Unverified50% confidenceFactExact time
The method significantly increases inference cost, and practical deployment requires weighing latency against quality.
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50%
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Long-term
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10/21/2026
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VerifiedExcessive upfront thinking incurs increased latency and computational costs, which may not be worthwhile in scenarios that prioritize response speed.80% similarUnverifiedImprovements in reasoning depth can significantly increase latency and computational costs, potentially by 10x or even higher.79% similarUnverifiedHigher-capability models are typically accompanied by higher latency and call costs.79% similarUnverifiedLarge models have high inference costs, large response latency, and steep deployment barriers, making them unsuitable for all scenarios.78% similarUnverified推理时计算的扩展虽能提升单次输出质量，但成本以超线性方式增长，大规模部署往往难以经济可行77% similar
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