Noometry Index

# LLM Leaderboard: October 2026

> 354 AI models ranked on 93 public benchmarks across 10 categories, with API prices, context windows and a source for every score.
- Canonical page: https://noometry.com/
- Last updated: 2026-10-10
- Title: LLM Leaderboard October 2026: Best AI Models Ranked

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

-   **354** ranked models
-   **514** tracked
-   **93** scored benchmarks
-   **12,766** results
-   **10** categories

## Quick picks

[Best overall **GPT-6 Astra** Index 70.8](https://noometry.com/models/gpt-6-astra)[Best open-weight **Kimi K3** #15 overall](https://noometry.com/models/kimi-k3)[Best value **Hy3** $0.0825 / $0.33 per M](https://noometry.com/models/hy3)[Largest context **GPT-6 Astra** 1.05M tokens](https://noometry.com/models/gpt-6-astra)

## Overall ranking

Scores are the [Noometry Index](https://noometry.com/methodology), from 0 to 100. Prices are per million tokens. Value is score for the money: higher means more capability per dollar. Speed is how many tokens per second the model writes.

   354 models

LLM leaderboard, October 2026
|  |  |  |  |  |  |  |  |  |  |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 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 | xAI [Grok 4.6](https://noometry.com/models/grok-4-6) | [xAI](https://noometry.com/providers/xai) | Proprietary | 500K | 56.9 | $2 | $6 | 19 | — |
| 22 |  ![](/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 | — |
| 23 |  ![](/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 | — |
| 24 |  ![](/logos/google.svg) Google [Gemini 4 Argon](https://noometry.com/models/gemini-4-argon) | [Google](https://noometry.com/providers/google) | Proprietary | — | 56.5 | — | — | — | — |
| 25 | xAI [Grok 4.5](https://noometry.com/models/grok-4-5) | [xAI](https://noometry.com/providers/xai) | Proprietary | 500K | 55.0 | $2 | $6 | 18.3 | 4 |
| 26 | 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 | — |
| 27 |  ![](/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 | — |
| 28 |  ![](/logos/google.svg) Google [Gemini 3 Pro](https://noometry.com/models/gemini-3-pro) | [Google](https://noometry.com/providers/google) | Proprietary | — | 54.8 | — | — | — | 1 |
| 29 | 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 | — |
| 30 | 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 |
| 31 |  ![](/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 |
| 32 |  ![](/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 | — |
| 33 |  ![](/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 | — |
| 34 | OpenAI [GPT-5.2](https://noometry.com/models/gpt-5-2) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 400K | 54.1 | $1.75 | $14 | 11.2 | 15 |
| 35 |  ![](/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 |
| 36 | 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 | — |
| 37 | xAI [Grok 4.7](https://noometry.com/models/grok-4-7) | [xAI](https://noometry.com/providers/xai) | Proprietary | 500K | 53.1 | $2 | $6 | 17.7 | — |
| 38 |  ![](/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 | — |
| 39 | OpenAI [GPT-5.2 Pro](https://noometry.com/models/gpt-5-2-pro) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 400K | 52.3 | $21 | $168 | 0.91 | — |
| 40 |  ![](/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 | — |
| 41 | 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 | — |
| 42 |  ![](/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 | — |
| 43 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3.6 Max Preview](https://noometry.com/models/qwen3-6-max-preview) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Proprietary | 262K | 51.5 | $1.30 | $7.80 | 17.6 | — |
| 44 | 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 |
| 45 | OpenAI [GPT-5](https://noometry.com/models/gpt-5) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 400K | 50.9 | $1.25 | $10 | 14.8 | 2 |
| 46 |  ![](/logos/meta.svg) Meta [Muse Spark](https://noometry.com/models/muse-spark) | [Meta](https://noometry.com/providers/meta) | Proprietary | — | 50.6 | — | — | — | — |
| 47 | Anthropic [Claude Opus 4.5](https://noometry.com/models/claude-opus-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | Proprietary | 200K | 50.5 | $5 | $25 | 5.05 | 13 |
| 48 |  ![](/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 | — |
| 49 | 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 | — |
| 50 | 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 | — |
| 51 |  ![](/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 | — |
| 52 | 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 | — |
| 53 | OpenAI [GPT-5.1](https://noometry.com/models/gpt-5-1) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 400K | 49.0 | $1.25 | $10 | 14.3 | — |
| 54 | 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 |
| 55 | 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 | — |
| 56 | xAI [Grok 4](https://noometry.com/models/grok-4) | [xAI](https://noometry.com/providers/xai) | Proprietary | — | 48.1 | — | — | — | 1 |
| 57 | Moonshot AI [Kimi K2.5](https://noometry.com/models/kimi-k2-5) | [Moonshot AI](https://noometry.com/providers/moonshot) | Open | 262K | 48.1 | $0.45 | $2.25 | 53.4 | 66 |
| 58 |  ![](/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 | — |
| 59 | Z.ai (Zhipu) [GLM-5.1](https://noometry.com/models/glm-5-1) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | Open | 200K | 47.8 | $1.40 | $4.40 | 22.2 | — |
| 60 | Moonshot AI [Kimi K2.6](https://noometry.com/models/kimi-k2-6) | [Moonshot AI](https://noometry.com/providers/moonshot) | Open | 262K | 47.7 | $0.95 | $4 | 27.8 | — |
| 61 | OpenAI [o3](https://noometry.com/models/o3) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 200K | 47.5 | $2 | $8 | 13.6 | 3 |
| 62 |  ![](/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 | — |
| 63 | T Thinking Machines Lab [Inkling-Small](https://noometry.com/models/inkling-small) | [Thinking Machines Lab](https://noometry.com/providers/thinking-machines) | Open | 524K | 46.5 | $0.45 | $1.20 | 72.9 | — |
| 64 | OpenAI [GPT-5 Pro](https://noometry.com/models/gpt-5-pro) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 400K | 46.4 | $15 | $120 | 1.12 | 5 |
| 65 | 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 | — |
| 66 | Z.ai (Zhipu) [GLM-5](https://noometry.com/models/glm-5) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | Open | 205K | 46.1 | $1 | $3.20 | 29.7 | 23 |
| 67 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3.5 397B-A17B](https://noometry.com/models/qwen3-5-397b-a17b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 262K | 46.0 | $0.60 | $3.60 | 34.1 | 9 |
| 68 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3.8 27B](https://noometry.com/models/qwen3-8-27b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 262K | 46.0 | $0.99 | $1.49 | 41.2 | — |
| 69 | OpenAI [GPT-5.3 Codex](https://noometry.com/models/gpt-5-3-codex) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 400K | 45.8 | $1.75 | $14 | 9.52 | — |
| 70 | Moonshot AI [Kimi K2 Thinking Turbo](https://noometry.com/models/kimi-k2-thinking-turbo) | [Moonshot AI](https://noometry.com/providers/moonshot) | Open | — | 45.8 | — | — | — | — |
| 71 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3.5 Max Preview](https://noometry.com/models/qwen3-5-max-preview) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Proprietary | — | 45.3 | — | — | — | — |
| 72 |  ![](/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 | — |
| 73 |  ![](/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 | — |
| 74 | 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 | — |
| 75 |  ![](/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 |
| 76 | OpenAI [GPT-5.4 mini](https://noometry.com/models/gpt-5-4-mini) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 400K | 45.0 | $0.75 | $4.50 | 26.6 | 10 |
| 77 | Amazon [Amazon Nova Experimental Chat 26 02 10](https://noometry.com/models/amazon-nova-experimental-chat-26-02-10) | [Amazon](https://noometry.com/providers/amazon) | Proprietary | — | 44.5 | — | — | — | — |
| 78 |  ![](/logos/deepseek.svg) DeepSeek [DeepSeek-V3.2-Exp](https://noometry.com/models/deepseek-v3-2-exp) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | 164K | 44.3 | $0.26 | $0.38 | 153 | 16 |
