch | OpenAI: GPT-6.1 Terra (batch) | 1,050,000 | file;image;text | 0.5 | 2.5 | 1 | 5 | OpenAI | openai/gpt-6.1-terra-20261026 | null | null | Cheap | 1 | 1b | Cheap | false | 5 | 3.5 | true | dated canonical_slug | true | {"read_usd_per_m":0.025,"write_usd_per_m":0.625,"long_context":{"min_prompt_tokens":272000,"read_usd_per_m":0.05,"write_usd_per_m":1.25}} |
2026-10-31 | 2026-10-26 | openai/gpt-6.1-terra-pro | openai/gpt-6.1-terra-pro:batch | OpenAI: GPT-6.1 Terra Pro (batch) | 1,050,000 | file;image;text | 0.5 | 2.5 | 1 | 5 | OpenAI | openai/gpt-6.1-terra-pro-20261026 | null | null | Cheap | 1 | 1b | Cheap | false | 5 | 3.5 | true | dated canonical_slug | true | {"read_usd_per_m":0.025,"write_usd_per_m":0.625,"long_context":{"min_prompt_tokens":272000,"read_usd_per_m":0.05,"write_usd_per_m":1.25}} |
2026-10-31 | 2026-04-30 | mistralai/mistral-medium-3-5 | mistralai/mistral-medium-3-5:batch | Mistral: Mistral Medium 3.5 (batch) | 262,144 | text;image;file | 0.75 | 3.75 | 1.5 | 7.5 | Mistral | mistralai/mistral-medium-3.5-20260430 | null | null | Mid | 2 | 2a | Mid | false | 5 | 5.25 | true | dated canonical_slug | false | null |
2026-10-31 | 2025-04-14 | openai/gpt-4.1 | openai/gpt-4.1:batch | OpenAI: GPT-4.1 (batch) | 1,047,576 | image;text;file | 1 | 4 | 2 | 8 | OpenAI | openai/gpt-4.1-2025-04-14 | null | null | Mid | 2 | 2a | Mid | false | 4 | 6.5 | true | dated canonical_slug | true | {"read_usd_per_m":0.25,"write_usd_per_m":null} |
2026-10-31 | 2025-04-16 | openai/o3 | openai/o3:batch | OpenAI: o3 (batch) | 200,000 | image;text;file | 1 | 4 | 2 | 8 | OpenAI | openai/o3-2025-04-16 | null | null | Mid | 2 | 2a | Mid | false | 4 | 6.5 | true | dated canonical_slug | true | {"read_usd_per_m":0.25,"write_usd_per_m":null} |
2026-10-31 | 2026-05-19 | google/gemini-3.5-flash | google/gemini-3.5-flash:batch | Google: Gemini 3.5 Flash (batch) | 1,048,576 | text;image;video;file;audio | 0.75 | 4.5 | 1.5 | 9 | Google | google/gemini-3.5-flash-20260519 | null | null | Mid | 2 | 2a | Mid | false | 6 | 5.62 | true | dated canonical_slug | true | {"read_usd_per_m":0.075,"write_usd_per_m":null} |
2026-10-31 | 2025-08-07 | openai/gpt-5 | openai/gpt-5:batch | OpenAI: GPT-5 (batch) | 400,000 | text;image;file | 0.625 | 5 | 1.25 | 10 | OpenAI | openai/gpt-5-2025-08-07 | null | null | Mid | 2 | 2a | Mid | false | 8 | 5.31 | true | dated canonical_slug | true | {"read_usd_per_m":0.0625,"write_usd_per_m":null} |
2026-10-31 | 2025-11-13 | openai/gpt-5.1 | openai/gpt-5.1:batch | OpenAI: GPT-5.1 (batch) | 400,000 | image;text;file | 0.625 | 5 | 1.25 | 10 | OpenAI | openai/gpt-5.1-20251113 | null | null | Mid | 2 | 2a | Mid | false | 8 | 5.31 | true | dated canonical_slug | true | {"read_usd_per_m":0.0625,"write_usd_per_m":null} |
2026-10-31 | 2026-06-30 | anthropic/claude-sonnet-5 | anthropic/claude-sonnet-5:batch | Anthropic: Claude Sonnet 5 (batch) | 1,000,000 | text;image;file | 1 | 5 | 2 | 10 | Anthropic | anthropic/claude-sonnet-5-20260630 | null | null | Mid | 2 | 2a | Mid | false | 5 | 7 | true | dated canonical_slug | true | {"read_usd_per_m":0.1,"write_usd_per_m":1.25} |
