Reasoning benchmark

# CritPt leaderboard

> CritPt results for 134 AI models, led by GPT-5.6 Sol at 32.3%. What the benchmark measures, who runs it, and a source for every score.
- Canonical page: https://noometry.com/benchmarks/critpt
- Last updated: 2026-10-10
- Title: CritPt Leaderboard (October 2026): Scores by Model

As of October 2026, GPT-5.6 Sol has the highest published CritPt score on Noometry at 32.3%, out of 134 models with results.

Last verified October 10, 2026

## About CritPt

Research-level physics problems written by working physicists.

- **Category:** [Reasoning](https://noometry.com/best/reasoning)
- **Introduced:** 2025
- **Format:** Exact answer
- **Unit:** Percent (random guessing ≈ 0%)
- **Official site:** [critpt.com](https://critpt.com)

## Top 15 models

Top models on CritPt

1.  GPT-5.6 Sol 32.3%
2.  Claude Opus 5.5 31.7%
3.  GPT-6.1 Sol 31.7%
4.  GPT-6 Astra 31.7%
5.  Claude Sonnet 5.5 31.4%
6.  Claude Fable 5.1 31.1%
7.  GPT-6 Sol 30.9%
8.  GPT-5.5 Pro 30.6%
9.  GPT-5.4 Pro 30%
10.  GPT-5.6 Terra 30%
11.  Claude Opus 5 29.1%
12.  Claude Fable 5 28.6%
13.  Gemini 4 Argon 27.1%
14.  GPT-5.5 27.1%
15.  MiMo-V2.6-Pro 26.6%
16.  242628303234

