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Count tokens for GPT-4, Claude, Gemini and Grok before you send a prompt. Your text never leaves your device — the tokenizer runs locally.
Tokens
0
Characters
0
Words
0
Chars / token
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Estimated cost
Type something to see the rough cost across major models.
Large language models don't read characters or words directly — they read tokens. A token is a chunk of text the model has learned to treat as a unit. For English, a token averages roughly four characters: a short word like "the" is one token, while "tokenization" might be two or three.
Tokens matter for three practical reasons. First, every model has a maximum number of tokens it can process at once — its context window. Second, API providers charge per token, separately for input and output. Third, response speed depends on token count: more tokens means more compute and a longer wait.
Knowing your token count before sending a prompt lets you stay inside the window, predict the cost, and trim text that doesn't pull its weight.
For GPT-4, GPT-3.5 and GPT-4o, this tool uses tiktoken with the cl100k_base encoding — exactly what the OpenAI API uses on the server side. The count is byte-for-byte accurate.
Claude, Gemini and Grok use proprietary tokenizers that aren't fully public. We estimate them from text statistics: Claude tokenizes English at roughly 0.95× the GPT rate, Gemini at 0.90×, and Grok at about parity with GPT. Expect the estimate to be within 5–10% of the real count — close enough for context-window planning and cost estimation.
No. The tokenizer runs entirely in your browser — no network call, no logging, no storage.
Tokenizers split longer or unusual words into pieces. "Unbelievable" is one word but typically three tokens. Code, emoji, and non-English scripts tokenize even more heavily.
Yes. Every byte you send — system message, user message, prior conversation history — is tokenized and billed.
Yes — and they're usually more expensive than input tokens. This counter measures the input side. Use our cost calculator to estimate total spend.
In MultipleChat you can run the same prompt across every major model — and token counts are tracked automatically.
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