  We compare the ability of four popular hybrid density functionals (B3LYP,
B3PW91, HSE, and PBE0) for predicting band gaps of semiconductors and
insulators over a large benchmark set using a consistent methodology. We
observe no significant statistical dference in their overall performance
although the screened hybrid HSE is more accurate for typical semiconductors.
HSE can improve its accuracy for large large band gap materials --without
affecting that of semiconductors-- by including a larger portion of
Hartree-Fock exchange in its short range. Given that screened hybrids are
computationally much less expensive than their global counterparts, we conclude
that they are a better option for the black box prediction of band gaps.