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

## All results

CritPt results by model
| # | Model | Provider | Score | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | [GPT-5.6 Sol](https://noometry.com/models/gpt-5-6-sol) | [OpenAI](https://noometry.com/providers/openai) | 32.3% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 2 | [Claude Opus 5.5](https://noometry.com/models/claude-opus-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | 31.7% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 3 | [GPT-6.1 Sol](https://noometry.com/models/gpt-6-1-sol) | [OpenAI](https://noometry.com/providers/openai) | 31.7% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 4 | [GPT-6 Astra](https://noometry.com/models/gpt-6-astra) | [OpenAI](https://noometry.com/providers/openai) | 31.7% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 5 | [Claude Sonnet 5.5](https://noometry.com/models/claude-sonnet-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | 31.4% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 6 | [Claude Fable 5.1](https://noometry.com/models/claude-fable-5-1) | [Anthropic](https://noometry.com/providers/anthropic) | 31.1% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 7 | [GPT-6 Sol](https://noometry.com/models/gpt-6-sol) | [OpenAI](https://noometry.com/providers/openai) | 30.9% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 8 | [GPT-5.5 Pro](https://noometry.com/models/gpt-5-5-pro) | [OpenAI](https://noometry.com/providers/openai) | 30.6% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 9 | [GPT-5.4 Pro](https://noometry.com/models/gpt-5-4-pro) | [OpenAI](https://noometry.com/providers/openai) | 30% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 10 | [GPT-5.6 Terra](https://noometry.com/models/gpt-5-6-terra) | [OpenAI](https://noometry.com/providers/openai) | 30% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 11 | [Claude Opus 5](https://noometry.com/models/claude-opus-5) | [Anthropic](https://noometry.com/providers/anthropic) | 29.1% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 12 | [Claude Fable 5](https://noometry.com/models/claude-fable-5) | [Anthropic](https://noometry.com/providers/anthropic) | 28.6% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 13 | [Gemini 4 Argon](https://noometry.com/models/gemini-4-argon) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 27.1% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 14 | [GPT-5.5](https://noometry.com/models/gpt-5-5) | [OpenAI](https://noometry.com/providers/openai) | 27.1% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 15 | [MiMo-V2.6-Pro](https://noometry.com/models/mimo-v2-6-pro) | [Xiaomi](https://noometry.com/providers/xiaomi) | 26.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 16 | [Muse Spark 1.3](https://noometry.com/models/muse-spark-1-3) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 26% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 17 | [Gemini 3 Deep Think](https://noometry.com/models/gemini-3-deep-think) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 25.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 18 | [GPT-5.4](https://noometry.com/models/gpt-5-4) | [OpenAI](https://noometry.com/providers/openai) | 23.4% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 19 | [Kimi K3](https://noometry.com/models/kimi-k3) | [Moonshot AI](https://noometry.com/providers/moonshot) | 23.4% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 20 | [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8) | [Anthropic](https://noometry.com/providers/anthropic) | 20.9% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 21 | [GLM-5.2](https://noometry.com/models/glm-5-2) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 20.9% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 22 | [Step 5 Preview](https://noometry.com/models/step-5-preview) |  [![](/logos/stepfun.svg) StepFun](https://noometry.com/providers/stepfun) | 20.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 23 | [GPT-5.6 Luna](https://noometry.com/models/gpt-5-6-luna) | [OpenAI](https://noometry.com/providers/openai) | 20.6% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 24 | [Qwen3.8 Max](https://noometry.com/models/qwen3-8-max) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 20% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 25 | [Grok 4.6](https://noometry.com/models/grok-4-6) | [xAI](https://noometry.com/providers/xai) | 19.7% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 26 | [GPT-6 Luna](https://noometry.com/models/gpt-6-luna) | [OpenAI](https://noometry.com/providers/openai) | 19.4% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 27 | [GLM-5.3](https://noometry.com/models/glm-5-3) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 19.1% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 28 | [Gemini 3.8 Flash](https://noometry.com/models/gemini-3-8-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 18.3% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 29 | [DeepSeek V4 Pro](https://noometry.com/models/deepseek-v4-pro) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 18% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 30 | [Grok 4.7](https://noometry.com/models/grok-4-7) | [xAI](https://noometry.com/providers/xai) | 18% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 31 | [Gemini 3.1 Pro Preview](https://noometry.com/models/gemini-3-1-pro-preview) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 17.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 32 | [Muse Spark 1.2](https://noometry.com/models/muse-spark-1-2) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 17.7% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 33 | [Claude Sonnet 5](https://noometry.com/models/claude-sonnet-5) | [Anthropic](https://noometry.com/providers/anthropic) | 16.9% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 34 | [DeepSeek V4 Flash](https://noometry.com/models/deepseek-v4-flash) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 16.6% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 35 | [GLM-5.3-Flash](https://noometry.com/models/glm-5-3-flash) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 15.4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 36 | [Grok 4.5](https://noometry.com/models/grok-4-5) | [xAI](https://noometry.com/providers/xai) | 15.4% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 37 | [Muse Spark 1.1](https://noometry.com/models/muse-spark-1-1) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 15.1% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 38 | [DeepSeek V4.1 Flash](https://noometry.com/models/deepseek-v4-1-flash) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 14.3% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 39 | [Gemini 3.7 Flash](https://noometry.com/models/gemini-3-7-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 14.3% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 40 | [Qwen3.7 Max](https://noometry.com/models/qwen3-7-max) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 13.4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 41 | [Gemini 3.5 Flash](https://noometry.com/models/gemini-3-5-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 13.1% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 42 | [GPT-5](https://noometry.com/models/gpt-5) | [OpenAI](https://noometry.com/providers/openai) | 12.6% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 43 | [Claude Opus 4.7](https://noometry.com/models/claude-opus-4-7) | [Anthropic](https://noometry.com/providers/anthropic) | 12% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 44 | [MiMo-V2.6-Flash](https://noometry.com/models/mimo-v2-6-flash) | [Xiaomi](https://noometry.com/providers/xiaomi) | 12% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 45 | [Muse Spark](https://noometry.com/models/muse-spark) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 11.