Knowledge benchmark

# GPQA Diamond leaderboard

> GPQA Diamond results for 186 AI models, led by GPT-6 Astra at 95.8%. What the benchmark measures, who runs it, and a source for every score.
- Canonical page: https://noometry.com/benchmarks/gpqa-diamond
- Last updated: 2026-10-10
- Title: GPQA Diamond Leaderboard (October 2026): Scores by Model

As of October 2026, GPT-6 Astra has the highest published GPQA Diamond score on Noometry at 95.8%, out of 186 models with results.

Last verified October 10, 2026

## About GPQA Diamond

198 graduate-level multiple-choice questions in biology, physics and chemistry, written so that skilled non-experts with web access still score poorly.

- **Category:** [Knowledge](https://noometry.com/best/knowledge)
- **Introduced:** 2023
- **Size:** 198 questions
- **Format:** Multiple choice (4 options)
- **Unit:** Percent (random guessing ≈ 25%)
- **Official site:** [arxiv.org](https://arxiv.org/abs/2311.12022)

## Top 15 models

Top models on GPQA Diamond

1.  GPT-6 Astra 95.8%
2.  Claude Sonnet 5.5 95.6%
3.  Gemini 3.8 Flash 95.4%
4.  GPT-6.1 Sol 95.4%
5.  Gemini 3.7 Flash 94.8%
6.  GPT-5.4 Pro 94.6%
7.  Gemini 3.1 Pro Preview 94.4%
8.  GPT-6 Sol 94.3%
9.  Gemini 3.6 Flash 94.1%
10.  GPT-5.5 94%
11.  Grok 4.6 94%
12.  GPT-5.5 Pro 93.9%
13.  Claude Opus 5 93.9%
14.  GPT-5.6 Sol 93.5%
15.  Grok 4.5 93.4%
16.  9293949596

