Qwen3 Coder 480B A35B Instruct

Qwen3-Coder-480B-A35B-Instruct is a causal language model built on a Mixture-of-Experts architecture, featuring 160 total experts with 8 activated during each inference step. Designed specifically for agentic coding, this model utilizes 480 billion total parameters to provide high-level reasoning and autonomous task management. Its architecture, which includes 62 layers and specialized attention heads, is optimized to handle complex software development workflows, allowing it to perform at levels comparable to proprietary alternatives in benchmarks like SWE-bench-Verified and WebArena.

The model was developed through extensive pre-training on 7.5 trillion tokens, with a significant 70% focus on code to ensure deep technical proficiency. It supports a native 256,000-token context window, which can be extended to 1 million tokens using Yarn, making it well-suited for understanding entire code repositories. By integrating with specialized protocols like the Qwen Code CLI, the model excels at interactive multi-turn reasoning and autonomous tool usage, providing a scalable solution for developers who require a robust, agent-ready assistant for complex, real-world programming tasks.