Context window
The context window is how much text a model can consider at once, measured in tokens.
What it means
The context window sets how much material a model can hold in one pass: the question, the instructions, the retrieved passages and the draft it is writing. When a research task needs more text than fits, the tool must choose what to keep. Those choices decide which sources reach the final answer.
A bigger window does not guarantee better research. Long inputs can dilute attention, and important passages can be lost in the middle. Tools handle this by splitting work into chapters, summarizing sources, or fetching passages on demand. For you, the practical question is whether the tool breaks a big question into smaller pieces that each fit. Ask how it handles long source lists. A useful habit is to note which step of the process produced each claim you rely on.
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Cite this entry
https://bestresearchai.com/glossary/context-window/