This report outlines the safety work carried out prior to releasing OpenAI o1 and o1-mini, including external red teaming and frontier risk evaluations according to our Preparedness Framework.

Advancing red teaming with people and AI

We introduce MLE-bench, a benchmark for measuring how well AI agents perform at machine learning engineering.

We are introducing OpenAI o1, a new large language model trained with reinforcement learning to perform complex reasoning. o1 thinks before it answers—it can produce a long internal chain of thought before responding to the user.

Advancing cost-efficient reasoning

We've developed and applied a new method leveraging Rule-Based Rewards (RBRs) that aligns models to behave safely without extensive human data collection.

Introducing the most cost-efficient small model in the market