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long context benchmark

MLVU Leaderboard

MLVU is a benchmark for multi-task long video understanding in multimodal large language models.

Updated Sep 5, 2026

Models10
Model coverage10
MetricScore
EvidenceB

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MLVU Ranking

Higher score ranks better on this benchmark.

10 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen3.7-PlusAlibaba Cloud / Qwen TeamScore87.40%Percentile100.00%Participants10EvidenceCEvaluatedSep 8, 2026
Rank02ModelACQwen3.5-122B-A10BAlibaba Cloud / Qwen TeamScore87.30%Percentile88.89%Participants10EvidenceCEvaluatedSep 8, 2026
Rank03ModelACQwen3.6 PlusAlibaba Cloud / Qwen TeamScore86.70%Percentile77.78%Participants10EvidenceCEvaluatedSep 8, 2026
Rank04ModelACQwen3.6-27BAlibaba Cloud / Qwen TeamScore86.60%Percentile66.67%Participants10EvidenceCEvaluatedSep 8, 2026
Rank05ModelACQwen3.6-35B-A3BAlibaba Cloud / Qwen TeamScore86.20%Percentile55.56%Participants10EvidenceCEvaluatedSep 8, 2026
Rank06ModelACQwen3.5-27BAlibaba Cloud / Qwen TeamScore85.90%Percentile44.44%Participants10EvidenceCEvaluatedSep 8, 2026
Rank07ModelACQwen3.5-35B-A3BAlibaba Cloud / Qwen TeamScore85.60%Percentile33.33%Participants10EvidenceCEvaluatedSep 8, 2026
Rank08ModelACQwen3 VL 235B A22B InstructAlibaba Cloud / Qwen TeamScore84.30%Percentile22.22%Participants10EvidenceCEvaluatedSep 8, 2026
Rank09ModelACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen TeamScore83.80%Percentile11.11%Participants10EvidenceCEvaluatedSep 8, 2026
Rank10ModelACQwen2.5 VL 7B InstructAlibaba Cloud / Qwen TeamScore70.20%Percentile0.00%Participants10EvidenceCEvaluatedSep 8, 2026

MLVU Highlights

The leading models and scores on this benchmark.

MLVU Score Distribution

A closer view of the leading scores on this benchmark.

MLVU

The Top AI Models for MLVU

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

What is MLVU?

What MLVU measures and how its scores work.

MLVU evaluates multimodal large language models on videos ranging from 3 minutes to 2 hours across 9 distinct tasks.

It measures performance on tasks including reasoning, captioning, recognition, and summarization, reported as a Score ratio.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
MLVU
Modality
multimodal
Primary category
long context
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 MLVU.

Which model scores highest on MLVU?

Qwen3.7-Plus is currently ranked first with 87.40%.

What are the top three models on MLVU?

The current leaders are Qwen3.7-Plus (87.40%), Qwen3.5-122B-A10B (87.30%), and Qwen3.6 Plus (86.70%).

Which MLVU model has the lowest official input price?

Qwen3.6-35B-A3B has the lowest matched official input price at $0.25 input / $1.5 output per 1M tokens.

Which models are fastest among MLVU results?

No matched runtime record is currently available.

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.

What does MLVU measure?

It measures performance on tasks including reasoning, captioning, recognition, and summarization, reported as a Score ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

10 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

Rank #1Qwen3.7-Plus87.40%
Rank #2Qwen3.5-122B-A10B87.30%
Rank #3Qwen3.6 Plus86.70%
Rank #4Qwen3.6-27B86.60%

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

  1. 01
    AC
    Qwen3.7-PlusAlibaba Cloud / Qwen Team
    Score
    87.40%
    Price
    $0.50 input / $3.0 output per 1M tokens

    Strengths

    • Ranks #1 of 10 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MLVU, not total model capability
  2. 02
    AC
    Qwen3.5-122B-A10BAlibaba Cloud / Qwen Team
    Score
    87.30%
    Price
    $0.40 input / $3.2 output per 1M tokens

    Strengths

    • Ranks #2 of 10 compared models
    • 89th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MLVU, not total model capability
  3. 03
    AC
    Alibaba Cloud / Qwen Team
    Score
    86.70%
    Price
    $0.50 input / $3.0 output per 1M tokens

    Strengths

    • Ranks #3 of 10 compared models
    • 78th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MLVU, not total model capability
  4. 04
    AC
    Alibaba Cloud / Qwen Team
    Score
    86.60%
    Price
    $0.60 input / $3.6 output per 1M tokens

    Strengths

    • Ranks #4 of 10 compared models
    • 67th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MLVU, not total model capability
  5. 05
    AC
    Alibaba Cloud / Qwen Team
    Score
    86.20%
    Price
    $0.25 input / $1.5 output per 1M tokens

    Strengths

    • Ranks #5 of 10 compared models
    • 56th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MLVU, not total model capability

Selection summary

Best AI Models for MLVU

Qwen3.7-Plus currently leads MLVU with 87.40%. 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.

Qwen3.6 Plus
Qwen3.6-27B
Qwen3.6-35B-A3B
Benchmark rank #1Qwen3.7-Plus87.40% · $0.50 input / $3.0 output per 1M tokens
Benchmark rank #2Qwen3.5-122B-A10B87.30% · $0.40 input / $3.2 output per 1M tokens
Benchmark rank #3Qwen3.6 Plus86.70% · $0.50 input / $3.0 output per 1M tokens