AI
All toolsLLM Token Counter
Estimate token counts for GPT, Claude, and Llama prompts.
Text
Estimates
183Charactersincl. whitespace
28Wordswhitespace split
46GPT-3.5 / GPT-4~chars / 4
49Claude~chars / 3.8
50Llama 3~chars / 3.7
44Gemini~chars / 4.2
Estimates use character-ratio heuristics. Real tokenization varies by language and content (code, JSON, and non-Latin text use more tokens).
Frequently asked questions
- What is a token in an LLM?
- A token is a chunk of text the model processes as a single unit, usually 3-4 characters or roughly 0.75 of an English word. Punctuation, whitespace, and rare words often become their own tokens.
- Why do token counts differ between GPT, Claude, and Llama?
- Each model family uses a different tokenizer (BPE variants like cl100k, o200k, or SentencePiece) trained on different corpora. The same sentence can vary by 10-30 percent across providers.
- Is this counter exact for billing purposes?
- No. Browser-side counters are heuristic estimates and won't match the provider's tokenizer byte-for-byte, especially for code, emoji, or non-Latin scripts. Use it for budgeting, not invoicing.