Reasoning benchmark

# LMCA leaderboard

> LMCA results for 125 AI models, led by Claude Opus 5.5 at 68.2%. What the benchmark measures, who runs it, and a source for every score.
- Canonical page: https://noometry.com/benchmarks/lmca
- Last updated: 2026-10-10
- Title: LMCA Leaderboard (October 2026): Scores by Model | Noometry

As of October 2026, Claude Opus 5.5 has the highest published LMCA score on Noometry at 68.2%, out of 125 models with results.

Last verified October 10, 2026

## About LMCA

A description with primary sources is being prepared for this benchmark.

- **Category:** [Reasoning](https://noometry.com/best/reasoning)
- **Introduced:** 2026
- **Unit:** Percent (random guessing ≈ 0%)
- **Official site:** [epoch.ai](https://epoch.ai/benchmarks)

## Top 15 models

Top models on LMCA

1.  Claude Opus 5.5 68.2%
2.  Claude Fable 5.1 65.5%
3.  Claude Opus 5 64.5%
4.  GPT-6 Astra 64.4%
5.  Claude Fable 5 61.1%
6.  GPT-5.6 Sol 59.2%
7.  GPT-6 Sol 59.1%
8.  Claude Opus 4.8 57.5%
9.  Claude Opus 4.6 55.8%
10.  GLM-5.3 55.5%
11.  GPT-5.6 Terra 55%
12.  GPT-5.5 54.3%
13.  GPT-5.5 Pro 53.9%
14.  Muse Spark 1.3 53.9%
15.  Gemini 3.1 Pro Preview 53.8%
16.  5055606570

