A practical starting point

Estimate prompt size before a model request

Estimate a text prompt’s size, separate context from expected output, and verify exact usage with the model provider before setting a budget.

3 steps to get startedSources reviewed
The token counter provides a rough text estimate so you can compare shorter and longer drafts. It is not a model-specific tokenizer, a live price feed or an exact multimodal usage calculator.

Useful starting points

Tools and resources you can explore today. External services have their own terms and availability.

A practical way forward

  1. Count the complete text you control

    Include instructions, examples and conversation text, not just the latest question. Treat attached images and tool schemas as additional inputs that need separate accounting.
  2. Reduce repetition before removing context

    Compare a full prompt with a shorter version that keeps necessary constraints and examples. Leave room for the answer and any tool results.
  3. Verify against the actual service

    Use the chosen provider’s current tokenizer or usage response for exact accounting. Confirm current model limits and prices separately before estimating money.

Keep in mind

  • The displayed estimate is JavaScript UTF-16 string length divided by four, rounded up; code, non-English text and non-text inputs can differ substantially from a provider tokenizer.
  • No model prices or context limits are preset. Optional cost estimates use only the rates, output budget and request count you enter, not verified provider billing.

Sources, not guesswork

Background for this guide. Discussion and documentation are useful signals, not proof of demand or an endorsement of every service.

Planned · Research

Model-specific prompt budgeting

Research only — not available yet. Would exact supported-model counts and explicit image/tool allowances help you manage a repeated workflow?

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AN IDEA IN RESEARCH

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