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

## All results

GPQA Diamond results by model
| # | Model | Provider | Score | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | [GPT-6 Astra](https://noometry.com/models/gpt-6-astra) | [OpenAI](https://noometry.com/providers/openai) | 95.8% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| 2 | [Claude Sonnet 5.5](https://noometry.com/models/claude-sonnet-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | 95.6% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-29 |
| 3 | [Gemini 3.8 Flash](https://noometry.com/models/gemini-3-8-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 95.4% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-02 |
| 4 | [GPT-6.1 Sol](https://noometry.com/models/gpt-6-1-sol) | [OpenAI](https://noometry.com/providers/openai) | 95.4% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-29 |
| 5 | [Gemini 3.7 Flash](https://noometry.com/models/gemini-3-7-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 94.8% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-14 |
| 6 | [GPT-5.4 Pro](https://noometry.com/models/gpt-5-4-pro) | [OpenAI](https://noometry.com/providers/openai) | 94.6% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-03-20 |
| 7 | [Gemini 3.1 Pro Preview](https://noometry.com/models/gemini-3-1-pro-preview) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 94.4% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-06 |
| 8 | [GPT-6 Sol](https://noometry.com/models/gpt-6-sol) | [OpenAI](https://noometry.com/providers/openai) | 94.3% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-22 |
| 9 | [Gemini 3.6 Flash](https://noometry.com/models/gemini-3-6-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 94.1% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-02 |
| 10 | [GPT-5.5](https://noometry.com/models/gpt-5-5) | [OpenAI](https://noometry.com/providers/openai) | 94% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-04-24 |
| 11 | [Grok 4.6](https://noometry.com/models/grok-4-6) | [xAI](https://noometry.com/providers/xai) | 94% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-12 |
| 12 | [GPT-5.5 Pro](https://noometry.com/models/gpt-5-5-pro) | [OpenAI](https://noometry.com/providers/openai) | 93.9% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-04-24 |
| 13 | [Claude Opus 5](https://noometry.com/models/claude-opus-5) | [Anthropic](https://noometry.com/providers/anthropic) | 93.9% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-24 |
| 14 | [GPT-5.6 Sol](https://noometry.com/models/gpt-5-6-sol) | [OpenAI](https://noometry.com/providers/openai) | 93.5% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-09 |
| 15 | [Grok 4.5](https://noometry.com/models/grok-4-5) | [xAI](https://noometry.com/providers/xai) | 93.4% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-08 |
| 16 | [GPT-5.6 Terra](https://noometry.com/models/gpt-5-6-terra) | [OpenAI](https://noometry.com/providers/openai) | 93.3% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-09 |
| 17 | [GPT-5.4](https://noometry.com/models/gpt-5-4) | [OpenAI](https://noometry.com/providers/openai) | 93.3% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-03-06 |
| 18 | [Kimi K3](https://noometry.com/models/kimi-k3) | [Moonshot AI](https://noometry.com/providers/moonshot) | 93.1% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-16 |
| 19 | [Gemini 3.5 Flash](https://noometry.com/models/gemini-3-5-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 92.8% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-05-22 |
| 20 | [Grok 4.7](https://noometry.com/models/grok-4-7) | [xAI](https://noometry.com/providers/xai) | 92.7% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-22 |
| 21 | [Qwen3.8 Max](https://noometry.com/models/qwen3-8-max) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 92.7% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-04 |
| 22 | [Gemini 3 Pro](https://noometry.com/models/gemini-3-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 92.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-11-19 |
| 23 | [GLM-5.2](https://noometry.com/models/glm-5-2) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 91.9% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-06-24 |
| 24 | [DeepSeek V4 Pro](https://noometry.com/models/deepseek-v4-pro) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 91.7% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-18 |
| 25 | [GPT-5.6 Luna](https://noometry.com/models/gpt-5-6-luna) | [OpenAI](https://noometry.com/providers/openai) | 91.6% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-09 |
| 26 | [GPT-5.2](https://noometry.com/models/gpt-5-2) | [OpenAI](https://noometry.com/providers/openai) | 91.4% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2025-12-13 |
| 27 | [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8) | [Anthropic](https://noometry.com/providers/anthropic) | 91% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-06-07 |
| 28 | [DeepSeek V4 Flash](https://noometry.com/models/deepseek-v4-flash) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 91% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-02 |
| 29 | [GLM-5.3](https://noometry.com/models/glm-5-3) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 90.9% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-24 |
| 30 | [MiniMax-M3](https://noometry.com/models/minimax-m3) |  [![](/logos/minimax.svg) MiniMax](https://noometry.com/providers/minimax) | 90.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 |
| 31 | [Qwen3.7 Max](https://noometry.com/models/qwen3-7-max) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 90.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| 32 | [Kimi K2.6](https://noometry.com/models/kimi-k2-6) | [Moonshot AI](https://noometry.com/providers/moonshot) | 90.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-05-01 |
| 33 | [Claude Opus 5.5](https://noometry.com/models/claude-opus-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | 90.6% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-22 |
| 34 | [Claude Opus 4.6](https://noometry.com/models/claude-opus-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 90.5% | 32K | [Epoch AI](https://epoch.ai/benchmarks) | 2026-02-06 |
| 35 | [Claude Sonnet 5](https://noometry.com/models/claude-sonnet-5) | [Anthropic](https://noometry.com/providers/anthropic) | 90.5% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-01 |
| 36 | [GPT-6 Luna](https://noometry.com/models/gpt-6-luna) | [OpenAI](https://noometry.com/providers/openai) | 90.5% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-22 |
| 37 | [Claude Opus 4.7](https://noometry.com/models/claude-opus-4-7) | [Anthropic](https://noometry.com/providers/anthropic) | 90.2% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-04-17 |
