Hyperskill
Nikalina Ogorodova
Free Lesson

Where the tokens go: the cost of an LLM API call

120 min
Dec 19, 2026 12:00 PM

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What you'll learn

Where the tokens come from

Some of the tokens you pay for are ones you never wrote, and output and reasoning tokens cost more than input.

How caching shows up in your bill

Providers charge less for the start of a prompt they’ve seen recently, if it stays the same between requests.

Which changes bring the cost down

Reorder the prompt so caching works, send less text, ask for shorter output, pass easy requests to a smaller model.

Why this topic matters

LLM costs tend to rise as a product grows, as prompts get longer and teams pick a bigger model because it’s the easy choice. A bill that looks fine in testing can become a problem at volume. Knowing where the tokens go lets you cut costs with measured changes, and check that the cheaper version still does the job. You’ll get the app’s repository before the session, so you can follow along or run each step yourself afterwards.

You'll learn from

Hyperskill

Hyperskill

AI Engineering Education by JetBrains & MIT alumni

JetBrains
MIT
Nikalina Ogorodova

Nikalina Ogorodova

AI/ML Engineer at Hyperskill, making advanced AI concepts accessible.

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