Alibaba unleashes Qwen3 coding model for developers to push AI agent adoption
In a blog entry on developer platform GitHub, the Qwen team of
Alibaba Cloud – the AI and cloud computing arm of Alibaba, owner of the Post – showed that Qwen3-Coder had set new state-of-the-art results among open-source models across multiple agentic tasks, outperforming
Kimi K2 Instruct from
Moonshot AI and
DeepSeek 's
V3-0324
On SWE-Bench, a benchmark for evaluating large language models on real-world software engineering tasks, Qwen3-Coder showed stronger capabilities than those of the two Chinese AI
start-ups ' models.
The same benchmark tests also showed that Qwen3-Coder was rated either on par or just behind in certain areas when compared with the performance of prominent proprietary AI models Claude Sonnet-4 from
Anthropic and
OpenAI 's GPT-4.1.
'Agentic AI coding is transforming software development by enabling more autonomous, efficient and accessible programming workflows,' Alibaba said in a statement on Wednesday. 'With its open-source availability, strong agentic coding capabilities, and seamless compatibility with popular developer tools and interfaces, Qwen3-Coder is positioned as a valuable tool for global developers in software development.'
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