Unverified50% confidenceFactExact time
Evaluations such as LLM-as-a-Judge incur double or even multiple times the token overhead, because tokens are consumed both to generate the answer being evaluated and to have another model score it.
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50%
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Long-term
Relevance
8/31/2026
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Related Claims
Unverified以 3 个顾问加 1 个决策者的标准配置为例，MoA 总 Token 消耗约为单模型的 4-6 倍66% similarUnverifiedTwo models with similar intelligence scores may differ in inference cost by several times or even an order of magnitude.65% similarUnverified对同一测试用例执行多次调用统计成功比例得到通过率，比二元的通过/失败判断更能反映模型真实表现64% similarUnverifiedIn engineering practice, random sampling of 5%–20% of production traffic is typically used with LLM-as-a-Judge to balance coverage and cost.63% similar
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