Benchmark
MMMU
MMMU (Massive Multi-discipline Multimodal Understanding) is a benchmark designed to evaluate multimodal models on college-level subject knowledge and…
- Released
- 2023-11-27
- Modality
- multimodal
- Categories
- multimodal, reasoning, general, healthcare, vision
- Openness
- open
- Source
- llm_stats
- Reported scores
- 63
Reported scores
llm_stats
| Model | Organization | Reported value | Reported | Evidence |
|---|---|---|---|---|
| Claude 3.5 Sonnet | Anthropic | 0.683 | 2024-10-22 | evidence |
| Claude 3.7 Sonnet | Anthropic | 0.75 | 2025-02-24 | evidence |
| Claude Sonnet 4 | Anthropic | 0.744 | 2025-05-22 | evidence |
| Command A+ | Cohere | 0.751 | 2026-05-20 | evidence |
| DeepSeek VL2 | DeepSeek | 0.511 | 2024-12-13 | evidence |
| DeepSeek VL2 Small | DeepSeek | 0.48 | 2024-12-13 | evidence |
| DeepSeek VL2 Tiny | DeepSeek | 0.407 | 2024-12-13 | evidence |
| Gemini 1.0 Pro | 0.479 | 2024-02-15 | evidence | |
| Gemini 1.5 Flash | 0.623 | 2024-05-01 | evidence | |
| Gemini 1.5 Flash 8B | 0.537 | 2024-03-15 | evidence | |
| Gemini 1.5 Pro | 0.659 | 2024-05-01 | evidence | |
| Gemini 2.0 Flash | 0.707 | 2024-12-01 | evidence | |
| Gemini 2.0 Flash Thinking | 0.754 | 2025-01-21 | evidence | |
| Gemini 2.0 Flash-Lite | 0.68 | 2025-02-05 | evidence | |
| Gemini 2.5 Flash | 0.797 | 2025-05-20 | evidence | |
| Gemini 2.5 Flash-Lite | 0.729 | 2025-06-17 | evidence | |
| Gemini 2.5 Pro | 0.796 | 2025-05-20 | evidence | |
| Gemini 2.5 Pro Preview 06-05 | 0.82 | 2025-06-05 | evidence | |
| GPT-3.5 Turbo | OpenAI | 0.0 | 2023-03-21 | evidence |
| GPT-4.1 | OpenAI | 0.748 | 2025-04-14 | evidence |
| GPT-4.1 mini | OpenAI | 0.727 | 2025-04-14 | evidence |
| GPT-4.1 nano | OpenAI | 0.554 | 2025-04-14 | evidence |
| GPT-4.5 | OpenAI | 0.752 | 2025-02-27 | evidence |
| GPT-4o | OpenAI | 0.722 | 2024-08-06 | evidence |
| GPT-4o mini | OpenAI | 0.594 | 2024-07-18 | evidence |
| GPT-5 | OpenAI | 0.842 | 2025-08-07 | evidence |
| GPT-5.1 | OpenAI | 0.854 | 2025-11-13 | evidence |
| GPT-5.1 Instant | OpenAI | 0.854 | 2025-11-12 | evidence |
| GPT-5.1 Thinking | OpenAI | 0.854 | 2025-11-12 | evidence |
| Grok-1.5 | xAI | 0.536 | 2024-03-28 | evidence |
| Grok-1.5V | xAI | 0.536 | 2024-04-12 | evidence |
| Grok-2 | xAI | 0.661 | 2024-08-13 | evidence |
| Grok-2 mini | xAI | 0.632 | 2024-08-13 | evidence |
| Grok-3 | xAI | 0.78 | 2025-02-17 | evidence |
| Kimi-k1.5 | Moonshot AI | 0.7 | 2025-01-20 | evidence |
| Llama 3.2 11B Instruct | Meta | 0.507 | 2024-09-25 | evidence |
| Llama 3.2 90B Instruct | Meta | 0.603 | 2024-09-25 | evidence |
| Llama 4 Maverick | Meta | 0.734 | 2025-04-05 | evidence |
| Llama 4 Scout | Meta | 0.694 | 2025-04-05 | evidence |
| Mistral Small 3.1 24B Base | Mistral | 0.5927 | 2025-03-17 | evidence |
| Mistral Small 3.1 24B Instruct | Mistral | 0.5927 | 2025-03-17 | evidence |
| Mistral Small 3.2 24B Instruct | Mistral | 0.625 | 2025-06-20 | evidence |
| Nova Lite | Amazon | 0.562 | 2024-11-20 | evidence |
| Nova Pro | Amazon | 0.617 | 2024-11-20 | evidence |
| o1 | OpenAI | 0.776 | 2024-12-17 | evidence |
| o3 | OpenAI | 0.829 | 2025-04-16 | evidence |
| o4-mini | OpenAI | 0.816 | 2025-04-16 | evidence |
| Phi-3.5-vision-instruct | Microsoft | 0.43 | 2024-08-23 | evidence |
| Phi-4-multimodal-instruct | Microsoft | 0.551 | 2025-02-01 | evidence |
| Pixtral Large | Mistral | 0.64 | 2024-11-18 | evidence |
| Pixtral-12B | Mistral | 0.525 | 2024-09-17 | evidence |
| QvQ-72B-Preview | Qwen | 0.703 | 2024-12-25 | evidence |
| Qwen2.5 VL 32B Instruct | Qwen | 0.7 | 2025-02-28 | evidence |
| Qwen2.5 VL 72B Instruct | Qwen | 0.702 | 2025-01-26 | evidence |
| Qwen2.5 VL 7B Instruct | Qwen | 0.586 | 2025-01-26 | evidence |
| Qwen2.5-Omni-7B | Qwen | 0.592 | 2025-03-27 | evidence |
| Qwen3.5-122B-A10B | Qwen | 0.839 | 2026-02-24 | evidence |
| Qwen3.5-27B | Qwen | 0.823 | 2026-02-24 | evidence |
| Qwen3.5-35B-A3B | Qwen | 0.814 | 2026-02-24 | evidence |
| Qwen3.6 Plus | Qwen | 0.86 | 2026-04-02 | evidence |
| Qwen3.6-27B | Qwen | 0.829 | 2026-04-21 | evidence |
| Qwen3.6-35B-A3B | Qwen | 0.817 | 2026-04-16 | evidence |
| Step3-VL-10B | StepFun | 0.781 | 2026-01-15 | evidence |
Scores are partitioned by the source that reported them and are never merged into a single cross-source ranking, because the sources measure different things and say so.