Unverified95% confidenceFactTime unknown
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
1
Sources
95%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIn 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.82% 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 multi-turn agent conversations, token consumption is often 5–10 times that of ordinary conversations due to the need to carry tool call results, historical context, and system prompts.79% similarUnverifiedAs the number of conversation turns increases, the messages list grows longer and may eventually exceed the model's context window limit.72% similarUnverifiedTraditional conversational AI typically has a context window of a few thousand to tens of thousands of tokens69% similar
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