The LIBOR Markov-functional model is an efficient arbitrage-free pricing\ud model suitable for callable interest rate derivatives. We demonstrate that the\ud one-dimensional LIBOR Markov-functional model and the separable onefactor\ud LIBOR market model are very similar. Consequently, the intuition\ud behind the familiar SDE formulation of the LIBOR market model may be\ud applied to the LIBOR Markov-functional model.\ud The application of a drift approximation to a separable one-factor LIBOR\ud market model results in an approximating model driven by a one-dimensional\ud Markov process, permitting efficient implementation. For a given parameterisation\ud of the driving process, we find the distributional structure of this model\ud and the corresponding Markov-functional model are numerically virtually\ud indistinguishable for short maturity tenor structures over a wide variety of\ud market conditions, and both are very similar to the market model. A theoretical\ud uniqueness result shows that any accurate approximation to a separable\ud market model that reduces to a function of the driving process is effectively\ud an approximation to the analogous Markov-functional model. Therefore, our\ud conclusions are not restricted to our particular choice of driving process. Minor\ud differences are observed for longer maturities, nevertheless the models\ud remain qualitatively similar. These differences do not have a large impact\ud on Bermudan swaption prices.\ud Under stress-testing, the LIBOR Markov-functional and separable LIBOR\ud market models continue to exhibit similar behaviour and Bermudan\ud prices under these models remain comparable. However, the drift approximation\ud model now appears to admit arbitrage that is practically significant.\ud In this situation, we argue the Markov-functional model is a more appropriate\ud choice for pricing.