VideoMMMU

Video-MMMU evaluates Large Multimodal Models' ability to acquire knowledge from expert-level professional videos across six disciplines through three cognitive stages: perception, comprehension, and adaptation. Contains 300 videos and 900 human-annotated questions spanning Art, Business, Science, Medicine, Humanities, and Engineering.

Gemini 3 Pro from Google currently leads the VideoMMMU leaderboard with a score of 0.876 across 24 evaluated AI models.

Paper

GoogleGemini 3 Pro leads with 87.6%, followed by GoogleGemini 3 Flash at 86.9% and Moonshot AIKimi K2.5 at 86.6%.

Progress Over Time

Interactive timeline showing model performance evolution on VideoMMMU

State-of-the-art frontier
Open
Proprietary

VideoMMMU Leaderboard

24 models
ContextCostLicense
1
21.0M$0.50 / $3.00
3
Moonshot AI
Moonshot AI
1.0T
4
OpenAI
OpenAI
400K$1.75 / $14.00
51.0M$0.25 / $1.50
6
OpenAI
OpenAI
7
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
28B262K$0.60 / $3.60
8
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
1.0M$0.50 / $3.00
9
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
35B
10
11
OpenAI
OpenAI
12
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
27B262K$0.30 / $2.40
13
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
122B262K$0.40 / $3.20
14
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
35B262K$0.25 / $2.00
15
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
236B262K$0.45 / $3.49
16
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
33B
17
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
31B
18
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
236B262K$0.30 / $1.49
19
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
9B262K$0.18 / $2.09
20
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
4B262K$0.10 / $1.00
21
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
31B
22
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
9B262K$0.08 / $0.50
23
OpenAI
OpenAI
128K$2.50 / $10.00
24
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
4B262K$0.10 / $0.60
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FAQ

Common questions about VideoMMMU.

What is the VideoMMMU benchmark?

Video-MMMU evaluates Large Multimodal Models' ability to acquire knowledge from expert-level professional videos across six disciplines through three cognitive stages: perception, comprehension, and adaptation. Contains 300 videos and 900 human-annotated questions spanning Art, Business, Science, Medicine, Humanities, and Engineering.

What is the VideoMMMU leaderboard?

The VideoMMMU leaderboard ranks 24 AI models based on their performance on this benchmark. Currently, Gemini 3 Pro by Google leads with a score of 0.876. The average score across all models is 0.784.

What is the highest VideoMMMU score?

The highest VideoMMMU score is 0.876, achieved by Gemini 3 Pro from Google.

How many models are evaluated on VideoMMMU?

24 models have been evaluated on the VideoMMMU benchmark, with 0 verified results and 24 self-reported results.

Where can I find the VideoMMMU paper?

The VideoMMMU paper is available at https://arxiv.org/abs/2501.13826. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does VideoMMMU cover?

VideoMMMU is categorized under vision, healthcare, multimodal, and reasoning. The benchmark evaluates multimodal models.

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