| 79 |  ![](/logos/tencent.svg) Tencent [Hy3](https://noometry.com/models/hy3) | [Tencent](https://noometry.com/providers/tencent) | Open | 262K | 44.2 | $0.0825 | $0.33 | 306 | — |
| 80 | T Thinking Machines Lab [Inkling](https://noometry.com/models/inkling) | [Thinking Machines Lab](https://noometry.com/providers/thinking-machines) | Open | 66K | 44.1 | $1.87 | $4.68 | 17.1 | — |
| 81 | Anthropic [Claude Sonnet 4.5](https://noometry.com/models/claude-sonnet-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | Proprietary | 200K | 44.1 | $3 | $15 | 7.35 | 85 |
| 82 | OpenAI [Chatgpt 4o Latest 20250326](https://noometry.com/models/chatgpt-4o) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | — | 43.8 | — | — | — | 21 |
| 83 |  ![](/logos/baidu.svg) Baidu [ERNIE 5.1](https://noometry.com/models/ernie-5-1) | [Baidu](https://noometry.com/providers/baidu) | Proprietary | — | 43.8 | — | — | — | — |
| 84 | Z.ai (Zhipu) [GLM-5V-Turbo](https://noometry.com/models/glm-5v-turbo) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | Proprietary | 200K | 43.8 | $1.20 | $4 | 23 | — |
| 85 |  ![](/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 | — |
| 86 | 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 | — |
| 87 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3 Max](https://noometry.com/models/qwen3-max) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Proprietary | 262K | 43.7 | $1.20 | $6 | 18.2 | 48 |
| 88 | Xiaomi [MiMo-V2-Omni](https://noometry.com/models/mimo-v2-omni) | [Xiaomi](https://noometry.com/providers/xiaomi) | Proprietary | 262K | 43.6 | $0.14 | $0.28 | 249 | — |
| 89 | Moonshot AI [Kimi K2.5 Instant](https://noometry.com/models/kimi-k2-5-instant) | [Moonshot AI](https://noometry.com/providers/moonshot) | Open | — | 43.6 | — | — | — | — |
| 90 |  ![](/logos/google.svg) Google [Gemma 4 31B IT](https://noometry.com/models/gemma-4-31b-it) | [Google](https://noometry.com/providers/google) | Open | 262K | 43.5 | $0.09 | $0.34 | 286 | 3 |
| 91 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3 235B-A22B](https://noometry.com/models/qwen3-235b-a22b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 131K | 43.5 | $0.70 | $2.80 | 35.5 | 85 |
| 92 |  ![](/logos/google.svg) Google [Gemma 4 26B A4B IT](https://noometry.com/models/gemma-4-26b-a4b-it) | [Google](https://noometry.com/providers/google) | Open | 262K | 43.5 | $0.0675 | $0.23 | 407 | — |
| 93 | 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 | — |
| 94 | Moonshot AI [Kimi K2.7 Code](https://noometry.com/models/kimi-k2-7-code) | [Moonshot AI](https://noometry.com/providers/moonshot) | Open | 262K | 43.3 | $0.95 | $4 | 25.3 | — |
| 95 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3-VL 235B-A22B](https://noometry.com/models/qwen3-vl-235b-a22b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 131K | 43.2 | $0.70 | $2.80 | 35.3 | — |
| 96 |  ![](/logos/bytedance.svg) ByteDance Seed [Seed 2.0 Pro](https://noometry.com/models/dola-seed-2-0-pro) | [ByteDance Seed](https://noometry.com/providers/bytedance) | Proprietary | 256K | 43.2 | $0.50 | $3 | 38.4 | — |
| 97 |  ![](/logos/deepseek.svg) DeepSeek [DeepSeek-V3.1-Terminus](https://noometry.com/models/deepseek-v3-1-terminus) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | 164K | 43.1 | $0.27 | $1 | 95.4 | 30 |
| 98 |  ![](/logos/tencent.svg) Tencent [Hunyuan Vision 1.5](https://noometry.com/models/hunyuan-vision-1-5) | [Tencent](https://noometry.com/providers/tencent) | Proprietary | — | 43.1 | — | — | — | — |
| 99 |  ![](/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 | — |
| 100 | Anthropic [Claude Opus 4](https://noometry.com/models/claude-opus-4) | [Anthropic](https://noometry.com/providers/anthropic) | Proprietary | 200K | 43.1 | $15 | $75 | 1.44 | 29 |
| 101 | Amazon [Amazon Nova Experimental Chat 11 10](https://noometry.com/models/amazon-nova-experimental-chat-11-10) | [Amazon](https://noometry.com/providers/amazon) | Proprietary | — | 43.0 | — | — | — | — |
| 102 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3-Next 80B-A3B Instruct](https://noometry.com/models/qwen3-next-80b-a3b-instruct) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 131K | 43.0 | $0.50 | $2 | 49.2 | 111 |
| 103 | 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 | — |
| 104 | Amazon [Amazon Nova Experimental Chat 12 10](https://noometry.com/models/amazon-nova-experimental-chat-12-10) | [Amazon](https://noometry.com/providers/amazon) | Proprietary | — | 42.9 | — | — | — | — |
| 105 | OpenAI [o3-pro](https://noometry.com/models/o3-pro) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 200K | 42.9 | $20 | $80 | 1.23 | 1 |
| 106 |  ![](/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 | — |
| 107 | Amazon [Amazon Nova Experimental Chat 26 01 10](https://noometry.com/models/amazon-nova-experimental-chat-26-01-10) | [Amazon](https://noometry.com/providers/amazon) | Proprietary | — | 42.8 | — | — | — | — |
| 108 |  ![](/logos/deepseek.svg) DeepSeek [DeepSeek-V3.1](https://noometry.com/models/deepseek-v3-1) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | 164K | 42.8 | $0.25 | $0.95 | 101 | 328 |
| 109 | OpenAI [GPT-5.3 Chat](https://noometry.com/models/gpt-5-3-chat) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 128K | 42.8 | $1.75 | $14 | 8.88 | — |
| 110 | OpenAI [GPT-5.5 Instant](https://noometry.com/models/gpt-5-5-instant) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | — | 42.7 | — | — | — | — |
| 111 | OpenAI [GPT-5.2 Codex](https://noometry.com/models/gpt-5-2-codex) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 400K | 42.6 | $1.75 | $14 | 8.84 | — |
| 112 |  ![](/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 | — |
| 113 |  ![](/logos/nvidia.svg) NVIDIA [Nemotron 3 Ultra](https://noometry.com/models/nemotron-3-ultra) | [NVIDIA](https://noometry.com/providers/nvidia) | Open | 262K | 42.5 | $0.50 | $2.20 | 45.9 | — |
| 114 |  ![](/logos/tencent.svg) Tencent [Hunyuan T1 20250711](https://noometry.com/models/hunyuan-t1) | [Tencent](https://noometry.com/providers/tencent) | Proprietary | — | 42.5 | — | — | — | — |
| 115 |  ![](/logos/deepseek.svg) DeepSeek [DeepSeek-R1](https://noometry.com/models/deepseek-r1) | [DeepSeek](https://noometry.com/providers/deepseek) | Proprietary | 164K | 42.3 | $0.50 | $2.15 | 46.4 | 10 |
| 116 |  ![](/logos/stepfun.svg) StepFun [Step 3.5 Flash](https://noometry.com/models/step-3-5-flash) | [StepFun](https://noometry.com/providers/stepfun) | Open | 256K | 42.3 | $0.10 | $0.30 | 282 | — |
| 117 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3.6 27B](https://noometry.com/models/qwen3-6-27b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 262K | 42.2 | $0.60 | $3.60 | 31.3 | — |
| 118 | Amazon [Amazon Nova Experimental Chat 10 20](https://noometry.com/models/amazon-nova-experimental-chat-10-20) | [Amazon](https://noometry.com/providers/amazon) | Proprietary | — | 42.1 | — | — | — | — |
| 119 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3.5 122B-A10B](https://noometry.com/models/qwen3-5-122b-a10b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 262K | 42.1 | $0.40 | $3.20 | 38.3 | — |
| 120 | Meituan [Longcat Flash Chat](https://noometry.com/models/longcat-flash-chat) | [Meituan](https://noometry.com/providers/meituan) | Open | — | 42.1 | — | — | — | 69 |
| 121 |  ![](/logos/upstage.svg) Upstage [Solar Pro4](https://noometry.com/models/solar-pro4) | [Upstage](https://noometry.com/providers/upstage) | Proprietary | 524K | 42.1 | $0.30 | $1.20 | 80.2 | — |
| 122 | Z.ai (Zhipu) [GLM-4.5](https://noometry.com/models/glm-4-5) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | Open | 131K | 42.0 | $0.60 | $2.20 | 42 | 32 |
| 123 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3.5 35B-A3B](https://noometry.com/models/qwen3-5-35b-a3b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 262K | 42.0 | $0.25 | $2 | 61 | — |
| 124 | Z.ai (Zhipu) [GLM-4.7](https://noometry.com/models/glm-4-7) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | Open | 205K | 42.0 | $0.60 | $2.20 | 42 | — |
| 125 | OpenAI [GPT-5.4 nano](https://noometry.com/models/gpt-5-4-nano) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 400K | 41.9 | $0.20 | $1.25 | 90.6 | 19 |
| 126 | Amazon [Amazon Nova Experimental Chat 10 09](https://noometry.com/models/amazon-nova-experimental-chat-10-09) | [Amazon](https://noometry.com/providers/amazon) | Proprietary | — | 41.9 | — | — | — | — |
