Unverified50% confidenceOpinionExact time
Scaling purely by the proportion of request counts often underestimates demand, because the capacity constraint comes from time-weighted resource occupancy (total request-time), not request counts.
1
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50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
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Related Claims
UnverifiedIn agentic workflows, a single prompt may trigger multiple requests, so measuring cost by the token increase of a single request will systematically underestimate the true overhead.73% similarUnverifiedRequests in production environments tend to follow a long-tail distribution—a large volume of simple requests and a small number of complex ones—which means a tiered routing strategy can bring about a substantial overall reduction in costs.72% similarUnverifiedWhen the same set of weights serves requests with different numbers of recurrent passes, the varying completion times of different requests become misaligned, leveling out the apparent throughput speed across different model tiers.71% similarUnverifiedPolling at a fixed interval has two problems: when there are many tasks it causes a large number of invalid requests that consume quota and may even trigger rate limiting; when tasks take a long time it may lengthen the total waiting time70% similarUnverified限额校验往往发生在请求入队时，而实际token消耗统计发生在推理完成后，两者之间存在时间差70% similar
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