OpenAI | OpenAI We believe our research will eventually lead to artificial general intelligence, a system that can solve human-level problems Building safe and beneficial AGI is our mission
Introducing ChatGPT - OpenAI We’ve trained a model called ChatGPT which interacts in a conversational way The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests
OpenAI Platform Build on the OpenAI API Platform Sign up or login with an OpenAI account to build with the OpenAI API
GPT‑4 - OpenAI We’ve created GPT-4, the latest milestone in OpenAI’s effort in scaling up deep learning GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while less capable than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks
Introducing GPT‑5. 4 - OpenAI Introducing GPT-5 4, OpenAI’s most most capable and efficient frontier model for professional work, with state-of-the-art coding, computer use, tool search, and 1M-token context
Introducing GPT‑4. 5 - OpenAI We’re releasing a research preview of GPT‑4 5—our largest and best model for chat yet GPT‑4 5 is a step forward in scaling up pre-training and post-training
Codex | AI Coding Partner from OpenAI The best way to build with agents Codex accelerates real engineering work, from planning and building features to refactors, reviews, and releases—working seamlessly across your tools
Research - OpenAI We believe our research will eventually lead to artificial general intelligence, a system that can solve human-level problems Building safe and beneficial AGI is our mission
Harness engineering: leveraging Codex in an agent-first world The product has internal daily users and external alpha testers It ships, deploys, breaks, and gets fixed What’s different is that every line of code—application logic, tests, CI configuration, documentation, observability, and internal tooling—has been written by Codex We estimate that we built this in about 1 10th the time it would have taken to write the code by hand