| 127 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3.5 27B](https://noometry.com/models/qwen3-5-27b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 262K | 41.9 | $0.30 | $2.40 | 50.7 | — |
| 128 | OpenAI [GPT-5 Mini](https://noometry.com/models/gpt-5-mini) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 400K | 41.8 | $0.25 | $2 | 60.9 | 3 |
| 129 |  ![](/logos/baidu.svg) Baidu [ERNIE 5.0 0110](https://noometry.com/models/ernie-5-0) | [Baidu](https://noometry.com/providers/baidu) | Proprietary | — | 41.8 | — | — | — | — |
| 130 | IBM [Granite 4.2 30b](https://noometry.com/models/granite-4-2-30b) | [IBM](https://noometry.com/providers/ibm) | Open | — | 41.8 | — | — | — | — |
| 131 |  ![](/logos/meta.svg) Meta [Muse Glimmer](https://noometry.com/models/muse-glimmer) | [Meta](https://noometry.com/providers/meta) | Open | — | 41.7 | — | — | — | — |
| 132 | OpenAI [o4-mini](https://noometry.com/models/o4-mini) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 200K | 41.6 | $1.10 | $4.40 | 21.6 | 6 |
| 133 |  ![](/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 | — |
| 134 | xAI [Grok 4.1](https://noometry.com/models/grok-4-1) | [xAI](https://noometry.com/providers/xai) | Proprietary | — | 41.5 | — | — | — | — |
| 135 | Z.ai (Zhipu) [GLM-4.6](https://noometry.com/models/glm-4-6) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | Open | 205K | 41.4 | $0.60 | $2.20 | 41.4 | 12 |
| 136 | xAI [Grok 4.1 Fast](https://noometry.com/models/grok-4-1-fast) | [xAI](https://noometry.com/providers/xai) | Proprietary | 128K | 41.4 | $0.20 | $0.50 | 150 | — |
| 137 | Z.ai (Zhipu) [GLM-4.6V](https://noometry.com/models/glm-4-6v) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | Open | 128K | 41.3 | $0.30 | $0.90 | 91.8 | — |
| 138 | Xiaomi [MiMo-V2-Flash](https://noometry.com/models/mimo-v2-flash) | [Xiaomi](https://noometry.com/providers/xiaomi) | Open | 262K | 41.3 | $0.14 | $0.28 | 236 | — |
| 139 |  ![](/logos/tencent.svg) Tencent [Hunyuan Turbos 20250226](https://noometry.com/models/hunyuan-turbos) | [Tencent](https://noometry.com/providers/tencent) | Proprietary | — | 41.3 | — | — | — | — |
| 140 | Moonshot AI [Kimi K2 (Jul 2025)](https://noometry.com/models/kimi-k2) | [Moonshot AI](https://noometry.com/providers/moonshot) | Open | 262K | 41.2 | $0.57 | $2.30 | 41.1 | 201 |
| 141 | xAI [Grok-3 mini](https://noometry.com/models/grok-3-mini) | [xAI](https://noometry.com/providers/xai) | Proprietary | — | 41.2 | — | — | — | 10 |
| 142 | Anthropic [Claude Opus 4.1](https://noometry.com/models/claude-opus-4-1) | [Anthropic](https://noometry.com/providers/anthropic) | Proprietary | 200K | 41.0 | $15 | $75 | 1.37 | — |
| 143 | OpenAI [o1](https://noometry.com/models/o1) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 200K | 40.9 | $15 | $60 | 1.56 | — |
| 144 |  ![](/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 |
| 145 | Anthropic [Claude Sonnet 4](https://noometry.com/models/claude-sonnet-4) | [Anthropic](https://noometry.com/providers/anthropic) | Proprietary | 200K | 40.8 | $3 | $15 | 6.79 | 31 |
| 146 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen2.5-Max](https://noometry.com/models/qwen2-5-max) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Proprietary | — | 40.7 | — | — | — | — |
| 147 |  ![](/logos/nvidia.svg) NVIDIA [Nemotron 3 Nano 30B A3B](https://noometry.com/models/nemotron-3-nano-30b-a3b) | [NVIDIA](https://noometry.com/providers/nvidia) | Open | 262K | 40.6 | $0.05 | $0.20 | 464 | — |
| 148 | IBM [Granite 4.2 8B](https://noometry.com/models/granite-4-2-8b) | [IBM](https://noometry.com/providers/ibm) | Open | 131K | 40.5 | $0.06 | $0.25 | 377 | — |
| 149 |  ![](/logos/stepfun.svg) StepFun [Step 3](https://noometry.com/models/step-3) | [StepFun](https://noometry.com/providers/stepfun) | Open | — | 40.5 | — | — | — | 7 |
| 150 |  ![](/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 | — |
| 151 |  ![](/logos/nvidia.svg) NVIDIA [Nvidia Llama 3.3 Nemotron Super 49b v1.5](https://noometry.com/models/nvidia-llama-3-3-nemotron-super-49b-v1-5) | [NVIDIA](https://noometry.com/providers/nvidia) | Open | 131K | 40.3 | $0.40 | $0.40 | 101 | — |
| 152 |  ![](/logos/mistral.svg) Mistral AI [Mistral Medium 3.5](https://noometry.com/models/mistral-medium-3-5) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 262K | 40.2 | $1.50 | $7.50 | 13.4 | 50 |
| 153 |  ![](/logos/nvidia.svg) NVIDIA [Nemotron 3 Super](https://noometry.com/models/nemotron-3-super) | [NVIDIA](https://noometry.com/providers/nvidia) | Open | 262K | 40.1 | $0.08 | $0.45 | 233 | — |
| 154 |  ![](/logos/nvidia.svg) NVIDIA [Llama 3.3 Nemotron 49b Super v1](https://noometry.com/models/llama-3-3-nemotron-49b-super-v1) | [NVIDIA](https://noometry.com/providers/nvidia) | Open | — | 40.1 | — | — | — | — |
| 155 |  ![](/logos/nvidia.svg) NVIDIA [Nemotron 3.5 Lightning](https://noometry.com/models/nemotron-3-5-lightning) | [NVIDIA](https://noometry.com/providers/nvidia) | Open | 262K | 40.0 | $0.05 | $0.20 | 457 | — |
| 156 |  ![](/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 | — |
| 157 | xAI [Grok 3](https://noometry.com/models/grok-3) | [xAI](https://noometry.com/providers/xai) | Proprietary | — | 39.9 | — | — | — | 42 |
| 158 | Z.ai (Zhipu) [GLM-4.5V](https://noometry.com/models/glm-4-5v) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | Open | 64K | 39.8 | $0.60 | $1.80 | 44.2 | 34 |
| 159 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [QwQ-32B](https://noometry.com/models/qwq-32b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | — | 39.8 | — | — | — | — |
| 160 |  ![](/logos/stepfun.svg) StepFun [Step 1o Turbo 202506](https://noometry.com/models/step-1o-turbo-202506) | [StepFun](https://noometry.com/providers/stepfun) | Proprietary | — | 39.7 | — | — | — | — |
| 161 | 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 | — |
| 162 |  ![](/logos/deepseek.svg) DeepSeek [DeepSeek-V3.2-Speciale](https://noometry.com/models/deepseek-v3-2-speciale) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | 128K | 39.7 | $0.58 | $1.68 | 46.4 | — |
| 163 |  ![](/logos/tencent.svg) Tencent [Hunyuan Turbo 0110](https://noometry.com/models/hunyuan-turbo) | [Tencent](https://noometry.com/providers/tencent) | Proprietary | — | 39.6 | — | — | — | — |
| 164 | Anthropic [Claude 3.7 Sonnet](https://noometry.com/models/claude-3-7-sonnet) | [Anthropic](https://noometry.com/providers/anthropic) | Proprietary | — | 39.5 | — | — | — | — |
| 165 | Anthropic [Claude Haiku 4.5](https://noometry.com/models/claude-haiku-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | Proprietary | 200K | 39.5 | $1 | $5 | 19.8 | — |
| 166 |  ![](/logos/deepseek.svg) DeepSeek [DeepSeek-V3](https://noometry.com/models/deepseek-v3) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | 164K | 39.5 | $0.24 | $0.90 | 97.5 | 73 |
| 167 | xAI [Grok 4 Fast](https://noometry.com/models/grok-4-fast) | [xAI](https://noometry.com/providers/xai) | Proprietary | — | 39.4 | — | — | — | 577 |
| 168 |  ![](/logos/ai2.svg) Allen Institute for AI (Ai2) [Olmo 3.1 32b Instruct](https://noometry.com/models/olmo-3-1-32b-instruct) | [Allen Institute for AI (Ai2)](https://noometry.com/providers/ai2) | Open | — | 39.4 | — | — | — | — |
| 169 | IBM [Granite 4.2 3b](https://noometry.com/models/granite-4-2-3b) | [IBM](https://noometry.com/providers/ibm) | Open | — | 39.4 | — | — | — | — |
| 170 |  ![](/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 |
| 171 |  ![](/logos/stepfun.svg) StepFun [Step 2 16k Exp 202412](https://noometry.com/models/step-2-16k-exp-202412) | [StepFun](https://noometry.com/providers/stepfun) | Proprietary | — | 39.2 | — | — | — | — |
| 172 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3 32B](https://noometry.com/models/qwen3-32b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 131K | 39.2 | $0.70 | $2.80 | 32 | 86 |
| 173 |  ![](/logos/google.svg) Google [Gemini 2.0 Pro](https://noometry.com/models/gemini-2-0-pro) | [Google](https://noometry.com/providers/google) | Proprietary | — | 39.1 | — | — | — | — |
| 174 |  ![](/logos/ai2.svg) Allen Institute for AI (Ai2) [Molmo 2 8b](https://noometry.com/models/molmo-2-8b) | [Allen Institute for AI (Ai2)](https://noometry.com/providers/ai2) | Open | — | 39.1 | — | — | — | — |
