OpenAI tokenizer playground
Count tokens exactly with the encoding a model actually uses — every token id and slice listed, both directions, computed in a worker.
no Web Workers in this environment — exact counts need them; the page stays honest instead
Paste text (or ids), then press Count.
- Counts are the BPE output of the installed gpt-tokenizer encoding — a port of OpenAI's tiktoken. Exact for these encodings: what the matching OpenAI models charge for is what is counted.
- Claude, Gemini, and other vendors use different tokenizers. Counts here are NOT their counts — the context-fit tool labels those as estimates instead of pretending.
- Special tokens pasted into the text (like <|endoftext|>) count as their single special id — that is what a model actually receives.
- A token can hold partial UTF-8 (an emoji often splits); its slice may show the replacement character. That is the real boundary, not a bug.
Ordinary English — watch spaces lead most tokens.
Astral emoji and CJK carry multi-byte tokens; one grapheme is not one token.
Code tokens split on punctuation runs — why code costs more tokens than prose.
A pasted special token counts as its single special id — what the model actually sees.
Nothing in yet
Paste, drop, or type to begin. Everything stays on this device.
nothing counts until you press Count