Qwen3-Coder: Agentic Coding in the World

Qwen3-Coder is a cutting-edge open-source AI coding model developed by Alibaba’s Qwen team, designed specifically for advanced programming tasks such as code generation, debugging, and managing complex software workflows. Its standout variant, Qwen3-Coder-480B-A35B-Instruct, features a massive Mixture-of-Experts (MoE) architecture with 480 billion parameters, though only 35 billion are active during inference, allowing efficient use of computational resources.

Here is the key features of Qwen3-Coder :

• Agentic Coding Capabilities: It excels at autonomous multi-step programming tasks, including generating, testing, debugging code, and integrating with external tools and browsers, making it highly interactive and capable of handling complex developer workflows.
• Ultra-Long Context Window: Natively supports up to 256,000 tokens, with the ability to extend to 1 million tokens, which facilitates handling large codebases, multi-file projects, and long contextual interactions in one pass.
• High Training Volume and Code Focus: Trained on 7.5 trillion tokens, with 70% from code data, ensuring strong code understanding and generation capabilities.
• Reinforcement Learning and Post-Training: Enhanced with long-horizon reinforcement learning, enabling it to learn from multi-step interactions and improve task execution success, especially in real-world settings.
• Multi-Language Support: Optimized for more than 40 programming languages, including Python, Java, JavaScript, C++, Rust, Go, and many others, tailored to conform with best coding practices for each.
• Open-Source Tools and Ecosystem: Alongside the model, Alibaba released Qwen Code, a command-line interface tool optimized to leverage the model’s agentic features by allowing natural language interaction for programming tasks.
• Competitive Performance: Qwen3-Coder achieves state-of-the-art results on major coding benchmarks and performs comparably to leading proprietary models like Claude Sonnet 4.

Qwen3-Coder is a powerful, scalable, and versatile AI coding assistant that supports complex, multi-turn development workflows by understanding, generating, and debugging code effectively across many languages and environments. It is publicly available as open source, fostering community collaboration and practical adoption.