MME
A comprehensive evaluation benchmark for Multimodal Large Language Models measuring both perception and cognition abilities across 14 subtasks. Features manually designed instruction-answer pairs to avoid data leakage and provides systematic quantitative assessment of MLLM capabilities.
DeepSeek VL2 from DeepSeek currently leads the MME leaderboard with a score of 0.225 across 3 evaluated AI models.
DeepSeek VL2 leads with 22.5%, followed by DeepSeek VL2 Small at 21.2% and DeepSeek VL2 Tiny at 19.1%.
Progress Over Time
Interactive timeline showing model performance evolution on MME
MME Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | DeepSeek | 27B | — | — | ||
| 2 | DeepSeek | 16B | — | — | ||
| 3 | DeepSeek | 3B | — | — |
FAQ
Common questions about MME.
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