openmobile-2 开源智能手机代理媲美专有模型
openmobile-2 项目训练的 ai 智能手机代理在 110 个模拟应用环境中达到 59.6 分，超越其他开源模型。这表明应用多样性比数据量更重要。
researchers from nanjing university, sensetime, and other institutions developed openmobile-2 to train ai smartphone agents in a simulated environment with over 110 apps. they released two models, built on qwen3.5 with 9 billion parameters and qwen3.6 with 27 billion parameters, along with the training environment and data. the larger model achieved 59.6 points on spa-bench with real android devices, the highest score among open models. the project shows that increasing app diversity during training improves performance more than sheer data volume. the researchers rebuilt 35 popular apps, including taobao and slack, to create a practice ground for the agents.