Specs ranking

# Best LLMs With a 1M+ Token Context Window in October 2026

> Best LLMs With a 1M+ Token Context Window: As of October 2026, GPT-6 Astra leads the Noometry Index with a score of 70.8, ahead of Claude Fable 5.1 at 69.0. 71 models ranked with sources.
- Canonical page: https://noometry.com/best/large-context-window
- Last updated: 2026-10-10
- Title: Best LLMs With a 1M+ Token Context Window (October 2026)

As of October 2026, GPT-6 Astra leads the Noometry Index with a score of 70.8, ahead of Claude Fable 5.1 at 69.0.

Last verified October 10, 2026

Ranked models that accept at least one million tokens of input.

Best LLMs With a 1M+ Token Context Window: top 10

1.  GPT-6 Astra 70.8
2.  Claude Fable 5.1 69.0
3.  Claude Opus 5.5 68.6
4.  Claude Opus 5 67.8
5.  Claude Fable 5 66.8
6.  GPT-6.1 Sol 65.6
7.  GPT-5.6 Sol 65.0
8.  GPT-5.5 Pro 64.3
9.  GPT-5.5 63.4
10.  Claude Sonnet 5.5 61.9
11.  5560657075

## Full ranking

   71 models

Best LLMs With a 1M+ Token Context Window
|  |  |  |  |  |  |  |  |  |  |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | OpenAI [GPT-6 Astra](https://noometry.com/models/gpt-6-astra) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 1.05M | 70.8 | $10 | $50 | 3.54 | — |
| 2 | Anthropic [Claude Fable 5.1](https://noometry.com/models/claude-fable-5-1) | [Anthropic](https://noometry.com/providers/anthropic) | Proprietary | 1M | 69.0 | $10 | $50 | 3.45 | — |
| 3 | Anthropic [Claude Opus 5.5](https://noometry.com/models/claude-opus-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | Proprietary | 1M | 68.6 | $4 | $20 | 8.57 | — |
| 4 | Anthropic [Claude Opus 5](https://noometry.com/models/claude-opus-5) | [Anthropic](https://noometry.com/providers/anthropic) | Proprietary | 1M | 67.8 | $5 | $25 | 6.78 | — |
| 5 | Anthropic [Claude Fable 5](https://noometry.com/models/claude-fable-5) | [Anthropic](https://noometry.com/providers/anthropic) | Proprietary | 1M | 66.8 | $10 | $50 | 3.34 | 25 |
| 6 | OpenAI [GPT-6.1 Sol](https://noometry.com/models/gpt-6-1-sol) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 1.05M | 65.6 | $2 | $10 | 16.4 | — |
| 7 | OpenAI [GPT-5.6 Sol](https://noometry.com/models/gpt-5-6-sol) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 1.05M | 65.0 | $4 | $20 | 8.12 | 10 |
| 8 | OpenAI [GPT-5.5 Pro](https://noometry.com/models/gpt-5-5-pro) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 1.05M | 64.3 | $30 | $180 | 0.95 | — |
| 9 | OpenAI [GPT-5.5](https://noometry.com/models/gpt-5-5) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 1.05M | 63.4 | $5 | $30 | 5.63 | 25 |
| 10 | Anthropic [Claude Sonnet 5.5](https://noometry.com/models/claude-sonnet-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | Proprietary | 1M | 61.9 | $2 | $10 | 15.5 | — |
| 11 |  ![](/logos/google.svg) Google [Gemini 3.8 Flash](https://noometry.com/models/gemini-3-8-flash) | [Google](https://noometry.com/providers/google) | Proprietary | 1.05M | 61.8 | $0.75 | $3.75 | 41.2 | — |
| 12 | OpenAI [GPT-6 Sol](https://noometry.com/models/gpt-6-sol) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 1.05M | 61.8 | $2 | $10 | 15.4 | — |
| 13 | Anthropic [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8) | [Anthropic](https://noometry.com/providers/anthropic) | Proprietary | 1M | 60.7 | $5 | $25 | 6.07 | 34 |
| 14 |  ![](/logos/google.svg) Google [Gemini 3.7 Flash](https://noometry.com/models/gemini-3-7-flash) | [Google](https://noometry.com/providers/google) | Proprietary | 1.05M | 59.8 | $0.75 | $3.75 | 39.9 | — |
| 15 | Moonshot AI [Kimi K3](https://noometry.com/models/kimi-k3) | [Moonshot AI](https://noometry.com/providers/moonshot) | Open | 1.05M | 59.5 | $3 | $15 | 9.92 | — |
| 16 | OpenAI [GPT-5.4](https://noometry.com/models/gpt-5-4) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 1.05M | 59.4 | $2.50 | $15 | 10.6 | 12 |
| 17 | OpenAI [GPT-5.6 Terra](https://noometry.com/models/gpt-5-6-terra) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 1.05M | 59.2 | $2 | $12 | 13.1 | 11 |
| 18 | OpenAI [GPT-5.4 Pro](https://noometry.com/models/gpt-5-4-pro) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 1.05M | 58.9 | $30 | $180 | 0.87 | — |
| 19 | Anthropic [Claude Opus 4.7](https://noometry.com/models/claude-opus-4-7) | [Anthropic](https://noometry.com/providers/anthropic) | Proprietary | 1M | 58.3 | $5 | $25 | 5.83 | 33 |
| 20 | Anthropic [Claude Opus 4.6](https://noometry.com/models/claude-opus-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | Proprietary | 1M | 58.2 | $5 | $25 | 5.82 | 19 |
| 21 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3.8 Max](https://noometry.com/models/qwen3-8-max) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Proprietary | 1M | 56.8 | $2 | $6 | 18.9 | — |
