Prompt Token Calculator
Paste your prompt to estimate its token count and cost across GPT, Claude, and Gemini tokenizers.
Your text
Token count
Characters
0
Words
0
Estimated tokens by model family
| Tokenizer | Tokens | Cost as input (example model) |
|---|---|---|
| GPT (OpenAI) | 0 | $0.000000 |
| Claude (Anthropic) | 0 | $0.000000 |
| Gemini (Google) | 0 | $0.000000 |
How this is calculated
tokens ≈ characters ÷ 4 (English prose rule of thumb, varies slightly by tokenizer family). For exact counts, use the provider's own tokenizer library.
Pricing is verified against provider pricing pages as of 2026-09-01. AI and cloud pricing changes frequently — confirm the current rate on the provider's own pricing page before budgeting.
Frequently asked questions
Why does my prompt's token count matter?
Providers bill by token, and models have a maximum context window measured in tokens — knowing your prompt's token count tells you both what it costs and whether it fits.
Does punctuation and whitespace count as tokens?
Yes — tokenizers split on subword units, not just words, so punctuation, whitespace, and formatting all consume tokens, which is part of why token counts run higher than word counts.
Why do different models report different token counts for the same text?
Each provider trains its own tokenizer with a different vocabulary, so the same text splits into a different number of tokens depending on which model will process it.
Is this an exact count?
No — this uses a character-based estimate (roughly 4 characters per token), a widely used approximation. For an exact count, use the provider's own tokenizer.