Unverified50% confidenceOpinionExact time
Model selection is essentially a multi-objective optimization problem: sometimes the lowest price is needed, sometimes the fastest response, and sometimes specific capabilities.
1
Sources
50%
Confidence
Long-term
Relevance
9/12/2026
First Seen
Sources
Related Entities
Related Claims
Unverified选型应按任务结构而非模型名气选择,若三问(多步执行且可能改计划、错误成本高、结果可验证)都为是则优先用Opus 5,只有一个为是则先用更便宜的模型79% similarUnverifiedIn multi-step agent tasks, typically only a small number of steps require top-tier model reasoning; the majority of intermediate steps are glue logic, and using high-end models uniformly across all steps wastes budget.78% similarUnverifiedThe model's tool-triggering decision is essentially a probabilistic threshold problem: when confidence exceeds the threshold the model tends to answer directly, and only triggers retrieval when confidence falls below it.77% similarUnverified基于任务难度的单位经济学原则:任务难度决定所需模型能力,无需默认追求最强模型,对无状态快速一次性请求Sol性价比更优76% similarUnverifiedThe fundamental difficulty of model routing lies in the impossible triangle of latency, cost, and quality: platforms pursue global optimization while users typically care only about quality.75% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/913704API
curl https://kongchang.com/api/v1/knowledge/claims/913704MCP
get_claim(id=913704)