| 22 |  ![](/logos/google.svg) Google [Gemini 3.1 Pro Preview](https://noometry.com/models/gemini-3-1-pro-preview) | [Google](https://noometry.com/providers/google) | Proprietary | 1.05M | 56.7 | $2 | $12 | 12.6 | — |
| 23 | Z.ai (Zhipu) [GLM-5.3](https://noometry.com/models/glm-5-3) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | Open | 1M | 54.8 | $1.40 | $4.40 | 25.5 | — |
| 24 |  ![](/logos/meta.svg) Meta [Muse Spark 1.3](https://noometry.com/models/muse-spark-1-3) | [Meta](https://noometry.com/providers/meta) | Proprietary | 1.05M | 54.8 | $1.25 | $4.25 | 27.4 | — |
| 25 | Anthropic [Claude Sonnet 5](https://noometry.com/models/claude-sonnet-5) | [Anthropic](https://noometry.com/providers/anthropic) | Proprietary | 1M | 54.6 | $2 | $10 | 13.7 | — |
| 26 | OpenAI [GPT-5.6 Luna](https://noometry.com/models/gpt-5-6-luna) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 1.05M | 54.6 | $0.20 | $1.20 | 121 | 12 |
| 27 |  ![](/logos/deepseek.svg) DeepSeek [DeepSeek V4 Pro](https://noometry.com/models/deepseek-v4-pro) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | 1M | 54.3 | $0.66 | $1.98 | 54.9 | 16 |
| 28 |  ![](/logos/google.svg) Google [Gemini 3.5 Flash](https://noometry.com/models/gemini-3-5-flash) | [Google](https://noometry.com/providers/google) | Proprietary | 1.05M | 54.2 | $1.50 | $9 | 16.1 | — |
| 29 |  ![](/logos/google.svg) Google [Gemini 3.6 Flash](https://noometry.com/models/gemini-3-6-flash) | [Google](https://noometry.com/providers/google) | Proprietary | 1.05M | 54.1 | $0.75 | $3.75 | 36.1 | — |
| 30 |  ![](/logos/deepseek.svg) DeepSeek [DeepSeek V4 Flash](https://noometry.com/models/deepseek-v4-flash) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | 1M | 53.6 | $0.15 | $0.60 | 204 | 6 |
| 31 | OpenAI [GPT-6 Luna](https://noometry.com/models/gpt-6-luna) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 1.05M | 53.3 | $0.10 | $0.50 | 266 | — |
| 32 |  ![](/logos/deepseek.svg) DeepSeek [DeepSeek V4.1 Flash](https://noometry.com/models/deepseek-v4-1-flash) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | 1M | 52.8 | $0.15 | $0.60 | 201 | — |
| 33 |  ![](/logos/google.svg) Google [Gemini 3 Flash Preview](https://noometry.com/models/gemini-3-flash-preview) | [Google](https://noometry.com/providers/google) | Proprietary | 1.05M | 52.3 | $0.50 | $3 | 46.5 | — |
| 34 | Z.ai (Zhipu) [GLM-5.3-Flash](https://noometry.com/models/glm-5-3-flash) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | Open | 1M | 51.8 | $0.15 | $0.50 | 218 | — |
| 35 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3.7 Max](https://noometry.com/models/qwen3-7-max) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Proprietary | 1M | 51.5 | $2.50 | $7.50 | 13.7 | — |
| 36 | Z.ai (Zhipu) [GLM-5.2](https://noometry.com/models/glm-5-2) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | Open | 1M | 51.1 | $1.40 | $4.40 | 23.8 | 23 |
| 37 |  ![](/logos/meta.svg) Meta [Muse Spark 1.2](https://noometry.com/models/muse-spark-1-2) | [Meta](https://noometry.com/providers/meta) | Proprietary | 1.05M | 50.3 | $1.25 | $4.25 | 25.2 | — |
| 38 | Xiaomi [MiMo-V2.6-Pro](https://noometry.com/models/mimo-v2-6-pro) | [Xiaomi](https://noometry.com/providers/xiaomi) | Open | 1.05M | 50.3 | $0.43 | $0.87 | 92.5 | — |
| 39 | Anthropic [Claude Sonnet 4.6](https://noometry.com/models/claude-sonnet-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | Proprietary | 1M | 50.3 | $3 | $15 | 8.38 | — |
| 40 |  ![](/logos/meta.svg) Meta [Muse Spark 1.1](https://noometry.com/models/muse-spark-1-1) | [Meta](https://noometry.com/providers/meta) | Proprietary | 1.05M | 49.9 | $1.25 | $4.25 | 25 | — |
| 41 | Anthropic [Claude Haiku 5.5](https://noometry.com/models/claude-haiku-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | Proprietary | 1M | 49.5 | $0.10 | $0.50 | 247 | — |
| 42 | xAI [Grok 4.20 (Non-Reasoning)](https://noometry.com/models/grok-4-20) | [xAI](https://noometry.com/providers/xai) | Proprietary | 1M | 48.6 | $1.25 | $2.50 | 31.1 | 61 |
| 43 | Xiaomi [MiMo-V2.6-Flash](https://noometry.com/models/mimo-v2-6-flash) | [Xiaomi](https://noometry.com/providers/xiaomi) | Open | 1.05M | 48.5 | $0.14 | $0.28 | 277 | — |
| 44 |  ![](/logos/stepfun.svg) StepFun [Step 5 Preview](https://noometry.com/models/step-5-preview) | [StepFun](https://noometry.com/providers/stepfun) | Proprietary | 1.02M | 47.9 | $1 | $2.70 | 33.6 | — |
| 45 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3.6 Plus](https://noometry.com/models/qwen3-6-plus) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Proprietary | 1M | 47.5 | $0.50 | $3 | 42.2 | — |
| 46 | xAI [Grok 4.20 Multi-Agent](https://noometry.com/models/grok-4-20-multi-agent) | [xAI](https://noometry.com/providers/xai) | Proprietary | 1M | 46.2 | $1.25 | $2.50 | 29.6 | — |
| 47 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3.7 Plus](https://noometry.com/models/qwen3-7-plus) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Proprietary | 1M | 45.3 | $0.40 | $1.60 | 64.8 | — |
