Unverified50% confidenceTradeoffExact time
一个典型的四层智能体工作流（规划→执行→验证→总结）可能将单次任务的令牌成本放大8至15倍
1
Sources
50%
Confidence
Long-term
Relevance
7/18/2026
First Seen
Sources
Related Claims
Verified智能体单次任务可能触发数十次模型调用，单次任务成本可以是普通对话的数十倍79% similarUnverifiedIn multi-agent systems, each Agent call must carry the full context, and multi-turn reasoning continuously accumulates conversation history, meaning a seemingly simple multi-Agent task may consume tens of thousands or even hundreds of thousands of Tokens, whereas an equivalent workflow might only require a single call of a few hundred Tokens.74% similarVerifiedAn Agent's token consumption for a single task may be 5–10 times that of an ordinary conversation, due to the involvement of multiple rounds of large model calls.72% similarUnverifiedCompleting a full task (run) often requires multi-turn dialogue, tool calls, context retrieval, and other multi-step operations, and the cumulative token consumption can be tens of times higher than a single question-and-answer exchange.72% similarUnverifiedThe LLM API cost for a single session of an Agent handling complex tasks can be 10–50 times that of a simple question-and-answer interaction70% similar
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