The continuous bag-of-words model differs from other proposed models in the sense that its complexity does not rise substantially as we increase the window b, since it only requires two extra additions to compute c, which correspond to d w operations each.
the skipn-gram model requires two extra predictions corresponding to d w × V operations each, which is an order of magnitude more expensive even when subsampling V .