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Benchmark profile

Multimodal Multi-disciplinary Video Understanding (MMVU)

A benchmark for evaluating multimodal models on video understanding tasks across multiple disciplines, emphasizing temporal reasoning and comprehension over video content.

Data verified

Benchmark score on MMVU — July 23, 2026

BenchLM mirrors the published score view for MMVU. Kimi K2.5 leads the public snapshot at 80.4% , followed by Qwen3.5-122B-A10B (74.7%) and Qwen3.5-27B (73.3%). BenchLM does not use these results to rank models overall.

4 modelsMultimodal & GroundedCurrentDisplay onlyUpdated July 23, 2026

Benchmark score table (4 models)

Score
1
Kimi K2.5Moonshot AI · Open weight
80.4%
2
Qwen3.5-122B-A10BAlibaba · Open weight
74.7%
3
Qwen3.5-27BAlibaba · Open weight
73.3%
4
Qwen3.5-35B-A3BAlibaba · Open weight
72.3%

The published MMVU snapshot places Kimi K2.5 first at 80.4%. The third row is 7.1 points behind. The broader top-10 range is 8.1 points, so many of the published results sit in a relatively narrow band.

4 models have been evaluated on MMVU. The benchmark falls in the Multimodal & Grounded category. This category carries a 12% weight in BenchLM.ai's overall scoring system. MMVU is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About MMVU

Year

2026

Tasks

Video understanding

Format

Video reasoning benchmark

Difficulty

Multi-disciplinary multimodal video reasoning

MMVU is a useful video-understanding benchmark for BenchLM because it appears in frontier provider tables and complements Video-MME with a more discipline-oriented video reasoning slice.

BenchLM freshness & provenance

Version

MMVU 2026

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

CurrentDisplay only

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.

FAQ

What does MMVU measure?

A benchmark for evaluating multimodal models on video understanding tasks across multiple disciplines, emphasizing temporal reasoning and comprehension over video content.

Which model scores highest on MMVU?

Kimi K2.5 by Moonshot AI currently leads with a score of 80.4% on MMVU.

How many models are evaluated on MMVU?

4 AI models have been evaluated on MMVU on BenchLM.

Last updated: July 23, 2026 · BenchLM version MMVU 2026

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