OpenAI's GPT-5 and Anthropic's Claude Opus 4.1, two advanced large language models, have recently been released, each offering distinct advantages in reasoning, comprehension, and adaptability. GPT-5 excels in accuracy, particularly in multi-step reasoning challenges, but it is slower and more costly compared to Claude, which is faster and more efficient, making it suitable for high-throughput tasks. Using the Humanity's Last Exam (HLE) benchmark, GPT-5 outperformed Claude in accuracy but required more time and computational resources. Feedback from users indicates that GPT-5 is better for complex reasoning and problem-solving, while Claude is favored for tasks where speed and cost are priorities. Deciding which model to deploy depends on specific workload requirements and constraints, with recommendations to test both models in real-world scenarios to determine the best fit. Braintrust offers a platform for evaluating and swapping models in production, allowing users to optimize based on performance and evolving needs.