MME-RealWorld
A comprehensive evaluation benchmark for Multimodal Large Language Models featuring over 13,366 high-resolution images and 29,429 question-answer pairs across 43 subtasks and 5 real-world scenarios. The largest manually annotated multimodal benchmark to date, designed to test MLLMs on challenging high-resolution real-world scenarios.
Qwen2.5-Omni-7B from Alibaba Cloud / Qwen Team currently leads the MME-RealWorld leaderboard with a score of 0.616 across 1 evaluated AI models.
Qwen2.5-Omni-7B leads with 61.6%.
Progress Over Time
Interactive timeline showing model performance evolution on MME-RealWorld
MME-RealWorld Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  Alibaba Cloud / Qwen Team | 7B | — | — |
FAQ
Common questions about MME-RealWorld.
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