Braintrust vs Helicone

Choose Braintrust if…

Best for teams shipping LLM applications who need systematic proof that a prompt or model change actually improved quality, and its edge is integrates evaluation directly into CI/CD so evals run automatically on every change, not as a manual afterthought. Best-in-class for rigorous LLM evaluation workflows, real overkill for a simple single-prompt application. Lean toward Helicone instead if a proxy-based setup that requires one line of integration, no SDK rewrite, to get logging, cost tracking, and caching matters more for your use case.

Choose Helicone if…

Best for developers who want instant LLM call visibility without changing their existing SDK integration, and its edge is a proxy-based setup that requires one line of integration, no SDK rewrite, to get logging, cost tracking, and caching. The fastest observability setup in the category, Langfuse still goes deeper on evaluation. Lean toward Braintrust instead if integrates evaluation directly into CI/CD so evals run automatically on every change, not as a manual afterthought matters more for your use case.