Qwen3-Coder 30B-A3B Instruct

Qwen3-Coder 30B-A3B Instruct is a causal language model built on a Mixture-of-Experts architecture, featuring 128 total experts with 8 active per forward pass. Designed specifically for complex programming tasks, the model utilizes 30.5 billion parameters to deliver efficient, high-performance results. It excels in agentic coding and browser-use scenarios, supported by a specialized function-call format that integrates seamlessly with development platforms. With a native context window of 256,000 tokens—extendable to 1 million tokens using Yarn—the model is engineered for deep repository-scale understanding and structured code completion.

The model underwent comprehensive pre-training and post-training stages to refine its instruction-following capabilities. It is optimized for direct, non-thinking output, ensuring that responses remain focused and ready for immediate implementation in automated pipelines. By leveraging its expert-based design, the model maintains a balance between computational efficiency and task accuracy. Its architecture is particularly well-suited for developers requiring robust support for agentic workflows and long-context analysis, providing a reliable foundation for modern software engineering and technical automation tasks.