Qwen3.6

Headlines · 2

1. 7d
   OpenMobile-2 releases open smartphone-agent models and training environment for more than 110 apps

   Researchers from Nanjing University, SenseTime, and other universities released OpenMobile-2, including 9B and 27B models built on Qwen3.5 and Qwen3.6, together with the training environment, data, and reproduction instructions. The environment covers more than 110 simulated applications. The researchers reported that, with the same amount of training data, increasing app diversity raised success on unseen applications from 60.7% to 67.5%. They also reported that the 27B model scored 59.6 on SPA-Bench, the highest result among open models. These findings come from one secondary report and remain researcher-reported results.

   The Decoder · 🔥 0
2. Oct 24
   Coding-Agent Harness Changes Raise Costs Without Reliable Gains

   Shandong University researchers Liu and Han compared Claude Code, OpenCode, and mini-SWE-agent while holding the language model constant. Most performance differences were similar to rerun noise, while the harnesses consumed two to three times as many tokens as the leanest option; OpenCode showed a significant deficit on the larger task pool. A small cross-check on Terminal-Bench 2.1 showed the same pattern.

   The Decoder · 🔥 0

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