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Glossary

What is a context window?

A context window is the maximum amount of text, measured in tokens, that an AI model can consider at once, including the question, documents and its answer.

What it means

A language model reads everything you send, plus its own reply, within a fixed limit called the context window. It is measured in tokens, which are pieces of words. Many current models have windows of hundreds of thousands to about a million tokens, enough for long reports or whole contracts.

A bigger window is not free. Sending more text costs more and takes longer, and models can still miss details buried in very long inputs.

Why it matters for a business

The window decides whether a model can read a whole document at once or needs the text split and searched first. For large collections, retrieval is usually cheaper and more reliable than sending everything.

A business example

Things to watch

  • Longer inputs cost more and take longer.

  • Models can miss details in very long inputs.

  • Use retrieval when documents exceed what you want to send.

Keep exploring

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