TextMath and reasoning

Cogito

Fine-tuned Llama, Qwen and DeepSeek models with a hybrid mode: answer immediately or reason first. The 671B v2.1 flagship spends noticeably fewer tokens on reasoning than DeepSeek R1.

Developer
Deep Cogito, USA
First release
Apr 2025
Latest release
Nov 2025
Sizes
3B – 671B
License
Commercial use with conditionsv1 and the Llama-based v2 versions: Llama licenses; Qwen- and DeepSeek-based versions: Apache 2.0 / MIT
Russian
Not stated
Ready-made builds
GGUF
Running
Available in OllamaAlso runs without a GPU
Industries
Customer support, Software development, Documents and accounting
Deploy on your server Hugging Face

What it does

  • A chat assistant with a reasoning mode
  • Writing code and calling tools
  • Answering complex questions about documents

Where it is used

Customer supportDevelopmentAnalytics

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
fits
1 GPUOne GPU with 16–80 GB — mid-size versions
fits
ClusterServer with several GPUs — flagship versions
fits

Versions

  1. Cogito v2.1 671B
  2. Cogito v2 Preview (70B – 671B)
  3. Cogito v1 Preview (3B – 70B)

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 Cogito be used in a commercial project?

With conditions. License: v1 and the Llama-based v2 versions: Llama licenses; Qwen- and DeepSeek-based versions: Apache 2.0 / MIT. Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.

What hardware does Cogito 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 Cogito 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 Cogito and what does it cost?

The Cogito 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.

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.

DetailsTextLlamaMeta · USACommercial use with conditions

The models that started mass open source in AI. A huge ecosystem of fine-tuned versions and tools.

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.

Details

Source: www.deepcogito.com/research/cogito-v2-1. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.