Qwen3-Coder 480B-A35B Instruct

Qwen3-Coder-480B-A35B-Instruct is a specialized causal language model built on a Mixture-of-Experts architecture, designed specifically to excel at agentic coding and complex software development tasks. By utilizing 160 total experts with 8 active experts per inference, the model achieves a balance between high-level reasoning and computational efficiency. It is engineered to support autonomous interactions within developer environments, featuring a custom function-calling format that allows it to interface effectively with platforms like CLINE and Qwen Code to manage multi-step workflows.

The model underwent extensive pre-training and post-training phases to refine its performance, resulting in capabilities that compete with leading proprietary models on foundational coding benchmarks such as SWE-bench-Verified. With native support for a 256,000-token context window that can be extended to 1 million tokens using Yarn, the model is optimized for deep repository-scale understanding. This combination of massive parameter scale and architectural optimization makes it a robust choice for developers seeking an open-source solution for building functional applications and navigating intricate, large-scale codebases.