Android Control High_EM
Android device control benchmark using high exact match evaluation metric for assessing agent performance on mobile interface tasks
Qwen2.5 VL 32B Instruct from Alibaba Cloud / Qwen Team currently leads the Android Control High_EM leaderboard with a score of 0.696 across 3 evaluated AI models.
What Android Control High_EM measures
Android Control High_EM is a multimodal benchmark that evaluates large language models on multimodal and reasoning tasks. LLM Stats tracks 3 models on this benchmark, with a maximum possible score of 1. Current average across reported models is 0.7, with the leader reaching 0.7.
Compare leaders on the best AI for multimodal and best AI for reasoning leaderboards.
Qwen2.5 VL 32B Instruct leads with 69.6%, followed by Qwen2.5 VL 72B Instruct at 67.4% and Qwen2.5 VL 7B Instruct at 60.1%.
Progress Over Time
Interactive timeline showing model performance evolution on Android Control High_EM
Android Control High_EM Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  Alibaba Cloud / Qwen Team | 34B | — | — | ||
| 2 | Alibaba Cloud / Qwen Team | 72B | — | — | ||
| 3 | Alibaba Cloud / Qwen Team | 8B | — | — |
FAQ
Common questions about Android Control High_EM.
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