Unverified90% confidenceFactExact time
长对话场景下上下文窗口会携带全部历史消息，Token消耗呈线性增长
1
Sources
90%
Confidence
Long-term
Relevance
5/28/2026
First Seen
Sources
API Aggregation Proxy Platforms Tested: One Interface to Call 100+ AI Models
bilibili我的名字叫做蔚5/28/2026
Related Entities
Related Claims
UnverifiedThe context window mechanism causes models in multi-turn conversations to feed the entire conversation history into the context, causing token consumption to grow rapidly as the conversation lengthens.83% similarUnverified多轮对话中Token用量会因携带完整历史上下文而随对话轮次呈线性增长81% similarUnverifiedIn long conversations, historical messages are repeatedly included in the context, causing the token consumption per interaction to grow continuously; the actual billing for the 10th round of dialogue includes the full text of the preceding 9 rounds.80% similarUnverifiedEach 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.77% similarUnverified在一个对话窗口里，提问轮次越多，后面每一轮消耗的Token就越大，因为历史对话会被拼接重新发送76% similar
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