Unlike fully open‑source models (which include training code and data), open‑weight models simply make trained parameter weights publicly downloadable, allowing users to run and fine‑tune the model locally without revealing proprietary datasets.
High Performance at Local Scale
gpt‑oss‑120B, with roughly 117 billion parameters and 5.1 billion activated per token, delivers reasoning performance on par with OpenAI’s proprietary frontier model o4‑mini—and even surpasses it on health‑knowledge and advanced mathematics benchmarks.
gpt‑oss‑20B, a lighter version (~21 billion total parameters, ~3.6 billion activated), is optimized for desktops, laptops, or even smartphones with ~16 GB memory—and still matches or exceeds o3‑mini performance on many benchmarks.
Both models support a 128,000‑token context window, chain‑of‑thought reasoning, agentic tool‑calling, and adjustable reasoning depth (low/medium/high) to balance latency and accuracy.
Safety Measures and Licensing
OpenAI released the models under the permissive Apache 2.0 license, granting commercial use, redistribution, and modification rights—with no copyleft requirements. Though the weights are open, the training data and full source are not shared, so they are not fully open‑source in the traditional sense.
To mitigate misuse, OpenAI subjected gpt‑oss models to adversarial fine‑tuning and internal safety evaluations. According to the company, risks remained within its preparedness framework—even when tested for malicious repurposing.
Why It Matters
This move marks a return to openness for OpenAI—once the home of the GPT‑2 open‑weight release—and reflects mounting pressure from competitors like China’s DeepSeek, Meta’s Llama series, and other open‑weight innovators.
By empowering developers, researchers, nonprofits, and governments to run scalable models locally, OpenAI aims to foster innovation rooted in democratic values.
What About ChatGPT Users?
While the gpt‑oss models are designed for local deployment, OpenAI continues to offer subscription‑based ChatGPT services (ChatGPT Plus or Enterprise), which remain proprietary, cloud‑based, and feature‑rich. If you’d like to subscribe to ChatGPT or upgrade your plan, one convenient option is to use
virtual cards such as
ViriPay. These cards allow you to pay online securely—without exposing your real card—by generating a limited‑use virtual card number for each transaction. They work smoothly with major subscription services including ChatGPT.