| 38 | [GLM-5.3-Flash](https://noometry.com/models/glm-5-3-flash) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 90.2% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-26 |
| 39 | [GLM-5.1](https://noometry.com/models/glm-5-1) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 89.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 |
| 40 | [DeepSeek V4.1 Flash](https://noometry.com/models/deepseek-v4-1-flash) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 89.8% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-10-09 |
| 41 | [Muse Spark](https://noometry.com/models/muse-spark) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 89.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-04-08 |
| 42 | [Claude Haiku 5.5](https://noometry.com/models/claude-haiku-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | 89.6% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-10-09 |
| 43 | [Gemini 3 Flash Preview](https://noometry.com/models/gemini-3-flash-preview) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 89.4% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-06 |
| 44 | [Grok 4.20 (Non-Reasoning)](https://noometry.com/models/grok-4-20) | [xAI](https://noometry.com/providers/xai) | 89.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-13 |
| 45 | [Grok 4.3](https://noometry.com/models/grok-4-3) | [xAI](https://noometry.com/providers/xai) | 88.8% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-06-17 |
| 46 | [Inkling-Small](https://noometry.com/models/inkling-small) | [T Thinking Machines Lab](https://noometry.com/providers/thinking-machines) | 88.5% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-14 |
| 47 | [Qwen3.6 Plus](https://noometry.com/models/qwen3-6-plus) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 88.4% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| 48 | [Inkling](https://noometry.com/models/inkling) | [T Thinking Machines Lab](https://noometry.com/providers/thinking-machines) | 88.3% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-05 |
| 49 | [Kimi K2.7 Code](https://noometry.com/models/kimi-k2-7-code) | [Moonshot AI](https://noometry.com/providers/moonshot) | 87.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| 50 | [Qwen3.7 Plus](https://noometry.com/models/qwen3-7-plus) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 87.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| 51 | [GLM-5](https://noometry.com/models/glm-5) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 87.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-02-12 |
| 52 | [GPT-5.1](https://noometry.com/models/gpt-5-1) | [OpenAI](https://noometry.com/providers/openai) | 87.6% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-11-13 |
| 53 | [Kimi K2.5](https://noometry.com/models/kimi-k2-5) | [Moonshot AI](https://noometry.com/providers/moonshot) | 87.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-02-02 |
| 54 | [Claude Sonnet 4.6](https://noometry.com/models/claude-sonnet-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 87.4% | 32K | [Epoch AI](https://epoch.ai/benchmarks) | 2026-02-20 |
| 55 | [Qwen3.6 Max Preview](https://noometry.com/models/qwen3-6-max-preview) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 87.4% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| 56 | [Grok 4](https://noometry.com/models/grok-4) | [xAI](https://noometry.com/providers/xai) | 87% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 57 | [GPT-5.4 mini](https://noometry.com/models/gpt-5-4-mini) | [OpenAI](https://noometry.com/providers/openai) | 86.9% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| 58 | [Qwen3.5 397B-A17B](https://noometry.com/models/qwen3-5-397b-a17b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 86.4% | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| 59 | [GPT-5](https://noometry.com/models/gpt-5) | [OpenAI](https://noometry.com/providers/openai) | 86.2% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-10-29 |
| 60 | [Claude Opus 4.5](https://noometry.com/models/claude-opus-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 86% | 32K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-11-24 |
| 61 | [Claude Fable 5](https://noometry.com/models/claude-fable-5) | [Anthropic](https://noometry.com/providers/anthropic) | 85.9% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-06 |
| 62 | [Qwen3.6 27B](https://noometry.com/models/qwen3-6-27b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 85.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| 63 | [Nemotron 3 Ultra](https://noometry.com/models/nemotron-3-ultra) |  [![](/logos/nvidia.svg) NVIDIA](https://noometry.com/providers/nvidia) | 85.4% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 |
| 64 | [Gemini 2.5 Pro](https://noometry.com/models/gemini-2-5-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 85.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-11-16 |
| 65 | [Qwen3.5 Plus](https://noometry.com/models/qwen3-5-plus) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 84.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| 66 | [Qwen3.6 35B-A3B](https://noometry.com/models/qwen3-6-35b-a3b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 84.8% | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| 67 | [Kimi K2 Thinking Turbo](https://noometry.com/models/kimi-k2-thinking-turbo) | [Moonshot AI](https://noometry.com/providers/moonshot) | 84.2% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-11-11 |
| 68 | [Qwen3.5 35B-A3B](https://noometry.com/models/qwen3-5-35b-a3b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 83.5% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 69 | [DeepSeek-V3.2-Exp](https://noometry.com/models/deepseek-v3-2-exp) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 83.4% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-12-16 |
| 70 | [Gemini 3.5 Flash Lite](https://noometry.com/models/gemini-3-5-flash-lite) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 83.3% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-06 |
| 71 | [GLM-4.7](https://noometry.com/models/glm-4-7) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 83.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-01-29 |
| 72 | [Qwen3.6 Flash](https://noometry.com/models/qwen3-6-flash) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 83.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| 73 | [GPT-5.5 Instant](https://noometry.com/models/gpt-5-5-instant) | [OpenAI](https://noometry.com/providers/openai) | 82.5% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-02 |
