The Era of Interchangeable AI Models Has Arrived
Source: Radar
The proliferation of capable open and closed LLMs has collapsed vendor lock-in. Developers can now swap models based on task requirements—cost, speed, reasoning ability—rather than make institutional commitments to Claude, GPT, or Gemini. Power shifts to the infrastructure layer: inference platforms, routing systems, prompt frameworks. Abstraction is becoming the defensible moat. Winners won't be model builders but those who let developers move between them painlessly.