Given unlimited data, models are at least as good as humans at every task. All you'd need is a dictionary, and you could perfectly recover the target distribution.

Where humans excel is learning with a relatively small amount of data. But presumably that's just because we're able to transfer knowledge from other, related tasks. Some models can do that too, but not nearly as well. Either way, that invalidates the comparison since the data isn't fixed anymore.