| 74 | [Claude Sonnet 4.5](https://noometry.com/models/claude-sonnet-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 82.3% | 59K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-10-28 |
| 75 | [Qwen3.5-Flash](https://noometry.com/models/qwen3-5-flash) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 82.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| 76 | [Qwen3.7 Flash](https://noometry.com/models/qwen3-7-flash) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 82.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| 77 | [Gemini 3.1 Flash Lite](https://noometry.com/models/gemini-3-1-flash-lite) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 81.8% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-06 |
| 78 | [o3](https://noometry.com/models/o3) | [OpenAI](https://noometry.com/providers/openai) | 81.8% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-16 |
| 79 | [Qwen3 235B-A22B](https://noometry.com/models/qwen3-235b-a22b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 80.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-12-11 |
| 80 | [Claude 3.7 Sonnet](https://noometry.com/models/claude-3-7-sonnet) | [Anthropic](https://noometry.com/providers/anthropic) | 79.7% | 64K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-05-26 |
| 81 | [o4-mini](https://noometry.com/models/o4-mini) | [OpenAI](https://noometry.com/providers/openai) | 79.6% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-16 |
| 82 | [Claude Sonnet 4](https://noometry.com/models/claude-sonnet-4) | [Anthropic](https://noometry.com/providers/anthropic) | 79.2% | 59K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-05-26 |
| 83 | [Qwen3.5-9B](https://noometry.com/models/qwen3-5-9b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 79% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 84 | [GPT-5.4 nano](https://noometry.com/models/gpt-5-4-nano) | [OpenAI](https://noometry.com/providers/openai) | 78.5% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-04-14 |
| 85 | [Claude Opus 4.1](https://noometry.com/models/claude-opus-4-1) | [Anthropic](https://noometry.com/providers/anthropic) | 77.3% | 16K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-08-05 |
| 86 | [o3-mini](https://noometry.com/models/o3-mini) | [OpenAI](https://noometry.com/providers/openai) | 77% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-13 |
| 87 | [o1](https://noometry.com/models/o1) | [OpenAI](https://noometry.com/providers/openai) | 76.8% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-13 |
| 88 | [DeepSeek-R1](https://noometry.com/models/deepseek-r1) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 76.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-05-29 |
| 89 | [Claude Opus 4](https://noometry.com/models/claude-opus-4) | [Anthropic](https://noometry.com/providers/anthropic) | 76.3% | 16K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-05-22 |
| 90 | [Grok-3 mini](https://noometry.com/models/grok-3-mini) | [xAI](https://noometry.com/providers/xai) | 76.3% | low | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-10 |
| 91 | [Gemma 4 31B IT](https://noometry.com/models/gemma-4-31b-it) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 75.8% | minimal | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-06 |
| 92 | [gpt-oss-120b](https://noometry.com/models/gpt-oss-120b) | [OpenAI](https://noometry.com/providers/openai) | 75.8% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-12-11 |
| 93 | [Grok 3](https://noometry.com/models/grok-3) | [xAI](https://noometry.com/providers/xai) | 75.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-05-26 |
| 94 | [GPT-5 Mini](https://noometry.com/models/gpt-5-mini) | [OpenAI](https://noometry.com/providers/openai) | 75% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-10-30 |
| 95 | [Gemma 4 26B A4B IT](https://noometry.com/models/gemma-4-26b-a4b-it) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 73.2% | minimal | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-06 |
| 96 | [Qwen3 Max](https://noometry.com/models/qwen3-max) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 72.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-10-06 |
| 97 | [Claude Haiku 4.5](https://noometry.com/models/claude-haiku-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 71.2% | 32K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-10-22 |
| 98 | [Qwen3-30B-A3B](https://noometry.com/models/qwen3-30b-a3b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 70.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| 99 | [GPT-5 Nano](https://noometry.com/models/gpt-5-nano) | [OpenAI](https://noometry.com/providers/openai) | 69.4% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-10-30 |
| 100 | [GPT-4.5](https://noometry.com/models/gpt-4-5) | [OpenAI](https://noometry.com/providers/openai) | 68.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-28 |
| 101 | [DeepSeek-V3](https://noometry.com/models/deepseek-v3) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 67.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-01 |
| 102 | [Llama 4 Maverick](https://noometry.com/models/llama-4-maverick) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 67% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-08 |
| 103 | [GPT-4.1](https://noometry.com/models/gpt-4-1) | [OpenAI](https://noometry.com/providers/openai) | 66.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-14 |
| 104 | [GPT-4.1 mini](https://noometry.com/models/gpt-4-1-mini) | [OpenAI](https://noometry.com/providers/openai) | 65.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-14 |
| 105 | [Qwen3 32B](https://noometry.com/models/qwen3-32b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 65.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 106 | [Gemini 2.0 Pro](https://noometry.com/models/gemini-2-0-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 65.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-07 |
| 107 | [QwQ Plus](https://noometry.com/models/qwq-plus) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 65.4% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-11 |
| 108 | [QwQ-32B](https://noometry.com/models/qwq-32b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 65.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 109 | [DeepSeek-R1-Distill-Qwen-32B](https://noometry.com/models/deepseek-r1-distill-qwen-32b) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 64.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 110 | [Gemini 2.0 Flash (Feb 2025)](https://noometry.com/models/gemini-2-0-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 64.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-06 |
