← Benchmarks
MMMU-Pro
A more robust multi-discipline multimodal understanding benchmark that enhances MMMU through a three-step process: filtering text-only answerable questions, augmenting candidate options, and introducing vision-only input settings. Achieves significantly lower model performance (16.8-26.9%) compared to original MMMU, providing more rigorous evaluation that closely mimics real-world scenarios.
id mmmu-pro · max 1 · 72 models reported
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3.5 Flash Google | 0.84 |
| 2 | GPT-5.5 OpenAI | 0.83 |
| 3 | GPT-5.6 Sol OpenAI | 0.83 |
| 4 | Seed 2.1 Pro ByteDance | 0.83 |
| 5 | Qwen3.8 Max Alibaba Cloud / Qwen Team · open | 0.82 |
| 6 | Seed 2.1 Turbo ByteDance | 0.82 |
| 7 | Kimi K3 Moonshot AI · open | 0.82 |
| 8 | Gemini 3 Flash Google | 0.81 |
| 9 | GPT-5.4 OpenAI | 0.81 |
| 10 | Gemini 3 Pro Google | 0.81 |
| 11 | GPT-5.6 Terra OpenAI | 0.81 |
| 12 | Gemini 3.1 Pro Google | 0.81 |
| 13 | Muse Spark Meta | 0.80 |
| 14 | Kimi K2.6 Moonshot AI · open | 0.80 |
| 15 | GPT-5.2 OpenAI | 0.80 |
| 16 | Qwen3.7-Plus Alibaba Cloud / Qwen Team | 0.79 |
| 17 | Qwen3.6 Plus Alibaba Cloud / Qwen Team | 0.79 |
| 18 | Kimi K2.5 Moonshot AI · open | 0.79 |
| 19 | GPT-5 OpenAI | 0.78 |
| 20 | GPT-5.6 Luna OpenAI | 0.78 |
| 21 | MiniMax M3 MiniMax · open | 0.78 |
| 22 | MiMo-V2.5 Xiaomi · open | 0.78 |
| 23 | Claude Opus 4.6 Anthropic | 0.77 |
| 24 | Gemma 4 31B Google · open | 0.77 |
| 25 | Qwen3.5-122B-A10B Alibaba Cloud / Qwen Team · open | 0.77 |
| 26 | Gemini 3.1 Flash-Lite Google | 0.77 |
| 27 | GPT-5.4 mini OpenAI | 0.77 |
| 28 | o3 OpenAI | 0.76 |
| 29 | GPT-5.5 Instant OpenAI | 0.76 |
| 30 | Qwen3.6-27B Alibaba Cloud / Qwen Team · open | 0.76 |
| 31 | Claude Sonnet 4.6 Anthropic | 0.76 |
| 32 | Qwen3.6-35B-A3B Alibaba Cloud / Qwen Team · open | 0.75 |
| 33 | Qwen3.5-35B-A3B Alibaba Cloud / Qwen Team · open | 0.75 |
| 34 | Qwen3.5-27B Alibaba Cloud / Qwen Team · open | 0.75 |
| 35 | Inkling-Small Thinking Machines Lab · open | 0.74 |
| 36 | Muse Glimmer-30B Meta · open | 0.74 |
| 37 | Gemma 4 26B-A4B Google · open | 0.74 |
| 38 | Inkling Thinking Machines Lab · open | 0.73 |
| 39 | Seed 1.8 ByteDance | 0.73 |
| 40 | Seed 2.0 Mini ByteDance | 0.71 |
| 41 | Qwen3 VL 235B A22B Thinking Alibaba Cloud / Qwen Team · open | 0.69 |
| 42 | Gemma 4 12B Google · open | 0.69 |
| 43 | EXAONE 4.5 33B LG AI Research | 0.69 |
| 44 | Qwen3 VL 235B A22B Instruct Alibaba Cloud / Qwen Team · open | 0.68 |
| 45 | Qwen3 VL 32B Thinking Alibaba Cloud / Qwen Team · open | 0.68 |
| 46 | GPT-5.4 nano OpenAI | 0.66 |
| 47 | Qwen3 VL 32B Instruct Alibaba Cloud / Qwen Team · open | 0.65 |
| 48 | Nova 2 Pro Amazon | 0.64 |
| 49 | Command A+ Cohere · open | 0.63 |
| 50 | Qwen3 VL 30B A3B Thinking Alibaba Cloud / Qwen Team · open | 0.63 |
| 51 | Nova 2 Lite Amazon | 0.62 |
| 52 | Nova 2 Omni Amazon | 0.61 |
| 53 | Qwen3 VL 30B A3B Instruct Alibaba Cloud / Qwen Team · open | 0.60 |
| 54 | Qwen3 VL 8B Thinking Alibaba Cloud / Qwen Team · open | 0.60 |
| 55 | Mistral Small 4 Mistral AI · open | 0.60 |
| 56 | GPT-4o OpenAI | 0.60 |
| 57 | Llama 4 Maverick Meta · open | 0.60 |
| 58 | Qwen3 VL 4B Thinking Alibaba Cloud / Qwen Team · open | 0.57 |
| 59 | Qwen3 VL 8B Instruct Alibaba Cloud / Qwen Team · open | 0.56 |
| 60 | DiffusionGemma 26B-A4B Google · open | 0.54 |
| 61 | Qwen3 VL 4B Instruct Alibaba Cloud / Qwen Team · open | 0.53 |
| 62 | Gemma 4 E4B Google · open | 0.53 |
| 63 | Qwen2.5 VL 72B Instruct Alibaba Cloud / Qwen Team · open | 0.51 |
| 64 | Qwen2.5 VL 32B Instruct Alibaba Cloud / Qwen Team · open | 0.49 |
| 65 | Qwen2-VL-72B-Instruct Alibaba Cloud / Qwen Team · open | 0.46 |
| 66 | Llama 3.2 90B Instruct Meta · open | 0.45 |
| 67 | Gemma 4 E2B Google · open | 0.44 |
| 68 | Phi-4-multimodal-instruct Microsoft · open | 0.39 |
| 69 | Qwen2.5 VL 7B Instruct Alibaba Cloud / Qwen Team · open | 0.38 |
| 70 | Qwen2.5-Omni-7B Alibaba Cloud / Qwen Team · open | 0.37 |
| 71 | Llama 3.2 11B Instruct Meta · open | 0.33 |
| 72 | LFM2.5-VL-3B Liquid AI · open | 0.30 |
