Qwen3.6 news
The latest Qwen3.6 news, : OpenMobile-2 open-source smartphone agents score 59.6 on SPA-Bench.
Qwen3.6 is an AI model used as the foundation for the 27B-parameter Pistis multimodal large language model. Recent coverage details the release of the Pistis model family on arXiv, which features two multimodal models built on Qwen3.6 and Qwen3.5. The 27B-parameter variant specifically utilizes the Qwen3.6 architecture.
3 stories mentioning Qwen3.6 since 25 September 2026, newest first, each with its sources and discussion. Follow to see new ones on your front page.
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OpenMobile-2 open-source smartphone agents score 59.6 on SPA-Bench
Researchers from Nanjing University, SenseTime, and other universities released OpenMobile-2, an open-source project that trains AI smartphone agents in a simulated environment with over 110 apps. The larger model,…
1 sourceThe Decoder -
Coding agent harnesses triple token costs without boosting benchmark scores, study finds
Complex harnesses for coding agents inflate token bills by up to three times while barely improving benchmark performance over minimal setups, according to a study by researchers Liu and Han at Shandong University. The…
1 sourceThe Decoder -
Pistis introduces 27B- and 9B-parameter multimodal models via new training framework
Researchers released the Pistis model family on arXiv, featuring two multimodal large language models built on Qwen3.6 and Qwen3.5. The 27B-parameter model uses Qwen3.6, while the 9B-parameter model is based on…
1 source primary sourcearXiv cs.AI
Questions about Qwen3.6
What is the latest Qwen3.6 news?
As of 25 October 2026: OpenMobile-2 open-source smartphone agents score 59.6 on SPA-Bench. Researchers from Nanjing University, SenseTime, and other universities released OpenMobile-2, an open-source project that trains AI smartphone agents in a simulated environment with over 110 apps.
What is Qwen3.6?
Qwen3.6 is an AI model used as the foundation for the 27B-parameter Pistis multimodal large language model. Recent coverage details the release of the Pistis model family on arXiv, which features two multimodal models built on Qwen3.6 and Qwen3.5. The 27B-parameter variant specifically utilizes the Qwen3.6 architecture.