LLM Token Counter
Estimate LLM token counts in real time. GPT-4/Claude/Gemini with API cost approximation.
Data is never sent to the server. Everything runs locally in your browser. Safe for sensitive information.
About this tool
Estimate the token count of your text for GPT-4, Claude, and Gemini in real time. See approximate API costs per model.
Tool interface
| Model | Est. tokens | Input cost (est.) |
|---|
Token count is a character-based estimate. Actual count depends on the model's tokenizer. Prices are as of 2025.
Usage
- Paste or type text
- See real-time character/word/token counts
- Check per-model API cost estimates
When to use
Examples
FAQ
How accurate is the estimate?
What is a token?
Keywords covered on this page
LLM Token Counter is a free developer tool for searches like token, ChatGPT, LLM, API, cost, prompt. Estimate LLM token counts in real time. GPT-4/Claude/Gemini with API cost approximation.
Basic workflow
- Paste or type text
- See real-time character/word/token counts
- Check per-model API cost estimates
Practical use cases
- API cost estimation, prompt optimization, context window checks.
- Estimate the token count of your text for GPT-4, Claude, and Gemini in real time. See approximate API costs per model.
- Real-time token estimation
- Multi-model support
Privacy & data handling
Input is processed locally in your browser—nothing is sent to our servers.
Things to watch out for
- Always double-check before pasting output into production
- Try incognito if extensions break the page
- Wait for processing on large inputs
Related learning content
Frequently asked questions
Is LLM Token Counter free?
Free to use, no sign-up required.
Is data sent to a server?
Input is processed locally in your browser—nothing is sent to our servers.
Supported browsers?
Tested on recent Chrome, Edge, Firefox, and Safari.
Offline use?
Core features work offline after the first load.
vs CLI or desktop apps?
LLM Token Counter is an install-free online alternative to CLI or desktop apps.
When to use it?
Use it when: API cost estimation, prompt optimization, context window checks.
Usage example?
Example: 100 Japanese chars ≈ 50-70 tokens, 100 English words ≈ 130 tokens.
Main features?
Real-time token estimation, Multi-model support, API cost approximation, Fully local
How is this different from similar tools?
LLM Token Counter runs in the browser with no install—ideal for quick checks before heavier CLI or IDE workflows.
Search keywords
token, ChatGPT, LLM, API, cost, prompt