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Glossary

What is a token in AI?

A token is a small piece of text, often part of a word, that AI models read and write, and that providers use to measure limits and pricing.

What it means

Models do not read whole words. They split text into tokens, which are common chunks of characters. In English, a token is roughly three quarters of a word on average, though it varies by language and content.

Both what you send and what the model writes are counted in tokens, which decide cost and whether a request fits in the context window.

Why it matters for a business

Token counts drive AI costs. Sending whole documents when a summary would do, or asking for long answers when short ones are enough, multiplies spending at scale.

A business example

Things to watch

  • Measure average tokens per request in production.

  • Trim inputs to what the task needs.

  • Set sensible output length limits.

  • Remember different languages use different token counts.

Keep exploring

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