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Why similar LLM agent scores need different fixes

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An LLM agent’s final accuracy can hide whether it failed to retrieve evidence or used that evidence badly. AgentHop tests 19 models on 1,011 computer-science multiple-choice questions in a seven-tool sandbox. The authors report that Opus 4.6 retrieves more, while Sonnet 4.6 synthesizes better, despite similar final accuracy. The result belongs to that benchmark. The protocol adds useful context.

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