Summarize the text below in at most 120 words (about 160 tokens). Keep: decisions, owners, deadlines. Drop: greetings, repetition. Text: """[paste]"""
Opens the analyzer with the prompt prefilled.
Open in PrompteaTokens
The chunks of text — whole words, word pieces or punctuation — that a model reads and writes; context limits and pricing are counted in them.
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How to apply it in prompts
Use this concept to reduce ambiguity and improve consistency. If you need strict formatting, combine it with a JSON guide and a per-model template.
What it means
- Definition: before a model sees your text, a tokenizer splits it into tokens. Common words are often one token; rare words, code and numbers can take several.
- Why it matters: both the context window and API pricing are measured in tokens, for the input you send and the output you receive.
- Rule of thumb: in English, a token is roughly three quarters of a word. The exact count depends on the model's tokenizer and on the language — text in Spanish or in code usually needs more tokens for the same meaning.
- How to apply it: shorter prompts and tighter context cost less and leave room for the answer; set an output limit when you only need a short reply. Use the provider's own token counter when the exact number matters.
Copy-paste example
FAQ
How many tokens is a page of text?
A page of about 500 English words is on the order of 650–700 tokens, but it varies by tokenizer and language. Use the provider's counter for an exact figure.
Are input and output tokens priced the same?
Usually not: providers publish separate prices per million input and output tokens, and output is typically pricier. Check the provider's current pricing page.