It's cheap to copy already built models from their outputs, but likely still expensive to train new models that push the boundaries.

A small team of AI researchers from Stanford University and the University of Washington has found a way to train an AI reasoning model for a fraction of the price paid by big corporations that produce widely known products such as ChatGPT.

OpenAI has launched a new 'reasoning' AI model, o3-mini, the successor to the AI startup's o1 family of reasoning models.

OpenAI just released o3-mini, a reasoning model that’s faster, cheaper, and more accurate than its predecessor.

OpenAI has also made the new model available via several of its application programming interfaces. Developers can use the APIs to integrate o3-mini into their applications. The API version of the LLM is available in three editions with varying output quality: o3-mini-low, o3-mini-medium and o3-mini-high.

Researchers managed to create a low-cost AI reasoning model rivaling OpenAI’s in just 26 minutes, as outlined in a paper published last week. The model, called s1, was refined using a small dataset of 1,