In contrast with earlier model comparisons,18, 43, 44 the results provide new insight into which broad classes of model explain the signal best and what features of the estimation procedure are important. This information is very timely, as recent model‐based diffusion MRI techniques, such as NODDI,15 SMT,17, 40 DIAMOND,16 DKI62 and LEMONADE,63 are starting to become widely adopted in clinical studies and trials. Despite their success, intense debate continues in the field about applicability of different models and fitting routines.64, 65 The insights from this challenge provide key pointers to the important features of the next‐generation of front‐line imaging techniques of this type. Moreover, the data and evaluation routines remain available to form the basis of an expanding ranking of models and fitting routines and a benchmark for future model development.