A multi-task video understanding benchmark averaged across MLVU categories.
BenchLM mirrors the published score view for MLVU (M-Avg). Qwen3.7 Plus leads the public snapshot at 87.4% , followed by Qwen3.6-27B (86.6%) and Qwen3.6-35B-A3B (86.2%). BenchLM does not use these results to rank models overall.
Qwen3.7 Plus
Alibaba
Qwen3.6-27B
Alibaba
Qwen3.6-35B-A3B
Alibaba
The published MLVU (M-Avg) snapshot is tightly clustered at the top: Qwen3.7 Plus sits at 87.4%, while the third row is only 1.2 points behind. The broader top-10 spread is 1.2 points, so many of the published scores sit in a relatively narrow band.
3 models have been evaluated on MLVU (M-Avg). The benchmark falls in the Multimodal & Grounded category. This category carries a 12% weight in BenchLM.ai's overall scoring system. MLVU (M-Avg) is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
General video understanding
Format
Video QA and understanding
Difficulty
Broad multimodal video reasoning
MLVU captures general-purpose video understanding rather than a single narrow skill. BenchLM tracks the mean-average summary row so provider comparison tables can be compared directly.
Version
MLVU (M-Avg) 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
A multi-task video understanding benchmark averaged across MLVU categories.
Qwen3.7 Plus by Alibaba currently leads with a score of 87.4% on MLVU (M-Avg).
3 AI models have been evaluated on MLVU (M-Avg) on BenchLM.
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