Count tokens
Example output
~162
estimated tokens
| Words | 45 |
| Characters | 249 |
| GPT-5 (est) | ~92 tokens |
| Claude (est) | ~80 tokens |
Why tokens matter
Every LLM processes text in tokens. More tokens = higher cost (on per-token APIs) and faster context window usage. A typical 1,000-word article is about 1,300 tokens. The tokenizer shows you exactly how your text breaks down so you can optimize your prompts and reduce costs.
Frequently asked questions
How many tokens is my text?
A rough rule: 1 word ≈ 1.3 tokens, 1 English page ≈ 300-400 tokens. Use this tokenizer for the exact count.
How many words per token?
Approximately 0.75 words per token for English. This varies by language and content type.
Last updated Jul 2026. Prices and availability verified at time of writing — check provider pages for current rates.