| 48 |  ![](/logos/tencent.svg) Tencent [Hy4 preview](https://noometry.com/models/hy4-preview) | [Tencent](https://noometry.com/providers/tencent) | Open | 1.05M | 45.3 | $0.75 | $2.25 | 40.2 | — |
| 49 | Xiaomi [MiMo-V2.5-Pro](https://noometry.com/models/mimo-v2-5-pro) | [Xiaomi](https://noometry.com/providers/xiaomi) | Open | 1.05M | 45.2 | $0.43 | $0.87 | 83.2 | — |
| 50 |  ![](/logos/google.svg) Google [Gemini 2.5 Pro](https://noometry.com/models/gemini-2-5-pro) | [Google](https://noometry.com/providers/google) | Proprietary | 1.05M | 45.0 | $1.25 | $10 | 13.1 | 5 |
| 51 |  ![](/logos/minimax.svg) MiniMax [MiniMax-M3](https://noometry.com/models/minimax-m3) | [MiniMax](https://noometry.com/providers/minimax) | Open | 1M | 43.8 | $0.30 | $1.20 | 83.4 | — |
| 52 | xAI [Grok 4.3](https://noometry.com/models/grok-4-3) | [xAI](https://noometry.com/providers/xai) | Proprietary | 1M | 43.8 | $1.25 | $2.50 | 28 | — |
| 53 | Xiaomi [MiMo-V2.5](https://noometry.com/models/mimo-v2-5) | [Xiaomi](https://noometry.com/providers/xiaomi) | Open | 1.05M | 43.4 | $0.14 | $0.28 | 248 | — |
| 54 |  ![](/logos/mistral.svg) Mistral AI [Mistral Large 4](https://noometry.com/models/mistral-large-4) | [Mistral AI](https://noometry.com/providers/mistral) | Proprietary | 1.05M | 43.1 | $0.68 | $2.09 | 41.7 | — |
| 55 | Xiaomi [MiMo-V2-Pro](https://noometry.com/models/mimo-v2-pro) | [Xiaomi](https://noometry.com/providers/xiaomi) | Proprietary | 1.05M | 43.0 | $0.43 | $0.87 | 79 | — |
| 56 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3.5 Plus](https://noometry.com/models/qwen3-5-plus) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Proprietary | 1M | 42.9 | $0.40 | $2.40 | 47.6 | — |
| 57 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3.5-Flash](https://noometry.com/models/qwen3-5-flash) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Proprietary | 1M | 42.5 | $0.10 | $0.40 | 243 | — |
| 58 |  ![](/logos/google.svg) Google [Gemini 3.5 Flash Lite](https://noometry.com/models/gemini-3-5-flash-lite) | [Google](https://noometry.com/providers/google) | Proprietary | 1.05M | 41.5 | $0.30 | $2.50 | 48.8 | — |
| 59 |  ![](/logos/google.svg) Google [Gemini 3.1 Flash Lite](https://noometry.com/models/gemini-3-1-flash-lite) | [Google](https://noometry.com/providers/google) | Proprietary | 1.05M | 40.8 | $0.25 | $1.50 | 72.5 | 10 |
| 60 |  ![](/logos/minimax.svg) MiniMax [MiniMax M1](https://noometry.com/models/minimax-m1) | [MiniMax](https://noometry.com/providers/minimax) | Open | 1M | 40.3 | $0.55 | $2.20 | 41.9 | — |
| 61 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3.7 Flash](https://noometry.com/models/qwen3-7-flash) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Proprietary | 1M | 39.9 | $0.03 | $0.13 | 726 | — |
| 62 | Amazon [Nova 2 Lite](https://noometry.com/models/nova-2-lite) | [Amazon](https://noometry.com/providers/amazon) | Proprietary | 1M | 39.7 | $0.30 | $2.50 | 46.7 | — |
| 63 |  ![](/logos/google.svg) Google [Gemini 2.5 Flash](https://noometry.com/models/gemini-2-5-flash) | [Google](https://noometry.com/providers/google) | Proprietary | 1.05M | 39.3 | $0.30 | $2.50 | 46.2 | 152 |
| 64 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3.6 Flash](https://noometry.com/models/qwen3-6-flash) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Proprietary | 1M | 38.8 | $0.19 | $1.13 | 91.9 | — |
| 65 | Amazon [Nova Premier 1.0](https://noometry.com/models/nova-premier-1-0) | [Amazon](https://noometry.com/providers/amazon) | Proprietary | 1M | 38.3 | $2.50 | $12.50 | 7.67 | 9 |
| 66 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen Plus](https://noometry.com/models/qwen-plus) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Proprietary | 1M | 37.1 | $0.40 | $1.20 | 61.8 | 37 |
| 67 |  ![](/logos/google.svg) Google [Gemini 2.5 Flash-Lite](https://noometry.com/models/gemini-2-5-flash-lite) | [Google](https://noometry.com/providers/google) | Proprietary | 1.05M | 37.0 | $0.10 | $0.40 | 211 | 172 |
| 68 | OpenAI [GPT-4.1](https://noometry.com/models/gpt-4-1) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 1.05M | 35.9 | $2 | $8 | 10.3 | 116 |
| 69 | OpenAI [GPT-4.1 mini](https://noometry.com/models/gpt-4-1-mini) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 1.05M | 33.6 | $0.40 | $1.60 | 48.1 | 86 |
| 70 | OpenAI [GPT-4.1 nano](https://noometry.com/models/gpt-4-1-nano) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 1.05M | 27.9 | $0.10 | $0.40 | 159 | 135 |
| 71 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen Turbo](https://noometry.com/models/qwen-turbo) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Proprietary | 1M | 27.1 | $0.05 | $0.20 | 310 | — |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Compare the leaders

