Reasoning Model

An LLM trained to 'think' before answering — spending extra compute on internal step-by-step reasoning to solve harder math, coding, and logic problems.

Reasoning models trade speed and cost for accuracy on complex tasks, so use them for planning, hard debugging, and analysis — and a fast standard model for simple, high-volume calls. They often make chain-of-thought prompting unnecessary.