qwen

Qwen-Image-2.1 unifies text-to-image generation and editing with native RGBA transparency, tops open-weight rivals on Qwen's own benchmark, but trails closed leaders.

Thomson Reuters spent $40 million building an in-house legal AI model on a reworked Alibaba Qwen base, aiming to reduce dependence on Anthropic and other outside AI labs.

Alibaba's Qwen team shipped Qwen3.8-27B as Apache 2.0 open weights, the on-premise checkpoint promised alongside Qwen3.8-Max, with coding benchmarks that top Claude Opus 4.6 Max on two of four tests.

Alibaba made its new flagship Qwen3.8-Max, a 2.4 trillion-parameter multimodal model, broadly accessible ahead of an open-weights release, sending its Hong Kong-listed shares up 7 percent.

China's internet regulator cleared Apple Intelligence for domestic deployment, with Alibaba's Qwen model powering most features and Baidu in a smaller role, ending a two-year delay.

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 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.