AI 101

Thinking models

Also known as: reasoning models · extended thinking

Inference

Thinking (or reasoning) models are models trained to produce an explicit reasoning trace before the final answer — a scratchpad of intermediate steps.

They trade speed and tokens for accuracy:

  • Slower — they generate many extra “thinking” tokens.
  • Pricier — you pay for the thinking tokens too.
  • Much better on hard math, logic, and planning.

When to use one: hard problems where accuracy beats speed. For simple lookups, a fast non-thinking model is usually the better (cheaper) choice.