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Qwen-UI-Agent: Alibaba trained a GUI agent on 100+ real phones, and it beats Claude Opus 4.8

Alibaba’s Qwen team released Qwen-UI-Agent on August 20: an open-source foundation model for GUI agents. One model drives four surfaces — mobile, desktop, browser, and DeepSearch — instead of a separate agent per platform.

Trained on real phones, not simulators

Most GUI agents train in emulators and choke on real devices. Alibaba ran a live farm of 100+ physical smartphones across 150+ apps, then built MobileWorld-Real (400+ tasks, 100+ apps) to score agents on actual hardware. Results: 82.1% on MobileWorld, 92.2% on MobileWorld-Real, 79.5% on OSWorld-Verified, 81.5% on ScreenSpot-Pro — ahead of Claude Opus 4.8, Gemini 3.1 Pro, and GPT-5.6 Sol on multiple boards. The action space mixes GUI clicks with CLI commands and batches several actions per decision, so it moves faster than click-by-click agents.

Open weights you can actually run

Code, weights, and the technical report are on GitHub (Tongyi-MAI/MAI-UI), with sizes down to 2B for on-device use. Deploy locally or plug into the Qwen API ecosystem for phone automation, desktop RPA, and web tasks. Frontier labs sell computer use behind an API. Alibaba just open-sourced a version that outscores them.


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