In this system card, we label the fast, high-throughput models as gpt-5-main and gpt-5-main-mini, and the thinking models as gpt-5-thinking and gpt-5-thinking-mini. In the API, we provide direct access to the thinking model, its mini version, and an even smaller and faster nano version of the thinking model, made for developers (gpt-5-thinking-nano). In ChatGPT, we also provide access to gpt-5-thinking using a setting that makes use of parallel test time compute; we refer to this as gpt-5-thinking-pro.

It can be helpful to think of the GPT‑5 models as successors to previous models:

This system card focuses primarily on gpt-5-thinking and gpt-5-main, while evaluations for other models are available in the appendix. The GPT‑5 system not only outperforms previous models on benchmarks and answers questions more quickly, but—more importantly—is more useful for real-world queries. We’ve made significant advances in reducing hallucinations, improving instruction following, and minimizing sycophancy, and have leveled up GPT‑5’s performance in three of ChatGPT’s most common uses: writing, coding, and health. All of the GPT‑5 models additionally feature safe-completions, our latest approach to safety training to prevent disallowed content.

Similarly to ChatGPT agent, we have decided to treat gpt-5-thinking as High capability in the Biological and Chemical domain under our Preparedness Framework, activating the associated safeguards. While we do not have definitive evidence that this model could meaningfully help a novice to create severe biological harm—our defined threshold⁠(opens in a new window) for High capability—we have chosen to take a precautionary approach.