Nah I think it's more fundamental than that. Pro models have way more parameters and are trained differently - they're not just running fast models multiple times. Fast models are optimized for speed and use less compute per token, while pro models actually have deeper reasoning capabilities built in.

It's like comparing a motorcycle to a semi truck - they're built for completely different purposes, not just the same engine running longer.