Lesson 2073 of 2116
Choosing Between AI Models: Capability, Cost, Latency
A practical framework for picking the right model for each task.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2model selection
- 3tradeoffs
- 4frontier vs efficient
Concept cluster
Terms to connect while reading
Section 1
The premise
There is no single best model — there is a frontier of capability, cost, and latency tradeoffs. The skill is matching task to model and revisiting that choice as the frontier moves.
What AI does well here
- Mapping tasks by complexity, latency budget, and cost sensitivity
- Using small fast models for classification and extraction
- Reserving frontier models for reasoning, coding, and judgment-heavy tasks
- Re-evaluating choices as new model versions ship
What AI cannot do
- Pick once and be done — the frontier moves every few months
- Trust benchmark scores blindly — they often diverge from your task
- Avoid the work of running your own evals across candidate models
Key terms in this lesson
End-of-lesson quiz
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