Sources and sinks of atmospheric CO₂ may be estimated using a 'top-down' approach of measuring CO₂ concentrations in the atmosphere and backing out the surface fluxes that must have caused them using a global inversion method (considering atmospheric winds and mixing). These results complement the 'bottom-up' approach of compiling detailed inventories of CO₂ flux using process models. Measurements of column-average CO₂ from satellites are particularly useful in these inversions, given their broad coverage in space and time, but have higher errors than traditional in situ measurements. Errors in the transport models used in inversions are also large. Here we use global CO₂ flux inversion results from an ensemble of different modeling groups participating in the OCO-2 v11 MIP to assess the impact of the new (v11) satellite retrievals. We focus on the ability of the data to constrain the latitudinal distribution of the CO2 fluxes, as well as the land/ocean partitioning of the flux. We assess improvements in the ocean glint data, as well as the extra information provided by the OCO-3 instrument. Finally, we use forward runs of CO₂ and SF₆ tracers to assess systematic differences in the flux results caused by the transport models.