2026-10-31 | 2026-09-28 | anthropic/claude-sonnet-5.5 | anthropic/claude-sonnet-5.5:batch | Anthropic: Claude Sonnet 5.5 (batch) | 1,000,000 | text;image;file | 1 | 5 | 2 | 10 | Anthropic | anthropic/claude-sonnet-5.5-20260928 | null | null | Mid | 2 | 2a | Mid | false | 5 | 7 | true | dated canonical_slug | true | {"read_usd_per_m":0.05,"write_usd_per_m":1.25} |
2026-10-31 | 2026-10-13 | google/gemini-4-argon | google/gemini-4-argon:batch | Google: Gemini 4 Argon (batch) | 1,048,576 | audio;file;image;text;video | 1 | 5 | 2 | 10 | Google | google/gemini-4-argon-20261013 | null | null | Mid | 2 | 2a | Mid | false | 5 | 7 | true | dated canonical_slug | true | {"read_usd_per_m":0.05,"write_usd_per_m":0.1875} |
2026-10-31 | 2026-09-22 | openai/gpt-6-sol | openai/gpt-6-sol:batch | OpenAI: GPT-6 Sol (batch) | 1,050,000 | file;image;text | 1 | 5 | 2 | 10 | OpenAI | openai/gpt-6-sol-20260922 | null | null | Mid | 2 | 2a | Mid | false | 5 | 7 | true | dated canonical_slug | true | {"read_usd_per_m":0.1,"write_usd_per_m":1.25,"long_context":{"min_prompt_tokens":272000,"read_usd_per_m":0.2,"write_usd_per_m":2.5}} |
2026-10-31 | 2026-09-22 | openai/gpt-6-sol-pro | openai/gpt-6-sol-pro:batch | OpenAI: GPT-6 Sol Pro (batch) | 1,050,000 | file;image;text | 1 | 5 | 2 | 10 | OpenAI | openai/gpt-6-sol-pro-20260922 | null | null | Mid | 2 | 2a | Mid | false | 5 | 7 | true | dated canonical_slug | true | {"read_usd_per_m":0.1,"write_usd_per_m":1.25,"long_context":{"min_prompt_tokens":272000,"read_usd_per_m":0.2,"write_usd_per_m":2.5}} |
2026-10-31 | 2026-09-29 | openai/gpt-6.1-sol | openai/gpt-6.1-sol:batch | OpenAI: GPT-6.1 Sol (batch) | 1,050,000 | file;image;text | 1 | 5 | 2 | 10 | OpenAI | openai/gpt-6.1-sol-20260929 | null | null | Mid | 2 | 2a | Mid | false | 5 | 7 | true | dated canonical_slug | true | {"read_usd_per_m":0.05,"write_usd_per_m":1.25,"long_context":{"min_prompt_tokens":272000,"read_usd_per_m":0.1,"write_usd_per_m":2.5}} |
2026-10-31 | 2026-09-29 | openai/gpt-6.1-sol-pro | openai/gpt-6.1-sol-pro:batch | OpenAI: GPT-6.1 Sol Pro (batch) | 1,050,000 | file;image;text | 1 | 5 | 2 | 10 | OpenAI | openai/gpt-6.1-sol-pro-20260929 | null | null | Mid | 2 | 2a | Mid | false | 5 | 7 | true | dated canonical_slug | true | {"read_usd_per_m":0.05,"write_usd_per_m":1.25,"long_context":{"min_prompt_tokens":272000,"read_usd_per_m":0.1,"write_usd_per_m":2.5}} |
2026-10-31 | 2024-05-13 | openai/gpt-4o | openai/gpt-4o:batch | OpenAI: GPT-4o (batch) | 128,000 | text;image;file | 1.25 | 5 | 2.5 | 10 | OpenAI | openai/gpt-4o | null | null | Mid | 2 | 2a | Mid | false | 4 | 8.12 | false | undated canonical_slug, closed weights: provider alias that can be repointed | true | {"read_usd_per_m":0.625,"write_usd_per_m":null} |
2026-10-31 | 2026-02-19 | google/gemini-3.1-pro-preview | google/gemini-3.1-pro-preview:batch | Google: Gemini 3.1 Pro Preview (batch) | 1,048,576 | audio;file;image;text;video | 1 | 6 | 2 | 12 | Google | google/gemini-3.1-pro-preview-20260219 | null | null | Mid | 2 | 2a | Mid | false | 6 | 7.5 | true | dated canonical_slug | false | null |
