Alibaba's open-weight coding model, released in 2025. 480B total parameters, 35B active (MoE). Native 256K context, extends to 1M. Apache 2.0 license. Built for agentic coding.
Qwen3-Coder is Alibaba's open-source code model family, with Qwen3-Coder-480B-A35B-Instruct as its largest variant. The 480 billion parameter mixture-of-experts architecture activates just 35 billion parameters per token, balancing frontier-class capability with practical inference costs. It natively supports a 256K context window and extrapolates to 1M tokens, making it one of the strongest open options for large codebase reasoning. Released under the Apache 2.0 license, the model posts competitive results against closed-source SOTA on agentic coding, browser interaction, and tool use benchmarks. Weights are on Hugging Face, inference is supported on Together AI, DashScope, and most major gateways. For teams that need a self-hostable, commercially usable coding model without vendor lock-in, it remains a solid option, though Alibaba has since shipped newer Qwen releases such as Qwen 3.8 Max in August 2026.
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npm i -g @qwen-code/qwen-codeSources: QwenLM/Qwen3-Coder README, Qwen3-Coder launch blog, Qwen3-Coder-480B-A35B-Instruct model card, Qwen3-Coder-480B-A35B-Instruct LICENSE
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Meta's open-weight model family. Llama 4, released April 5, 2025, comes in Scout (109B total, 17B active) and Maverick (400B total, 17B active). Commercial use under the Llama license.
Alibaba's open-weight coding model, released in 2025. 480B total parameters, 35B active (MoE). Native 256K context, extends to 1M. Apache 2.0 license. Built for agentic coding.
Try Qwen3-CoderHonest takes on AI dev tools, frameworks, and infrastructure - delivered to your inbox.
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