| 175 | Inception [Mercury 2](https://noometry.com/models/mercury-2) | [Inception](https://noometry.com/providers/inception) | Proprietary | 128K | 39.1 | $0.25 | $0.75 | 104 | — |
| 176 |  ![](/logos/mistral.svg) Mistral AI [Mistral Large 3](https://noometry.com/models/mistral-large-3) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 262K | 39.1 | $0.25 | $0.75 | 104 | 7 |
| 177 | Z.ai (Zhipu) [GLM-4.5-Air](https://noometry.com/models/glm-4-5-air) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | Open | 131K | 38.9 | $0.20 | $1.10 | 91.6 | 160 |
| 178 |  ![](/logos/minimax.svg) MiniMax [MiniMax-M2.1](https://noometry.com/models/minimax-m2-1) | [MiniMax](https://noometry.com/providers/minimax) | Open | 205K | 38.9 | $0.30 | $1.20 | 74.2 | — |
| 179 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3-30B-A3B](https://noometry.com/models/qwen3-30b-a3b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 41K | 38.9 | $0.12 | $0.50 | 181 | 42 |
| 180 | Z.ai (Zhipu) [GLM-4.7-Flash](https://noometry.com/models/glm-4-7-flash) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | Open | 200K | 38.8 | $0.06 | $0.40 | 268 | — |
| 181 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen2.5 Plus 1127](https://noometry.com/models/qwen2-5-plus) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Proprietary | — | 38.8 | — | — | — | — |
| 182 |  ![](/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 | — |
| 183 |  ![](/logos/ai2.svg) Allen Institute for AI (Ai2) [Olmo 3 32b Think](https://noometry.com/models/olmo-3-32b-think) | [Allen Institute for AI (Ai2)](https://noometry.com/providers/ai2) | Open | — | 38.7 | — | — | — | — |
| 184 |  ![](/logos/tencent.svg) Tencent [Hunyuan Large 2025 02 10](https://noometry.com/models/hunyuan-large) | [Tencent](https://noometry.com/providers/tencent) | Proprietary | — | 38.6 | — | — | — | — |
| 185 |  ![](/logos/arcee.svg) Arcee AI [Trinity Large Thinking](https://noometry.com/models/trinity-large-thinking) | [Arcee AI](https://noometry.com/providers/arcee) | Open | 262K | 38.6 | $0.25 | $0.80 | 99.7 | — |
| 186 | OpenAI [GPT-5.1-Codex](https://noometry.com/models/gpt-5-1-codex) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 400K | 38.6 | $1.25 | $10 | 11.2 | — |
| 187 |  ![](/logos/perplexity.svg) Perplexity [Sonar](https://noometry.com/models/sonar) | [Perplexity](https://noometry.com/providers/perplexity) | Proprietary | 128K | 38.5 | $1 | $1 | 38.5 | — |
| 188 |  ![](/logos/minimax.svg) MiniMax [MiniMax-M2.5](https://noometry.com/models/minimax-m2-5) | [MiniMax](https://noometry.com/providers/minimax) | Open | 205K | 38.3 | $0.30 | $1.20 | 73 | 49 |
| 189 | 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 |
| 190 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3-Coder 480B-A35B Instruct](https://noometry.com/models/qwen3-coder-480b-a35b-instruct) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 262K | 38.1 | $1.50 | $7.50 | 12.7 | 67 |
| 191 |  ![](/logos/ai2.svg) Allen Institute for AI (Ai2) [Olmo 3.1 32b Think](https://noometry.com/models/olmo-3-1-32b-think) | [Allen Institute for AI (Ai2)](https://noometry.com/providers/ai2) | Open | — | 37.9 | — | — | — | — |
| 192 | OpenAI [GPT-5-Codex](https://noometry.com/models/gpt-5-codex) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 400K | 37.9 | $1.25 | $10 | 11 | 95 |
| 193 |  ![](/logos/tencent.svg) Tencent [Hunyuan Standard 2025 02 10](https://noometry.com/models/hunyuan-standard) | [Tencent](https://noometry.com/providers/tencent) | Proprietary | — | 37.9 | — | — | — | — |
| 194 |  ![](/logos/google.svg) Google [Gemini 2.0 Flash-Lite](https://noometry.com/models/gemini-2-0-flash-lite) | [Google](https://noometry.com/providers/google) | Proprietary | — | 37.8 | — | — | — | — |
| 195 |  ![](/logos/deepseek.svg) DeepSeek [DeepSeek-R1-Distill-Llama-70B](https://noometry.com/models/deepseek-r1-distill-llama-70b) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | — | 37.8 | — | — | — | 18 |
| 196 |  ![](/logos/minimax.svg) MiniMax [MiniMax-M2.7](https://noometry.com/models/minimax-m2-7) | [MiniMax](https://noometry.com/providers/minimax) | Open | 205K | 37.7 | $0.30 | $1.20 | 71.9 | — |
| 197 |  ![](/logos/google.svg) Google [Gemini Advanced 0514](https://noometry.com/models/gemini-advanced) | [Google](https://noometry.com/providers/google) | Proprietary | — | 37.7 | — | — | — | — |
| 198 | xAI [Grok 2 Mini 2024 08 13](https://noometry.com/models/grok-2-mini) | [xAI](https://noometry.com/providers/xai) | Proprietary | — | 37.7 | — | — | — | — |
| 199 | Inception [Mercury](https://noometry.com/models/mercury) | [Inception](https://noometry.com/providers/inception) | Proprietary | — | 37.6 | — | — | — | 35 |
| 200 |  ![](/logos/deepseek.svg) DeepSeek [DeepSeek-V2.5 (Sep 2024)](https://noometry.com/models/deepseek-v2-5) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | — | 37.6 | — | — | — | — |
| 201 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3.6 35B-A3B](https://noometry.com/models/qwen3-6-35b-a3b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 262K | 37.6 | $0.25 | $1.49 | 67.5 | — |
| 202 |  ![](/logos/tencent.svg) Tencent [Hunyuan Large Vision](https://noometry.com/models/hunyuan-large-vision) | [Tencent](https://noometry.com/providers/tencent) | Proprietary | — | 37.6 | — | — | — | — |
| 203 |  ![](/logos/nvidia.svg) NVIDIA [Llama 3.1 Nemotron 70b Instruct](https://noometry.com/models/llama-3-1-nemotron-70b-instruct) | [NVIDIA](https://noometry.com/providers/nvidia) | Open | — | 37.6 | — | — | — | — |
| 204 |  ![](/logos/minimax.svg) MiniMax [MiniMax-M2](https://noometry.com/models/minimax-m2) | [MiniMax](https://noometry.com/providers/minimax) | Open | 205K | 37.4 | $0.30 | $1.20 | 71.2 | 17 |
| 205 | IBM [Granite 4.1 8b](https://noometry.com/models/granite-4-1-8b) | [IBM](https://noometry.com/providers/ibm) | Open | — | 37.4 | — | — | — | — |
| 206 |  ![](/logos/google.svg) Google [Gemma 3n E4b IT](https://noometry.com/models/gemma-3n-e4b-it) | [Google](https://noometry.com/providers/google) | Open | — | 37.3 | — | — | — | 13 |
| 207 |  ![](/logos/stepfun.svg) StepFun [Step 3.7 Flash](https://noometry.com/models/step-3-7-flash) | [StepFun](https://noometry.com/providers/stepfun) | Open | 256K | 37.3 | $0.18 | $1.11 | 89.6 | — |
| 208 | OpenAI [GPT-4.5](https://noometry.com/models/gpt-4-5) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | — | 37.2 | — | — | — | — |
| 209 | 01.AI [Yi-Lightning](https://noometry.com/models/yi-lightning) | [01.AI](https://noometry.com/providers/01-ai) | Proprietary | — | 37.1 | — | — | — | — |
| 210 |  ![](/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 |
| 211 |  ![](/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 |
| 212 | OpenAI [o3-mini](https://noometry.com/models/o3-mini) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 200K | 36.7 | $1.10 | $4.40 | 19.1 | — |
| 213 |  ![](/logos/nvidia.svg) NVIDIA [Llama 3.1 Nemotron Ultra 253b v1](https://noometry.com/models/llama-3-1-nemotron-ultra-253b-v1) | [NVIDIA](https://noometry.com/providers/nvidia) | Open | — | 36.7 | — | — | — | — |
| 214 | IBM [Granite 4.0 H Small](https://noometry.com/models/ibm-granite-h-small) | [IBM](https://noometry.com/providers/ibm) | Open | — | 36.5 | — | — | — | — |
| 215 |  ![](/logos/cohere.svg) Cohere [Command A](https://noometry.com/models/command-a) | [Cohere](https://noometry.com/providers/cohere) | Open | 256K | 36.5 | $2.50 | $10 | 8.33 | 28 |
| 216 | xAI [Grok Build 0.1](https://noometry.com/models/grok-build-0-1) | [xAI](https://noometry.com/providers/xai) | Proprietary | 256K | 36.4 | $1 | $2 | 29.1 | — |
| 217 | OpenAI [gpt-oss-120b](https://noometry.com/models/gpt-oss-120b) | [OpenAI](https://noometry.com/providers/openai) | Open | 131K | 36.3 | $0.037 | $0.17 | 517 | 55 |
| 218 |  ![](/logos/mistral.svg) Mistral AI [Mistral Medium](https://noometry.com/models/mistral-medium) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 262K | 36.3 | $1.50 | $7.50 | 12.1 | 68 |
| 219 | 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 |
| 220 |  ![](/logos/deepseek.svg) DeepSeek [Deepseek Coder v2](https://noometry.com/models/deepseek-coder-v2) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | — | 35.9 | — | — | — | — |
| 221 |  ![](/logos/cohere.svg) Cohere [C4ai Aya Expanse 32b](https://noometry.com/models/c4ai-aya-expanse-32b) | [Cohere](https://noometry.com/providers/cohere) | Open | 128K | 35.9 | — | — | — | — |
