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Langfuse vs LangSmith
Langfuse vs LangSmith: compare pricing, use cases, AI models, integrations, privacy, governance and best fit by context.
Langfuse vs LangSmith : buying comparison
This comparison helps choose between Langfuse and LangSmith by pricing, use case, models, integration, privacy and governance.
Budget: Langfuse · $0+. Rating: Langfuse · 4.5/5.
| Criteria | Langfuse | LangSmith |
|---|---|---|
| Price | $0+ | $0+ usage |
| Best for | Open-source LLM observability, evals, prompt management and cost tracking | Tracing, debugging, evaluating and monitoring LangChain and agent applications |
| Models | Tracing, scores, datasets, prompt management, experiments, evals and model-cost analytics | Traces, datasets, experiments, evaluators, prompt iteration, cost tracking and production monitoring |
| Privacy | MIT open-source core with free self-hosting and enterprise cloud/self-managed options | Hosted platform with enterprise and self-host/hybrid options for larger organizations |
| Rating | 4.5/5 | 4.5/5 |
Frequently asked questions
Langfuse or LangSmith: which one should you choose?
Choose Langfuse if entry budget is the priority. Choose Langfuse if perceived maturity and overall rating matter more. The final test should still be based on your repository.
Do Langfuse and LangSmith cover the same need?
Yes, they are close in category; compare limits, privacy, integration and suggestion quality.
How can teams run a fair test?
Use the same ticket, same repository and same data constraints, then measure saved time, errors, diff quality and monthly cost.