In response to the issues of an unsystematic evaluation criteria, incomplete verification methods, and unfocused evaluation targets for the autonomous coordination capabilities of unmanned swarms, this research explores and studies the division method and verification assessment method for the autonomous coordination capabilities of unmanned swarms. Firstly, it analyzes the autonomous coordination mechanism of UAV (Unmanned Aerial Vehicle) swarms from the perspectives of control structure, information sharing mechanism, and perception-action mechanism. Based on algebraic graph theory, a “node + connection” IOODA (Observe, Orient, Decide, Act) capability level model for UAV swarms is proposed. Secondly, combining the autonomous level division of unmanned swarms at home and abroad, the development trend of technologies, the basis for the division of autonomous coordination capabilities is proposed. An 8-level autonomous coordination level standard and definition are designed from the aspects of perception, decision-making, control, and interaction. Finally, from the perspectives of static evaluation and dynamic verification, methods and templates for capability level verification are proposed. The theories and methods put forward are instructive for the use mode, technological evolution, and experimental verification of unmanned swarms.