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Unverified50% confidenceSolutionExact time

轻量模型在高难度任务上的失败往往是结构性的，切换模型比优化提示词更务实

1

Sources

50%

Confidence

Long-term

Relevance

7/19/2026

First Seen

Sources

GPT-5.6实测：用Terra+Soul给真实小产品做全面重构

Related Claims

Unverified推理强度与任务复杂度并非线性正相关，对于结构清晰的任务，Low 或 Medium 档位往往已能触达模型能力上限79% similar Unverified模型调用会带来不可预测性，即使技能完美契合任务模型也可能选择不调用它76% similar Unverified能力不够的模型会因为要处理Harness的优化任务而分散本身的交互能力，导致整体表现下降76% similar Unverified开源大模型表现不佳的真正原因往往不是模型能力，而是工具调用层面的系统性缺陷，Ahmad称之为「工具混乱」（Tool Confusion）76% similar Unverified模型的综合能力强弱和它对指令的忠实程度是两件不同的事75% similar

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