Tokens-per-Word Chart by Model
Type or paste text; see how many tokens each model's tokenizer produces, side by side. Useful when deciding which model to use for non-English content (where tokenization efficiency varies wildly) and for estimating cost impact of switching models for a fixed text corpus.
Token counts are estimates based on each tokenizer\'s typical char-to-token ratio for the input language. For exact GPT counts, use our OpenAI Token Counter; for Claude use the Claude Token Counter.