long context benchmark
MLVU Leaderboard
A comprehensive benchmark for multi-task long video understanding that evaluates multimodal large language models on videos ranging from 3 minutes to 2 hours across 9 distinct tasks including reasoning, captioning, recognition, and summarization.
Updated Aug 17, 2026
Models10
Model coverage10
MetricScore
EvidenceB
MLVU Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score87.4% | Percentile100.0% | Participants10 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score87.3% | Percentile88.9% | Participants10 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score86.7% | Percentile77.8% | Participants10 | EvidenceC | Evaluated |
| Rank04 | ModelAC | Score86.6% | Percentile66.7% | Participants10 | EvidenceC | Evaluated |
| Rank05 | ModelAC | Score86.2% | Percentile55.6% | Participants10 | EvidenceC | Evaluated |
| Rank06 | ModelAC | Score85.9% | Percentile44.4% | Participants10 | EvidenceC | Evaluated |
| Rank07 | ModelAC | Score85.6% | Percentile33.3% | Participants10 | EvidenceC | Evaluated |
| Rank08 | ModelAC | Score84.3% | Percentile22.2% | Participants10 | EvidenceC | Evaluated |
| Rank09 | ModelAC | Score83.8% | Percentile11.1% | Participants10 | EvidenceC | Evaluated |
| Rank10 | ModelAC | Score70.2% | Percentile0.0% | Participants10 | EvidenceC | Evaluated |
MLVU Highlights
The leading models and scores on this benchmark.
MLVU Score Distribution
A closer view of the leading scores on this benchmark.
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.
Ranking basisThis mlvu 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.
- 01ACQwen3.7-PlusAlibaba Cloud / Qwen Team
- Score
- 87.4%
- 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
- 02ACQwen3.5-122B-A10BAlibaba Cloud / Qwen Team
- Score
- 87.3%
- 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
- 03ACQwen3.6 PlusAlibaba Cloud / Qwen Team
- Score
- 86.7%
- Price
- $0.50 input / $3.0 output per 1M tokens
- Speed
- Up to 16 tok/s via Together
Strengths
- Ranks #3 of 10 compared models
- 78th percentile on this benchmark
- C evidence result
Considerations
- This result measures MLVU, not total model capability
- 04ACQwen3.6-27BAlibaba Cloud / Qwen Team
- Score
- 86.6%
- Price
- $0.60 input / $3.6 output per 1M tokens
- Speed
- Up to 6.1 tok/s via Novita
Strengths
- Ranks #4 of 10 compared models
- 67th percentile on this benchmark
- C evidence result
Considerations
- This result measures MLVU, not total model capability
- 05ACQwen3.6-35B-A3BAlibaba Cloud / Qwen Team
- Score
- 86.2%
- 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 87.4%. 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.
What is MLVU?
What MLVU measures and how its scores work.
A comprehensive benchmark for multi-task long video understanding that evaluates multimodal large language models on videos ranging from 3 minutes to 2 hours across 9 distinct tasks including reasoning, captioning, recognition, and summarization.
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
- Yes
- Evaluation key
- mlvu|llm-stats-current
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 87.4%.
What does MLVU measure?
A comprehensive benchmark for multi-task long video understanding that evaluates multimodal large language models on videos ranging from 3 minutes to 2 hours across 9 distinct tasks including reasoning, captioning, recognition, and summarization.
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?
Yes. This benchmark can contribute to the current LLMBoard capability score.