Unverified50% confidenceTradeoffTime unknown
Each step of the iterative loop consumes API call quota for the large model, and costs can accumulate quickly for complex tasks.
1
Sources
50%
Confidence
Long-term
Relevance
9/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedA complex programming task may involve dozens of tool-call loops, each of which consumes tokens and introduces latency.79% similarUnverifiedAgentic systems often run continuously every minute via scheduled tasks, and combined with multiple rounds of model calls, tool call results being fed back in, and reflection steps, token costs escalate exponentially.76% similarUnverifiedClaude Code的代理架构意味着每次任务执行可能触发多轮模型调用，Token消耗呈指数级增长而非线性增长75% similarUnverifiedChain-of-Thought technology can improve accuracy on complex tasks, but at the cost of multiplying token generation, further lengthening response time.74% similarUnverifiedMulti-agent tasks consume far more credits than single-turn conversations, because each subtask triggers an independent LLM call and stacks additional multimodal model call costs.74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/917709API
curl https://kongchang.com/api/v1/knowledge/claims/917709MCP
get_claim(id=917709)