Generative AI is evolving rapidly, and choosing the right large language model (LLM) to solve a specific task can be tough. Google Vertex AI AutoSXS (Auto-Side-by-Side) offers a robust solution that makes comparing LLMs easier. This study looks at how Google Vertex AI AutoSXS evaluates two LLMs based on the accuracy and contextual understanding. AutoSXS lets the user test the performance of two LLMs for side-by-side performance tests. Its automated tools analyze how models perform on different datasets and tasks. It can handle complex calculations and gives clear insights, enabling AI researchers and developers to make informed choices. This paper explains how Google Vertex AI AutoSXS streamlines model comparison, improves the quality of evaluations, and helps in the development of more efficient AI solutions.