Generative AI & LLMs intermediate

Reasoning Model

Also called: thinking model

A model trained to spend extra compute working through a problem before answering.

Reasoning models generate intermediate steps — a private scratchpad — before producing the final response, and are trained to do this well rather than just prompted into it. They trade latency and cost for accuracy on maths, code, and multi-step analysis. On simple tasks they are slower and pricier with no benefit.

In practice: Fifteen seconds of hidden work before a correct answer, versus one second and a wrong one.

Where this comes up