MojiTrend Tools

AI Token Counter

Estimate how many AI tokens a pasted prompt may use and what it may cost based on configurable per-million-token prices.

Token estimate

26 estimated input tokens (0.33% of selected context).

  • Words: 15
  • Characters: 102
  • Estimated prompt cost: $0.000130
  • Estimated completion cost: $0.007500
  • Total estimated cost: $0.007630

Result type: estimate. No external tokenizer or AI API is called.

How to use this tool

Enter the required values in the labeled fields. Results update in your browser and are announced for assistive technologies. Use realistic measurements and verify important outcomes before acting on them.

Formula or logic

No external tokenizer or AI API is called. The generic fallback estimates tokens as characters divided by about 4, with model-specific estimate ratios.

Example calculation

Example: 4,000 characters are roughly 1,000 tokens with the generic estimate.

Practical use and limits

This page is built for checking, cleaning or transforming pasted text locally before publishing, sending or importing it elsewhere. The calculation is intentionally visible and described above so you can sanity-check the result instead of treating it as a black box.

Limit: browser text parsing is practical rather than legally authoritative; review sensitive copy manually. For important decisions, use this result as a planning aid and verify it against the relevant source of truth.

Last reviewed: May 29, 2026.

AI Token Counter: practical guide

Token count is the practical budget for AI prompts, chat history, summaries and API calls. A prompt can look short in words but become expensive or truncated when tokenized.

Use this counter before sending long context to an LLM, especially when mixing code, tables, JSON, logs or multilingual text.

Real examples

Support transcript

Input: long chat history plus instructions

Result: trim repeated turns before model context is wasted

JSON payload

Input: large structured object

Result: tokens may grow faster than plain prose

Practical notes

  • Tokens are not the same as words or characters.
  • Code, IDs and structured data can be token-heavy.
  • Counting helps decide what to summarize, remove or attach separately.

Common mistakes

  • Assuming 1000 words always fits a small context window.
  • Sending repeated boilerplate in every prompt.
  • Ignoring output token budget when asking for long responses.

Frequently asked questions

Does this call an AI API?

No. It never sends text to an external AI service.

Are costs exact?

No. Costs depend on actual tokenizer, model pricing and provider billing rules.

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