MMMU Pro: leaderboard
1,730 college-level image questions across 30 subjects in 6 disciplines (MMMU team, 2024), filtered to need the image, with 10 options and a vision-only setting that embeds the question in the image.
Metric: Accuracy (%). Source: vals.ai. 93 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Claude Fable 5.1 | 90.64 | #9 |
| 2 | Claude Opus 5 | 89.88 | #12 |
| 3 | Claude Fable 5 | 89.31 | #16 |
| 4 | Gemini 3.8 Flash | 89.08 | #21 |
| 5 | Gemini 3.7 Flash | 88.96 | #23 |
| 6 | GPT-5.6 Sol | 88.84 | #19 |
| 7 | Gemini 3.6 Flash | 88.38 | #51 |
| 8 | GPT-5.5 | 88.27 | #31 |
| 9 | Gemini 3.5 Flash | 88.27 | #60 |
| 10 | Gemini 3.1 Pro (Preview) | 88.21 | #58 |
| 11 | Kimi K3 | 88.15 | #30 |
| 12 | Qwen 3.8 Max | 88.03 | #35 |
| 13 | Gemini 3 Flash (Preview) | 87.63 | #82 |
| 14 | Gemini 3 Pro (Preview) | 87.51 | #66 |
| 15 | GPT-5.4 (2026-03-05) | 87.51 | #59 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=mmmu-pro · How It Works · Data refreshed daily, snapshot 2026-10-20.