Unverified70% confidenceFactExact time
The context window refers to the maximum number of tokens a large model can process in a single inference, and a larger context window means higher computational cost.
2
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70%
Confidence
Long-term
Relevance
8/26/2026
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Related Claims
VerifiedThe context window refers to the maximum number of tokens a large model can process in a single inference, covering the sum of the input prompt and the output completion, and content exceeding the window will be truncated or cause the call to fail.80% similarVerifiedThe context window of a large language model determines the upper limit of information the model can process in a single inference.79% similarUnverifiedThe context window refers to the upper limit on the total number of tokens a large model can receive in a single inference, including the system prompt, historical conversation, tool return results and all other content, and it is a hard limit.77% similarVerifiedThe computational cost of large language models depends primarily on the number of tokens, model parameter scale, and context window size.76% similarVerifiedThe context window refers to the total number of tokens a model can see in a single inference, including input and output; the computational cost of the attention mechanism grows quadratically with sequence length.75% similar
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