multimodal benchmark
MMMU (validation) Leaderboard
MMMU (validation) is a validation set of the Massive Multi-discipline Multimodal Understanding and Reasoning benchmark, featuring college-level multimodal questions across 6 core disciplines, 30 subjects, and 183 subfields with diverse image types.
Updated Sep 5, 2026
Models4
Model coverage4
MetricScore
EvidenceB
MMMU (validation) Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAN | Score80.70% | Percentile100.00% | Participants4 | EvidenceC | Evaluated |
| Rank02 | ModelAN | Score77.10% | Percentile66.67% | Participants4 | EvidenceC | Evaluated |
| Rank03 | ModelAN | Score76.50% | Percentile33.33% | Participants4 | EvidenceC | Evaluated |
| Rank04 | ModelAN | Score73.20% | Percentile0.00% | Participants4 | EvidenceC | Evaluated |
MMMU (validation) Highlights
The leading models and scores on this benchmark.
MMMU (validation) Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for MMMU (validation)
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is MMMU (validation)?
What MMMU (validation) measures and how its scores work.
MMMU (validation) is the validation set of the Massive Multi-discipline Multimodal Understanding and Reasoning benchmark, covering Art & Design, Business, Science, Health & Medicine, Humanities & Social Science, and Tech & Engineering.
It measures Score, reported as a ratio, on college-level multimodal questions.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MMMU (validation)
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about MMMU (validation).
Which model scores highest on MMMU (validation)?
Claude Opus 4.5 is currently ranked first with 80.70%.
What are the top three models on MMMU (validation)?
The current leaders are Claude Opus 4.5 (80.70%), Claude Opus 4.1 (77.10%), and Claude Opus 4 (76.50%).
Which MMMU (validation) model has the lowest official input price?
Claude Haiku 4.5 has the lowest matched official input price at $1.0 input / $5.0 output per 1M tokens.
Which models are fastest among MMMU (validation) results?
The fastest matched records are Claude Opus 4.1 (100.00 tok/s via Anthropic), Claude Opus 4 (100.00 tok/s via Anthropic), and Claude Haiku 4.5 (100.00 tok/s via Vertex AI).
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.