Again, can't find a reliable source for that.

I personally doubt that GPT-4 is significantly larger than GPT 3.x, simply because that would also further inflate inference cost, which you generally want to avoid in a product (as opposed to a research feat).

Better architecture, better RLHF, more and better train data, more train compute? Seems all reasonable.

Orders of magnitudes larger again? Don't think so.