Math and reasoningText

QwQ

Qwen's first open reasoning model: it thinks step by step before answering and comes close to DeepSeek-R1 on maths tasks with only 32B parameters.

Developer
Qwen (Alibaba), China
First release
Nov 2024
Latest release
Mar 2025
Sizes
32B
License
Commercial use allowedApache 2.0
Russian
Not supported
Ready-made builds
GGUF, AWQ, MLX (Apple)
Running
Available in OllamaNeeds a GPU
Industries
Science and research, Finance, Legal, Education
Deploy on your server Hugging Face GitHub

What it does

  • Calculations and formula checks
  • Complex analytics with step-by-step breakdowns
  • Checking the logic of contracts and internal policies
  • Training and working through problems

Where it is used

Finance and analyticsLegal departmentsEngineering companiesEducation

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
no versions
1 GPUOne GPU with 16–80 GB — mid-size versions
fits
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. QwQ-32B
  2. QwQ-32B-Preview

How to run it

With Ollama — the fastest wayInstall Ollama on your computer or server and find the model in its library by name. Good enough to try the model on your own tasks in one evening.Find it in the Ollama library
On your own serverWeights are downloaded from Hugging Face and served with vLLM (load and API) or llama.cpp (modest hardware). The model then runs in a closed network with no per-request fees.Hugging Face
How much hardware you needCalculate the VRAM for the model size, context length and number of concurrent requests.Open the hardware calculator

I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems. Quantization compresses a model so it takes less video memory and runs on more modest hardware. Answers change slightly, so quality is checked on your own examples.

Frequently asked questions

Can QwQ be used in a commercial project?

Yes. License: Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does QwQ need?

At minimum: One GPU with 16–80 GB — mid-size versions. Without a GPU the model is not practical. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does QwQ support Russian?

No. The model card lists its languages and Russian is not among them.

Where can I download QwQ and what does it cost?

The QwQ weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.

How I deploy it for clients

  1. SelectionI pick the model size for your task and hardware and test it on your examples.
  2. DeploymentI deploy it on your server or in a closed network and provide an API.
  3. Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
  4. IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.

Comparisons

Similar models

TextDeepSeek-R1DeepSeek · ChinaCommercial use allowed

A reasoning model that thinks step by step before answering. Strong at calculations, logic and code; compact distilled versions are available.

DetailsTextQwenAlibaba · ChinaCommercial use with conditions

A family of language models with strong Russian language support, from small versions for a laptop to a flagship on par with commercial APIs.

DetailsMath and reasoningOpenThinkerOpen Thoughts (Stanford, Berkeley and other universities) · USACommercial use allowed

Fully open reasoning models: both weights and training data are published. Newer OpenThinkerAgent versions can carry out multi-step tasks.

Details

Source: huggingface.co/Qwen/QwQ-32B. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.