Unverified50% confidenceFactExact time
Context 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.
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50%
Confidence
Long-term
Relevance
10/14/2026
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Related Claims
Unverified上下文窗口是指模型在单次对话中能够记住并参考的文本长度，超出范围的信息会被截断丢弃77% similarVerifiedThe context window refers to the maximum amount of text a model can process in a single conversation; early models had only 4K tokens, while modern models have expanded to hundreds of thousands of tokens.76% similarUnverifiedThe context window refers to the maximum text length a model can process in a single inference, measured in tokens, where 1,000 tokens is approximately equal to 750 English words or 500 Chinese characters.74% similarUnverifiedEvery large language model has a maximum token limit it can process, and when the content accumulated by a long task approaches that limit the model will forget early content due to degradation of the attention mechanism over excessively long sequences.71% 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.70% similar
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