The Hyperspace Analog to Language (HAL) and atent Semantic Analysis (LSA) models were tested on the Nelson-Denny Reading Test to determine their vocabulary level. In a subsequent experiment, human ratings of word-difficulty was compared with HAL's representational densities within semantic neighborhoods. Both experiments demonstrate that the context distance metric similarly predicts human behavior in both models.