The slice sampler uniformly finds much better solutions than the Gibbs sampler regardless of initialisation.
the slice sampled models are restricted to learning binary branching one-to-one (or null) alignments, 8 while no restriction is placed on the Gibbs sampler (both use the same model, so have comparable LLH).