Browser-based Token Counter
Token Counter — Count Tokens for GPT, Claude, and Gemini Prompts
Count tokens and estimate API costs for your AI prompts before sending them. 100% free, runs entirely in your browser.
Token Count
26
Characters
152
Words
20
Est. Cost
< $0.0001
Context Window Usage
Why Token Count Matters
AI APIs charge based on tokens processed, not words or characters. Understanding your prompt's token count helps you estimate costs before sending requests and ensures you stay within model context windows. If you're working with encoded data, check out our Base64 Encoder to handle payloads safely.
Context windows limit how much text a model can process in a single request, so optimizing your prompts can save money and prevent truncation errors in your applications.
How Tokenization Works
Models split text into sub-word tokens instead of exact words. In English, a token is roughly 4 characters or 0.75 words on average. For example, "unhappiness" might be split into "un", "happiness" instead of being treated as a single word.
Token Counter vs Character Counter
| Metric | What It Measures | Why It Matters |
|---|---|---|
| Characters | Raw text length | Not billed by LLM APIs |
| Words | Whitespace-separated units | Rough estimate only |
| Tokens | Model's actual processing unit | What you're billed for |
Frequently Asked Questions
Is this an exact token count?
For GPT models, yes, using the same tokenizer family as the OpenAI API. For Claude and Gemini, it's a close estimate since their exact tokenizers aren't public.
Why do different models count differently for the same text?
Each model family uses its own vocabulary and tokenization rules, so identical text can produce different token counts.
Does this tool store my prompts?
No, everything is processed locally in your browser. Nothing is uploaded or logged. If you need secure token handling, our JWT Decoder can help with API tokens.
How can I reduce token usage?
Remove redundant instructions, use concise phrasing, and avoid repeating context the model doesn't need.