INTELLECT
Models trained in a distributed way on GPUs from around the world. INTELLECT-3 (106B) is further trained with reinforcement learning for math, code and agents.
- Developer
- Prime Intellect, USA
- First release
- Nov 2024
- Latest release
- Jan 2026
- Sizes
- 10B – 106B-A12B
- License
- Commercial use allowedINTELLECT-1 and 2: Apache 2.0; INTELLECT-3 and 3.1: MIT
- Russian
- Not supported
- Ready-made builds
- GGUF
- Running
- On your own serverNeeds a GPU
- Industries
- Science and research, Software development
What it does
- Reasoning and math tasks
- Programming help
- Agents with tool calling
Where it is used
Hardware requirements
Versions
- INTELLECT-3.1
- INTELLECT-3
- INTELLECT-2 32B
- INTELLECT-1 10B
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 INTELLECT be used in a commercial project?
Yes. License: INTELLECT-1 and 2: Apache 2.0; INTELLECT-3 and 3.1: MIT. It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does INTELLECT 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 INTELLECT support Russian?
No. The model card lists its languages and Russian is not among them.
Where can I download INTELLECT and what does it cost?
The INTELLECT 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
An American family of MoE models trained from scratch: Nano, Mini and Large. Trinity-Large-Thinking (398B) reasons before answering.
DetailsTextOLMoAllen Institute for AI (Ai2) · USACommercial use allowedFully open models: not only the weights but also the data, training code and intermediate checkpoints are published. Useful when transparent provenance matters.
DetailsTextGLM (ChatGLM)Zhipu AI (Z.ai) · ChinaCommercial use with conditionsOne of the oldest Chinese open lines: from ChatGLM-6B to GLM-5.3. Strong at agentic tasks and programming; GLM-5.3-Flash understands images and is released under MIT.
DetailsSource: huggingface.co/PrimeIntellect/INTELLECT-3.1. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


