Token Counter

Count tokens and estimate LLM API costs

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Token counts are estimates based on character-to-token ratios. For exact counts, use the official tokenizer. Cost estimates use published API pricing.

How to Use Token Counter

Paste text

Paste or type your prompt/text.

Select model

Choose GPT-4o, Claude, Gemini, or other models.

See counts

View tokens, words, characters, lines, and estimated cost.

Why Choose AllTools Token Counter?

  • Real-time counting
  • 11 LLM models
  • Cost estimation
  • Multiple encodings
  • Words/chars/lines
  • No data stored

Why Use This Tool

  • Estimate API costs before running expensive prompts
  • Supports GPT-4o, Claude Opus/Sonnet/Haiku, Gemini, Llama, Mistral
  • Real-time counting as you type
  • Your text never leaves your browser

Understanding LLM Tokens

Large Language Models process text as tokens — subword units that are typically 3-4 characters long for English text. "Hello world" is 2 tokens, but code and non-English text may tokenize differently. API costs are calculated per token (separately for input and output), making token counting essential for budgeting. Different models use different tokenizers: GPT-4o uses o200k_base (~3.7 chars/token), GPT-4/3.5 use cl100k_base (~4 chars/token), and Claude uses its own BPE tokenizer (~3.5 chars/token).

Related Resources

Frequently Asked Questions

How accurate is the token count?
Token counts are estimates based on character-to-token ratios (~3.5-4 chars per token). For exact counts, use the official tokenizer for your model.
Is my text sent anywhere?
No. All counting happens locally in your browser. Your text is never transmitted to any server.
Does this work on mobile devices?
Yes. AllTools is fully responsive and works on all modern browsers including iOS Safari and Android Chrome.

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