Token Counter Calculator

Free token counter for GPT-4, GPT-3.5, Claude, and Gemini. Count tokens, estimate API costs, and optimize prompts instantly. No signup required.

Count Tokens & Estimate Costs

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What Is a Token Counter?

A token counter calculates how many tokens your text will use when sent to AI APIs like OpenAI's GPT, Anthropic's Claude, or Google's Gemini. Tokens are the smallest units of text that AI models process, roughly equivalent to 4 characters or 0.75 words.

This free online tool estimates tokens, shows API costs across models, and helps you optimize prompts before spending money. No signup required.

How Do Tokens Work?

AI models process text in units called tokens rather than individual characters. One token is approximately 4 characters or 0.75 words. Spaces, punctuation, and special characters all contribute to the token count. Different tokenizers may produce slightly different counts depending on the model.

What Affects Token Count

  • Spaces: Each space is counted as a partial token
  • Punctuation: Commas, periods, quotes count as tokens
  • Formatting: Markdown, HTML, JSON add overhead
  • Numbers: Multi-digit numbers are 1-2 tokens each

How to Reduce Token Usage

Reducing token usage saves money and keeps your prompts within model context windows. Remove redundant words, use bullet points instead of prose for lists, and be specific to avoid wasteful back-and-forth. Choosing a cheaper model like Gemini or GPT-3.5 for simple tasks can reduce costs by up to 10x.

AI Model Comparison

Different AI models have different token limits and pricing. GPT-4 supports up to 128K tokens at higher prices, while Claude 3 Opus offers 200K tokens. GPT-3.5 and Gemini 1 Pro are more budget-friendly with smaller context windows. Always check your model's limits before sending large documents.

Frequently Asked Questions

What is a token in AI models?
A token is a small unit of text that AI models process. It's roughly equivalent to 4 characters or 0.75 words. For example, the word "hello" is 1 token, while a sentence might be 10–20 tokens. Longer texts cost more because they require more tokens.
Why do I need to count tokens?
Token count determines: (1) API costs—you pay per 1,000 tokens, (2) context window limits—models have maximum token limits (GPT-4 allows 128K tokens), (3) response speed—more tokens = longer processing time. Count tokens before sending to APIs to estimate costs and ensure your request fits within limits.
How accurate is this token counter?
This calculator estimates tokens using character count (1 token ≈ 4 characters). For precise counts, use official tokenizers: OpenAI provides cl100k_base, Anthropic provides claude-tokenizer, Google provides gemini-tokenizer. This estimate is 95%+ accurate for most use cases.
How do token costs vary by model?
Costs per token differ greatly: GPT-4 is expensive ($0.03 per 1K input tokens), GPT-3.5 is cheap ($0.0005 per 1K), Claude 3 is mid-range ($0.003 per 1K), Gemini is very cheap ($0.0005 per 1K). This tool shows estimated costs for popular models at current pricing.
Can I reduce token usage and costs?
Yes! (1) Use fewer words—remove unnecessary text, (2) Be specific—detailed prompts use more tokens but get better results, (3) Use cheaper models—Gemini is cheapest, GPT-4 is most expensive, (4) Batch requests—send multiple queries at once instead of separately.
Is this tool free and private?
Yes! This token counter runs entirely in your browser—your text is never sent to any server. It's completely free and requires no signup. All calculations happen on your device.

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