alibaba

Qwen3.7-Max debuts at Alibaba's Cloud Summit in Hangzhou as the company's most capable agent model, sustaining continuous autonomous execution for 35 hours in internal testing.

Alibaba's new flagship tops SWE-bench Pro, Terminal-Bench 2.0 and four other coding leaderboards, but ships as a proprietary hosted model rather than an open-weight release.

Alibaba's Damo Academy has announced the XuanTie C950, a 5nm RISC-V CPU core capable of natively running hundred-billion-parameter language models, marking RISC-V's first serious entry into high-end AI computing.

Alibaba releases four open-source Qwen 3.5 Small models ranging from 0.8 to 9 billion parameters, delivering multimodal reasoning on consumer hardware while the 9B variant outperforms models up to 13 times its size on key benchmarks.

Alibaba releases Qwen3.5, a 397-billion-parameter open-weight model that activates only 17B parameters per pass, beats rivals on instruction-following benchmarks, and ships at 1/18th the cost of Gemini 3 Pro.