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Model details

Qwen3-Coder 480B-A35B Instruct

Qwen3-Coder 480B-A35B Instruct is the flagship variant of Qwen's open Qwen3-Coder family, designed around agentic software engineering rather than general chat. It is built as a mixture-of-experts causal language model with roughly 480 billion total parameters and about 35 billion activated per forward pass, a configuration that aims to deliver frontier-scale reasoning capacity while keeping inference cost closer to a much smaller dense model. The model is positioned by Qwen as their most agentic code release to date, emphasizing strong performance on agentic coding and agentic browser-use benchmarks where the open-source results are reported as comparable to Claude Sonnet.

A defining practical feature is its long-context design: the model natively supports 256K tokens and can be extended up to roughly one million tokens with YaRN-style extrapolation, making it well suited to repository-scale understanding where whole codebases, documentation, and tool histories must be reasoned over together. It ships with a specialized function-calling format tailored for agentic coding clients such as Qwen Code and Cline, allowing it to drive multi-step tool use, file edits, and browser interactions rather than only producing inline completions. The Apache-2.0 licensed open weights, paired with this agent-oriented tooling, make it a flexible foundation for teams building autonomous coding assistants, repository-aware chatbots, and developer workflows that demand both depth and transparency.

AbacusQwen/qwen3-coder-480b-a35b-instructqwen

Quick Info

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Provider
Abacus
Model key
Qwen/qwen3-coder-480b-a35b-instruct
Release date
Apr 1, 2025
Last updated
Apr 1, 2025
Knowledge cutoff
2025-04
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.29
Output token cost
$1.20

Limits

Output tokens
16,384 tokens
Context window
262,144 tokens

Transparent token rates

Compare Qwen3-Coder 480B-A35B Instruct pricing

Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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