multimodal benchmark
Validation set of the Massive Multi-discipline Multimodal Understanding and Reasoning benchmark. Features college-level multimodal questions across 6 core disciplines (Art & Design, Business, Science, Health & Medicine, Humanities & Social Science, Tech & Engineering) spanning 30 subjects and 183 subfields with diverse image types including charts, diagrams, maps, and tables.
Updated Aug 11, 2026
Higher score ranks better on this benchmark.
| 01 | AN | 80.7% | 100.0% | 4 | C | |
| 02 | AN | 77.1% | 66.7% | 4 | C | |
| 03 | AN | 76.5% | 33.3% | 4 | C | |
| 04 | AN | 73.2% | 0.0% | 4 | C |
A closer view of the leading scores on this benchmark.
The leading models and scores on this benchmark.
What MMMU (validation) measures and how its scores work.
Validation set of the Massive Multi-discipline Multimodal Understanding and Reasoning benchmark. Features college-level multimodal questions across 6 core disciplines (Art & Design, Business, Science, Health & Medicine, Humanities & Social Science, Tech & Engineering) spanning 30 subjects and 183 subfields with diverse image types including charts, diagrams, maps, and tables.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about MMMU (validation).
Claude Opus 4.5 is currently ranked first with 80.7%.
Validation set of the Massive Multi-discipline Multimodal Understanding and Reasoning benchmark. Features college-level multimodal questions across 6 core disciplines (Art & Design, Business, Science, Health & Medicine, Humanities & Social Science, Tech & Engineering) spanning 30 subjects and 183 subfields with diverse image types including charts, diagrams, maps, and tables.
Yes. Higher values rank better for this benchmark.
4 model results are currently shown.
Yes. This benchmark can contribute to the current LLMBoard capability score.