Yep, as a rule of thumb generative models need to be much larger. As a small caveat, that's because of what we're doing with those models; generation itself can

Yep, as a rule of thumb generative models need to be much larger. As a small caveat, that's because of what we're doing with those models; generation itself can also be tiny and fast, but only when the output space is sufficiently constrained. Next-word prediction (in keyboards), speech codecs (TTS, especially for blind people), and a number of other scenarios both admit small models and fall into the domain of what most experts would call "generative."