AI Token Counter

Estimate token counts for GPT, Claude, and Gemini models. See character count, word count, and cost estimates.

Input Text

Text Statistics

0Characters
0Words
0Sentences
0Paragraphs

Enter some text above to see token estimates.

Token counts are approximate. Each model uses a different tokenizer, so actual counts may vary. Use official tokenizers (e.g., tiktoken for OpenAI, Anthropic's tokenizer) for exact counts. Runs entirely in your browser — no data is sent to any server.

What the token counter does

LLMs don't read characters or words — they read tokens, and every API bills by them. This counter estimates how many tokens a piece of text uses for GPT, Claude, and Gemini, alongside its character and word counts, and shows a rough cost so you can see what a prompt or document will cost before you send it.

How to count tokens

  1. Paste your text — a prompt, a system message, or a document.
  2. Read the token estimate per model family (tokenizers differ slightly between providers).
  3. Use the count to stay within a model's context window and to estimate cost.

Why token counts matter

Two reasons: cost — you pay per token, so a bloated prompt is a recurring tax — and context limits — every model has a maximum window; exceed it and the request fails or silently truncates. Counting before you send lets you trim, chunk, or pick a larger-context model deliberately. To cut a prompt's token count, try the prompt compressor; to price a workload, the LLM pricing calculator.

Frequently asked questions

How many tokens is a word?

In English, roughly 1 token per ¾ word — so 1,000 tokens ≈ 750 words. Code, punctuation, and non-English text tokenize differently.

Why do GPT, Claude, and Gemini differ?

Each uses its own tokenizer, so the same text can be a slightly different count on each. The tool shows each so your estimate matches the model you'll actually call.

Is my text sent anywhere?

No — counting runs in your browser.

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