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

## All results

LMCA results by model
| # | Model | Provider | Score | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | [Claude Opus 5.5](https://noometry.com/models/claude-opus-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | 68.2% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 2 | [Claude Fable 5.1](https://noometry.com/models/claude-fable-5-1) | [Anthropic](https://noometry.com/providers/anthropic) | 65.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 3 | [Claude Opus 5](https://noometry.com/models/claude-opus-5) | [Anthropic](https://noometry.com/providers/anthropic) | 64.5% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 4 | [GPT-6 Astra](https://noometry.com/models/gpt-6-astra) | [OpenAI](https://noometry.com/providers/openai) | 64.4% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 5 | [Claude Fable 5](https://noometry.com/models/claude-fable-5) | [Anthropic](https://noometry.com/providers/anthropic) | 61.1% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 6 | [GPT-5.6 Sol](https://noometry.com/models/gpt-5-6-sol) | [OpenAI](https://noometry.com/providers/openai) | 59.2% | promax | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 7 | [GPT-6 Sol](https://noometry.com/models/gpt-6-sol) | [OpenAI](https://noometry.com/providers/openai) | 59.1% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 8 | [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8) | [Anthropic](https://noometry.com/providers/anthropic) | 57.5% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 9 | [Claude Opus 4.6](https://noometry.com/models/claude-opus-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 55.8% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 10 | [GLM-5.3](https://noometry.com/models/glm-5-3) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 55.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 11 | [GPT-5.6 Terra](https://noometry.com/models/gpt-5-6-terra) | [OpenAI](https://noometry.com/providers/openai) | 55% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 12 | [GPT-5.5](https://noometry.com/models/gpt-5-5) | [OpenAI](https://noometry.com/providers/openai) | 54.3% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 13 | [GPT-5.5 Pro](https://noometry.com/models/gpt-5-5-pro) | [OpenAI](https://noometry.com/providers/openai) | 53.9% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 14 | [Muse Spark 1.3](https://noometry.com/models/muse-spark-1-3) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 53.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 15 | [Gemini 3.1 Pro Preview](https://noometry.com/models/gemini-3-1-pro-preview) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 53.8% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 16 | [Gemini 3.8 Flash](https://noometry.com/models/gemini-3-8-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 52.9% | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 17 | [Kimi K3](https://noometry.com/models/kimi-k3) | [Moonshot AI](https://noometry.com/providers/moonshot) | 52.7% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 18 | [Claude Opus 4.7](https://noometry.com/models/claude-opus-4-7) | [Anthropic](https://noometry.com/providers/anthropic) | 52.2% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 19 | [GPT-5.4](https://noometry.com/models/gpt-5-4) | [OpenAI](https://noometry.com/providers/openai) | 52% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 20 | [Gemini 3.7 Flash](https://noometry.com/models/gemini-3-7-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 50.4% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 21 | [Claude Sonnet 5](https://noometry.com/models/claude-sonnet-5) | [Anthropic](https://noometry.com/providers/anthropic) | 50% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 22 | [Muse Spark 1.1](https://noometry.com/models/muse-spark-1-1) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 49.9% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 23 | [Grok 4.7](https://noometry.com/models/grok-4-7) | [xAI](https://noometry.com/providers/xai) | 49.4% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 24 | [GPT-5.6 Luna](https://noometry.com/models/gpt-5-6-luna) | [OpenAI](https://noometry.com/providers/openai) | 48.5% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 25 | [Grok 4.6](https://noometry.com/models/grok-4-6) | [xAI](https://noometry.com/providers/xai) | 48.5% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 26 | [Muse Spark 1.2](https://noometry.com/models/muse-spark-1-2) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 48.4% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 27 | [Gemini 3.5 Flash](https://noometry.com/models/gemini-3-5-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 47.1% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 28 | [DeepSeek V4.1 Flash](https://noometry.com/models/deepseek-v4-1-flash) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 47% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 29 | [Claude Sonnet 4.6](https://noometry.com/models/claude-sonnet-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 46.5% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 30 | [Qwen3.8 Max](https://noometry.com/models/qwen3-8-max) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 46.2% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 31 | [GLM-5.2](https://noometry.com/models/glm-5-2) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 45.8% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 32 | [DeepSeek V4 Pro](https://noometry.com/models/deepseek-v4-pro) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 45.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 33 | [Grok 4.5](https://noometry.com/models/grok-4-5) | [xAI](https://noometry.com/providers/xai) | 45.2% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 34 | [Gemini 3.6 Flash](https://noometry.com/models/gemini-3-6-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 44.9% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 35 | [GPT-6 Luna](https://noometry.com/models/gpt-6-luna) | [OpenAI](https://noometry.com/providers/openai) | 44.5% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 36 | [Claude Opus 4.5](https://noometry.com/models/claude-opus-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 44.5% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 37 | [Qwen3.7 Max](https://noometry.com/models/qwen3-7-max) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 44% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 38 | [GPT-5.2](https://noometry.com/models/gpt-5-2) | [OpenAI](https://noometry.com/providers/openai) | 43.9% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 39 | [GPT-5.1](https://noometry.com/models/gpt-5-1) | [OpenAI](https://noometry.com/providers/openai) | 43.9% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 40 | [Gemini 3 Flash Preview](https://noometry.com/models/gemini-3-flash-preview) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 43.1% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 41 | [Qwen3.6 Max Preview](https://noometry.com/models/qwen3-6-max-preview) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 42.