How to Choose the Right LLM for Your Product

Choosing a large language model isn't about picking the biggest one. It's about matching the model to the task.

Consider four factors: accuracy on your specific use case, latency requirements, privacy and data residency needs, and cost at your expected volume.

Often the best architecture routes different tasks to different models — a powerful model for complex reasoning, a smaller, cheaper one for simple classification. We benchmark candidates on your real data before committing, and design for the ability to switch models as the landscape evolves.