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gpt-oss

OpenAI's first open models since GPT-2. Reasoning and tool calling; the smaller version fits on a single GPU.

Developer
OpenAI, USA
First release
Aug 2025
Latest release
Aug 2025
Sizes
20B, 120B
License
Commercial use allowedApache 2.0
Russian
Not stated
Ready-made builds
GGUF, AWQ, MLX (Apple)
Running
Available in OllamaNeeds a GPU
Industries
Software development, Customer support, Documents and accounting
Deploy on your server Hugging Face GitHub

What it does

  • AI agent that calls internal systems
  • Answers based on internal policies
  • Drafts of emails and reports

Where it is used

Corporate agentsClosed, cloud-free environments

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. gpt-oss-120b
  2. gpt-oss-20b

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 gpt-oss 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 gpt-oss 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 gpt-oss 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 gpt-oss and what does it cost?

The gpt-oss 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

TextQwenAlibaba · 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.

DetailsTextDeepSeek-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.

Details

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