Large Language Models (LLMs) vs Small Language Models (SLMs) whats the difference

Large Language Models (LLMs) are powerful generative AI models trained on vast amounts of data, enabling them to understand context, perform complex reasoning, and handle a wide range of tasks such as conversation, summarization, and analytics. In contrast, Small Language Models (SLMs) are more lightweight and efficient, designed for faster performance and lower cost, often optimized for specific tasks or domains. While LLMs provide broad intelligence and flexibility, SLMs are ideal for real-time, scalable, and cost-effective applications. Together, they can be used strategically—LLMs for deep understanding and SLMs for speed and efficiency.