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 42 | [DeepSeek V4 Flash](https://noometry.com/models/deepseek-v4-flash) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 41.7% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 43 | [Qwen3.8 27B](https://noometry.com/models/qwen3-8-27b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 41.4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 44 | [GPT-5.4 mini](https://noometry.com/models/gpt-5-4-mini) | [OpenAI](https://noometry.com/providers/openai) | 40.8% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 45 | [GPT-5](https://noometry.com/models/gpt-5) | [OpenAI](https://noometry.com/providers/openai) | 40% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 46 | [o3](https://noometry.com/models/o3) | [OpenAI](https://noometry.com/providers/openai) | 39.7% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 47 | [Gemma 4 31B IT](https://noometry.com/models/gemma-4-31b-it) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 39.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 48 | [Claude Sonnet 4.5](https://noometry.com/models/claude-sonnet-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 38.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 49 | [Grok 4.20 (Non-Reasoning)](https://noometry.com/models/grok-4-20) | [xAI](https://noometry.com/providers/xai) | 38.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 50 | [o3-pro](https://noometry.com/models/o3-pro) | [OpenAI](https://noometry.com/providers/openai) | 38.5% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 51 | [Grok 4.3](https://noometry.com/models/grok-4-3) | [xAI](https://noometry.com/providers/xai) | 38.3% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 52 | [Qwen3.5 397B-A17B](https://noometry.com/models/qwen3-5-397b-a17b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 37.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 53 | [Gemini 3.5 Flash Lite](https://noometry.com/models/gemini-3-5-flash-lite) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 37.6% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 54 | [Inkling](https://noometry.com/models/inkling) | [T Thinking Machines Lab](https://noometry.com/providers/thinking-machines) | 37.6% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 55 | [Qwen3.7 Plus](https://noometry.com/models/qwen3-7-plus) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 37.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 56 | [Claude Opus 4](https://noometry.com/models/claude-opus-4) | [Anthropic](https://noometry.com/providers/anthropic) | 37.4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 57 | [Kimi K2.6](https://noometry.com/models/kimi-k2-6) | [Moonshot AI](https://noometry.com/providers/moonshot) | 37.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 58 | [Claude Opus 4.1](https://noometry.com/models/claude-opus-4-1) | [Anthropic](https://noometry.com/providers/anthropic) | 37.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 59 | [Nemotron 3 Ultra](https://noometry.com/models/nemotron-3-ultra) |  [![](/logos/nvidia.svg) NVIDIA](https://noometry.com/providers/nvidia) | 36.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 60 | [GPT-5.4 nano](https://noometry.com/models/gpt-5-4-nano) | [OpenAI](https://noometry.com/providers/openai) | 36.9% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 61 | [Qwen3.5 Plus](https://noometry.com/models/qwen3-5-plus) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 36.4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 62 | [Gemini 3.1 Flash Lite](https://noometry.com/models/gemini-3-1-flash-lite) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 35% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 63 | [Gemini 2.5 Pro](https://noometry.com/models/gemini-2-5-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 34.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 64 | [Qwen3.6 27B](https://noometry.com/models/qwen3-6-27b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 34.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 65 | [GPT-5 Mini](https://noometry.com/models/gpt-5-mini) | [OpenAI](https://noometry.com/providers/openai) | 34.2% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 66 | [Qwen3.5 27B](https://noometry.com/models/qwen3-5-27b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 34% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 67 | [MiniMax-M3](https://noometry.com/models/minimax-m3) |  [![](/logos/minimax.svg) MiniMax](https://noometry.com/providers/minimax) | 33.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 68 | [Qwen3.6 Plus](https://noometry.com/models/qwen3-6-plus) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 33.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 69 | [Qwen3.5 122B-A10B](https://noometry.com/models/qwen3-5-122b-a10b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 32.2% | none | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 70 | [Qwen3.6 Flash](https://noometry.com/models/qwen3-6-flash) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 31% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 71 | [Claude Haiku 4.5](https://noometry.com/models/claude-haiku-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 30.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 72 | [Qwen3.6 35B-A3B](https://noometry.com/models/qwen3-6-35b-a3b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 29.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 73 | [Gemma 4 26B A4B IT](https://noometry.com/models/gemma-4-26b-a4b-it) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 29.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 74 | [MiMo-V2.5-Pro](https://noometry.com/models/mimo-v2-5-pro) | [Xiaomi](https://noometry.com/providers/xiaomi) | 29.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 75 | [Qwen3.5 35B-A3B](https://noometry.com/models/qwen3-5-35b-a3b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 29.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 76 | [Qwen3 235B-A22B](https://noometry.com/models/qwen3-235b-a22b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 29.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 77 | [Qwen3.5-Flash](https://noometry.com/models/qwen3-5-flash) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 29.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 78 | [DeepSeek-V3.2-Exp](https://noometry.com/models/deepseek-v3-2-exp) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 29.1% | thinking | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 79 | [Claude Sonnet 4](https://noometry.com/models/claude-sonnet-4) | [Anthropic](https://noometry.com/providers/anthropic) | 29% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 80 | [DeepSeek-V3.1-Terminus](https://noometry.com/models/deepseek-v3-1-terminus) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 28.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 81 | [Qwen3 Max](https://noometry.com/models/qwen3-max) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 28.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 82 | [Gemini 2.5 Flash](https://noometry.com/models/gemini-2-5-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 27.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 83 | [o4-mini](https://noometry.com/models/o4-mini) | [OpenAI](https://noometry.com/providers/openai) | 26.5% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 84 | [Mistral Medium](https://noometry.com/models/mistral-medium) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 26.