-   [GPT-6 Astra vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-gpt-6-astra)
-   [GPT-6 Astra vs Claude Opus 5.5](https://noometry.com/compare/claude-opus-5-5-vs-gpt-6-astra)
-   [GPT-6 Astra vs Claude Opus 5](https://noometry.com/compare/claude-opus-5-vs-gpt-6-astra)
-   [Claude Fable 5.1 vs Claude Opus 5.5](https://noometry.com/compare/claude-fable-5-1-vs-claude-opus-5-5)
-   [Claude Fable 5.1 vs Claude Opus 5](https://noometry.com/compare/claude-fable-5-1-vs-claude-opus-5)
-   [Claude Opus 5.5 vs Claude Opus 5](https://noometry.com/compare/claude-opus-5-vs-claude-opus-5-5)

## Related rankings

## Frequently asked questions

### Which AI models have the largest context window?

As of October 2026, GPT-6 Astra leads the Noometry Index with a score of 70.8, ahead of Claude Fable 5.1 at 69.0.

### What are the top 5 in this ranking?

GPT-6 Astra, Claude Fable 5.1, Claude Opus 5.5, Claude Opus 5, Claude Fable 5, in that order, as of October 2026.

### How is this list ranked?

By the Noometry Index, which is fitted from every public benchmark result and adjusted for how hard each benchmark is. Models need several independent results to be ranked.

### Cite this page

Noometry. (2026). Best LLMs With a 1M+ Token Context Window. Retrieved October 10, 2026, from https://noometry.com/best/large-context-window

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/best/large-context-window.md).