Unverified50% confidenceOpinionExact time
When choosing a model, the key question is to find the model that passes the evaluation set with acceptable accuracy and has the lowest running cost, not the smartest model.
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50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
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Related Claims
UnverifiedThe essence of model selection is making trade-offs among intelligence, performance, and price based on one's own use case, and no single model can be optimal across all dimensions.80% similarUnverifiedModel selection is essentially a multi-objective optimization problem: sometimes the lowest price is needed, sometimes the fastest response, and sometimes specific capabilities.79% similarVerified跑分榜单衡量的是模型考试能力而非解决真实问题的能力78% similarUnverified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77% similarUnverifiedMore parameters do not necessarily mean a smarter or less error-prone model; what matters is the model's actual task performance (such as correctly citing evidence and acknowledging missing information).76% similar
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