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AQwen3 Coder 30B A3B InstructOPEN

Qwen3-Coder-30B-A3B-Instruct is a 30.5B parameter Mixture-of-Experts (MoE) model with 128 experts (8 active per forward pass), designed for advanced code generation, repository-scale understanding, and agentic tool use.

262KContext window · tokens
$0.07Input price · per M tokens
$0.28Output price · per M tokens
AlibabaProvider

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Benchmarks & performance

Independent benchmark scores for Qwen3 Coder 30B A3B Instruct, measured by Artificial Analysis. Higher is better.

Math index29
GPQA51.6%
MMLU-Pro70.6%
Humanity's Last Exam3.8%
Long Context Reasoning32.7%
LiveCodeBench40.3%
MATH-50089.3%
AIME29.7%
AIME 202529%
IFBench32.7%
τ²-Bench34.5%
Terminal-Bench Hard15.2%
💰 Blended price$0.334 / 1M tokens
Benchmark data by Artificial Analysis

About this model

Qwen3 Coder 30B A3B Instruct is an open-weight AI model by Alibaba. You can download and self-host it for free; the prices below are hosted-API list prices, tracked daily, for when you prefer convenience over self-hosting.

Frequently asked questions

What is Qwen3 Coder 30B A3B Instruct?

Qwen3 Coder 30B A3B Instruct is an AI language model from Alibaba. It is open-weight: you can download it and run it on your own hardware, for free.

Is Qwen3 Coder 30B A3B Instruct free?

The weights are free and open — you can self-host Qwen3 Coder 30B A3B Instruct and pay nothing per token. If you prefer a hosted API, list prices are $0.07 per million input tokens and $0.28 per million output tokens.

What is Qwen3 Coder 30B A3B Instruct good at?

Independent benchmarks from Artificial Analysis give it GPQA 51.6%, MMLU-Pro 70.6%, Humanity's Last Exam 3.8%, Long Context Reasoning 32.7%, LiveCodeBench 40.3%, MATH-500 89.3%, AIME 29.7%, AIME 2025 29%, IFBench 32.7%, τ²-Bench 34.5%, Terminal-Bench Hard 15.2%. It is particularly used for mathematical reasoning.

Can I self-host Qwen3 Coder 30B A3B Instruct?

Yes. Qwen3 Coder 30B A3B Instruct has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.

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