| 111 | [Qwen3 14B](https://noometry.com/models/qwen3-14b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 63.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 112 | [o1-mini](https://noometry.com/models/o1-mini) | [OpenAI](https://noometry.com/providers/openai) | 62.4% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-13 |
| 113 | [gpt-oss-20b](https://noometry.com/models/gpt-oss-20b) | [OpenAI](https://noometry.com/providers/openai) | 60.8% | medium | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 114 | [GLM-4.7-Flash](https://noometry.com/models/glm-4-7-flash) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 60.5% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| 115 | [Mistral Medium](https://noometry.com/models/mistral-medium) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 59.5% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-05-07 |
| 116 | [Gemini 1.5 Pro (May 2024)](https://noometry.com/models/gemini-1-5-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 57.2% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 117 | [Qwen3 8B](https://noometry.com/models/qwen3-8b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 56.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 118 | [Qwen Max](https://noometry.com/models/qwen-max) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 56.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-01 |
| 119 | [Magistral Small](https://noometry.com/models/magistral-small) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 56.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-06 |
| 120 | [Phi-4](https://noometry.com/models/phi-4) |  [![](/logos/microsoft.svg) Microsoft](https://noometry.com/providers/microsoft) | 56.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-31 |
| 121 | [DeepSeek-R1-Distill-Llama-70B](https://noometry.com/models/deepseek-r1-distill-llama-70b) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 55.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-10 |
| 122 | [Claude 3.5 Sonnet](https://noometry.com/models/claude-3-5-sonnet) | [Anthropic](https://noometry.com/providers/anthropic) | 55.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 123 | [Grok-2 (Dec 2024)](https://noometry.com/models/grok-2) | [xAI](https://noometry.com/providers/xai) | 53.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 124 | [Qwen3-4B](https://noometry.com/models/qwen3-4b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 52.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 125 | [Llama 4 Scout](https://noometry.com/models/llama-4-scout) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 51.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-08 |
| 126 | [Mistral Large](https://noometry.com/models/mistral-large) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 51.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-25 |
| 127 | [Llama 3.1-405B](https://noometry.com/models/llama-3-1-405b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 50.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 128 | [GPT-4o](https://noometry.com/models/gpt-4o) | [OpenAI](https://noometry.com/providers/openai) | 49.2% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 129 | [Qwen2.5 72B Instruct](https://noometry.com/models/qwen2-5-72b-instruct) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 49.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 130 | [Mistral Small 3.2](https://noometry.com/models/mistral-small-3-2) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 49.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 131 | [GPT-4.1 nano](https://noometry.com/models/gpt-4-1-nano) | [OpenAI](https://noometry.com/providers/openai) | 48.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-14 |
| 132 | [Qwen Plus](https://noometry.com/models/qwen-plus) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 48.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-07 |
| 133 | [Gemma 3 27B](https://noometry.com/models/gemma-3-27b) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 47.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 134 | [Mistral Small](https://noometry.com/models/mistral-small) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 47.5% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-18 |
| 135 | [Llama-3.3-70B-Instruct](https://noometry.com/models/llama-3-3-70b-instruct) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 47.4% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 136 | [Gemini 1.5 Flash (May 2024)](https://noometry.com/models/gemini-1-5-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 47.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 137 | [Mistral Small 3](https://noometry.com/models/mistral-small-3) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 47.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| 138 | [Claude 3 Opus](https://noometry.com/models/claude-3-opus) | [Anthropic](https://noometry.com/providers/anthropic) | 47.2% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 139 | [GPT-4 Turbo](https://noometry.com/models/gpt-4-turbo) | [OpenAI](https://noometry.com/providers/openai) | 46.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-27 |
| 140 | [Tulu 3 (Tülu 3) 70B](https://noometry.com/models/tulu-3-70b) |  [![](/logos/ai2.svg) Allen Institute for AI (Ai2)](https://noometry.com/providers/ai2) | 46.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 141 | [Qwen2.5 32B Instruct](https://noometry.com/models/qwen2-5-32b-instruct) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 46.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-30 |
| 142 | [DeepSeek-R1-Distill-Qwen-14B](https://noometry.com/models/deepseek-r1-distill-qwen-14b) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 44.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-10 |
| 143 | [Llama 3.1-70B](https://noometry.com/models/llama-3-1-70b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 44.2% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 144 | [WizardLM-2 8x22B](https://noometry.com/models/wizardlm-2-8x22b) |  [![](/logos/microsoft.svg) Microsoft](https://noometry.com/providers/microsoft) | 43.4% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 145 | [Mistral Small 3.1](https://noometry.com/models/mistral-small-3-1) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 41.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| 146 | [Qwen Turbo](https://noometry.com/models/qwen-turbo) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 41.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-07 |
