MVBench

A comprehensive multi-modal video understanding benchmark covering 20 challenging video tasks that require temporal understanding beyond single-frame analysis. Tasks span from perception to cognition, including action recognition, temporal reasoning, spatial reasoning, object interaction, scene transition, and counterfactual inference. Uses a novel static-to-dynamic method to systematically generate video tasks from existing annotations.

Qwen3.5-122B-A10B from Alibaba Cloud / Qwen Team currently leads the MVBench leaderboard with a score of 0.766 across 17 evaluated AI models.

Paper

Alibaba Cloud / Qwen TeamQwen3.5-122B-A10B leads with 76.6%, followed by Alibaba Cloud / Qwen TeamQwen3.6-27B at 75.5% and Alibaba Cloud / Qwen TeamQwen3.5-35B-A3B at 74.8%.

Progress Over Time

Interactive timeline showing model performance evolution on MVBench

State-of-the-art frontier
Open
Proprietary

MVBench Leaderboard

17 models
ContextCostLicense
1
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
122B262K$0.40 / $3.20
2
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
28B262K$0.60 / $3.60
3
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
35B262K$0.25 / $2.00
4
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
27B262K$0.30 / $2.40
4
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
35B
6
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
73B
7
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
33B
8
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
33B
9
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
31B262K$0.20 / $0.70
10
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
31B262K$0.20 / $1.00
11
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
72B
12
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
7B
13
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
8B
14
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
4B262K$0.10 / $1.00
15
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
9B262K$0.18 / $2.09
16
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
4B262K$0.10 / $0.60
17
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
9B262K$0.08 / $0.50
Notice missing or incorrect data?

FAQ

Common questions about MVBench.

What is the MVBench benchmark?

A comprehensive multi-modal video understanding benchmark covering 20 challenging video tasks that require temporal understanding beyond single-frame analysis. Tasks span from perception to cognition, including action recognition, temporal reasoning, spatial reasoning, object interaction, scene transition, and counterfactual inference. Uses a novel static-to-dynamic method to systematically generate video tasks from existing annotations.

What is the MVBench leaderboard?

The MVBench leaderboard ranks 17 AI models based on their performance on this benchmark. Currently, Qwen3.5-122B-A10B by Alibaba Cloud / Qwen Team leads with a score of 0.766. The average score across all models is 0.721.

What is the highest MVBench score?

The highest MVBench score is 0.766, achieved by Qwen3.5-122B-A10B from Alibaba Cloud / Qwen Team.

How many models are evaluated on MVBench?

17 models have been evaluated on the MVBench benchmark, with 0 verified results and 17 self-reported results.

Where can I find the MVBench paper?

The MVBench paper is available at https://arxiv.org/abs/2311.17005. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does MVBench cover?

MVBench is categorized under multimodal, reasoning, spatial reasoning, video, and vision. The benchmark evaluates multimodal models.

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