Model providers · benchmark source
Provider catalogs
System limits from provider documentation — context capacity is not a quality benchmark.
System capacity
Context window
The amount of input and output context a model can process in one interaction under the provider's rules.
Why it matters
It sets a hard ceiling for documents, repositories, and conversation state.
Use it when
You are sizing a real workload and will test long-context quality, truncation, and cost.
The limitation
More tokens do not guarantee better retrieval, attention, or reasoning across the whole window.
Board notes
Context window — methodology notes
This board documents how the publisher evaluates — not a ranked shortlist. Open the source for the full write-up.
Reference type
Context capacity
Specification, not a quality score
Rows shown
112
Context tokens
Source / snapshot date
2026-09-26
30 days old · not a live API feed
Open the live source before trusting rank order — especially when this snapshot predates recent model releases.
The live source owns the complete table
Provider-catalogued context capacities for the models in this site’s dataset. New GPT-6.1 Sol / Sonnet 5.5 profiles were added October 1; older profiles retain their own verification dates. Capacity is a system limit, not a quality benchmark; the linked OpenAI documentation is an example receipt, not a source for every provider row.
Catalogued context capacities (112)
Capacity is a model limit, not a quality ranking. Each linked profile records its provider sources and verification date; access, endpoint and modality conditions may vary.
- Llama 4 Scout10M
- GPT-6 Astra1.05M
- GPT-6 Sol1.05M
- GPT-6 Luna1.05M
- GPT-5.6 Sol1.05M
- GPT-5.6 Terra1.05M
- GPT-5.6 Luna1.05M
- GPT-5.51.05M
- GPT-5.5 Pro1.05M
- GPT-5.41.05M
- GPT-6.1 Sol1.05M
- Gemini 3.8 Flash1.05M
- Gemini 3.7 Flash1.05M
- Gemini 3.6 Flash1.05M
- Gemini 3.5 Flash1.05M
- Gemini 3.1 Pro1.05M
- Gemini 3.5 Flash-Lite1.05M
- Gemini 3.1 Flash-Lite1.05M
- Gemini 2.5 Pro1.05M
- Kimi K31.05M
- GLM 5.3 Flash1.05M
- Muse Spark 1.31.05M
- Muse Spark 1.21.05M
- Tencent Hy4 Preview1.05M
- NVIDIA Nemotron 3 Ultra1.05M
- Thinking Machines Inkling1.05M
- Xiaomi MiMo-V2.6-Pro1.05M
- Xiaomi MiMo-V2.6-Flash1.05M
- Xiaomi MiMo-V2.5-Pro1.05M
- Xiaomi MiMo-V2.51.05M
- Inkling-Small1.05M
- Laguna S 2.11.05M
- Gemini 3 Flash (Preview)1.05M
- Nex-N2.5-Max1.05M
- Kimi K2.8 Preview1.05M
- NVIDIA Nemotron 3.5 Lightning 30B A3B1.05M
- Claude Opus 5.51M
- Claude Fable 51M
- Claude Fable 5.11M
- Claude Mythos 5.11M
- Claude Opus 51M
- Claude Sonnet 51M
- DeepSeek V4.1 Flash1M
- DeepSeek V4 Pro1M
- DeepSeek V4 Flash1M
- Qwen 3.8 Max1M
- Qwen 3.8 Omni Flash1M
- Qwen 3.7 Max1M
- GLM 5.31M
- GLM 5.21M
- MiniMax M31M
- Llama 4 Maverick1M
- Step 5 Preview1M
- Amazon Nova 2 Pro1M
- Claude Sonnet 5.51M
- GLM 5.3 FlashX1M
- MiniMax M3.1-Flash-Preview1M
- Amazon Nova 2 Lite1M
- Grok 4.7500K
- Grok 4.6500K
- Grok 4.5500K
- GPT-5.4 Mini400K
- GPT-5.4 Nano400K
- GPT-5.2400K
- GPT-5.3-Codex400K
- GPT-5.6 Cyber (Daybreak restricted alias)400K
- Kimi K2.6262K
- Kimi K2.7 Code262K
- Qwen 3.8 Flash Next262K
- Qwen 3.8 27B262K
- Qwen 3.6 35B-A3B262K
- Qwen3-Max262K
- Mistral Medium 3.5262K
- Mistral Small 4262K
- Mistral Large 3262K
- Tencent Hy3262K
- Step 3.7 Flash262K
- LG EXAONE 4.5262K
- Ant Ling 3.0 Flash262K
- Poolside Laguna M.1262K
- Laguna XS 2.1262K
- Qwen3.8-2.4T-A95B262K
- K-EXAONE 2.0 (FP8)262K
- Gemma 4 12B Unified262K
- Gemma 4 26B A4B262K
- Gemma 4 31B262K
- Nex-N2.5-Pro262K
- Nex-N2.5-mini262K
- Ling-3.0-flash-Fin262K
- Inception Mercury 2.5260K
- ByteDance Doubao Seed 2.0 Pro256K
- Seed2.1 Turbo256K
- MiniMax M2.7205K
- MiniMax M2.5205K
- Claude Haiku 4.5200K
- Muse Glimmer 30B131K
- Liquid LFM2.5-2.6B131K
- IBM Granite 4.2 30B131K
- IBM Granite 4.2 3B131K
- IBM Granite 4.2 8B131K
Showing 100 entries. Open the publisher source for the current complete table.
Provider-catalogued context capacities for the models in this site’s dataset. New GPT-6.1 Sol / Sonnet 5.5 profiles were added October 1; older profiles retain their own verification dates. Capacity is a system limit, not a quality benchmark; the linked OpenAI documentation is an example receipt, not a source for every provider row.
Open Provider documentation example (OpenAI)Evidence in this catalog
Where Context window fits
Closest verified examples we currently carry. A missing score is not a zero.
Model examples
No directly comparable model score is verified here yet.
Harness examples
No directly comparable harness score is verified here yet.