2026-10-31 | 2026-07-09 | openai/gpt-5.6-terra | openai/gpt-5.6-terra:batch | OpenAI: GPT-5.6 Terra (batch) | 1,050,000 | file;image;text | 1 | 6 | 2 | 12 | OpenAI | openai/gpt-5.6-terra-20260709 | null | null | Mid | 2 | 2a | Mid | false | 6 | 7.5 | true | dated canonical_slug | true | {"read_usd_per_m":0.1,"write_usd_per_m":null,"long_context":{"min_prompt_tokens":272000,"read_usd_per_m":0.2,"write_usd_per_m":null}} |
2026-10-31 | 2026-07-09 | openai/gpt-5.6-terra-pro | openai/gpt-5.6-terra-pro:batch | OpenAI: GPT-5.6 Terra Pro (batch) | 1,050,000 | file;image;text | 1 | 6 | 2 | 12 | OpenAI | openai/gpt-5.6-terra-pro-20260709 | null | null | Mid | 2 | 2a | Mid | false | 6 | 7.5 | true | dated canonical_slug | true | {"read_usd_per_m":0.1,"write_usd_per_m":null,"long_context":{"min_prompt_tokens":272000,"read_usd_per_m":0.2,"write_usd_per_m":null}} |
2026-10-31 | 2025-12-10 | openai/gpt-5.2 | openai/gpt-5.2:batch | OpenAI: GPT-5.2 (batch) | 400,000 | file;image;text | 0.875 | 7 | 1.75 | 14 | OpenAI | openai/gpt-5.2-20251211 | null | null | Mid | 2 | 2a | Mid | false | 8 | 7.44 | true | dated canonical_slug | true | {"read_usd_per_m":0.0875,"write_usd_per_m":null} |
2026-10-31 | 2026-03-05 | openai/gpt-5.4 | openai/gpt-5.4:batch | OpenAI: GPT-5.4 (batch) | 1,050,000 | text;image;file | 1.25 | 7.5 | 2.5 | 15 | OpenAI | openai/gpt-5.4-20260305 | null | null | Mid | 2 | 2a | Mid | false | 6 | 9.38 | true | dated canonical_slug | true | {"read_usd_per_m":0.125,"write_usd_per_m":null,"long_context":{"min_prompt_tokens":272000,"read_usd_per_m":0.25,"write_usd_per_m":null}} |
2026-10-31 | 2025-09-29 | anthropic/claude-sonnet-4.5 | anthropic/claude-sonnet-4.5:batch | Anthropic: Claude Sonnet 4.5 (batch) | 1,000,000 | text;image;file | 1.5 | 7.5 | 3 | 15 | Anthropic | anthropic/claude-4.5-sonnet-20250929 | null | null | Mid | 2 | 2a | Mid | false | 5 | 10.5 | true | dated canonical_slug | true | {"read_usd_per_m":0.15,"write_usd_per_m":1.875,"long_context":{"min_prompt_tokens":200000,"read_usd_per_m":0.3,"write_usd_per_m":3.75}} |
2026-10-31 | 2026-02-17 | anthropic/claude-sonnet-4.6 | anthropic/claude-sonnet-4.6:batch | Anthropic: Claude Sonnet 4.6 (batch) | 1,000,000 | text;image;file | 1.5 | 7.5 | 3 | 15 | Anthropic | anthropic/claude-4.6-sonnet-20260217 | null | null | Mid | 2 | 2a | Mid | false | 5 | 10.5 | true | dated canonical_slug | true | {"read_usd_per_m":0.15,"write_usd_per_m":1.875} |
2026-10-31 | 2026-09-22 | anthropic/claude-opus-5.5 | anthropic/claude-opus-5.5:batch | Anthropic: Claude Opus 5.5 (batch) | 1,000,000 | text;image;file | 2 | 10 | 4 | 20 | Anthropic | anthropic/claude-opus-5.5-20260921 | null | null | Mid | 2 | 2b | Mid | false | 5 | 14 | true | dated canonical_slug | true | {"read_usd_per_m":0.1,"write_usd_per_m":2.5} |
2026-10-31 | 2026-07-09 | openai/gpt-5.6-sol | openai/gpt-5.6-sol:batch | OpenAI: GPT-5.6 Sol (batch) | 1,050,000 | file;image;text | 2 | 10 | 4 | 20 | OpenAI | openai/gpt-5.6-sol-20260709 | null | null | Mid | 2 | 2b | Mid | false | 5 | 14 | true | dated canonical_slug | true | {"read_usd_per_m":0.2,"write_usd_per_m":2.5,"long_context":{"min_prompt_tokens":272000,"read_usd_per_m":0.4,"write_usd_per_m":5.0}} |
