Unverified50% confidenceFactExact time
Each Agent incurs token costs when calling large language models in the background, and the costs accumulated from a large number of Agents running continuously may far exceed expectations.
1
Sources
50%
Confidence
Long-term
Relevance
9/17/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedWhen using the Opus model, pricing is significantly higher than smaller models, and a long misdirected Agent session can consume tens of dollars in API fees.80% similarUnverifiedLarge model inference costs are high, and the computational overhead of agent-type features far exceeds that of ordinary conversations.78% similarUnverifiedThe official APIs of top large models are all pay-as-you-go, with high inference costs.77% similarUnverifiedIn commercial model API scenarios billed per token, a runaway Agent loop can consume hundreds of dollars in API fees within minutes.77% similarUnverified业界已有多起因Agent陷入循环或上下文膨胀导致单次任务产生数百美元费用的案例74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/928801API
curl https://kongchang.com/api/v1/knowledge/claims/928801MCP
get_claim(id=928801)