Places where models disagree with each other more often would be areas that I would want to target for error checking.

This is a great idea if your goal is to maximize the rate at which things you look at turn out to be errors. (On at least one side.)

But it's guaranteed to miss cases where every model makes the same inexplicable-to-the-human-eye mistake, and those cases would appear to be especially interesting.