A model's context window is the total amount of text — your prompt, any attached documents, and its own reply — that fits into a single request. Once a conversation grows past that limit, older content has to drop out, which is why long chats sometimes seem to "forget" earlier details.
- A context window is the total text — prompt, attachments, and reply — a model can process at once.
- It's measured in tokens (roughly three-quarters of a word each), not raw characters.
- A bigger window helps, but stuffing it with irrelevant content can still dilute focus.
It's measured in tokens, not characters
Text gets broken into chunks called tokens (roughly three-quarters of a word each, on average) before a model processes it. A context window size — say, a certain number of thousand tokens — translates to a rough page count, not an exact character limit.
Bigger isn't automatically better
A larger context window means you can paste in longer documents or keep a longer conversation going, but stuffing it full of irrelevant content can still dilute the model's focus on what actually matters in your request.
Working within the limit
For long documents, summarizing or trimming to the relevant section before pasting it in usually gets better results than dumping the entire thing in and hoping the model finds the important part.
Frequently Asked Questions
What is a context window?
The maximum amount of text — including your prompt, any attached documents, and the model's own reply — that fits into a single request before older content has to drop out.
Why does an AI seem to "forget" earlier parts of a long conversation?
Once a conversation grows past the context window limit, the oldest content is dropped to make room for new messages.