A video extension of MMMU-style multimodal reasoning over expert questions grounded in temporal media.
As of March 2026, Gemini 3 Pro leads the VideoMMMU leaderboard with 87.6% , followed by Kimi K2.5 (86.6%) and GPT-5.2 (85.9%).
Gemini 3 Pro
Kimi K2.5
Moonshot AI
GPT-5.2
OpenAI
According to BenchLM.ai, Gemini 3 Pro leads the VideoMMMU benchmark with a score of 87.6%, followed by Kimi K2.5 (86.6%) and GPT-5.2 (85.9%). The top models are clustered within 1.7 points, suggesting this benchmark is nearing saturation for frontier models.
11 models have been evaluated on VideoMMMU. The benchmark falls in the Multimodal & Grounded category. This category carries a 12% weight in BenchLM.ai's overall scoring system. VideoMMMU is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
Video-grounded expert reasoning
Format
Video + text reasoning
Difficulty
Frontier multimodal video reasoning
VideoMMMU tests whether multimodal reasoning skills extend from static images into temporal video understanding. It is useful for evaluating long-form visual reasoning rather than static scene recognition.
Qwen3.6 launch benchmarksVersion
VideoMMMU 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 video extension of MMMU-style multimodal reasoning over expert questions grounded in temporal media.
Gemini 3 Pro by Google currently leads with a score of 87.6% on VideoMMMU.
11 AI models have been evaluated on VideoMMMU on BenchLM.
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