Lesson 1420 of 2116
Output Token Pricing Asymmetry Across Model Families
How output tokens cost more than input across most vendors and why this shapes prompt design.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2output token cost
- 3pricing asymmetry
- 4verbose outputs
Concept cluster
Terms to connect while reading
Section 1
The premise
Output tokens cost 2-5x input tokens — verbose outputs are a hidden cost lever.
What AI does well here
- Cap output length explicitly in prompts.
- Use structured output to reduce verbosity.
- Route long-output tasks to cheaper models.
What AI cannot do
- Eliminate output cost without quality trade-offs.
- Predict exact output length per request.
Key terms in this lesson
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