AI Token Counter
Estimate the number of tokens in your text for GPT-4, Claude, Gemini, and other LLMs. Useful for staying within context limits.
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How to use this calculator
Most English text tokenizes at roughly 4 characters per token. This is an approximation — actual counts vary by tokenizer, language, and content type.
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Paste or type the text you want to count into the text area.
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Select the model family you are targeting from the dropdown.
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Read the estimated token count and percentage of the context window used.
Frequently asked questions
How accurate is this token counter?
This tool uses the 4-characters-per-token heuristic, which is accurate to within roughly 10–15% for typical English text. For exact counts, use the model provider's official tokenizer (e.g., tiktoken for OpenAI).
Does token count vary by language?
Yes. Non-Latin scripts (Chinese, Arabic, Korean, etc.) often use more tokens per word because characters map less efficiently to the tokenizer vocabulary. Code and special characters can also alter the ratio.
What happens if I exceed the context window?
The model will either return an error or silently truncate the input, depending on the provider and SDK settings. Always leave room for the output tokens as well.
AI Token Counter — Estimate Tokens for GPT-4, Claude & Gemini
How to use the ai token counter
Use this ai token counter to he number of tokens in your text for gpt-4, claude, gemini, and other llms. Enter your values above and get your result in seconds. The tool is free, works on all devices, and keeps your data private — nothing is stored or shared.
How the ai token counter works
The ai token counter uses standard formulas used in AI development, LLM usage planning, and prompt budgeting. Enter your inputs, and the tool calculates the result instantly in your browser. No server-side processing means your data stays on your device. Results update in real time as you change inputs.
Why token counting matters
Every large language model processes text as tokens, not raw characters or words. A token is roughly 4 characters in English, but the exact boundary depends on the model's vocabulary. Knowing your token count before making an API call helps you stay within the model's context window, avoid unexpected truncation, and budget API costs accurately.
Context windows across popular models
GPT-4 supports up to 128,000 tokens, Claude 3 extends to 200,000 tokens, and Gemini 1.5 Pro reaches 1,000,000 tokens. Smaller open-source models like Llama 3 typically top out at 8,000–128,000 tokens depending on the variant. Choosing the right model for your document length is the first step to avoiding context errors.
Ai token counter: how it works
This free tool saves time and reduces the chance of manual errors. Enter your values, get an instant result, and use it as a starting point for further analysis or professional consultation.
Who uses this tool?
Anyone who needs a fast, reliable answer uses this tool as a first step. It is designed to be accessible to non-specialists while accurate enough to trust for most everyday purposes.
Learn more from an authoritative source:
OpenAI Platform DocsAI Prompt Cost Calculator
Calculate the cost of an AI API call based on input/output tokens and model pricing.
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Convert between words, characters, tokens, and pages for AI models and content planning.
AI API Budget Calculator
Plan your monthly AI API budget based on usage volume, model selection, and request patterns.
Context Window Checker
Check if your text fits within the context window of popular AI models. Paste your prompt and see which models can handle it.
Results are estimates for informational purposes only and do not constitute professional financial, medical, legal, or technical advice. Read full disclaimer →