| 222 |  ![](/logos/nvidia.svg) NVIDIA [Llama 3.1 Nemotron 51b Instruct](https://noometry.com/models/llama-3-1-nemotron-51b-instruct) | [NVIDIA](https://noometry.com/providers/nvidia) | Open | — | 35.9 | — | — | — | — |
| 223 |  ![](/logos/nvidia.svg) NVIDIA [Nemotron 4 340b Instruct](https://noometry.com/models/nemotron-4-340b-instruct) | [NVIDIA](https://noometry.com/providers/nvidia) | Open | — | 35.9 | — | — | — | — |
| 224 |  ![](/logos/ai2.svg) Allen Institute for AI (Ai2) [Llama 3.1 Tulu 3 8b](https://noometry.com/models/llama-3-1-tulu-3-8b) | [Allen Institute for AI (Ai2)](https://noometry.com/providers/ai2) | Open | — | 35.7 | — | — | — | — |
| 225 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3 14B](https://noometry.com/models/qwen3-14b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 131K | 35.5 | $0.35 | $1.40 | 57.9 | 79 |
| 226 |  ![](/logos/deepseek.svg) DeepSeek [DeepSeek-R1-Distill-Qwen-32B](https://noometry.com/models/deepseek-r1-distill-qwen-32b) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | — | 35.5 | — | — | — | — |
| 227 |  ![](/logos/mistral.svg) Mistral AI [Magistral Medium](https://noometry.com/models/magistral-medium) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 262K | 35.2 | $2 | $5 | 12.8 | 0 |
| 228 |  ![](/logos/google.svg) Google [Gemini 2.0 Flash (Feb 2025)](https://noometry.com/models/gemini-2-0-flash) | [Google](https://noometry.com/providers/google) | Proprietary | — | 35.1 | — | — | — | 92 |
| 229 |  ![](/logos/cohere.svg) Cohere [C4ai Aya Expanse 8b](https://noometry.com/models/c4ai-aya-expanse-8b) | [Cohere](https://noometry.com/providers/cohere) | Open | — | 34.9 | — | — | — | — |
| 230 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen Max](https://noometry.com/models/qwen-max) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Proprietary | 33K | 34.7 | $1.60 | $6.40 | 12.4 | — |
| 231 | Anthropic [Claude 3.5 Sonnet](https://noometry.com/models/claude-3-5-sonnet) | [Anthropic](https://noometry.com/providers/anthropic) | Proprietary | — | 34.6 | — | — | — | — |
| 232 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3 Coder Next](https://noometry.com/models/qwen3-coder-next) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 262K | 34.3 | $0.12 | $0.80 | 118 | — |
| 233 |  ![](/logos/mistral.svg) Mistral AI [Devstral Small 2505](https://noometry.com/models/devstral-small) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 128K | 34.3 | $0.10 | $0.30 | 229 | 88 |
| 234 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen1.5-110B](https://noometry.com/models/qwen1-5-110b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | — | 34.2 | — | — | — | — |
| 235 | OpenAI [o1-mini](https://noometry.com/models/o1-mini) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | — | 34.0 | — | — | — | — |
| 236 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3.5-9B](https://noometry.com/models/qwen3-5-9b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 262K | 33.8 | $0.10 | $0.15 | 300 | — |
| 237 |  ![](/logos/meta.svg) Meta [Codellama 70b Instruct](https://noometry.com/models/codellama-70b-instruct) | [Meta](https://noometry.com/providers/meta) | Open | — | 33.7 | — | — | — | — |
| 238 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3 8B](https://noometry.com/models/qwen3-8b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 131K | 33.7 | $0.18 | $0.70 | 109 | — |
| 239 | xAI [Grok-2 (Dec 2024)](https://noometry.com/models/grok-2) | [xAI](https://noometry.com/providers/xai) | Proprietary | — | 33.7 | — | — | — | — |
| 240 | 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 |
| 241 | OpenAI [GPT-5 Nano](https://noometry.com/models/gpt-5-nano) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 400K | 33.5 | $0.05 | $0.40 | 244 | 4 |
| 242 | Inception [Mercury 2.5](https://noometry.com/models/mercury-2-5) | [Inception](https://noometry.com/providers/inception) | Proprietary | 260K | 33.5 | $0.04 | $0.15 | 496 | — |
| 243 |  ![](/logos/mistral.svg) Mistral AI [Mistral Small](https://noometry.com/models/mistral-small) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 262K | 33.4 | $0.15 | $0.60 | 127 | 120 |
| 244 | Amazon [Nova 2.0 Pro Preview](https://noometry.com/models/nova-2-0-pro-preview) | [Amazon](https://noometry.com/providers/amazon) | Proprietary | — | 33.4 | — | — | — | — |
| 245 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen2.5-Coder-32B](https://noometry.com/models/qwen2-5-coder-32b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 33K | 33.4 | $0.66 | $1 | 44.8 | — |
| 246 |  ![](/logos/google.svg) Google [Gemini 1.5 Flash (May 2024)](https://noometry.com/models/gemini-1-5-flash) | [Google](https://noometry.com/providers/google) | Proprietary | — | 33.2 | — | — | — | — |
| 247 | IBM [Granite 3.1 2b Instruct](https://noometry.com/models/granite-3-1-2b-instruct) | [IBM](https://noometry.com/providers/ibm) | Open | — | 33.2 | — | — | — | — |
| 248 |  ![](/logos/google.svg) Google [Gemma 2 2b IT](https://noometry.com/models/gemma-2-2b-it) | [Google](https://noometry.com/providers/google) | Open | — | 33.1 | — | — | — | — |
| 249 |  ![](/logos/microsoft.svg) Microsoft [Wizardlm 70b](https://noometry.com/models/wizardlm-70b) | [Microsoft](https://noometry.com/providers/microsoft) | Open | — | 33.0 | — | — | — | — |
| 250 |  ![](/logos/microsoft.svg) Microsoft [Phi 3 Medium 4k Instruct](https://noometry.com/models/phi-3-medium-4k-instruct) | [Microsoft](https://noometry.com/providers/microsoft) | Open | — | 33.0 | — | — | — | — |
| 251 |  ![](/logos/ai2.svg) Allen Institute for AI (Ai2) [Tulu 3 (Tülu 3) 70B](https://noometry.com/models/tulu-3-70b) | [Allen Institute for AI (Ai2)](https://noometry.com/providers/ai2) | Open | — | 33.0 | — | — | — | — |
| 252 |  ![](/logos/deepseek.svg) DeepSeek [DeepSeek-R1-Distill-Qwen-14B](https://noometry.com/models/deepseek-r1-distill-qwen-14b) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | — | 32.7 | — | — | — | — |
| 253 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen1.5-14B](https://noometry.com/models/qwen1-5-14b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | — | 32.7 | — | — | — | — |
| 254 |  ![](/logos/ai2.svg) Allen Institute for AI (Ai2) [Olmo 2 0325 32b Instruct](https://noometry.com/models/olmo-2-0325-32b-instruct) | [Allen Institute for AI (Ai2)](https://noometry.com/providers/ai2) | Open | — | 32.7 | — | — | — | — |
| 255 | OpenAI [gpt-oss-20b](https://noometry.com/models/gpt-oss-20b) | [OpenAI](https://noometry.com/providers/openai) | Open | 131K | 32.5 | $0.018 | $0.09 | 903 | 96 |
| 256 |  ![](/logos/poolside.svg) Poolside [Laguna M.1](https://noometry.com/models/laguna-m-1) | [Poolside](https://noometry.com/providers/poolside) | Open | 262K | 32.5 | — | — | — | — |
| 257 |  ![](/logos/cohere.svg) Cohere [Command R+](https://noometry.com/models/command-r-plus) | [Cohere](https://noometry.com/providers/cohere) | Open | 128K | 32.4 | $2.50 | $10 | 7.41 | — |
| 258 | IBM [Granite 3.1 8b Instruct](https://noometry.com/models/granite-3-1-8b-instruct) | [IBM](https://noometry.com/providers/ibm) | Open | — | 32.4 | — | — | — | — |
| 259 |  ![](/logos/mistral.svg) Mistral AI [Pixtral Large](https://noometry.com/models/pixtral-large) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 128K | 32.2 | $2 | $6 | 10.7 | — |
| 260 |  ![](/logos/tii.svg) Technology Innovation Institute [Falcon-180B](https://noometry.com/models/falcon-180b) | [Technology Innovation Institute](https://noometry.com/providers/tii) | Open | — | 32.2 | — | — | — | — |
| 261 |  ![](/logos/google.svg) Google [Gemini 1.5 Pro (May 2024)](https://noometry.com/models/gemini-1-5-pro) | [Google](https://noometry.com/providers/google) | Proprietary | — | 32.1 | — | — | — | — |
| 262 |  ![](/logos/google.svg) Google [Gemma 3 12B](https://noometry.com/models/gemma-3-12b) | [Google](https://noometry.com/providers/google) | Open | 131K | 32.1 | $0.05 | $0.15 | 428 | — |
| 263 |  ![](/logos/mistral.svg) Mistral AI [Mistral Large](https://noometry.com/models/mistral-large) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 131K | 31.9 | $2 | $6 | 10.6 | — |
| 264 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3-4B](https://noometry.com/models/qwen3-4b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | — | 31.9 | — | — | — | — |
