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AI Tool Comparison
Braintrust vs LangSmith
A side-by-side breakdown to help you pick the right tool for your workflow.
Braintrust
Trace, score, and compare LLM outputs to catch quality regressions before they reach production. Closed an $80M Series B at ~$800M valuation in early 2026.
Developer Tools
freemium
LangSmith
Debug, test, and monitor LLM applications and agents in production with LangChain's observability platform, billed by trace volume and seats.
Developer Tools
freemium
Bottom Line
Braintrust and LangSmith are rated evenly — the right pick comes down to which workflow you're running.
Choose Braintrust if…
LLM Evaluation
Choose LangSmith if…
LLM Observability
| Attribute | Braintrust | LangSmith |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| Pricing | freemium | freemium |
| Pricing Detail | Free (1GB data) / $249/mo Pro / Enterprise custom | Free (5K traces) / $39/seat/mo Plus / Enterprise custom |
| Rating |
Key Features
Braintrust
- Eval dataset management
- Custom scoring functions
- Experiment comparison
- CI/CD integration
- Prompt playground
- Production monitoring
LangSmith
- Full LLM call tracing
- LangChain native integration
- Evaluation datasets
- Automated regression testing
- Prompt playground
- Team collaboration
Pros
Braintrust
- •Best-in-class for systematic LLM evaluation workflows
- •Integrates into CI/CD so evals run on every change
- •Strong support for complex multi-step agent evaluation
LangSmith
- •Native LangChain integration provides trace depth that third-party tools can't match
- •Evaluation dataset workflow is among the most mature in the LLM observability category
- •Playground lets you test chains interactively before deploying changes
Cons
Braintrust
- Overkill for simple single-prompt applications
- Takes time to set up meaningful eval datasets
LangSmith
- Less useful for non-LangChain stacks compared to framework-agnostic alternatives
- Free tier trace limits hit quickly in production