Token Counter
Paste or type your text to see real-time token counts for your selected AI model
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Accurately count tokens for GPT-4, Claude, Llama, Gemini, and more. Optimize your prompts, estimate costs, and stay within context limits - all in your browser.
A comprehensive token counter for AI developers, prompt engineers, and anyone working with large language models.
No setup required. Just paste, select your model, and see results instantly.
Enter your text directly or upload a file. The counter handles any text length efficiently.
Choose from GPT-4, Claude, Llama, Gemini, Mistral, and more. Each model uses its own tokenizer.
Get instant token count, context usage percentage, and comprehensive text statistics.
How developers and AI practitioners use our token counter
Paste or type your text to see real-time token counts for your selected AI model
Token Counter
Paste or type your text to see real-time token counts for your selected AI model
Paste or type your text to see real-time token counts for your selected AI model
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Everything you need to know about token counting for AI models.
A token is a piece of text that language models process. It can be a word, part of a word, or punctuation. For example, 'tokenization' might be split into 'token' and 'ization'. Different models use different tokenization schemes, which is why token counts vary between models.
For OpenAI and Claude models, we use their official tokenizers providing exact counts. For Llama, Gemini, and Mistral, we provide estimates based on their known tokenization patterns.
We support GPT-4, GPT-4o, GPT-4-turbo, GPT-3.5-turbo (OpenAI), Claude 3 Opus/Sonnet/Haiku, Claude 3.5 (Anthropic), Llama 2/3 (Meta), Gemini Pro/1.5/2.0 (Google), and Mistral Large/Medium/Small.
Absolutely. All tokenization happens locally in your browser using JavaScript. Your text is never sent to any server - it stays on your device. We don't collect, store, or transmit your data.
Yes! Install it as a Progressive Web App (PWA) from your browser, and you can count tokens even without an internet connection.
You can upload any text-based file: .txt, .md, .json, .xml, .csv, .log, .html, .css, .js, .py, and more. The tool reads the raw text content for tokenization.
The context window is the maximum number of tokens a model can process in a single request (input + output). For example, GPT-4 has an 8K context window, while GPT-4-turbo has 128K. Our tool shows how much of this window your text uses.
We use Anthropic's official JavaScript tokenizer (@anthropic-ai/tokenizer) for accurate Claude token counting. This provides exact counts for all Claude 3 and 3.5 models.
This tool works in all modern browsers including Chrome, Firefox, Safari, and Edge. It is optimized for desktop use but works on mobile devices too.
We welcome feedback! You can submit issues or feature requests through our GitHub repository. We're constantly improving based on user input.
Join thousands of AI developers who use our token counter daily. Free, fast, and privacy-focused.