GPT-5.3

As AI takes on longer, higher-stakes tasks, we want models to carry beneficial and safe behavior into new domains beyond their training—and maintain it under pressure. That’s the idea behind our new r

As AI takes on longer, higher-stakes tasks, we want models to carry beneficial and safe behavior into new domains beyond their training—and maintain it under pressure. That’s the idea behind our new research on training models to be broadly and persistently beneficial.

Improving health intelligence in ChatGPT

Introducing LifeSciBench, a benchmark for measuring and improving how well AI supports real-world life science research. Developed with 173 scientists from biotechnology and pharmaceutical research, L

Introducing LifeSciBench, a benchmark for measuring and improving how well AI supports real-world life science research. Developed with 173 scientists from biotechnology and pharmaceutical research, LifeSciBench includes 750 expert-authored tasks across seven biological research https://t.co/JDkKWcnL9F

Introducing LifeSciBench

We’re sharing new research on a method for anticipating how models may behave in real-world use before release: simulating deployment with recent, de-identified user requests and studying candidate mo

We’re sharing new research on a method for anticipating how models may behave in real-world use before release: simulating deployment with recent, de-identified user requests and studying candidate model responses. https://t.co/7RJzBfNniQ

Let’s talk about evals. We’re always looking for better ways to measure and forecast model progress, especially as benchmarks get saturated or gamed. @tejalpatwardhan, who leads our frontier evals tea

Let’s talk about evals. We’re always looking for better ways to measure and forecast model progress, especially as benchmarks get saturated or gamed. @tejalpatwardhan, who leads our frontier evals team, spoke to @andrewmayne about why evals matter and what models need to be https://t.co/Q3oRCuNxYB

Predicting model behavior before release by simulating deployment

Introducing the OpenAI Partner Network

Models | OpenAI API

Models | OpenAI API Home API Docs Guides and concepts for the OpenAI API API reference Endpoints, parameters, and responses Codex Docs Guides, concepts, and product docs for Codex Use cases Example workflows and tasks teams hand to Codex ChatGPT Apps SDK Build apps to extend ChatGPT Commerce Build commerce flows in ChatGPT Resources Showcase Demo apps to get inspired Blog Learnings and experiences from developers Cookbook Notebook examples for building with OpenAI models Lear

GPT-5.3 Instant benchmark update

OpenAI published official provider-reported benchmark evidence for GPT-5.3, GPT-5.3 Instant, gpt-5.3-instant, GPT-5.3 Chat.

Introducing GPT-5.3-Codex

Loading… Share Frontier agentic capabilities Frontier agentic capabilities Coding Web development Beyond coding An interactive collaborator How we used Codex to train and deploy GPT-5.3-Codex Securing the cyber frontier Availability & details What’s next Appendix Table of contents Frontier agentic capabilities Coding Web development Beyond coding An interactive collaborator How we used Codex to train and deploy GPT-5.3-Codex Securing the cyber frontier Availability &