Qwen/Qwen3-Coder-480B-A35B-Instruct

Built on a sparse Mixture-of-Experts architecture, this model utilizes 480 billion total parameters with 35 billion active parameters per forward pass to deliver high-performance coding capabilities. It is designed specifically for agentic workflows, enabling it to handle complex refactoring and foundational software engineering tasks with results comparable to industry-leading models. The architecture features 160 experts and 62 layers, supported by a native context window of 262,144 tokens that can be extended up to the listed price million tokens using Yarn, making it particularly effective for deep repository-scale understanding.

The model underwent comprehensive pretraining and post-training stages to refine its performance for specialized coding and agentic browser-use tasks. It incorporates a specially designed function call format that integrates seamlessly with platforms like Cline and Qwen Code, facilitating automated development workflows. By focusing on agentic precision rather than thinking-mode outputs, the model provides a streamlined experience for developers who require reliable, high-scale code generation and system interaction, positioning it as a robust tool for modern, automated software development environments.