One of the most common techniques of Lagrangian analysis is estimation of lateral eddy diffusivities (mixing rates) from spreading of floats or Lagrangian particles simulated with velocity output from ocean models. The relation between Lagrangian diffusivities and mixing rates employed in ocean models to parameterize the impact of unresolved turbulent processes is still poorly understood, however. In this work we flip this question and apply Lagrangian diffusivities to diagnose lateral turbulent transport from surface drifter trajectories and from Lagrangian particles released using output from a hierarchy of ocean models for the Agulhas Current system, known for its intense eddy variability. The models include an eddy resolving configuration (INALT01) with daily, 5-daily and monthly output, and noneddying configurations (ORCA05) with and without Gent and McWilliams parameterization. We find that INALT01 features different diffusive regimes for dynamically different regions, some of which exhibit strong suppression of eddy mixing by mean flow, and the model diffusivity estimates are consistent with the pattern and magnitude of drifter-based eddy diffusivity estimates. Using monthly mean velocities decreases the estimated diffusivities less than eddy kinetic energy, supporting the idea that large and persistent eddy features dominate eddy diffusivities. For a noneddying ocean model (ORCA05), Lagrangian eddy diffusivities are greatly reduced, particularly when the Gent and McWilliams parameterization of mesoscale eddies is employed. Reference: S. Rühs et. al., (2018): Eddy diffusivity estimates from Lagrangian trajectories simulated with ocean models and surface drifter data - a case study for the greater Agulhas system, doi: https://doi.org/10.1175/JPO-D-17-0048.1.