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Researchers from Nanjing University, SenseTime and other institutions have released an open-source mobile phone agent model, OpenMobile-2, comprising two agent models: a 9-billion-parameter model based on Qwen3.5 and a 27-billion-parameter model based on Qwen3.6, along with the complete training environment, data and reproduction instructions. The team rebuilt 35 applications including Taobao, JD.com, Didi, Meituan, Slack and Google Drive, with the practice environment covering more than 110 applications, generating about 11,600 example workflows and more than 2,000 practice tasks. The larger model rose from 67.1 to 79.9 on AndroidWorld and from 31.9 to 59.6 on SPA-Bench on real Android devices, which the researchers say is the best result among open-source models. There are currently no further developments.
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OpenMobile-2 open-source mobile agent matches closed-source models on real-device benchmarksDevelopments
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Research team releases open-source mobile phone agent model OpenMobile-2
Source:The Decoder
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Oct 25
The Decoder
OpenMobile-2 open-source mobile agent matches closed-source models on real-device benchmarks
Researchers from Nanjing University, SenseTime, and other institutions have released OpenMobile-2, consisting of two agent models—a 9B model based on Qwen3.5 and a 27B model based on Qwen3.6—and have publicly released the training environment, data, and reproduction instructions. The team recreated 35 applications including Taobao, JD.com, DiDi, Meituan, Slack, and Google Drive; the practice environment covers more than 110 applications and generated about 11,600 example workflows and more than 2,000 practice tasks. The larger model rose from 67.1 to 79.9 points on AndroidWorld and from 31.9 to 59.6 points on SPA-Bench on real Android devices; the researchers say this is the best result among open-source models.