MMBench
A bilingual benchmark for assessing multi-modal capabilities of vision-language models through multiple-choice questions in both English and Chinese, providing systematic evaluation across diverse vision-language tasks with robust metrics.
Step3-VL-10B from StepFun currently leads the MMBench leaderboard with a score of 0.918 across 8 evaluated AI models.
Step3-VL-10B leads with 91.8%, followed by 
Qwen2.5 VL 72B Instruct at 88.0% and 
Phi-4-multimodal-instruct at 86.7%.
Progress Over Time
Interactive timeline showing model performance evolution on MMBench
MMBench Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | StepFun | 10B | — | — | ||
| 2 |  Alibaba Cloud / Qwen Team | 72B | — | — | ||
| 3 | Microsoft | 6B | 128K | $0.05 / $0.10 | ||
| 4 | Alibaba Cloud / Qwen Team | 8B | — | — | ||
| 5 | Microsoft | 4B | — | — | ||
| 6 |  DeepSeek | 16B | — | — | ||
| 7 | DeepSeek | 27B | — | — | ||
| 8 | DeepSeek | 3B | — | — |
FAQ
Common questions about MMBench.
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