Alibaba

AQwen3 32BOPEN

Qwen3 32B (Alibaba): live API pricing, context window and the best open-source alternatives, tracked daily by olud.ai.

Context window
131K
tokens
Input price
$0.08
per M tokens
Output price
$0.28
per M tokens
Provider
Alibaba

Prices update automatically — checked hourly against provider list prices.

See model comparisons → Compare all model prices

Benchmarks & performance

Independent benchmark scores for Qwen3 32B, measured by Artificial Analysis. Higher is better. Measurement mode: Reasoning.

Intelligence index11.5
Coding index15.3
Math index73
GPQA66.8%
MMLU-Pro79.8%
Humanity's Last Exam8.3%
Long Context Reasoning0%
LiveCodeBench54.6%
SciCode35.4%
MATH-50096.1%
AIME80.7%
AIME 202573%
IFBench36.3%
τ²-Bench29.8%
τ-Bench Banking5.4%
Terminal-Bench5.2%
Terminal-Bench Hard3%
💰 Blended price$2.625 / 1M tokens
📈 Value4.4 intelligence points per $
Benchmark data by Artificial Analysis

About this model

Qwen3 32B 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 hourly, for when you prefer convenience over self-hosting.

Frequently asked questions

What is Qwen3 32B?

Qwen3 32B is an AI language model from Alibaba. It is open-weight: you can download it and run it on your own hardware, for free. It scores 11.5 on the Artificial Analysis intelligence index.

Is Qwen3 32B free?

The weights are free and open — you can self-host Qwen3 32B and pay nothing per token. If you prefer a hosted API, list prices are $0.08 per million input tokens and $0.28 per million output tokens.

What is Qwen3 32B good at?

Independent benchmarks from Artificial Analysis give it GPQA 66.8%, MMLU-Pro 79.8%, Humanity's Last Exam 8.3%, Long Context Reasoning 0%, LiveCodeBench 54.6%, SciCode 35.4%, MATH-500 96.1%, AIME 80.7%, AIME 2025 73%, IFBench 36.3%, τ²-Bench 29.8%, τ-Bench Banking 5.4%, Terminal-Bench 5.2%, Terminal-Bench Hard 3%. It is particularly used for code generation.

Can I self-host Qwen3 32B?

Yes. Qwen3 32B 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.

Related models

Qwen3.6 PlusAlibabaQwen3.7 PlusAlibabaQwen3.7 MaxAlibabaQwen3.5-FlashAlibabaQwen3.6 35B A3BAlibabaQwen3 235B A22B Instruct 2507Alibaba