Qwen3-Coder

Qwen3-Coder is an open-source Mixture-of-Experts language model built by Alibaba for autonomous coding tasks. It’s trained on 7.5 trillion tokens, mostly code, and activates 35B parameters per task from a 480B total parameter pool. It’s designed for agent-based workflows like pull request bots, debuggers, and file refactorers.

You can use Qwen3-Coder directly in your browser at chat.qwen.ai or run it locally via its CLI tool, Qwen Code. The CLI allows natural language goals to trigger multi-step tasks like reading, categorizing, and sorting files autonomously. It’s available via NPM and requires Node.js.

Qwen3-Coder is compatible with OpenRouter and Alibaba Cloud APIs and is generally 5–7x cheaper than GPT-4 or Claude. The model is Apache 2.0 licensed and optimized for code reasoning, agentic operations, and large codebase understanding.