As AI technology becomes increasingly prevalent in enterprise applications, more teams are seeking stable and efficient AI service solutions. This article focuses on enterprise teams of 15-30 people, exploring selection criteria for cost-effective API gateway services. The analysis emphasizes stability, speed, multi-model support (including Claude, Gemini, etc.), and invoicing capabilities as key enterprise requirements, providing practical reference guidance for IT decision-makers. Whether optimizing existing AI services or planning AI infrastructure for new teams, these considerations are crucial for ensuring return on investment and business continuity.
