Revolutionary Open-Source Reasoning Models
Independent Open-Source Project
This project is not affiliated with, endorsed by, or connected to OpenAI. GPT-OSS models are independently developed open-weight language models created by the open-source community under Apache 2.0 license.
Discover GPT-OSS, the breakthrough open-source AI models with configurable reasoning levels, native agentic capabilities, and permissive Apache 2.0 licensing. Run on consumer hardware or scale to enterprise deployments.
Choose Your Model
Two powerful variants designed for different use cases and hardware requirements
GPT-OSS-120B
117B parameters (5.1B active)
Designed for production and general-purpose high reasoning use cases
Key Features
- Configurable reasoning levels
- Full chain-of-thought reasoning access
- Native MXFP4 quantization
- Runs on a single H100 GPU
Capabilities
- Function calling
- Web browsing
- Python code execution
- Structured outputs
GPT-OSS-20B
21B parameters (3.6B active)
Can run within 16GB of memory for consumer hardware
Key Features
- Configurable reasoning levels
- Full chain-of-thought reasoning
- Native MXFP4 quantization
- Fine-tunable on consumer hardware
Capabilities
- Function calling
- Web browsing
- Python code execution
- Structured outputs
Why Choose GPT-OSS?
Built from the ground up with cutting-edge features for modern AI applications
Configurable Reasoning
Choose from low, medium, or high reasoning levels to match your specific use case
Agentic Capabilities
Built-in support for function calling, web browsing, and Python code execution
Safety-First Design
Comprehensive safety measures and responsible AI practices built into every model
Apache 2.0 License
Completely free for both commercial and non-commercial use with permissive licensing
Broad Ecosystem Support
Compatible with Transformers, vLLM, PyTorch/Triton, Ollama, and LM Studio
Optimized Performance
Native MXFP4 quantization for efficient inference on consumer hardware
Frequently Asked Questions
Everything you need to know about GPT-OSS models