2026-10-31 | 2026-07-09 | openai/gpt-5.6-sol-pro | openai/gpt-5.6-sol-pro:batch | OpenAI: GPT-5.6 Sol Pro (batch) | 1,050,000 | file;image;text | 2 | 10 | 4 | 20 | OpenAI | openai/gpt-5.6-sol-pro-20260709 | null | null | Mid | 2 | 2b | Mid | false | 5 | 14 | true | dated canonical_slug | true | {"read_usd_per_m":0.2,"write_usd_per_m":2.5,"long_context":{"min_prompt_tokens":272000,"read_usd_per_m":0.4,"write_usd_per_m":5.0}} |
2026-10-31 | 2026-07-16 | moonshotai/kimi-k3 | moonshotai/kimi-k3:batch | MoonshotAI: Kimi K3 (batch) | 1,048,576 | text;image;video | 2.28 | 11.4 | 0.192 | 15 | DeepInfra | moonshotai/kimi-k3-20260715 | moonshotai/Kimi-K3 | null | Mid | 2 | 2b | Mid | false | 5 | 15.96 | true | dated canonical_slug | true | {"read_usd_per_m":0.228,"write_usd_per_m":null} |
2026-10-31 | 2025-11-24 | anthropic/claude-opus-4.5 | anthropic/claude-opus-4.5:batch | Anthropic: Claude Opus 4.5 (batch) | 200,000 | file;image;text | 2.5 | 12.5 | 5 | 25 | Anthropic | anthropic/claude-4.5-opus-20251124 | null | null | Mid | 2 | 2b | Mid | false | 5 | 17.5 | true | dated canonical_slug | true | {"read_usd_per_m":0.25,"write_usd_per_m":3.125} |
2026-10-31 | 2026-02-04 | anthropic/claude-opus-4.6 | anthropic/claude-opus-4.6:batch | Anthropic: Claude Opus 4.6 (batch) | 1,000,000 | text;image;file | 2.5 | 12.5 | 5 | 25 | Anthropic | anthropic/claude-4.6-opus-20260205 | null | null | Mid | 2 | 2b | Mid | false | 5 | 17.5 | true | dated canonical_slug | true | {"read_usd_per_m":0.25,"write_usd_per_m":3.125} |
2026-10-31 | 2026-04-16 | anthropic/claude-opus-4.7 | anthropic/claude-opus-4.7:batch | Anthropic: Claude Opus 4.7 (batch) | 1,000,000 | text;image;file | 2.5 | 12.5 | 5 | 25 | Anthropic | anthropic/claude-4.7-opus-20260416 | null | null | Mid | 2 | 2b | Mid | false | 5 | 17.5 | true | dated canonical_slug | true | {"read_usd_per_m":0.25,"write_usd_per_m":3.125} |
2026-10-31 | 2026-05-27 | anthropic/claude-opus-4.8 | anthropic/claude-opus-4.8:batch | Anthropic: Claude Opus 4.8 (batch) | 1,000,000 | text;image;file | 2.5 | 12.5 | 5 | 25 | Anthropic | anthropic/claude-4.8-opus-20260528 | null | null | Mid | 2 | 2b | Mid | false | 5 | 17.5 | true | dated canonical_slug | true | {"read_usd_per_m":0.25,"write_usd_per_m":3.125} |
2026-10-31 | 2026-07-24 | anthropic/claude-opus-5 | anthropic/claude-opus-5:batch | Anthropic: Claude Opus 5 (batch) | 1,000,000 | text;image;file | 2.5 | 12.5 | 5 | 25 | Anthropic | anthropic/claude-opus-5-20260723 | null | null | Mid | 2 | 2b | Mid | false | 5 | 17.5 | true | dated canonical_slug | true | {"read_usd_per_m":0.25,"write_usd_per_m":3.125} |
2026-10-31 | 2026-04-24 | openai/gpt-5.5 | openai/gpt-5.5:batch | OpenAI: GPT-5.5 (batch) | 1,050,000 | file;image;text | 2.5 | 15 | 5 | 30 | OpenAI | openai/gpt-5.5-20260423 | null | null | Mid | 2 | 2b | Mid | false | 6 | 18.75 | true | dated canonical_slug | true | {"read_usd_per_m":0.25,"write_usd_per_m":null,"long_context":{"min_prompt_tokens":272000,"read_usd_per_m":0.5,"write_usd_per_m":null}} |
2026-10-31 | 2024-04-09 | openai/gpt-4-turbo | openai/gpt-4-turbo:batch | OpenAI: GPT-4 Turbo (batch) | 128,000 | text;image | 5 | 15 | null | null | OpenAI | openai/gpt-4-turbo | null | null | Mid | 2 | 2b | Expensive | true | 3 | 30 | false | undated canonical_slug, closed weights: provider alias that can be repointed | false | null |
