Verified70% confidenceFactExact time
The 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.
4
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70%
Confidence
Long-term
Relevance
9/22/2026
First Seen
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Related Claims
UnverifiedThe context of a large language model is essentially the total amount of information the model can process in a single inference, typically measured in the number of tokens.80% 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.79% similarUnverified上下文窗口决定模型单次能处理的文本量：8K约6000词，32K约24000词，128K可处理整本书内容76% 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.74% similarUnverified1M 上下文意味着模型可以一次性处理约 75 万个英文单词或数十万行代码74% similar
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