| 147 | [Llama 3.2 90B](https://noometry.com/models/llama-3-2-90b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 41% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 148 | [Qwen2-72B](https://noometry.com/models/qwen2-72b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 40.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 149 | [Claude 3 Sonnet](https://noometry.com/models/claude-3-sonnet) | [Anthropic](https://noometry.com/providers/anthropic) | 40.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 150 | [Llama 3-70B](https://noometry.com/models/llama-3-70b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 40.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 151 | [Gemma 3 12B](https://noometry.com/models/gemma-3-12b) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 39.5% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 152 | [Claude 3.5 Haiku](https://noometry.com/models/claude-3-5-haiku) | [Anthropic](https://noometry.com/providers/anthropic) | 38.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-12 |
| 153 | [Qwen3-1.7B](https://noometry.com/models/qwen3-1-7b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 38% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 154 | [GPT-4o mini](https://noometry.com/models/gpt-4o-mini) | [OpenAI](https://noometry.com/providers/openai) | 37.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 155 | [Gemma 2 27B](https://noometry.com/models/gemma-2-27b) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 36.5% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 156 | [Claude 3 Haiku](https://noometry.com/models/claude-3-haiku) | [Anthropic](https://noometry.com/providers/anthropic) | 36.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 157 | [GPT-4](https://noometry.com/models/gpt-4) | [OpenAI](https://noometry.com/providers/openai) | 35.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-10-23 |
| 158 | [Qwen2.5 7B Instruct](https://noometry.com/models/qwen2-5-7b-instruct) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 35.5% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| 159 | [Claude 2](https://noometry.com/models/claude-2) | [Anthropic](https://noometry.com/providers/anthropic) | 34.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 160 | [Mixtral 8x22B](https://noometry.com/models/mixtral-8x22b) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 34.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 161 | [Gemini 1.0 Pro](https://noometry.com/models/gemini-1-0-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 34% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 162 | [Eurus-2-7B-PRIME](https://noometry.com/models/eurus-2-7b-prime) |  [![](/logos/shanghai-ai-lab.svg) Shanghai AI Lab](https://noometry.com/providers/shanghai-ai-lab) | 33.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 163 | [DeepSeek-R1-Distill-Qwen-1.5B](https://noometry.com/models/deepseek-r1-distill-qwen-1-5b) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 33.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 164 | [Claude 2.1](https://noometry.com/models/claude-2-1) | [Anthropic](https://noometry.com/providers/anthropic) | 33% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 165 | [Gemini 1.5 Flash 8B](https://noometry.com/models/gemini-1-5-flash-8b) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 33% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-12 |
| 166 | [DBRX](https://noometry.com/models/dbrx) |  [![](/logos/databricks.svg) Databricks](https://noometry.com/providers/databricks) | 32.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 167 | [Yi-1.5-34B](https://noometry.com/models/yi-1-5-34b) | [01.AI](https://noometry.com/providers/01-ai) | 32% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 168 | [Qwen1.5-32B](https://noometry.com/models/qwen1-5-32b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 30.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 169 | [Mixtral 8x7B](https://noometry.com/models/mixtral-8x7b) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 30.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 170 | [Mistral Nemo](https://noometry.com/models/mistral-nemo) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 29.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 171 | [Qwen1.5-72B](https://noometry.com/models/qwen1-5-72b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 28.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 172 | [Granite 4.0 Micro](https://noometry.com/models/granite-4-0-micro) | [IBM](https://noometry.com/providers/ibm) | 28.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| 173 | [GPT-3.5-turbo](https://noometry.com/models/gpt-3-5-turbo) | [OpenAI](https://noometry.com/providers/openai) | 28% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 174 | [phi-3-medium 14B](https://noometry.com/models/phi-3-medium-14b) |  [![](/logos/microsoft.svg) Microsoft](https://noometry.com/providers/microsoft) | 27.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-31 |
| 175 | [Gemma 2 9B](https://noometry.com/models/gemma-2-9b) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 27.5% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 176 | [Ministral 8B](https://noometry.com/models/ministral-8b) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 27.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 177 | [Llama 3.1-8B](https://noometry.com/models/llama-3-1-8b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 27% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 178 | [Llama 2-70B](https://noometry.com/models/llama-2-70b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 26.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 179 | [Llama 3-8B](https://noometry.com/models/llama-3-8b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 26.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 180 | [Ministral 3B](https://noometry.com/models/ministral-3b) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 25.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 181 | [DeepSeek LLM 67B](https://noometry.com/models/deepseek-llm-67b) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 24.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 182 | [Llama 3.2 1B](https://noometry.com/models/llama-3-2-1b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 23.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| 183 | [Gemma 3 4B](https://noometry.com/models/gemma-3-4b) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 23.2% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 184 | [Gemma 3 1B](https://noometry.com/models/gemma-3-1b) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 19.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 185 | [Mistral 7B](https://noometry.com/models/mistral-7b) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 15.2% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 186 | [Yi-34B](https://noometry.com/models/yi-34b) | [01.AI](https://noometry.com/providers/01-ai) | 14.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |

## Compare the leaders

-   [GPT-6 Astra vs Claude Sonnet 5.5](https://noometry.com/compare/claude-sonnet-5-5-vs-gpt-6-astra)
-   [GPT-6 Astra vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-gpt-6-astra)
-   [GPT-6 Astra vs GPT-6.1 Sol](https://noometry.com/compare/gpt-6-1-sol-vs-gpt-6-astra)
-   [GPT-6 Astra vs Gemini 3.7 Flash](https://noometry.com/compare/gemini-3-7-flash-vs-gpt-6-astra)
-   [Claude Sonnet 5.5 vs Gemini 3.8 Flash](https://noometry.com/compare/claude-sonnet-5-5-vs-gemini-3-8-flash)
-   [Claude Sonnet 5.5 vs GPT-6.1 Sol](https://noometry.com/compare/claude-sonnet-5-5-vs-gpt-6-1-sol)

## Other knowledge benchmarks

-   [Humanity's Last Exam](https://noometry.com/benchmarks/hle)
-   [SimpleQA Verified](https://noometry.com/benchmarks/simpleqa-verified)
-   [MMLU-Pro](https://noometry.com/benchmarks/mmlu-pro)
-   [Confabulations](https://noometry.com/benchmarks/confabulations)
-   [Vectara Hallucination Rate](https://noometry.com/benchmarks/vectara-hallucination)
-   [LMArena Expert](https://noometry.com/benchmarks/arena-expert)
-   [GPQA (HELM)](https://noometry.com/benchmarks/helm-gpqa)
-   [ARC (AI2) Challenge](https://noometry.com/benchmarks/arc-challenge) (reference)
-   [BoolQ](https://noometry.com/benchmarks/boolq) (reference)
-   [MMLU](https://noometry.com/benchmarks/mmlu) (reference)
-   [OpenBookQA](https://noometry.com/benchmarks/openbookqa) (reference)
-   [TriviaQA](https://noometry.com/benchmarks/triviaqa) (reference)

## Frequently asked questions

### What does GPQA Diamond measure?

198 graduate-level multiple-choice questions in biology, physics and chemistry, written so that skilled non-experts with web access still score poorly.

### Which model has the highest GPQA Diamond score?

As of October 2026, GPT-6 Astra has the highest published GPQA Diamond score on Noometry at 95.8%, out of 186 models with results.

### What is the best open-weight model on GPQA Diamond?

Kimi K3 has the highest GPQA Diamond accuracy among open-weight models at 93.1%, ranking 18 of 186 overall.

### Cite this page

Noometry. (2026). GPQA Diamond leaderboard. Retrieved October 10, 2026, from https://noometry.com/benchmarks/gpqa-diamond

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