| 265 | Amazon [Amazon Nova Lite](https://noometry.com/models/amazon-nova-lite) | [Amazon](https://noometry.com/providers/amazon) | Proprietary | 300K | 31.9 | $0.06 | $0.24 | 304 | — |
| 266 |  ![](/logos/mistral.svg) Mistral AI [Mistral Medium 3.1](https://noometry.com/models/mistral-medium-3-1) | [Mistral AI](https://noometry.com/providers/mistral) | Proprietary | 131K | 31.9 | $0.40 | $2 | 39.8 | — |
| 267 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen2.5 72B Instruct](https://noometry.com/models/qwen2-5-72b-instruct) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 131K | 31.9 | $1.40 | $5.60 | 13 | — |
| 268 |  ![](/logos/nvidia.svg) NVIDIA [Llama2 70b Steerlm Chat](https://noometry.com/models/llama2-70b-steerlm-chat) | [NVIDIA](https://noometry.com/providers/nvidia) | Open | — | 31.8 | — | — | — | — |
| 269 |  ![](/logos/mistral.svg) Mistral AI [Mistral Small 3.1](https://noometry.com/models/mistral-small-3-1) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 128K | 31.7 | $0.35 | $0.56 | 78.8 | — |
| 270 | IBM [Granite 3.0 8b Instruct](https://noometry.com/models/granite-3-0-8b-instruct) | [IBM](https://noometry.com/providers/ibm) | Open | — | 31.6 | — | — | — | — |
| 271 | OpenAI [o1-pro](https://noometry.com/models/o1-pro) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 200K | 31.5 | $150 | $600 | 0.12 | — |
| 272 |  ![](/logos/cohere.svg) Cohere [Command R](https://noometry.com/models/command-r) | [Cohere](https://noometry.com/providers/cohere) | Open | 128K | 31.4 | $0.15 | $0.60 | 120 | — |
| 273 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen1.5-7B](https://noometry.com/models/qwen1-5-7b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | — | 31.4 | — | — | — | — |
| 274 |  ![](/logos/microsoft.svg) Microsoft [Wizardlm 13b](https://noometry.com/models/wizardlm-13b) | [Microsoft](https://noometry.com/providers/microsoft) | Open | — | 31.4 | — | — | — | — |
| 275 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen-14B](https://noometry.com/models/qwen-14b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | — | 31.4 | — | — | — | — |
| 276 |  ![](/logos/microsoft.svg) Microsoft [Phi 3 Mini 4k Instruct June 2024](https://noometry.com/models/phi-3-mini-4k-instruct-june) | [Microsoft](https://noometry.com/providers/microsoft) | Open | — | 31.3 | — | — | — | — |
| 277 |  ![](/logos/google.svg) Google [Gemma 1.1 7b IT](https://noometry.com/models/gemma-1-1-7b-it) | [Google](https://noometry.com/providers/google) | Open | — | 31.3 | — | — | — | — |
| 278 |  ![](/logos/mistral.svg) Mistral AI [Mistral Small 3](https://noometry.com/models/mistral-small-3) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 33K | 31.2 | $0.05 | $0.08 | 543 | — |
| 279 |  ![](/logos/microsoft.svg) Microsoft [Phi-4](https://noometry.com/models/phi-4) | [Microsoft](https://noometry.com/providers/microsoft) | Open | 128K | 31.2 | $0.07 | $0.14 | 357 | — |
| 280 |  ![](/logos/mistral.svg) Mistral AI [Mistral Small 3.2](https://noometry.com/models/mistral-small-3-2) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 256K | 31.2 | $0.0938 | $0.25 | 235 | 68 |
| 281 | Amazon [Amazon Nova Pro](https://noometry.com/models/amazon-nova-pro) | [Amazon](https://noometry.com/providers/amazon) | Proprietary | 300K | 31.0 | $0.80 | $3.20 | 22.1 | — |
| 282 |  ![](/logos/meta.svg) Meta [Llama 4 Maverick](https://noometry.com/models/llama-4-maverick) | [Meta](https://noometry.com/providers/meta) | Open | 128K | 30.9 | $0.19 | $0.65 | 102 | 456 |
| 283 |  ![](/logos/microsoft.svg) Microsoft [Phi-4 Mini](https://noometry.com/models/phi-4-mini) | [Microsoft](https://noometry.com/providers/microsoft) | Open | 128K | 30.9 | $0.075 | $0.30 | 235 | — |
| 284 |  ![](/logos/google.svg) Google [Gemma 3 27B](https://noometry.com/models/gemma-3-27b) | [Google](https://noometry.com/providers/google) | Open | 131K | 30.8 | $0.08 | $0.16 | 308 | 62 |
| 285 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen1.5-72B](https://noometry.com/models/qwen1-5-72b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | — | 30.8 | — | — | — | — |
| 286 | IBM [Granite 3.0 2b Instruct](https://noometry.com/models/granite-3-0-2b-instruct) | [IBM](https://noometry.com/providers/ibm) | Open | — | 30.8 | — | — | — | — |
| 287 |  ![](/logos/meta.svg) Meta [Codellama 34b Instruct](https://noometry.com/models/codellama-34b-instruct) | [Meta](https://noometry.com/providers/meta) | Open | — | 30.8 | — | — | — | — |
| 288 |  ![](/logos/meta.svg) Meta [Llama 3.1-405B](https://noometry.com/models/llama-3-1-405b) | [Meta](https://noometry.com/providers/meta) | Open | — | 30.7 | — | — | — | 78 |
| 289 | 01.AI [Yi-1.5-34B](https://noometry.com/models/yi-1-5-34b) | [01.AI](https://noometry.com/providers/01-ai) | Open | — | 30.6 | — | — | — | — |
| 290 |  ![](/logos/mistral.svg) Mistral AI [Codestral](https://noometry.com/models/codestral) | [Mistral AI](https://noometry.com/providers/mistral) | Proprietary | 256K | 30.6 | $0.30 | $0.90 | 68 | 271 |
| 291 |  ![](/logos/meta.svg) Meta [Llama-3.3-70B-Instruct](https://noometry.com/models/llama-3-3-70b-instruct) | [Meta](https://noometry.com/providers/meta) | Open | 128K | 30.6 | $0.10 | $0.32 | 197 | — |
| 292 | OpenAI [GPT-4 Turbo](https://noometry.com/models/gpt-4-turbo) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 128K | 30.5 | $10 | $30 | 2.03 | — |
| 293 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen1.5-32B](https://noometry.com/models/qwen1-5-32b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | — | 30.5 | — | — | — | — |
| 294 | Amazon [Amazon Nova Micro](https://noometry.com/models/amazon-nova-micro) | [Amazon](https://noometry.com/providers/amazon) | Proprietary | 128K | 30.4 | $0.035 | $0.14 | 496 | — |
| 295 |  ![](/logos/ai2.svg) Allen Institute for AI (Ai2) [Olmo 7b Instruct](https://noometry.com/models/olmo-7b-instruct) | [Allen Institute for AI (Ai2)](https://noometry.com/providers/ai2) | Open | — | 30.3 | — | — | — | — |
| 296 |  ![](/logos/mistral.svg) Mistral AI [Magistral Small](https://noometry.com/models/magistral-small) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 128K | 30.2 | $0.50 | $1.50 | 40.3 | 0 |
| 297 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen2.5 32B Instruct](https://noometry.com/models/qwen2-5-32b-instruct) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 131K | 30.1 | $0.70 | $2.80 | 24.6 | — |
| 298 |  ![](/logos/google.svg) Google [Palm 2](https://noometry.com/models/palm-2) | [Google](https://noometry.com/providers/google) | Proprietary | — | 30.0 | — | — | — | — |
| 299 |  ![](/logos/google.svg) Google [Gemma 7B](https://noometry.com/models/gemma-7b) | [Google](https://noometry.com/providers/google) | Open | — | 30.0 | — | — | — | — |
| 300 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen2-72B](https://noometry.com/models/qwen2-72b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | — | 30.0 | — | — | — | — |
| 301 |  ![](/logos/google.svg) Google [Gemini 1.5 Flash 8B](https://noometry.com/models/gemini-1-5-flash-8b) | [Google](https://noometry.com/providers/google) | Proprietary | — | 29.9 | — | — | — | — |
| 302 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen2.5-VL 72B Instruct](https://noometry.com/models/qwen2-5-vl-72b-instruct) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 131K | 29.9 | $2.80 | $8.40 | 7.13 | 43 |
| 303 |  ![](/logos/mistral.svg) Mistral AI [Mistral](https://noometry.com/models/mistral) | [Mistral AI](https://noometry.com/providers/mistral) | Proprietary | — | 29.9 | — | — | — | — |
| 304 |  ![](/logos/ai2.svg) Allen Institute for AI (Ai2) [OLMo 2 Furious 13B](https://noometry.com/models/olmo-2-furious-13b) | [Allen Institute for AI (Ai2)](https://noometry.com/providers/ai2) | Open | — | 29.7 | — | — | — | — |
| 305 |  ![](/logos/microsoft.svg) Microsoft [Phi 3 Mini 128k Instruct](https://noometry.com/models/phi-3-mini-128k-instruct) | [Microsoft](https://noometry.com/providers/microsoft) | Open | — | 29.7 | — | — | — | — |
| 306 |  ![](/logos/microsoft.svg) Microsoft [phi-3-medium 14B](https://noometry.com/models/phi-3-medium-14b) | [Microsoft](https://noometry.com/providers/microsoft) | Open | — | 29.7 | — | — | — | — |
| 307 |  ![](/logos/google.svg) Google [Gemma 2B](https://noometry.com/models/gemma-2b) | [Google](https://noometry.com/providers/google) | Open | — | 29.6 | — | — | — | — |
