Why similar LLM agent scores need different fixes
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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