I do not — parameter count is objective, practical impact depends on such a multitude of factors that any comparison becomes virtually meaningless.

The standard for parameters count is rapidly evolving. Something large now will be small tomorrow, there is no point in using such a moving target as a criterion.

Sure, but nonetheless whether the model is called "small" at some time t should depend on the parameter count and t, not some arbitrarily specified metric of deployability.