Lesson 1060 of 1570
Reasoning Models (o1, o3, Claude Thinking) vs Regular Chat Models
Reasoning models 'think' before answering — slower and pricier, but way better on math, code, and logic.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The big idea
- 2reasoning models
- 3o1
- 4o3
Concept cluster
Terms to connect while reading
Section 1
The big idea
OpenAI's o1, o3, Claude with extended thinking, Gemini Thinking, DeepSeek R1, and Grok with reasoning — these all share a trick. Before answering, they generate a long internal 'thought' process. You don't see most of it. The result: way better on math, science, and tricky code. The cost: 10–100x more tokens and longer waits. Use them when accuracy matters.
Some examples
- Math word problems: reasoning models go from ~50% to ~90% correct.
- Hard coding tasks (fix this bug across 5 files): reasoning models clearly win.
- Asking 'what's the capital of France?': reasoning model is wasteful — use a regular model.
- Writing creative fiction: reasoning models are often worse — too cold and analytical.
Try it!
Run the same competition-math problem on a regular model and a reasoning model. Compare answer and time.
Key terms in this lesson
End-of-lesson quiz
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