| 308 |  ![](/logos/meta.svg) Meta [Llama 3.1-70B](https://noometry.com/models/llama-3-1-70b) | [Meta](https://noometry.com/providers/meta) | Open | 128K | 29.6 | $0.40 | $0.40 | 74.1 | — |
| 309 |  ![](/logos/meta.svg) Meta [Llama 2-13B](https://noometry.com/models/llama-2-13b) | [Meta](https://noometry.com/providers/meta) | Open | — | 29.6 | — | — | — | — |
| 310 | Anthropic [Claude 3 Opus](https://noometry.com/models/claude-3-opus) | [Anthropic](https://noometry.com/providers/anthropic) | Proprietary | — | 29.5 | — | — | — | — |
| 311 |  ![](/logos/databricks.svg) Databricks [DBRX](https://noometry.com/models/dbrx) | [Databricks](https://noometry.com/providers/databricks) | Open | — | 29.4 | — | — | — | — |
| 312 |  ![](/logos/google.svg) Google [Gemma 2 27B](https://noometry.com/models/gemma-2-27b) | [Google](https://noometry.com/providers/google) | Open | 8K | 29.4 | $0.65 | $0.65 | 45.2 | — |
| 313 |  ![](/logos/google.svg) Google [Gemma 1.1 2b IT](https://noometry.com/models/gemma-1-1-2b-it) | [Google](https://noometry.com/providers/google) | Open | — | 29.3 | — | — | — | — |
| 314 |  ![](/logos/microsoft.svg) Microsoft [Phi 3 Small 8k Instruct](https://noometry.com/models/phi-3-small-8k-instruct) | [Microsoft](https://noometry.com/providers/microsoft) | Open | — | 29.3 | — | — | — | — |
| 315 | Anthropic [Claude 3.5 Haiku](https://noometry.com/models/claude-3-5-haiku) | [Anthropic](https://noometry.com/providers/anthropic) | Proprietary | — | 29.2 | — | — | — | — |
| 316 | OpenAI [GPT-4](https://noometry.com/models/gpt-4) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 8K | 29.1 | $30 | $60 | 0.78 | — |
| 317 |  ![](/logos/meta.svg) Meta [Llama 2-7B](https://noometry.com/models/llama-2-7b) | [Meta](https://noometry.com/providers/meta) | Open | — | 29.1 | — | — | — | — |
| 318 | IBM [Granite 4.0 Micro](https://noometry.com/models/granite-4-0-micro) | [IBM](https://noometry.com/providers/ibm) | Open | 131K | 29.0 | $0.017 | $0.11 | 713 | — |
| 319 | Anthropic [Claude 3 Sonnet](https://noometry.com/models/claude-3-sonnet) | [Anthropic](https://noometry.com/providers/anthropic) | Proprietary | — | 29.0 | — | — | — | — |
| 320 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen2.5 7B Instruct](https://noometry.com/models/qwen2-5-7b-instruct) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 131K | 29.0 | $0.17 | $0.70 | 94.6 | — |
| 321 |  ![](/logos/meta.svg) Meta [Llama 3.2 3B](https://noometry.com/models/llama-3-2-3b) | [Meta](https://noometry.com/providers/meta) | Open | 131K | 28.9 | $0.05 | $0.33 | 241 | — |
| 322 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen1.5 4b Chat](https://noometry.com/models/qwen1-5-4b-chat) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | — | 28.8 | — | — | — | — |
| 323 |  ![](/logos/meta.svg) Meta [Llama 3-70B](https://noometry.com/models/llama-3-70b) | [Meta](https://noometry.com/providers/meta) | Open | — | 28.8 | — | — | — | 104 |
| 324 | OpenAI [GPT-4o](https://noometry.com/models/gpt-4o) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 128K | 28.6 | $2.50 | $10 | 6.53 | — |
| 325 |  ![](/logos/mistral.svg) Mistral AI [Ministral 8B](https://noometry.com/models/ministral-8b) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 262K | 28.2 | $0.15 | $0.15 | 188 | — |
| 326 |  ![](/logos/google.svg) Google [Gemma 3 4B](https://noometry.com/models/gemma-3-4b) | [Google](https://noometry.com/providers/google) | Open | 131K | 28.1 | $0.04 | $0.08 | 563 | 72 |
| 327 | 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 |
| 328 |  ![](/logos/microsoft.svg) Microsoft [Phi 3 Mini 4k Instruct](https://noometry.com/models/phi-3-mini-4k-instruct) | [Microsoft](https://noometry.com/providers/microsoft) | Open | — | 27.9 | — | — | — | — |
| 329 | 01.AI [Yi-34B](https://noometry.com/models/yi-34b) | [01.AI](https://noometry.com/providers/01-ai) | Open | — | 27.8 | — | — | — | — |
| 330 |  ![](/logos/meta.svg) Meta [Llama 4 Scout](https://noometry.com/models/llama-4-scout) | [Meta](https://noometry.com/providers/meta) | Open | 128K | 27.7 | $0.10 | $0.30 | 184 | 272 |
| 331 |  ![](/logos/meta.svg) Meta [Llama 3.2 90B](https://noometry.com/models/llama-3-2-90b) | [Meta](https://noometry.com/providers/meta) | Open | — | 27.5 | — | — | — | — |
| 332 |  ![](/logos/google.svg) Google [Gemini 1.0 Pro](https://noometry.com/models/gemini-1-0-pro) | [Google](https://noometry.com/providers/google) | Proprietary | — | 27.3 | — | — | — | — |
| 333 |  ![](/logos/mistral.svg) Mistral AI [Mixtral 8x22B](https://noometry.com/models/mixtral-8x22b) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 64K | 27.1 | $2 | $6 | 9.05 | — |
| 334 |  ![](/logos/mistral.svg) Mistral AI [Mixtral 8x7B](https://noometry.com/models/mixtral-8x7b) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 32K | 27.1 | $0.70 | $0.70 | 38.8 | — |
| 335 |  ![](/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 | — |
| 336 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3-1.7B](https://noometry.com/models/qwen3-1-7b) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | — | 26.6 | — | — | — | — |
| 337 |  ![](/logos/mistral.svg) Mistral AI [Mistral Nemo](https://noometry.com/models/mistral-nemo) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 128K | 26.4 | $0.15 | $0.15 | 176 | — |
| 338 |  ![](/logos/mistral.svg) Mistral AI [Ministral 3B](https://noometry.com/models/ministral-3b) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 131K | 26.2 | $0.10 | $0.10 | 262 | — |
| 339 |  ![](/logos/deepseek.svg) DeepSeek [DeepSeek-R1-Distill-Qwen-1.5B](https://noometry.com/models/deepseek-r1-distill-qwen-1-5b) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | — | 26.1 | — | — | — | — |
| 340 | Anthropic [Claude 3 Haiku](https://noometry.com/models/claude-3-haiku) | [Anthropic](https://noometry.com/providers/anthropic) | Proprietary | — | 25.9 | — | — | — | 41 |
| 341 |  ![](/logos/google.svg) Google [Gemma 2 9B](https://noometry.com/models/gemma-2-9b) | [Google](https://noometry.com/providers/google) | Open | — | 25.9 | — | — | — | — |
| 342 |  ![](/logos/databricks.svg) Databricks [Dolly 2.0-12b](https://noometry.com/models/dolly-2-0-12b) | [Databricks](https://noometry.com/providers/databricks) | Open | — | 25.5 | — | — | — | — |
| 343 | OpenAI [GPT-4o mini](https://noometry.com/models/gpt-4o-mini) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 128K | 25.5 | $0.15 | $0.60 | 97.2 | 120 |
| 344 |  ![](/logos/meta.svg) Meta [Llama 3-8B](https://noometry.com/models/llama-3-8b) | [Meta](https://noometry.com/providers/meta) | Open | — | 25.5 | — | — | — | — |
| 345 | Anthropic [Claude 2.1](https://noometry.com/models/claude-2-1) | [Anthropic](https://noometry.com/providers/anthropic) | Proprietary | — | 25.2 | — | — | — | — |
| 346 | Anthropic [Claude 2](https://noometry.com/models/claude-2) | [Anthropic](https://noometry.com/providers/anthropic) | Proprietary | — | 25.0 | — | — | — | — |
| 347 |  ![](/logos/deepseek.svg) DeepSeek [DeepSeek LLM 67B](https://noometry.com/models/deepseek-llm-67b) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | — | 24.9 | — | — | — | — |
| 348 |  ![](/logos/meta.svg) Meta [Llama 13b](https://noometry.com/models/llama-13b) | [Meta](https://noometry.com/providers/meta) | Open | — | 24.4 | — | — | — | — |
| 349 |  ![](/logos/meta.svg) Meta [Llama 2-70B](https://noometry.com/models/llama-2-70b) | [Meta](https://noometry.com/providers/meta) | Open | — | 24.4 | — | — | — | — |
| 350 | OpenAI [GPT-3.5-turbo](https://noometry.com/models/gpt-3-5-turbo) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 16K | 23.2 | $0.50 | $1.50 | 31 | — |
| 351 |  ![](/logos/mistral.svg) Mistral AI [Mistral 7B](https://noometry.com/models/mistral-7b) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 8K | 23.0 | $0.25 | $0.25 | 92.2 | — |
| 352 |  ![](/logos/meta.svg) Meta [Llama 3.1-8B](https://noometry.com/models/llama-3-1-8b) | [Meta](https://noometry.com/providers/meta) | Open | 128K | 23.0 | $0.05 | $0.08 | 400 | — |
| 353 |  ![](/logos/google.svg) Google [Gemma 3 1B](https://noometry.com/models/gemma-3-1b) | [Google](https://noometry.com/providers/google) | Open | — | 21.1 | — | — | — | — |
| 354 |  ![](/logos/meta.svg) Meta [Llama 3.2 1B](https://noometry.com/models/llama-3-2-1b) | [Meta](https://noometry.com/providers/meta) | Open | 60K | 20.1 | $0.027 | $0.20 | 286 | — |

