Benchmark
MATH
math
reasoning
text
MATH dataset contains 12,500 challenging competition mathematics problems from AMC 10, AMC 12, AIME, and other mathematics competitions. Each problem includes full step-by-step solutions and spans multiple difficulty levels (1-5) across seven mathematical subjects including Prealgebra, Algebra, Number Theory, Counting and Probability, Geometry, Intermediate Algebra, and Precalculus.
语言EN
满分1
参评模型64
模型排名
| 名次 | 模型 | 机构 | 分数 | 来源 |
|---|---|---|---|---|
| 1 | o3-mini | OpenAI | 97.9 | 来源 ↗ |
| 2 | o1 | OpenAI | 96.4 | 来源 ↗ |
| 3 | Gemini 2.0 Flash | 89.7 | 来源 ↗ | |
| 4 | Kimi K2 0905 | Moonshot AI | 89.1 | 来源 ↗ |
| 5 | Gemma 3 27B | 89.0 | 来源 ↗ | |
| 6 | Gemini 2.0 Flash-Lite | 86.8 | 来源 ↗ | |
| 7 | Gemini 1.5 Pro | 86.5 | 来源 ↗ | |
| 8 | o1-preview | OpenAI | 85.5 | 来源 ↗ |
| 9 | GPT-5 | OpenAI | 84.7 | 来源 ↗ |
| 10 | Gemma 3 12B | 83.8 | 来源 ↗ | |
| 11 | Qwen2.5 72B Instruct | Alibaba Cloud / Qwen Team | 83.1 | 来源 ↗ |
| 12 | Qwen2.5 32B Instruct | Alibaba Cloud / Qwen Team | 83.1 | 来源 ↗ |
| 13 | Qwen2.5 VL 32B Instruct | Alibaba Cloud / Qwen Team | 82.2 | 来源 ↗ |
| 14 | Phi 4 | Microsoft | 80.4 | 来源 ↗ |
| 15 | Qwen2.5 14B Instruct | Alibaba Cloud / Qwen Team | 80.0 | 来源 ↗ |
| 16 | Claude 3.5 Sonnet | Anthropic | 78.3 | 来源 ↗ |
| 17 | Gemini 1.5 Flash | 77.9 | 来源 ↗ | |
| 18 | Llama 3.3 70B Instruct | Meta | 77.0 | 来源 ↗ |
| 19 | GPT-4o | OpenAI | 76.6 | 来源 ↗ |
| 20 | Nova Pro | Amazon | 76.6 | 来源 ↗ |
| 21 | Grok-2 | xAI | 76.1 | 来源 ↗ |
| 22 | Gemma 3 4B | 75.6 | 来源 ↗ | |
| 23 | Qwen2.5 7B Instruct | Alibaba Cloud / Qwen Team | 75.5 | 来源 ↗ |
| 24 | DeepSeek-V2.5 | DeepSeek | 74.7 | 来源 ↗ |
| 25 | Llama 3.1 405B Instruct | Meta | 73.8 | 来源 ↗ |
| 26 | Nova Lite | Amazon | 73.3 | 来源 ↗ |
| 27 | Grok-2 mini | xAI | 73.0 | 来源 ↗ |
| 28 | GPT-4 Turbo | OpenAI | 72.6 | 来源 ↗ |
| 29 | Qwen3 235B A22B | Alibaba Cloud / Qwen Team | 71.8 | 来源 ↗ |
| 30 | Qwen2.5-Omni-7B | Alibaba Cloud / Qwen Team | 71.5 | 来源 ↗ |
| 31 | Claude 3.5 Sonnet | Anthropic | 71.1 | 来源 ↗ |
| 32 | Mistral Small 3 24B Instruct | Mistral AI | 70.6 | 来源 ↗ |
| 33 | GPT-4o mini | OpenAI | 70.2 | 来源 ↗ |
| 34 | Kimi K2 Base | Moonshot AI | 70.2 | 来源 ↗ |
| 35 | Mistral Small 3.2 24B Instruct | Mistral AI | 69.4 | 来源 ↗ |
| 36 | Claude 3.5 Haiku | Anthropic | 69.4 | 来源 ↗ |
| 37 | Mistral Small 3.1 24B Instruct | Mistral AI | 69.3 | 来源 ↗ |
| 38 | Nova Micro | Amazon | 69.3 | 来源 ↗ |
| 39 | Llama 3.2 90B Instruct | Meta | 68.0 | 来源 ↗ |
| 40 | Phi 4 Mini | Microsoft | 64.0 | 来源 ↗ |
| 41 | Llama 4 Maverick | Meta | 61.2 | 来源 ↗ |
| 42 | Claude 3 Opus | Anthropic | 60.1 | 来源 ↗ |
| 43 | Qwen2 72B Instruct | Alibaba Cloud / Qwen Team | 59.7 | 来源 ↗ |
| 44 | Phi-3.5-MoE-instruct | Microsoft | 59.5 | 来源 ↗ |
| 45 | Gemini 1.5 Flash 8B | 58.7 | 来源 ↗ | |
| 46 | Qwen2.5-Coder 32B Instruct | Alibaba Cloud / Qwen Team | 57.2 | 来源 ↗ |
| 47 | Ministral 8B Instruct | Mistral AI | 54.5 | 来源 ↗ |
| 48 | Llama 3.2 11B Instruct | Meta | 51.9 | 来源 ↗ |
| 49 | Grok-1.5 | xAI | 50.6 | 来源 ↗ |
| 50 | Llama 4 Scout | Meta | 50.3 | 来源 ↗ |
| 51 | Qwen2 7B Instruct | Alibaba Cloud / Qwen Team | 49.6 | 来源 ↗ |
| 52 | Phi-3.5-mini-instruct | Microsoft | 48.5 | 来源 ↗ |
| 53 | Pixtral-12B | Mistral AI | 48.1 | 来源 ↗ |
| 54 | Llama 3.2 3B Instruct | Meta | 48.0 | 来源 ↗ |
| 55 | Gemma 3 1B | 48.0 | 来源 ↗ | |
| 56 | Qwen2.5-Coder 7B Instruct | Alibaba Cloud / Qwen Team | 46.6 | 来源 ↗ |
| 57 | Mistral Small 3 24B Base | Mistral AI | 46.0 | 来源 ↗ |
| 58 | GPT-3.5 Turbo | OpenAI | 43.1 | 来源 ↗ |
| 59 | Claude 3 Sonnet | Anthropic | 43.1 | 来源 ↗ |
| 60 | Gemma 2 27B | 42.3 | 来源 ↗ | |
| 61 | GPT-4 | OpenAI | 42.0 | 来源 ↗ |
| 62 | Claude 3 Haiku | Anthropic | 38.9 | 来源 ↗ |
| 63 | Gemma 2 9B | 36.6 | 来源 ↗ | |
| 64 | Gemini 1.0 Pro | 32.6 | 来源 ↗ |