Qwen3-Coder

Qwen3-Coder is the code-focused branch of the Qwen3 family, a set of large language models built by the Qwen team. A large language model is the kind of AI that powers chat assistants and code helpers; the "coder" variant is one that has been further trained to be especially good at reading and writing programming code and at acting as the brain behind agentic coding tools — software that can take a task description and then plan, edit files and run commands on its own.

According to the README the project ships several model sizes, including Qwen3-Coder-480B-A35B-Instruct, Qwen3-Coder-30B-A3B-Instruct, and a smaller Qwen3-Coder-Next built on Qwen3-Next-80B-A3B-Base. Qwen3-Coder-Next is open-weight, meaning the trained model parameters can be downloaded and run by anyone rather than being available only through a paid API. The README describes a hybrid architecture combining attention and a mixture-of-experts setup, training that emphasises agentic tasks (synthesised executable tasks, environment interaction, and reinforcement learning) and a function-call format aimed at coding agents. The models support a native context window of 256K tokens, extendable to 1M, and the README lists 358 programming languages handled by the model.

People would use Qwen3-Coder to power code assistants, autonomous coding agents, and tooling for repository-scale understanding where a very long context helps. The repo links to companion tools and integrations such as Qwen Code, CLINE and Claude Code, plus a WebDev demo space. The repository's primary language is Python, the model weights are hosted on Hugging Face and ModelScope, and the full README is longer than what was provided here.