Alibaba launches new Qwen LLMs in China’s latest open-source AI breakthrough

preCharge News BUSINESS — Alibaba released the next generation of its open-sourced large language models, Qwen3, on Tuesday — and experts are calling it yet another breakthrough in China’s booming open-source artificial intelligence space.

In a blog post, the Chinese tech giant said Qwen3 promises improvements in reasoning, instruction following, tool usage and multilingual tasks, rivaling other top-tier models such as DeepSeek’s R1 in several industry benchmarks.

The LLM series includes eight variations that span a range of architectures and sizes, offering developers flexibility when using Qwen to build AI applications for edge devices like mobile phones.

Qwen3 is also Alibaba’s debut into so-called “hybrid reasoning models,” which it says combines traditional LLM capabilities with “advanced, dynamic reasoning.”

According to Alibaba, such models can seamlessly transition between a “thinking mode” for complex tasks such as coding and a “non-thinking mode” for faster, general-purpose responses.

“Notably, the Qwen3-235B-A22B MoE model significantly lowers deployment costs compared to other state-of-the-art models, reinforcing Alibaba’s commitment to accessible, high-performance AI,” Alibaba said.

The new models are already freely available for individual users on platforms like Hugging Face and GitHub, as well as Alibaba Cloud’s web interface. Qwen3 is also being used to power Alibaba’s AI assistant, Quark.

China’s AI advancement

AI analysts told preCharge New that the Qwen3 represents a serious challenge to Alibaba’s counterparts in China, as well as industry leaders in the U.S.

In a statement to preCharge News, Wei Sun, principal analyst of artificial intelligence at Counterpoint Research, said the Qwen3 series is a “significant breakthrough—not just for its best-in-class performance” but also for several features that point to the “application potential of the models.”

Those features include Qwen3′s hybrid thinking mode, its multilingual support covering 119 languages and dialects and its open-source availability, Sun added.