Qwen3 Coder 480B A35B Instruct

Name: Qwen3 Coder 480B A35B Instruct
Author: Qwen (Alibaba)

by Qwen (Alibaba)Qwen 3

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released July 2025262K context≈ 196,608 words480B params

A specialist that lives and breathes code — Qwen3 Coder 480B brings a massive parameter count with sparse MoE activation, meaning it draws on deep capacity while keeping compute focused. It handles complex multi-file reasoning, tool use, and agentic coding workflows with notable coherence across long contexts. The trade-off is raw size: running it locally demands serious infrastructure.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Reasoning & Logic

Moderate

Tool Use

Qwen3 Coder 480B A35B Instruct

by Qwen (Alibaba)Qwen 3

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released July 2025262K context≈ 196,608 words480B params

A specialist that lives and breathes code — Qwen3 Coder 480B brings a massive parameter count with sparse MoE activation, meaning it draws on deep capacity while keeping compute focused. It handles complex multi-file reasoning, tool use, and agentic coding workflows with notable coherence across long contexts. The trade-off is raw size: running it locally demands serious infrastructure.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Reasoning & Logic

Moderate

Tool Use

Glossary

AgenticA model designed to act autonomously by making decisions, selecting actions, and using tools to accomplish multi-step tasks.Agentic CodingAn approach where an AI model autonomously plans and executes multi-step coding tasks, making decisions about which files to modify and how to structure solutions.CoherenceThe quality of maintaining consistent meaning and logical flow across multiple sentences or exchanges in a conversation.Parameter CountThe total number of adjustable weights in a model; more parameters generally mean more capacity to learn, but also require more computing power.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.Sparse MoEA mixture-of-experts design where only a small fraction of the model's parameters are used for each prediction, reducing computational cost while maintaining model capacity.Tool UseThe ability of a model to call external functions or APIs to perform tasks like calculations, searches, or data retrieval.

Capabilities

Capabilities

Use Case Fit

Glossary