Unverified50% confidenceDecision RuleExact time
For scenarios with low call volume or highly variable tasks, using a general-purpose large model directly may still be the more economical choice.
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Long-term
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10/4/2026
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Related Claims
UnverifiedUsing small models for skill distillation and large models for actual execution may be a more optimal cost-performance combination78% similarUnverified对于执行类任务应使用低成本模型,对于规划类任务应使用顶级模型,即成本分层的决策规则76% similarUnverifiedFor high-difficulty, low-frequency tasks, the High configuration should be prioritized; for high-frequency, real-time tasks, the standard version should be prioritized; and for large-scale batch processing, a combined strategy of small-model pre-filtering followed by large-model refinement can be used.75% similarUnverifiedOnly when a certain type of task is sufficiently high-frequency, stable, and cost-sensitive does migrating it from a general-purpose model to a specially trained model potentially realize significant cost benefits.73% similarUnverifiedSelecting the model tier based on task type—not every task requires the strongest reasoning—can significantly optimize cost efficiency.73% similar
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