Verified65% confidenceTradeoffExact time
In 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.
3
Sources
65%
Confidence
Long-term
Relevance
7/14/2026
First Seen
Sources
AI Agent还是工作流？别让概念热度误导你的技术选型
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85% similarVerifiedFor a complex Agent task involving a 10-step plan, the actual token consumption may be 20 to 50 times that of a single conversation.80% 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.79% similarUnverified一个包含5个Agent、每Agent平均10轮推理、每轮2000 Token的任务单次执行约消耗10万Token，而等效确定性工作流可能只需一次几百Token的调用79% 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.79% similar
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