Alibaba’s Qwen3-Coder Shows Why China’s Open Models Can’t Be Ignored Anymore

The company drops one of the most affordable AI models for translation.
Chinese e-commerce giant Alibaba’s latest release, Qwen3-Coder, strengthens the case that open-source models are now capable of matching proprietary AI systems, at least when it comes to software engineering tasks.  Featuring a 480B-parameter Mixture-of-Experts design and support for extended context windows, the model aims to tackle long-horizon agentic tasks that require planning, tool use and iterative feedback. Alibaba has also released an open agentic CLI tool, Qwen Code, to showcase how the model performs in practice. The model also leads open-source performance on tasks like agentic tool use and browser automation, hinting at broader ambitions beyond pure code generation. The Benchmarks Show a Closing Gap Across coding, tool use and browser automation, Qwen3-Coder
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Picture of Ankush Das
Ankush Das
I am a tech aficionado and a computer science graduate with a keen interest in AI, Coding, Open Source, Global SaaS, and Cloud. Have a tip? Reach out to ankush.das@aimmediahouse.com
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