Unverified50% confidenceFactExact time
The context window refers to the total amount of information a model can process simultaneously in a single conversation, usually calculated in tokens; as the number of conversation turns increases, earlier content gradually exceeds the window range, causing the model to "forget" earlier discussion.
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50%
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Long-term
Relevance
10/14/2026
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Related Claims
VerifiedEach model response includes the full conversation history (context window) in billing, and as the number of dialogue turns increases, the token consumption per call grows linearly or even super-linearly.79% similarUnverifiedThe context window refers to the maximum number of tokens a model can remember in a single conversation; different models range from a few thousand to several hundred thousand tokens, but no matter how large, it is always finite.77% similarUnverified长上下文窗口机制使模型在切换说话角色后仍能保持人物设定与事件背景的一致性，区别于早期依赖外部知识库检索或手动状态管理的对话系统73% similarUnverifiedWhen building the dataset, the previous several turns of dialogue should be retained as input rather than isolated single sentences, so that the model can learn context-dependent behavioral patterns (such as short single-word messages and topic shifts).73% similarVerifiedThe context window of a large language model determines the upper limit of information the model can process in a single inference.72% similar
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