Sparse superposition codes for the additive white Gaussian noise channel have fast iterative decoders of hard decision and soft decision form in previously reported work with Antony Joseph and Sanghee Cho, respectively.  Asymptotically, both allow nearly exponentially small error probability for any fixed rate R < C.  For practical codelengths there are substantial differences in performance depending on the form of the decoder, as we explore in this presentation.