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AI Tool Comparison
Braintrust vs Langfuse
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
Langfuse
Trace and score LLM application runs so teams can debug agent behavior and track cost per user or session.
Developer Tools
freemium
Bottom Line
Langfuse edges ahead on rating (4.7 vs 4.6), but the right pick still comes down to which workflow you're running.
Choose Braintrust if…
LLM Evaluation
Choose Langfuse if…
LLM Observability
| Attribute | Braintrust | Langfuse |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| Pricing | freemium | freemium |
| Pricing Detail | Free (1GB data) / $249/mo Pro / Enterprise custom | Free (50K units) / $29/mo Core / $199/mo Pro |
| Rating |
Key Features
Braintrust
- Eval dataset management
- Custom scoring functions
- Experiment comparison
- CI/CD integration
- Prompt playground
- Production monitoring
Langfuse
- Full LLM call tracing
- Prompt version management
- User session tracking
- Cost and latency analytics
- Evaluation datasets
- Self-hostable
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
Langfuse
- •One of the best open-source options in LLM observability
- •Works with any LLM provider
- •Eval framework helps catch quality regressions early
Cons
Braintrust
- Overkill for simple single-prompt applications
- Takes time to set up meaningful eval datasets
Langfuse
- Setup requires SDK integration in your codebase
- Dashboard can feel complex for simple use cases