LangSmith vs. Braintrust: Which AI evaluation platform is better?

LangSmith and Braintrust are platforms designed for AI evaluation and observability, each catering to different development needs. LangSmith, developed by the LangChain team, excels in environments focused on LangChain and LangGraph, providing seamless tracing and managed deployment within this ecosystem, though it does offer limited support for other frameworks via SDK wrappers and OpenTelemetry. Braintrust, on the other hand, is suited for teams that require AI evaluation integrated with production workflows and CI/CD quality gates, offering broader framework support without the need for per-seat pricing. While LangSmith offers a smooth developer experience within its native ecosystem, Braintrust allows for a more flexible approach to evaluation across various frameworks and providers, making it ideal for teams that need a comprehensive evaluation and release control system. Pricing structures differ, with LangSmith charging per seat and Braintrust offering unlimited user access, which can lead to significant cost differences as teams grow. Ultimately, the choice between the two depends on whether a team prioritizes integration within the LangChain ecosystem or requires a versatile evaluation platform that supports a wider range of frameworks and production needs.

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