Unverified50% confidenceFactExact time
The context window refers to the total length of the entire conversation, while the maximum output tokens refers to the maximum output per single turn; the former is typically larger than the latter
1
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50%
Confidence
Long-term
Relevance
8/31/2026
First Seen
Sources
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Related Claims
UnverifiedToken consumption in multi-agent systems is typically far higher than in single-conversation scenarios, because they involve multiple rounds of dialogue, role switching, system prompts, and context passing.63% similarUnverifiedThe context window limit applies per conversation rather than as a daily total quota, with each conversation having its own independent context window62% similarUnverifiedIn multi-turn Agent conversation scenarios, the number of input tokens grows linearly or even quadratically as the number of conversation turns increases.61% similarUnverified传统语音助手依赖固定唤醒词的关键词检测模型（KWS），参数量通常在100KB到1MB量级，在毫瓦级功耗下持续运行60% similar
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