An article examining how the MMLU benchmark name alone does not ensure comparability between evaluation results. Two model builds report different MMLU accuracy scores (0.781 and 0.79) under the same benchmark name, but their underlying measurement procedures differ in dataset splits, graders, and runners, making direct comparison invalid without examining the full evaluation frames.