Unverified60% confidenceTradeoffExact time
Completing 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.
2
Sources
60%
Confidence
Long-term
Relevance
7/22/2026
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80% similarVerifiedIn 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.79% similarUnverifiedTaking current mainstream implementations as an example, completing an enterprise process involving multiple system transitions often requires dozens or even hundreds of steps, with a single task taking up to several minutes.77% 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.76% similarUnverifiedIn Agent workflows, the return result of each tool call at every step must be written back into the context, so context is consumed extremely fast, and a task involving a dozen files and dozens of tool calls can accumulate to several hundred thousand tokens.74% similar
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