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

## Leaders by category

### [Coding](https://noometry.com/best/coding)

1.  [Claude Fable 5.1](https://noometry.com/models/claude-fable-5-1) 74.7
2.  [GPT-6 Astra](https://noometry.com/models/gpt-6-astra) 73.7
3.  [Claude Opus 5.5](https://noometry.com/models/claude-opus-5-5) 71.9

### [Agentic & Tool Use](https://noometry.com/best/agentic)

1.  [Claude Opus 5](https://noometry.com/models/claude-opus-5) 55.6
2.  [Claude Fable 5](https://noometry.com/models/claude-fable-5) 54.0
3.  [GPT-6 Astra](https://noometry.com/models/gpt-6-astra) 52.9

### [Reasoning](https://noometry.com/best/reasoning)

1.  [GPT-6 Astra](https://noometry.com/models/gpt-6-astra) 85.1
2.  [GPT-6.1 Sol](https://noometry.com/models/gpt-6-1-sol) 81.9
3.  [Claude Opus 5.5](https://noometry.com/models/claude-opus-5-5) 80.2

### [Math](https://noometry.com/best/math)

1.  [GPT-6.1 Sol](https://noometry.com/models/gpt-6-1-sol) 93.7
2.  [GPT-6 Astra](https://noometry.com/models/gpt-6-astra) 93.5
3.  [Claude Opus 5.5](https://noometry.com/models/claude-opus-5-5) 91.8

### [Knowledge](https://noometry.com/best/knowledge)

1.  [GPT-6 Astra](https://noometry.com/models/gpt-6-astra) 75.3
2.  [Gemini 3.8 Flash](https://noometry.com/models/gemini-3-8-flash) 74.8
3.  [Gemini 3.1 Pro Preview](https://noometry.com/models/gemini-3-1-pro-preview) 71.8

### [Multimodal](https://noometry.com/best/multimodal)

1.  [Claude Opus 5.5](https://noometry.com/models/claude-opus-5-5) 57.8
2.  [Gemini 3 Pro](https://noometry.com/models/gemini-3-pro) 57.6
3.  [GPT-6 Astra](https://noometry.com/models/gpt-6-astra) 55.0

### [Multilingual](https://noometry.com/best/multilingual)

1.  [Gemini 4 Argon](https://noometry.com/models/gemini-4-argon) 60.3
2.  [Claude Opus 5.5](https://noometry.com/models/claude-opus-5-5) 59.1
3.  [Claude Fable 5.1](https://noometry.com/models/claude-fable-5-1) 59.1

### [Instruction Following](https://noometry.com/best/instruction-following)

1.  [GPT-5.1](https://noometry.com/models/gpt-5-1) 83.9
2.  [Gemini 4 Argon](https://noometry.com/models/gemini-4-argon) 80.1
3.  [Claude Opus 5.5](https://noometry.com/models/claude-opus-5-5) 80.0

### [Long Context](https://noometry.com/best/long-context)

1.  [o3-pro](https://noometry.com/models/o3-pro) 72.2
2.  [GPT-5](https://noometry.com/models/gpt-5) 69.5
3.  [Grok 4 Fast](https://noometry.com/models/grok-4-fast) 63.2

### [Writing & Preference](https://noometry.com/best/writing)

1.  [Claude Opus 5](https://noometry.com/models/claude-opus-5) 79.2
2.  [Claude Fable 5.1](https://noometry.com/models/claude-fable-5-1) 79.2
3.  [Claude Opus 5.5](https://noometry.com/models/claude-opus-5-5) 78.2

## What changed

-   [GPT-6.1 Sol](https://noometry.com/models/gpt-6-1-sol) entered the ranking at #6
-   [GPT-6 Sol](https://noometry.com/models/gpt-6-sol) climbed from #46 to #12
-   [Gemini 4 Argon](https://noometry.com/models/gemini-4-argon) entered the ranking at #24
-   [GPT-5.6 Luna](https://noometry.com/models/gpt-5-6-luna) fell from #23 to #30
-   [GPT-6 Luna](https://noometry.com/models/gpt-6-luna) climbed from #65 to #36
-   [Grok 4.7](https://noometry.com/models/grok-4-7) climbed from #56 to #37
-   [GPT-5.2 Pro](https://noometry.com/models/gpt-5-2-pro) fell from #33 to #39
-   [Gemini 3 Flash Preview](https://noometry.com/models/gemini-3-flash-preview) fell from #34 to #40

[See how the ranking has moved over time →](https://noometry.com/llm-rankings-over-time)

## Frequently asked questions

### What is the best AI model right now?

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 is the best open-source LLM?

Kimi K3 is the highest-ranked model with downloadable weights on the Noometry Index as of October 2026.

### How is the Noometry Index calculated?

It fits every public benchmark result into ten category scores, adjusting for how hard each benchmark is, and averages them with fixed weights. Missing results are never counted as zero. The methodology page explains the approach.

### How current is the leaderboard?

The rankings are rebuilt whenever a source publishes new results. This page was last verified on 2026-10-10.

### Cite this page

Noometry. (2026). LLM Leaderboard. Retrieved October 10, 2026, from https://noometry.com/

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