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 85 | [GPT-4.1](https://noometry.com/models/gpt-4-1) | [OpenAI](https://noometry.com/providers/openai) | 25.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 86 | [Qwen3.5-9B](https://noometry.com/models/qwen3-5-9b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 24.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 87 | [DeepSeek-V3.1](https://noometry.com/models/deepseek-v3-1) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 24.3% | thinking | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 88 | [Qwen Plus](https://noometry.com/models/qwen-plus) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 24% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 89 | [Qwen3-30B-A3B](https://noometry.com/models/qwen3-30b-a3b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 22.4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 90 | [o1](https://noometry.com/models/o1) | [OpenAI](https://noometry.com/providers/openai) | 22.3% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 91 | [gpt-oss-120b](https://noometry.com/models/gpt-oss-120b) | [OpenAI](https://noometry.com/providers/openai) | 22.1% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 92 | [GPT-4.1 mini](https://noometry.com/models/gpt-4-1-mini) | [OpenAI](https://noometry.com/providers/openai) | 21.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 93 | [Mistral Small](https://noometry.com/models/mistral-small) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 20.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 94 | [o3-mini](https://noometry.com/models/o3-mini) | [OpenAI](https://noometry.com/providers/openai) | 19% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 95 | [Qwen3 14B](https://noometry.com/models/qwen3-14b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 18.2% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 96 | [Gemini 2.5 Flash-Lite](https://noometry.com/models/gemini-2-5-flash-lite) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 18.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 97 | [Llama-3.3-70B-Instruct](https://noometry.com/models/llama-3-3-70b-instruct) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 17.5% |  | [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) | 17.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 99 | [GPT-4](https://noometry.com/models/gpt-4) | [OpenAI](https://noometry.com/providers/openai) | 17.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 100 | [Claude 3 Opus](https://noometry.com/models/claude-3-opus) | [Anthropic](https://noometry.com/providers/anthropic) | 17% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 101 | [Mistral Large](https://noometry.com/models/mistral-large) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 16.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 102 | [GPT-4o](https://noometry.com/models/gpt-4o) | [OpenAI](https://noometry.com/providers/openai) | 16.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 103 | [Llama 4 Maverick](https://noometry.com/models/llama-4-maverick) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 15.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 104 | [DeepSeek-V3](https://noometry.com/models/deepseek-v3) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 15.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 105 | [Llama 3.1-70B](https://noometry.com/models/llama-3-1-70b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 14.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 106 | [gpt-oss-20b](https://noometry.com/models/gpt-oss-20b) | [OpenAI](https://noometry.com/providers/openai) | 14.5% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 107 | [Qwen2.5 72B Instruct](https://noometry.com/models/qwen2-5-72b-instruct) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 13.4% |  | [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) | 12.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 109 | [Llama 4 Scout](https://noometry.com/models/llama-4-scout) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 12% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 110 | [GPT-4o mini](https://noometry.com/models/gpt-4o-mini) | [OpenAI](https://noometry.com/providers/openai) | 10.4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 111 | [Command A](https://noometry.com/models/command-a) |  [![](/logos/cohere.svg) Cohere](https://noometry.com/providers/cohere) | 10.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 112 | [GPT-4 Turbo](https://noometry.com/models/gpt-4-turbo) | [OpenAI](https://noometry.com/providers/openai) | 9.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 113 | [GPT-3.5-turbo](https://noometry.com/models/gpt-3-5-turbo) | [OpenAI](https://noometry.com/providers/openai) | 9.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 114 | [Command R](https://noometry.com/models/command-r) |  [![](/logos/cohere.svg) Cohere](https://noometry.com/providers/cohere) | 9.2% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 115 | [Claude 3 Haiku](https://noometry.com/models/claude-3-haiku) | [Anthropic](https://noometry.com/providers/anthropic) | 8.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 116 | [Qwen3 8B](https://noometry.com/models/qwen3-8b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 8.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 117 | [GPT-5 Nano](https://noometry.com/models/gpt-5-nano) | [OpenAI](https://noometry.com/providers/openai) | 7.9% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 118 | [Gemma 2 27B](https://noometry.com/models/gemma-2-27b) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 7.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 119 | [Qwen2.5 7B Instruct](https://noometry.com/models/qwen2-5-7b-instruct) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 6.4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 120 | [Ministral 3B](https://noometry.com/models/ministral-3b) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 5.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 121 | [GPT-4.1 nano](https://noometry.com/models/gpt-4-1-nano) | [OpenAI](https://noometry.com/providers/openai) | 5.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 122 | [Llama 3.1-8B](https://noometry.com/models/llama-3-1-8b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 5.4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 123 | [Command R+](https://noometry.com/models/command-r-plus) |  [![](/logos/cohere.svg) Cohere](https://noometry.com/providers/cohere) | 5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 124 | [Gemma 3 12B](https://noometry.com/models/gemma-3-12b) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 4.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 125 | [Gemma 3 4B](https://noometry.com/models/gemma-3-4b) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 2.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

## Compare the leaders

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

## Frequently asked questions

### Which model has the highest LMCA score?

As of October 2026, Claude Opus 5.5 has the highest published LMCA score on Noometry at 68.2%, out of 125 models with results.

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

GLM-5.3 has the highest LMCA accuracy among open-weight models at 55.5%, ranking 10 of 125 overall.

### Cite this page

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

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