Verified65% confidenceFactExact time
The context window is the upper limit of text a large language model can see at one time, usually measured in tokens, and anything beyond it is truncated or discarded.
3
Sources
65%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedThe context window refers to the length of text a model can remember and reference in a single conversation; information beyond this range is truncated and discarded.79% similarUnverifiedCLIP文本编码器的标准上下文窗口长度约为77个Token，超出部分的语义信息会被截断或降权处理77% similarUnverifiedThe context window refers to the total amount of input a model can read at one time, while the output window refers to the maximum amount of text a model can continuously generate at one time.77% similarUnverifiedContext is the upper limit of information the model can "see" in each response, measured in tokens, with roughly one Chinese character corresponding to one to two tokens; when the conversation grows longer or files grow larger, earlier information is pushed out of the window, causing the model to forget.76% similarUnverifiedThe length of text a large model can "see" at each inference is limited, and this stretch of text is called the context window75% similar
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