0 B · 0 chars · 0 lines
Prompt or text
Token analysis
0.00 ms
Tokens
0
GPT-4o
Words
0
Whitespace-delimited words
Characters
0
0 B
Tokens / word
0.00
Lower is usually cheaper
Estimated cost
$0.000000
Input token estimate
Model comparison
ModelTokensTokens / wordCost

LLM Token Counter

Paste prompts, documents, or transcripts to count GPT-4o tokens exactly and estimate Claude, Llama 3, Gemini, and Mistral usage with cost and token-per-word metrics.

LLM Token Counter Use Cases

  • Estimate prompt size before calling an LLM API
  • Compare token cost across GPT-4o, Claude, Llama, Gemini, and Mistral
  • Check whether long documents fit into a context window
  • Measure token-per-word density for prompts, datasets, and transcripts

LLM Token Counter FAQ

Is the token count exact for every model?

GPT-4o uses a real tokenizer loaded on demand. Claude, Llama 3, Gemini, and Mistral use calibrated browser-side estimates because their exact production tokenizers are not publicly shipped for identical local use.

Does my prompt leave the browser?

No. Text is processed locally in your browser, and large inputs move to a Web Worker so the interface stays responsive.

How is cost estimated?

Cost uses the selected model profile and input tokens per million. It is designed for planning and comparison, not billing reconciliation.

Can I compare token density between models?

Yes. The comparison table shows token count, token-per-word ratio, and estimated input cost for each supported model family.