How hard is it to find a "well-distributed" subset of models of a propositional formula?
Well, I don't know what the exact complexity class is, but the problem is hard: a polynomial-time algorithm for this problem would imply P=NP.  Just take $k=0$; then the answer to your problem is yes if and only if $\phi$ is unsatisfiable.  Therefore, any polynomial-time algorithm for your problem would imply P=NP.



If you don't like relying on the special case $k=0$, here's a related construction.  Let $\psi$ be a boolean formula on $n$ variables $x_1,\dots,x_n$.  Introduce $n+1$ new variables $y_0,\dots,y_n$.  Define the formula

$$\phi := (\psi \land y_0 \land \dots \land y_n) \lor (\neg y_0 \land \dots \neg y_n).$$

Set $k=1$ and $\alpha=n$.  If $\psi$ is satisfiable, the answer to your problem is no.  If $\psi$ is not satisfiable, the answer to your problem is yes.