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Cost
Calculator

Enter how much a task uses and see what every major model would cost — ranked cheapest first. Size an API bill before you commit.

API calls per month. Set to 1 for a single-call cost.
Model Provider Cost / call Cost / month vs cheapest

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How LLM pricing works

How is the cost calculated?

(input tokens ÷ 1,000,000 × input price) + (output tokens ÷ 1,000,000 × output price). Input and output are billed separately, so a task that reads a lot but answers briefly costs very differently from one that writes long responses.

What is a token?

A fragment of text — roughly 0.75 words, or about 4 characters of English. So 1,000 tokens is about 750 words. "Words" mode above converts for you (1 word ≈ 1.33 tokens, an estimate).

Why does output cost more than input?

Generating each output token runs a full forward pass through the model — heavier than reading input — so output is often priced 3–6× the input rate. Verbose answers, not long prompts, drive the bill.

Where do these prices come from?

The same verified data behind our AI model & LLM pricing comparison, traced to each provider's official page.

Token estimates are approximate; every model uses its own tokenizer. Gemini 3.1 Pro is shown at its ≤200K rate ($2/$12) and costs more above 200K. Prices exclude batch and prompt-caching discounts. For planning, not billing.