This is oversimplified. The proposed question is whether a model with fewer parameters could achieve performance on one language similar to that of a larger model that’s been trained more broadly, which isn’t straightforward to do.
Although I’d be intrigued in the answer to that small-narrow vs. large-broad model question, too!