Token Counter
The fastest free online token counter for LLMs. Instantly count tokens, words, and characters with real-time visualization.
Token Counter Tool
Paste or type your text to see the token count in real-time
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Why Use Token Counter?
Instant & Accurate
Count tokens in real-time using the official tiktoken library. Compatible with most modern large language models.
100% Free & Private
No sign-up, no limits, no ads. Your text never leaves your browser - everything is processed locally for complete privacy.
Visual Token Breakdown
See exactly how your text is tokenized with color-coded visualization. Perfect for understanding and optimizing prompts.
Perfect for Developers & Prompt Engineers
- ✓Estimate API costs - Know exactly how many tokens your prompts use before making API calls
- ✓Stay within context limits - Ensure your prompts fit within model context windows (4K, 8K, 32K, 128K tokens)
- ✓Optimize prompts - Identify verbose sections and reduce token usage for faster, cheaper API calls
- ✓Debug tokenization - Understand how models split your text, especially for code and special characters
- ✓Compare text versions - Quickly check token counts when A/B testing different prompt formats
Frequently Asked Questions
What is a token counter?
A token counter is a tool that calculates how many tokens are in your text. Tokens are the basic units that AI language models use to process text. This is essential for prompt engineering because API costs and context limits are measured in tokens.
How do I count tokens for LLMs?
Simply paste your text into Token Counter and it will instantly show you the token count using the tiktoken tokenizer. The count is calculated in real-time as you type and works for most modern LLMs.
Is this token counter free?
Yes, Token Counter is completely free to use with no limits. There's no sign-up required, no ads, and your text is processed entirely in your browser for privacy.
What models does this token counter support?
Token Counter uses the cl100k_base tokenizer which is compatible with most modern large language models. It provides accurate or close approximation counts for any LLM that uses similar byte-pair encoding tokenization.
Why do I need to count tokens?
Counting tokens is essential for: estimating API costs since you pay per token, staying within context window limits, optimizing prompts to be more efficient, and debugging tokenization issues in your AI applications.
Universal LLM Compatibility
Token Counter uses the cl100k_base tokenizer, which provides accurate or closely approximate token counts for most modern large language models.
Works with OpenAI, Anthropic, Google, Meta, and other major AI providers' models.