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 46 | [Gemini 3.6 Flash](https://noometry.com/models/gemini-3-6-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 10.6% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 47 | [GPT-5.4 mini](https://noometry.com/models/gpt-5-4-mini) | [OpenAI](https://noometry.com/providers/openai) | 10% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 48 | [Kimi K2.7 Code](https://noometry.com/models/kimi-k2-7-code) | [Moonshot AI](https://noometry.com/providers/moonshot) | 10% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 49 | [GPT-5.4 nano](https://noometry.com/models/gpt-5-4-nano) | [OpenAI](https://noometry.com/providers/openai) | 9.3% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 50 | [Grok Build 0.1](https://noometry.com/models/grok-build-0-1) | [xAI](https://noometry.com/providers/xai) | 9.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 51 | [Qwen3.7 Plus](https://noometry.com/models/qwen3-7-plus) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 9.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 52 | [Inkling-Small](https://noometry.com/models/inkling-small) | [T Thinking Machines Lab](https://noometry.com/providers/thinking-machines) | 8.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 53 | [Grok 4.3](https://noometry.com/models/grok-4-3) | [xAI](https://noometry.com/providers/xai) | 8% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 54 | [Kimi K2.6](https://noometry.com/models/kimi-k2-6) | [Moonshot AI](https://noometry.com/providers/moonshot) | 8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 55 | [Gemini 3 Pro](https://noometry.com/models/gemini-3-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 6.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 56 | [Inkling](https://noometry.com/models/inkling) | [T Thinking Machines Lab](https://noometry.com/providers/thinking-machines) | 5.4% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 57 | [Qwen3.8 27B](https://noometry.com/models/qwen3-8-27b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 5.4% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 58 | [GPT-5.1](https://noometry.com/models/gpt-5-1) | [OpenAI](https://noometry.com/providers/openai) | 4.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 59 | [GLM-5.1](https://noometry.com/models/glm-5-1) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 4.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 60 | [MiMo-V2.5-Pro](https://noometry.com/models/mimo-v2-5-pro) | [Xiaomi](https://noometry.com/providers/xiaomi) | 4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 61 | [MiMo-V2.5](https://noometry.com/models/mimo-v2-5) | [Xiaomi](https://noometry.com/providers/xiaomi) | 3.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 62 | [MiniMax-M3](https://noometry.com/models/minimax-m3) |  [![](/logos/minimax.svg) MiniMax](https://noometry.com/providers/minimax) | 3.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 63 | [Ring-2.6-1T](https://noometry.com/models/ring-2-6-1t) |  [![](/logos/ant-group.svg) Ant Group (inclusionAI)](https://noometry.com/providers/ant-group) | 3.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 64 | [Claude Sonnet 4.6](https://noometry.com/models/claude-sonnet-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 3.1% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 65 | [Kimi K2.5](https://noometry.com/models/kimi-k2-5) | [Moonshot AI](https://noometry.com/providers/moonshot) | 3.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 66 | [Nemotron 3 Super](https://noometry.com/models/nemotron-3-super) |  [![](/logos/nvidia.svg) NVIDIA](https://noometry.com/providers/nvidia) | 3.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 67 | [Nemotron 3 Ultra](https://noometry.com/models/nemotron-3-ultra) |  [![](/logos/nvidia.svg) NVIDIA](https://noometry.com/providers/nvidia) | 3.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 68 | [DeepSeek-V3.2-Exp](https://noometry.com/models/deepseek-v3-2-exp) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 2.9% | thinking | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 69 | [Qwen3.6 Plus](https://noometry.com/models/qwen3-6-plus) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 2.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 70 | [Muse Glimmer](https://noometry.com/models/muse-glimmer) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 2.6% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 71 | [Step 3.7 Flash](https://noometry.com/models/step-3-7-flash) |  [![](/logos/stepfun.svg) StepFun](https://noometry.com/providers/stepfun) | 2.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 72 | [Gemini 2.5 Pro](https://noometry.com/models/gemini-2-5-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 2% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 73 | [DeepSeek-V3.1-Terminus](https://noometry.com/models/deepseek-v3-1-terminus) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 1.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 74 | [GLM-4.7](https://noometry.com/models/glm-4-7) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 1.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 75 | [Gemma 4 31B IT](https://noometry.com/models/gemma-4-31b-it) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1.4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 76 | [gpt-oss-20b](https://noometry.com/models/gpt-oss-20b) | [OpenAI](https://noometry.com/providers/openai) | 1.4% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 77 | [o3](https://noometry.com/models/o3) | [OpenAI](https://noometry.com/providers/openai) | 1.4% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 78 | [Claude Sonnet 4.5](https://noometry.com/models/claude-sonnet-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 1.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 79 | [Gemini 3.1 Flash Lite](https://noometry.com/models/gemini-3-1-flash-lite) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 80 | [GLM-4.6](https://noometry.com/models/glm-4-6) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 1.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 81 | [gpt-oss-120b](https://noometry.com/models/gpt-oss-120b) | [OpenAI](https://noometry.com/providers/openai) | 1.1% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 82 | [DeepSeek-R1](https://noometry.com/models/deepseek-r1) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 1.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 83 | [Gemini 2.5 Flash](https://noometry.com/models/gemini-2-5-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 84 | [Qwen3.5 122B-A10B](https://noometry.com/models/qwen3-5-122b-a10b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 0.9% | none | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 85 | [Qwen3.6 27B](https://noometry.com/models/qwen3-6-27b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 0.9% | none | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 86 | [Trinity Large Thinking](https://noometry.com/models/trinity-large-thinking) |  [![](/logos/arcee.svg) Arcee AI](https://noometry.com/providers/arcee) | 0.