Alibaba

AQwen3 VL 32B InstructOPEN

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

Context window
131K
tokens
Input price
$0.1
per M tokens
Output price
$0.42
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 VL 32B Instruct, measured by Artificial Analysis. Higher is better.

Intelligence index11.1
Math index68.3
GPQA67.1%
MMLU-Pro79.1%
Humanity's Last Exam6.3%
Long Context Reasoning31.3%
LiveCodeBench51.4%
SciCode30.1%
AIME 202568.3%
IFBench39.2%
τ²-Bench29.2%
Terminal-Bench Hard8.3%
💰 Blended price$1.225 / 1M tokens
📈 Value9.1 intelligence points per $
Benchmark data by Artificial Analysis

About this model

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

Frequently asked questions

What is Qwen3 VL 32B Instruct?

Qwen3 VL 32B 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. It scores 11.1 on the Artificial Analysis intelligence index.

Is Qwen3 VL 32B Instruct free?

The weights are free and open — you can self-host Qwen3 VL 32B Instruct and pay nothing per token. If you prefer a hosted API, list prices are $0.1 per million input tokens and $0.42 per million output tokens.

What is Qwen3 VL 32B Instruct good at?

Independent benchmarks from Artificial Analysis give it GPQA 67.1%, MMLU-Pro 79.1%, Humanity's Last Exam 6.3%, Long Context Reasoning 31.3%, LiveCodeBench 51.4%, SciCode 30.1%, AIME 2025 68.3%, IFBench 39.2%, τ²-Bench 29.2%, Terminal-Bench Hard 8.3%. It is particularly used for mathematical reasoning.

Can I self-host Qwen3 VL 32B Instruct?

Yes. Qwen3 VL 32B 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.

Open-source alternatives

Depending on your workload, an open-weight model that you can self-host may cut costs dramatically or remove per-token pricing entirely. Our comparison pages put this model side by side with the strongest open-source contenders.

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