long context benchmark
MLVU is a benchmark for multi-task long video understanding in multimodal large language models.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score87.40% | Percentile100.00% | Participants10 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score87.30% | Percentile88.89% | Participants10 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score86.70% | Percentile77.78% | Participants10 | EvidenceC | Evaluated |
| Rank04 | ModelAC | Score86.60% | Percentile66.67% | Participants10 | EvidenceC | Evaluated |
| Rank05 | ModelAC | Score86.20% | Percentile55.56% | Participants10 | EvidenceC | Evaluated |
| Rank06 | ModelAC | Score85.90% | Percentile44.44% | Participants10 | EvidenceC | Evaluated |
| Rank07 | ModelAC | Score85.60% | Percentile33.33% | Participants10 | EvidenceC | Evaluated |
| Rank08 | ModelAC | Score84.30% | Percentile22.22% | Participants10 | EvidenceC | Evaluated |
| Rank09 | ModelAC | Score83.80% | Percentile11.11% | Participants10 | EvidenceC | Evaluated |
| Rank10 | ModelAC | Score70.20% | Percentile0.00% | Participants10 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
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.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about MLVU.
Qwen3.7-Plus is currently ranked first with 87.40%.
The current leaders are Qwen3.7-Plus (87.40%), Qwen3.5-122B-A10B (87.30%), and Qwen3.6 Plus (86.70%).
Qwen3.6-35B-A3B has the lowest matched official input price at $0.25 input / $1.5 output per 1M tokens.
No matched runtime record is currently available.
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures performance on tasks including reasoning, captioning, recognition, and summarization, reported as a Score ratio.
Yes. Higher values rank better for this benchmark.
10 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
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.
Selection summary
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.