Lesson 1780 of 2116
AI Model Families: When Small Models (Haiku, Flash, Mini) Are the Right Answer
Small models are not just cheap — for narrow, high-volume tasks they are often faster, more predictable, and easier to reason about than their big siblings.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2small model
- 3Haiku
- 4Flash
Concept cluster
Terms to connect while reading
Section 1
The premise
Defaulting to the biggest model wastes money and latency; small models excel at classification, extraction, routing, and reformatting at a fraction of the cost.
What AI does well here
- Identify small-model-friendly task patterns
- Show the cost and latency delta
- Recommend a 'small first, escalate' router
- Note where small models genuinely fail
What AI cannot do
- Replace evals on your specific data
- Predict where small-model quality cliffs sit
- Account for tokens-per-minute quotas across tiers
Key terms in this lesson
End-of-lesson quiz
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