The γ'-strengthened CoNi-base superalloys have higher γ' volume fraction and lower γ' solvus temperature compared to Ni-base wrought superalloys, making this type of alloy more appropriate for higher service temperatures. However, to date, limited γ'-strengthened CoNi-base wrought superalloys were reported, and the comprehensive properties of the developed alloys were barely to fully meet the engineering requirements. In order to accelerate the engineering application of this type of alloy, our research group previously designed two γ'-strengthened CoNi-based wrought superalloys using a combination of multicomponent diffusion-multiple and machine learning method. In this paper, the comprehensive properties, including alloy density, microstructural stability, hot-workability, mechanical properties and oxidation resistance of the designed alloys will be evaluated, and the alloying effects will be discussed. This study will be helpful to accelerate the engineering application of γ'-strengthened CoNi-based wrought superalloys.