Revolutionary open-source language models by OpenAI, democratizing access to advanced AI with GPT-OSS-120B and GPT-OSS-20B models.
GPT OSS represents a groundbreaking shift in AI accessibility. Released on August 5, 2025, this open-source GPT model family consists of two powerful variants designed for reasoning and developer tasks.
117 billion parameters with 5.1B active per token
21 billion parameters with 3.6B active per token
Parameters in GPT-OSS-120B
Discover the revolutionary capabilities that make GPT OSS the future of open-source language models
GPT OSS models are optimized for efficiency. GPT-OSS-120B fits on a single H100 GPU, while GPT-OSS-20B runs on consumer hardware with just 16GB memory.
Powerful reasoning capabilities comparable to OpenAI's o4-mini and o3-mini models, with adjustable reasoning effort levels for optimal performance.
Comprehensive safety measures tested under OpenAI's Preparedness Framework with a $500,000 Red Teaming Challenge for community input.
Get started with GPT OSS models in minutes. Follow our comprehensive guide for seamless integration.
Access GPT OSS models from Hugging Face or official repositories
Configure your hardware requirements and dependencies
Integrate using frameworks like vLLM, Ollama, or llama.cpp
Deploy to production with cloud or on-premises solutions
# Install required packages
pip install transformers torch
# Load GPT OSS model
from transformers import AutoModelForCausalLM, AutoTokenizer
model_name = "openai/gpt-oss-20b"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)
# Generate text
prompt = "Explain the benefits of open-source AI:"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_length=200)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response)
Compare GPT OSS models against leading language models with detailed benchmarks
Find answers to common questions about GPT OSS models and their implementation