OpenThinker
Fully open reasoning models: both weights and training data are published. Newer OpenThinkerAgent versions can carry out multi-step tasks.
- Developer
- Open Thoughts (Stanford, Berkeley and other universities), USA
- First release
- Jan 2025
- Latest release
- Jun 2026
- Sizes
- 1.5B – 32B
- License
- Commercial use allowedApache 2.0
- Russian
- Not stated
- Ready-made builds
- GGUF
- Running
- Available in OllamaAlso runs without a GPU
- Industries
- Science and research, Finance, Education, Software development
What it does
- Calculations and formula checks
- Complex analytics with step-by-step breakdowns
- Checking the logic of internal policies
- Training and working through problems
Where it is used
Hardware requirements
Versions
- OpenThinkerAgent 8B и 32B
- OpenThinker-Agent-v1
- OpenThinker3-7B
- OpenThinker2
- OpenThinker-32B
- OpenThinker-7B
How to run it
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 OpenThinker 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 OpenThinker need?
At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does OpenThinker support Russian?
The model card does not list languages, so Russian support cannot be promised — it has to be tested on your own examples.
Where can I download OpenThinker and what does it cost?
The OpenThinker 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
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Similar models
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.
DetailsMath and reasoningSky-T1NovaSky (Sky Computing Lab, Berkeley) · USACommercial use allowedA Berkeley reasoning model trained for under 450 dollars. It showed that o1-preview-level reasoning can be reproduced with modest resources.
DetailsMath and reasonings1Stanford University · USACommercial use allowedA reasoning model trained on just a thousand problems. It can be told to think longer to answer a hard question more accurately.
DetailsSource: huggingface.co/api/models?author=open-thoughts&sort=createdAt&directio. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


