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LLM Token Counter
Count tokens using the cl100k_base tokenizer. See real-time costs and context window usage — all processing happens entirely in your browser.
Tokens
0
Characters
0
Words
0
Lines
0
Est. Cost (Input)
$0.0000
$2.5 / 1M tokens
Context Window Usage (GPT-4o)
0 / 128,000 tokens0.00% of 128K context window used
Token Visualization
What is LLM Token Counter?
LLM Token Counter counts the number of tokens in your text using the same tokenization algorithm (cl100k_base) used by GPT-4 and other large language models. See real-time token counts, estimated API costs, and context window usage — all without sending your prompts to any server.
How to Use
- Paste or type your text into the input area
- Select the LLM model to see model-specific costs and context limits
- View the token count, estimated cost, and context window usage in real time
- Toggle token visualization to see how your text is split into tokens
Use Cases
- Estimating API costs before sending prompts to GPT-4 or Claude
- Checking if prompts fit within context window limits
- Optimizing prompt engineering by reducing token count
- Understanding how different text formats affect tokenization
Privacy & Security
All tokenization happens entirely in your browser. Your prompts, API calls, and sensitive data are never sent to any server — which is exactly how a token counter for LLM prompts should work.
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