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 87 | [Mercury 2](https://noometry.com/models/mercury-2) | [Inception](https://noometry.com/providers/inception) | 0.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 88 | [o4-mini](https://noometry.com/models/o4-mini) | [OpenAI](https://noometry.com/providers/openai) | 0.6% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 89 | [MiniMax-M2.7](https://noometry.com/models/minimax-m2-7) |  [![](/logos/minimax.svg) MiniMax](https://noometry.com/providers/minimax) | 0.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 90 | [Qwen3.5 35B-A3B](https://noometry.com/models/qwen3-5-35b-a3b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 0.6% | none | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 91 | [Claude Opus 4](https://noometry.com/models/claude-opus-4) | [Anthropic](https://noometry.com/providers/anthropic) | 0.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 92 | [Claude Sonnet 4](https://noometry.com/models/claude-sonnet-4) | [Anthropic](https://noometry.com/providers/anthropic) | 0.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 93 | [Command A Plus](https://noometry.com/models/command-a-plus) |  [![](/logos/cohere.svg) Cohere](https://noometry.com/providers/cohere) | 0.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 94 | [Magistral Medium](https://noometry.com/models/magistral-medium) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 0.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 95 | [Magistral Small](https://noometry.com/models/magistral-small) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 0.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 96 | [o3-mini](https://noometry.com/models/o3-mini) | [OpenAI](https://noometry.com/providers/openai) | 0.3% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 97 | [Qwen3-30B-A3B](https://noometry.com/models/qwen3-30b-a3b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 0.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 98 | [Qwen3 32B](https://noometry.com/models/qwen3-32b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 0.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 99 | [Qwen3.5-9B](https://noometry.com/models/qwen3-5-9b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 0.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 100 | [Qwen3.6 35B-A3B](https://noometry.com/models/qwen3-6-35b-a3b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 0.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 101 | [Claude 3.5 Haiku](https://noometry.com/models/claude-3-5-haiku) | [Anthropic](https://noometry.com/providers/anthropic) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 102 | [Claude Haiku 4.5](https://noometry.com/models/claude-haiku-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 103 | [DeepSeek-V3](https://noometry.com/models/deepseek-v3) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 104 | [DeepSeek-V3](https://noometry.com/models/deepseek-v3) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 105 | [Devstral Small 2505](https://noometry.com/models/devstral-small) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 106 | [Gemini 3.5 Flash Lite](https://noometry.com/models/gemini-3-5-flash-lite) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 107 | [Gemma 3 12B](https://noometry.com/models/gemma-3-12b) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 108 | [Gemma 3 27B](https://noometry.com/models/gemma-3-27b) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 109 | [Gemma 4 26B A4B IT](https://noometry.com/models/gemma-4-26b-a4b-it) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 110 | [GPT-4.1 mini](https://noometry.com/models/gpt-4-1-mini) | [OpenAI](https://noometry.com/providers/openai) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 111 | [GPT-4.1 nano](https://noometry.com/models/gpt-4-1-nano) | [OpenAI](https://noometry.com/providers/openai) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 112 | [GPT-4o](https://noometry.com/models/gpt-4o) | [OpenAI](https://noometry.com/providers/openai) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 113 | [GPT-5.5 Instant](https://noometry.com/models/gpt-5-5-instant) | [OpenAI](https://noometry.com/providers/openai) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 114 | [GPT-5 Mini](https://noometry.com/models/gpt-5-mini) | [OpenAI](https://noometry.com/providers/openai) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 115 | [Granite 4.1 30B](https://noometry.com/models/granite-4-1-30b) | [IBM](https://noometry.com/providers/ibm) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 116 | [Llama 3.1-8B](https://noometry.com/models/llama-3-1-8b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 117 | [Llama-3.3-70B-Instruct](https://noometry.com/models/llama-3-3-70b-instruct) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 118 | [Llama 4 Maverick](https://noometry.com/models/llama-4-maverick) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 119 | [Llama 4 Maverick](https://noometry.com/models/llama-4-maverick) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 120 | [Llama 4 Scout](https://noometry.com/models/llama-4-scout) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 121 | [Mercury 2.5](https://noometry.com/models/mercury-2-5) | [Inception](https://noometry.com/providers/inception) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 122 | [MiMo-V2-Flash](https://noometry.com/models/mimo-v2-flash) | [Xiaomi](https://noometry.com/providers/xiaomi) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 123 | [Mistral Large](https://noometry.com/models/mistral-large) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 124 | [Mistral Medium](https://noometry.com/models/mistral-medium) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 125 | [Mistral Medium](https://noometry.com/models/mistral-medium) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 126 | [Mistral Small](https://noometry.com/models/mistral-small) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 127 | [Mistral Small](https://noometry.com/models/mistral-small) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 128 | [Nova 2.0 Pro Preview](https://noometry.com/models/nova-2-0-pro-preview) | [Amazon](https://noometry.com/providers/amazon) | 0% | low | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 129 | [Phi-4 Mini](https://noometry.com/models/phi-4-mini) |  [![](/logos/microsoft.svg) Microsoft](https://noometry.com/providers/microsoft) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 130 | [Qwen3 14B](https://noometry.com/models/qwen3-14b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 131 | [Qwen3 235B-A22B](https://noometry.com/models/qwen3-235b-a22b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 132 | [Qwen3 8B](https://noometry.com/models/qwen3-8b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 133 | [Qwen3 Coder Next](https://noometry.com/models/qwen3-coder-next) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 134 | [Solar Pro 3](https://noometry.com/models/solar-pro-3) |  [![](/logos/upstage.svg) Upstage](https://noometry.com/providers/upstage) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

