Unverified50% confidenceOpinionExact time
The larger the context window, the more information the model can remember in a single call, but it also brings rising inference costs and the problem of intermediate information being ignored.
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Long-term
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10/12/2026
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Related Claims
UnverifiedIf all historical information is passed in on every call, the large model's context window limit will be exceeded as the number of interaction turns increases.75% similarUnverifiedThe context window determines the maximum number of tokens a model can see in a single inference; when project files exceed the window, the model forgets earlier content, resulting in inconsistent code or even errors.74% similarVerifiedModels' recall of content at the beginning and end of the context window is significantly better than that of the middle portion, a phenomenon known as the "Lost in the Middle" problem.74% similarUnverifiedExternal memory systems that inject a small amount of the most relevant information into the context window through precise retrieval improve actual model performance more than piling in full document sets.74% similarUnverified本地模型的上下文窗口往往比旗舰API模型更有限，臃肿的指令会浪费算力并稀释关键信息73% similar
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