Since the inclusion of diffuse functions in a basis set is often too expensive for the geometry optimizations, we also test here what happens with the GEO performance of approximations as one goes from the AVnZ to VnZ basis set. The results are shown in Figure , where in each of the panels the ranking is kept of the respective AVnZ basis set. From this figure, we can see that the omission of the diffuse functions does not much affect the rankings of approximations, but it typically increases average GEO . Expectedly, it does more so as one goes from AVQZ to AVDZ. In the case of hybrids, the AVnZ to VnZ change worsens the average GEO by no more than 5% when n=Q or n=T, but it can worsen by ∼40% when n=D.