Alibaba Group has announced the release of Qwen3-Coder, its most advanced open-source AI model for software development to date. The launch is part of the company’s broader strategy to strengthen its position in the global AI landscape.
Qwen3-Coder enters the scene amid intensifying competition among Chinese tech firms vying for leadership in AI innovation, with companies on both sides of the Pacific rolling out increasingly advanced models.
Qwen3-Coder is a refined version of Gemini Code. It enhanced with customized prompts and function-calling protocols to maximize its performance on agentic coding tasks. It is designed to integrate seamlessly with top-tier developer tools widely used by the open-source community.
“As a foundational model, we envision its use across the entire digital ecosystem—Agentic Coding in the World,” Alibaba stated. To overcome the challenges of scaling, the company engineered a system capable of running 20,000 independent environments in parallel on Alibaba Cloud.
This infrastructure allows Qwen3-Coder to deliver state-of-the-art performance on SWE-Bench Verified benchmarks without the need for additional test-time scaling.
According to Alibaba’s published performance data, Qwen3-Coder has outperformed domestic competitors. It topped against DeepSeek and Moonshot AI’s K2, in key coding capabilities. The model also demonstrated performance comparable to leading U.S. models, including Anthropic’s Claude and OpenAI’s GPT-4, in specific benchmarks.
“While much of the community focuses on competitive-level code generation, we believe all coding tasks are inherently suited to execution-driven, large-scale reinforcement learning,” the company explained.
To support this belief, Alibaba scaled up its Code RL training using a broader range of real-world coding scenarios. The team generated high-quality training data that fully leveraged reinforcement learning to enhance the model’s capabilities.
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