Unverified50% confidenceFactExact time
Because every conversation turn re-reads all prior content, the longer a session runs, the more expensive each new message becomes—costs accumulate with session length rather than instruction length.
1
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50%
Confidence
Long-term
Relevance
10/11/2026
First Seen
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Related Claims
UnverifiedUnder a linear conversation structure, token consumption is cumulative—every request requires retransmitting the entire history, increasing inference latency and driving up API call costs.78% similarUnverified多轮对话中第N轮的输入成本是前N-1轮内容的总和，累积效应会导致成本抛物线式增长77% similarUnverified随着对话轮次增加，每轮需携带完整历史上下文，输入token数量持续膨胀，导致推理时间呈现非线性增长77% similarUnverifiedRepeatedly stuffing redundant conversation history into the context window leads to increased token costs and higher inference latency.76% similar
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