OpenAI's evolving catalog includes three distinct models—GPT-4o, O1, and O1-mini—each designed to address varying needs in terms of speed, reasoning complexity, and cost-efficiency. GPT-4o excels in multimodal speed and low latency, processing text, images, and audio quickly, making it suitable for high-throughput applications. In contrast, O1 offers detailed chain-of-thought reasoning for complex tasks, albeit with higher latency and cost, catering to industries requiring precise and verifiable outputs. O1-mini, a cost-effective variant of O1, balances reasoning depth with reduced computational demands, making it ideal for use cases demanding logical accuracy without immediate responses. The text also highlights the importance of selecting the right model based on specific production needs and enterprise priorities, using tools like Galileo for monitoring and optimizing deployment strategies across these models.