Qwen3 Coder 480B A35B Instruct

Qwen3 Coder 480B A35B Instruct is a causal language model built on a Mixture-of-Experts architecture, designed specifically to function as an autonomous coding agent. With 480 billion total parameters and 35 billion active parameters across 160 experts, the model balances high-level reasoning with computational efficiency. It features 62 layers and a specialized attention mechanism, allowing it to handle complex workflows that go beyond simple code generation. The model is engineered for repository-scale tasks, offering native support for 256,000 tokens of context, which can be extended up to 1 million tokens using Yarn, making it highly effective for managing large-scale software projects.

Developed through comprehensive pre-training and post-training stages, the model is optimized for agentic coding, browser-use, and tool-use scenarios. It utilizes a specially designed function call format that allows it to integrate seamlessly with developer tools and environments, including the Qwen Code command-line interface. By achieving performance levels comparable to proprietary models on rigorous benchmarks like SWE-bench-Verified and WebArena, it provides a robust foundation for developers seeking to automate multi-turn reasoning and complex software engineering workflows. Its design focuses on delivering state-of-the-art results in autonomous assistance while maintaining the flexibility required for modern, interactive development.