2026-10-31 | 2026-06-09 | anthropic/claude-fable-5 | anthropic/claude-fable-5:batch | Anthropic: Claude Fable 5 (batch) | 1,000,000 | text;image;file | 5 | 25 | 10 | 50 | Anthropic | anthropic/claude-5-fable-20260609 | null | null | Expensive | 3 | 3a | Expensive | false | 5 | 35 | true | dated canonical_slug | true | {"read_usd_per_m":0.5,"write_usd_per_m":6.25} |
2026-10-31 | 2026-09-01 | anthropic/claude-fable-5.1 | anthropic/claude-fable-5.1:batch | Anthropic: Claude Fable 5.1 (batch) | 1,000,000 | text;image;file | 5 | 25 | 10 | 50 | Anthropic | anthropic/claude-fable-5.1-20260831 | null | null | Expensive | 3 | 3a | Expensive | false | 5 | 35 | true | dated canonical_slug | true | {"read_usd_per_m":0.125,"write_usd_per_m":6.25} |
2026-10-31 | 2026-09-04 | openai/gpt-6-astra | openai/gpt-6-astra:batch | OpenAI: GPT-6 Astra (batch) | 1,050,000 | file;image;text | 5 | 25 | 10 | 50 | OpenAI | openai/gpt-6-astra-20260903 | null | null | Expensive | 3 | 3a | Expensive | false | 5 | 35 | true | dated canonical_slug | true | {"read_usd_per_m":0.5,"write_usd_per_m":6.25,"long_context":{"min_prompt_tokens":272000,"read_usd_per_m":1.0,"write_usd_per_m":12.5}} |
2026-10-31 | 2026-09-04 | openai/gpt-6-astra-pro | openai/gpt-6-astra-pro:batch | OpenAI: GPT-6 Astra Pro (batch) | 1,050,000 | file;image;text | 5 | 25 | 10 | 50 | OpenAI | openai/gpt-6-astra-pro-20260903 | null | null | Expensive | 3 | 3a | Expensive | false | 5 | 35 | true | dated canonical_slug | true | {"read_usd_per_m":0.5,"write_usd_per_m":6.25,"long_context":{"min_prompt_tokens":272000,"read_usd_per_m":1.0,"write_usd_per_m":12.5}} |
2026-10-31 | 2025-08-05 | anthropic/claude-opus-4.1 | anthropic/claude-opus-4.1:batch | Anthropic: Claude Opus 4.1 (batch) | 200,000 | image;text;file | 7.5 | 37.5 | 15 | 75 | Anthropic | anthropic/claude-4.1-opus-20250805 | null | null | Expensive | 3 | 3a | Expensive | false | 5 | 52.5 | true | dated canonical_slug | true | {"read_usd_per_m":0.75,"write_usd_per_m":9.375} |
2026-10-31 | 2025-10-06 | openai/gpt-5-pro | openai/gpt-5-pro:batch | OpenAI: GPT-5 Pro (batch) | 400,000 | image;text;file | 7.5 | 60 | 15 | 120 | OpenAI | openai/gpt-5-pro-2025-10-06 | null | null | Expensive | 3 | 3b | Expensive | false | 8 | 63.75 | true | dated canonical_slug | false | null |
2026-10-31 | 2025-12-10 | openai/gpt-5.2-pro | openai/gpt-5.2-pro:batch | OpenAI: GPT-5.2 Pro (batch) | 400,000 | image;text;file | 10.5 | 84 | 21 | 168 | OpenAI | openai/gpt-5.2-pro-20251211 | null | null | Expensive | 3 | 3b | Expensive | false | 8 | 89.25 | true | dated canonical_slug | false | null |
2026-10-31 | 2026-03-05 | openai/gpt-5.4-pro | openai/gpt-5.4-pro:batch | OpenAI: GPT-5.4 Pro (batch) | 1,050,000 | text;image;file | 15 | 90 | 30 | 180 | OpenAI | openai/gpt-5.4-pro-20260305 | null | null | Expensive | 3 | 3b | Expensive | false | 6 | 112.5 | true | dated canonical_slug | false | null |
2026-10-31 | 2026-04-24 | openai/gpt-5.5-pro | openai/gpt-5.5-pro:batch | OpenAI: GPT-5.5 Pro (batch) | 1,050,000 | file;image;text | 15 | 90 | 30 | 180 | OpenAI | openai/gpt-5.5-pro-20260423 | null | null | Expensive | 3 | 3b | Expensive | false | 6 | 112.5 | true | dated canonical_slug | false | null |
OpenRouter Batch Inference Models
