Qwen3-Coder

Qwen3-Coder is Alibaba Cloud's dedicated coding model, released on July 22, 2025. The flagship variant, Qwen3-Coder-480B-A35B-Instruct, is a mixture-of-experts model trained on 7.5 trillion tokens across 358 programming languages, with 70% of the training data being code. It supports 256K tokens of native context, extensible to 1M tokens with extrapolation, making it suited to repository-scale tasks and multi-file agentic workflows.

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Core Features

• 480B/35B MoE architecture: 480B total parameters with 35B active per token, using 160 experts with 8 activated per inference step.
• 256K native context: natively processes 256,000 tokens, with extrapolation support up to 1,000,000 tokens.
• 358 programming languages: trained on a broad code corpus covering mainstream and niche languages.
• Agent RL post-training: long-horizon reinforcement learning trains the model to solve real-world tasks through multi-turn tool interactions.
• Apache 2.0: weights are available for commercial use and fine-tuning.

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Benchmarks

SWE-Bench Verified scores are state-of-the-art among open models at release, comparable to Claude Sonnet 4.

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Tools and Resources

• Qwen3-Coder Blog Post: release announcement with benchmark details.
• GitHub (QwenLM/Qwen3-Coder): model code and usage examples.
• Hugging Face: model weights.
• Qwen Code: open-source terminal agent built on Qwen3-Coder.
• Together AI: hosted API access.

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Ecosystem and Integrations

• Paired with Qwen Code, an open-source terminal coding agent with GitHub Actions support.
• Accessible via the Alibaba Cloud DashScope API using an OpenAI-compatible endpoint.
• Available on Together AI, LM Studio, and Ollama for local and cloud inference.

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To use Qwen3-Coder via API, get an API key on the Qwen API Platform. For local agentic coding, see the Qwen Code terminal agent.