Verified65% 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.
3
Sources
65%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
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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% similarUnverifiedWhen the context contains key information but is mixed with a large amount of irrelevant content, the attention mechanism struggles to pinpoint the key information precisely, and the model may be misled into solving the wrong problem.75% similarUnverifiedAn implicit cache hit requires the content, model, and parameters to all be identical, so changing the thinking level mid-conversation breaks cache hits.74% 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content, resulting in inconsistent code or even errors.74% similarUnverifiedIf the memory store is full of duplicate, outdated, or mutually contradictory entries, the retrieval results will contain large amounts of low-value information, crowding out context space and even misleading the model, which is context pollution.74% similar
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