Unverified50% confidenceFactExact time
RouteLLM、Martian等路由框架通过训练轻量级分类器预判请求复杂度，可将API成本压缩40%-70%
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/20/2026
First Seen
Valid until: 10/18/2026
Sources
Related Claims
UnverifiedRouteLLM等专门的路由框架通过训练轻量分类器来预测任务是否值得调用强模型76% similarUnverified模型路由通过训练轻量级路由分类器评估请求复杂度，将简单任务路由至小模型、复杂任务路由至大模型70% similarUnverifiedMeta的RouteLLM项目和Martian公司的路由产品属于专门训练的小型路由模型方案66% similarUnverified代理模型的核心权衡是以有限的离线训练成本换取近乎无限次的低成本在线推理66% similarUnverified分析深度越高的平台学习成本越陡：TrainingPeaks/intervals.icu提供专业指标但界面复杂，Strava/Nike Run Club易上手但分析浅，建议入门期用简单平台，系统训练后再迁移65% similar
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