## Compare the leaders

-   [GPT-5.6 Sol vs Claude Opus 5.5](https://noometry.com/compare/claude-opus-5-5-vs-gpt-5-6-sol)
-   [GPT-5.6 Sol vs GPT-6.1 Sol](https://noometry.com/compare/gpt-5-6-sol-vs-gpt-6-1-sol)
-   [GPT-5.6 Sol vs GPT-6 Astra](https://noometry.com/compare/gpt-5-6-sol-vs-gpt-6-astra)
-   [GPT-5.6 Sol vs Claude Sonnet 5.5](https://noometry.com/compare/claude-sonnet-5-5-vs-gpt-5-6-sol)
-   [Claude Opus 5.5 vs GPT-6.1 Sol](https://noometry.com/compare/claude-opus-5-5-vs-gpt-6-1-sol)
-   [Claude Opus 5.5 vs GPT-6 Astra](https://noometry.com/compare/claude-opus-5-5-vs-gpt-6-astra)

## Other reasoning benchmarks

-   [ARC-AGI-2](https://noometry.com/benchmarks/arc-agi-2)
-   [SimpleBench](https://noometry.com/benchmarks/simplebench)
-   [Kagi LLM Benchmark](https://noometry.com/benchmarks/kagi-reasoning)
-   [NYT Connections (extended)](https://noometry.com/benchmarks/nyt-connections)
-   [ARC-AGI-1](https://noometry.com/benchmarks/arc-agi-1)
-   [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles)
-   [EnigmaEval](https://noometry.com/benchmarks/enigmaeval)
-   [Thematic Generalization](https://noometry.com/benchmarks/thematic-generalization)
-   [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts)
-   [EBR-Bench](https://noometry.com/benchmarks/ebr-bench)
-   [LiveBench Reasoning](https://noometry.com/benchmarks/livebench-reasoning)
-   [Mystery Game Puzzles](https://noometry.com/benchmarks/mystery-game-puzzles)

## Frequently asked questions

### What does CritPt measure?

Research-level physics problems written by working physicists.

### Which model has the highest CritPt score?

As of October 2026, GPT-5.6 Sol has the highest published CritPt score on Noometry at 32.3%, out of 134 models with results.

### What is the best open-weight model on CritPt?

MiMo-V2.6-Pro has the highest CritPt accuracy among open-weight models at 26.6%, ranking 15 of 134 overall.

### Cite this page

Noometry. (2026). CritPt leaderboard. Retrieved October 10, 2026, from https://noometry.com/benchmarks/critpt

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