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multimodal benchmark

MMVU Leaderboard

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 17, 2026

Models4
Model coverage4
MetricScore
EvidenceB

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MMVU Ranking

Higher score ranks better on this benchmark.

4 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelMAKimi K2.5Moonshot AIScore80.4%Percentile100.0%Participants4EvidenceCEvaluatedAug 17, 2026
Rank02ModelACQwen3.5-122B-A10BAlibaba Cloud / Qwen TeamScore74.7%Percentile66.7%Participants4EvidenceCEvaluatedAug 17, 2026
Rank03ModelACQwen3.5-27BAlibaba Cloud / Qwen TeamScore73.3%Percentile33.3%Participants4EvidenceCEvaluatedAug 17, 2026
Rank04ModelACQwen3.5-35B-A3BAlibaba Cloud / Qwen TeamScore72.3%Percentile0.0%Participants4EvidenceCEvaluatedAug 17, 2026

MMVU Highlights

The leading models and scores on this benchmark.

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

MMVU Score Distribution

A closer view of the leading scores on this benchmark.

MMVU

The Top AI Models for MMVU

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

Ranking basisThis mmvu AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    MA
    Kimi K2.5Moonshot AI
    Score
    80.4%
    Price
    $0.60 input / $3.0 output per 1M tokens

    Strengths

    • Ranks #1 of 4 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MMVU, not total model capability
  2. 02
    AC
    Qwen3.5-122B-A10BAlibaba Cloud / Qwen Team
    Score
    74.7%
    Price
    $0.40 input / $3.2 output per 1M tokens

    Strengths

    • Ranks #2 of 4 compared models
    • 67th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MMVU, not total model capability
  3. 03
    AC
    Qwen3.5-27BAlibaba Cloud / Qwen Team
    Score
    73.3%
    Price
    $0.30 input / $2.4 output per 1M tokens
    Speed
    Up to 6.7 tok/s via Novita

    Strengths

    • Ranks #3 of 4 compared models
    • 33th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MMVU, not total model capability
  4. 04
    AC
    Qwen3.5-35B-A3BAlibaba Cloud / Qwen Team
    Score
    72.3%
    Price
    $0.25 input / $2.0 output per 1M tokens

    Strengths

    • Ranks #4 of 4 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MMVU, not total model capability

Selection summary

Best AI Models for MMVU

Kimi K2.5 currently leads MMVU with 80.4%. 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.

Benchmark rank #1Kimi K2.580.4% · $0.60 input / $3.0 output per 1M tokensBenchmark rank #2Qwen3.5-122B-A10B74.7% · $0.40 input / $3.2 output per 1M tokensBenchmark rank #3Qwen3.5-27B73.3% · $0.30 input / $2.4 output per 1M tokens

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.