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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 7, 2026

Published models4
Registry coverage4
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

MMVU leaderboard

Sorted by the source-provided rank. Higher score is better according to the registry.

4 rows
Columns

Show columns

1MAKimi K2.5Moonshot AI80.4%100.0%4CAug 7, 2026
2ACQwen3.5-122B-A10BAlibaba Cloud / Qwen Team74.7%66.7%4CAug 7, 2026
3ACQwen3.5-27BAlibaba Cloud / Qwen Team73.3%33.3%4CAug 7, 2026
4ACQwen3.5-35B-A3BAlibaba Cloud / Qwen Team72.3%0.0%4CAug 7, 2026

Score distribution

Top published rows on the benchmark's original scale.

MMVU

MMVU highlights

The top published results on this benchmark's own scale.

Rank #1Kimi K2.580.4%Rank #2Qwen3.5-122B-A10B74.7%Rank #3Qwen3.5-27B73.3%Rank #4Qwen3.5-35B-A3B72.3%

What is MMVU?

Definition and scoring fields from the benchmark registry.

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. The current registry marks this benchmark as not independently verified with evidence level B.

Family
MMVU
Modality
multimodal
Primary category
multimodal
Score direction
higher
LLMBoard eligible
No
Evaluation key
mmvu|llm-stats-current

Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.

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 unique published model results are currently shown.

Does this benchmark affect the overall score?

This benchmark is preserved as source-native evidence but is not eligible for the current overall score.

Rankings

OverallCodingText ArenaPricing

Modalities

Image GenerationVideo GenerationSpeech-to-TextEmbeddings

Benchmarks

All BenchmarksReasoningMathCoding

Vendors

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