multimodal benchmark
MMMUval is the validation set for the MMMU (Massive Multi-discipline Multimodal Understanding and Reasoning) benchmark.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score80.60% | Percentile100.00% | Participants4 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score78.70% | Percentile66.67% | Participants4 | EvidenceC | Evaluated |
| Rank03 | ModelAN | Score77.80% | Percentile33.33% | Participants4 | EvidenceC | Evaluated |
| Rank04 | ModelAC | Score64.50% | Percentile0.00% | Participants4 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What MMMUval measures and how its scores work.
MMMUval is a multimodal benchmark validation set covering Art & Design, Business, Science, Health & Medicine, Humanities & Social Science, and Tech & Engineering.
It measures multimodal understanding and reasoning on tasks requiring college-level subject knowledge and deliberate reasoning, reported as a Score ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about MMMUval.
Qwen3 VL 235B A22B Thinking is currently ranked first with 80.60%.
The current leaders are Qwen3 VL 235B A22B Thinking (80.60%), Qwen3 VL 235B A22B Instruct (78.70%), and Claude Sonnet 4.5 (77.80%).
Claude Sonnet 4.5 has the lowest matched official input price at $3.0 input / $15 output per 1M tokens.
The fastest matched records are Claude Sonnet 4.5 (42.00 tok/s via Anthropic).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures multimodal understanding and reasoning on tasks requiring college-level subject knowledge and deliberate reasoning, reported as a Score ratio.
Yes. Higher values rank better for this benchmark.
4 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis mmmuval AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Qwen3 VL 235B A22B Thinking currently leads MMMUval with 80.60%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.