Unverified60% confidenceDecision RuleExact time
The core logic of a cascade routing strategy is 'never invoke a large model for what a small model can handle,' triggering a higher-cost model only when the small model's output confidence falls below a threshold.
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60%
Confidence
Long-term
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9/7/2026
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Related Claims
UnverifiedSmaller models can handle fewer instructions than larger models, and non-reasoning models can handle fewer instructions than reasoning models.77% similarUnverified并非所有业务场景都需要百亿参数的大模型,小模型往往是成本可控、响应更快的优选方案76% similarVerifiedModel routing strategies can assign simple subtasks to smaller models (such as GPT-4o-mini) and delegate only complex reasoning to larger models in order to reduce costs.76% similarUnverifiedEmbedding models are only responsible for representation, have fewer parameters, low inference cost, and do not depend on prompt engineering.76% similarUnverified思维链推理的效果随模型规模呈现涌现性,在较小模型上几乎无效,在足够大的模型上才能显著提升推理准确率76% similar
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