Qwen3 Coder 480B A35B

Technical Specifications

Qwen3 Coder 480B A35B

Qwen3 Coder 480B A35B is Alibaba's advanced agentic artificial intelligence model, specifically engineered for high-performance software development and autonomous coding workflows. As a specialized variant of the Qwen 3 family, it is designed to manage complex multi-turn programming tasks, including comprehensive repository analysis, cross-file reasoning, and automated pull request generation. The model serves as the primary engine for autonomous software engineering, enabling deep integration with developer tools and terminal-based agents like Qwen Code.

Architecturally, the model utilizes a sparse Mixture-of-Experts (MoE) decoder-only transformer framework. It comprises a total of 480 billion parameters, while maintaining computational efficiency by activating only 35 billion parameters per inference query. This configuration employs 160 total experts, with 8 active experts selected via a gating mechanism for each token. The underlying structure features 62 transformer layers and incorporates Grouped Query Attention (GQA) with 96 query heads and 8 key-value heads to optimize memory bandwidth and inference speed. It utilizes Rotary Position Embeddings (RoPE) and is optimized for long-horizon context through techniques such as YaRN, supporting a native context window of 262,144 tokens that can be extended up to one million.

The model is trained on a massive dataset of 7.5 trillion tokens, with a 70% concentration on source code and technical content across multiple programming languages including Python, JavaScript, C++, and Rust. Its post-training phase leverages long-horizon reinforcement learning, specifically Agent RL and Code RL, to improve multi-step planning and interaction with external tools such as browsers and CLI environments. This specialization allows the model to function as a sophisticated coding agent capable of executing complex engineering tasks and managing entire codebases with high precision.

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