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Qwen3 32BOPEN
Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue.
Prices update automatically — checked daily against provider list prices.
- $0.13 per 1M tokens, assuming 3 input for 1 output the convention used by Artificial Analysis
- cheaper than 71% of the 191 open-weight models tracked here
- 7 of 51 Alibaba models tracked here, from cheapest
Benchmarks & performance
Independent benchmark scores for Qwen3 32B, measured by Artificial Analysis. Higher is better. Measurement mode: Reasoning.
For the same budget, Qwen3 32B delivers 6.5 times more capability. Open weights also mean you can self-host it and pay nothing per token.
Models at this level cost $0.37 per 1M tokens (median of 18) — this one costs $0.13.
Cheaper and better on this index: GLM 5.3 Flash · DeepSeek V4 Flash 0731 · DeepSeek V4 Flash 0423 and 9 more
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 daily, 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 11.4 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 7.4%, 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.