Every model with a :batch id on OpenRouter on 2026-10-31 (71 models),
with batch and sync prices, the providers that serve batch, and a price-tier label.
- Source: public
https://openrouter.ai/api/v1/modelsand/api/v1/models/{id}/endpoints, fetched 2026-10-31T14:52:01Z. No key needed. - Prices: US$ per million tokens, base tier, from
pricing.prompt/pricing.completionΓ 1e6. - Each snapshot is a split named
snapshot_YYYY_MM_DD. New snapshots are added, never overwritten. - Visualiser: danielrosehill/OR-Batch-Inference-Costs.
- Source notebook and scripts: danielrosehill/OpenRouter-Batch-Notes
(rubric:
notebook/07-price-tiers.md, tiering:scripts/price_tiers.py).
Prices change often. Re-check on the day you rely on them.
Data dictionary
Machine-readable copy: data_dictionary.json. Origin says where a value comes from:
- api: retrieved from OpenRouter's public API at fetch time, reformatted only (units, joins).
- enriched: added by us, either computed from API fields by a stated rule or a judgement label. OpenRouter does not publish these.
| Column | Origin | Type | Meaning |
|---|---|---|---|
snapshot_date |
enriched | date | UTC date the API was fetched. Same for every row of a file. |
model_listed_utc |
api | date | Date OpenRouter first listed the model (created, Unix time to UTC date). Not the date batch support arrived. |
model |
api | string | Sync model slug (id with :batch removed). |
batch_id |
api | string | Batch slug (id) to submit batches with. |
name |
api | string | Display name (name). |
context_length |
api | integer | Context window in tokens (context_length). |
input_modalities |
api | string | architecture.input_modalities, ;-separated. |
batch_input_usd_per_m |
api | number | Batch input price, US$ per million tokens (pricing.prompt x 1e6, base tier). |
batch_output_usd_per_m |
api | number | Batch output price, US$ per million tokens (pricing.completion x 1e6, base tier). |
sync_input_usd_per_m |
api | number or null | Input price of the sync id for the same model. Empty if the sync id is not listed. |
sync_output_usd_per_m |
api | number or null | Output price of the sync id for the same model. Empty if not listed. |
batch_providers |
api | string | Providers serving the :batch id, from /api/v1/models/{id}/endpoints, ;-separated. |
canonical_slug |
api | string | canonical_slug: OpenRouter's permanent slug, usually the model name plus a release-date stamp. |
hugging_face_id |
api | string or null | hugging_face_id: weights repo for open-weight models. Empty for closed models. |
expiration_date |
api | date or null | expiration_date: announced retirement date. Empty if none announced. |
tier |
enriched | string | Cheap / Mid / Expensive by batch output price: < $3, $3-20, >= $20 per million. Rule: notebook/07-price-tiers.md, scripts/price_tiers.py. |
tier_rank |
enriched | integer | 1 = Cheap, 2 = Mid, 3 = Expensive. |
sub_band |
enriched | string | 1a <= 1.00, 1b 1-3, 2a 3-8, 2b 8-20, 3a 20-50, 3b >= 50 (batch output $/M). |
input_band |
enriched | string | Cheap < 0.60, Mid 0.60-3.00, Expensive >= 3.00 (batch input $/M). |
input_mismatch |
enriched | boolean | True when input_band differs from tier: the model changes tier on input-heavy jobs. |
out_in_ratio |
