multimodal benchmark
MMVU
MMVU (Multimodal Multi-disciplinary Video Understanding) is a benchmark for evaluating multimodal models on video understanding tasks across multiple disciplines, testing comprehension and reasoning capabilities on video content.
Updated Aug 11, 2026
Models4
Model coverage4
MetricScore
EvidenceB
MMVU Ranking
Higher score ranks better on this benchmark.
| 01 | MA | 80.4% | 100.0% | 4 | C | |
| 02 | AC | 74.7% | 66.7% | 4 | C | |
| 03 | AC | 73.3% | 33.3% | 4 | C | |
| 04 | AC | 72.3% | 0.0% | 4 | C |
MMVU Score Distribution
A closer view of the leading scores on this benchmark.
MMVU Highlights
The leading models and scores on this benchmark.
What is MMVU?
What MMVU measures and how its scores work.
MMVU (Multimodal Multi-disciplinary Video Understanding) is a benchmark for evaluating multimodal models on video understanding tasks across multiple disciplines, testing comprehension and reasoning capabilities on video content.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MMVU
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- mmvu|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about MMVU.
Which model scores highest on MMVU?
Kimi K2.5 is currently ranked first with 80.4%.
What does MMVU measure?
MMVU (Multimodal Multi-disciplinary Video Understanding) is a benchmark for evaluating multimodal models on video understanding tasks across multiple disciplines, testing comprehension and reasoning capabilities on video content.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
4 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.