enriched | number | batch_output_usd_per_m / batch_input_usd_per_m, 1 decimal. |
reference_job_usd |
enriched | number | Cost in US$ of 4.5M input + 0.5M output tokens at batch prices (bulk-labelling job shape, 9:1). |
stable_endpoint |
enriched | boolean | True if the id resolves to one fixed model version. False for dynamic aliases (~ prefix or latest in the id, which OpenRouter says 'always redirects to the latest model') and for closed models whose canonical_slug has no date stamp (an upstream alias the provider can repoint). Rule: scripts/build_hf_dataset.py. |
stability_basis |
enriched | string | Which branch of the stable_endpoint rule applied. |
offers_cache_pricing |
enriched | boolean | True when the batch id's API record publishes a prompt-cache read price (pricing.input_cache_read). False means no cache price is listed, not proof the provider never caches. |
cache_pricing |
api | string (JSON) or null | Cache prices from pricing, US$ per million tokens, as compact JSON: read_usd_per_m (input_cache_read), write_usd_per_m (input_cache_write, null when not published: usually automatic caching with no write premium), and long_context {min_prompt_tokens, read_usd_per_m, write_usd_per_m} when a long-context override lists cache prices. Empty when offers_cache_pricing is False. |
Tier boundaries sit in the widest gaps of the 2026-10-31 output-price ladder (2.50 β 3.75, 7.50 β 10, 15 β 25, 37.50 β 60).
Endpoint stability
stable_endpoint says whether the id always resolves to the same model version. OpenRouter's
dynamic aliases (~google/gemini-flash-latest, ~anthropic/claude-sonnet-latest and 18 others
on 2026-10-31) silently move to each new release. None of them has a :batch id, so every
alias is excluded from batch by construction. Three batch models are still labelled unstable:
openai/gpt-4o, openai/gpt-4o-mini and openai/gpt-4-turbo. Their canonical_slug carries no
date, so they map to OpenAI's undated names, which OpenAI can repoint to a newer snapshot (it
did so for gpt-4o in 2024). That they are aliases is inferred from the undated slug. OpenRouter
does not state it. The other 68 have a dated canonical_slug (66) or are open weights with a fixed
Hugging Face repo (2, gpt-oss).
Prompt caching
On 2026-10-31, 60 of 71 batch ids publish a cache read price (offers_cache_pricing). Read
price as a share of batch input price: 0.025Γ (Fable 5.1), 0.05Γ (Opus/Sonnet 5.5, GPT-6.1,
Gemini 4 Argon, GPT-6.1 Sol), 0.10Γ (most models), 0.16β0.25Γ (Grok 4.3, GLM, o3/o4-mini,
GPT-4.1) and 0.50Γ (GPT-4o, o3-mini). A write price is published for 31: 1.25Γ input for
Anthropic (15) and OpenAI GPT-5.6 Sol, GPT-6 and GPT-6.1 (12), 0.11β0.19Γ for Gemini 3.6β4 (4). The other 29 list no
write price (automatic caching, no write premium). No cache price: gpt-oss-20b/120b, Qwen 3.7
Plus, Mistral Medium 3.5, Gemini 3 Flash / 3.1 Pro preview, GPT-4 Turbo and the GPT-5 / 5.2 /
5.4 / 5.5 Pro models. OpenRouter's batch guide says only that "prompt caching rates vary by
model"; whether requests inside one batch actually hit each other's cache is not confirmed.
Compiled by Claude Opus 5.5 for Daniel Rosehill, 2026-10-31.
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