LangSmith vs Langfuse: LLM observability for teams
Reviewed by Marcus Webb
Updated May 29, 2026
Quick Comparison
| LangSmith | Langfuse | |
|---|---|---|
| Best For | LangChain‑centric dev teams or enterprises wanting managed observability | Startups or teams preferring self‑hosted, vendor‑agnostic observability |
| Pricing | Free tier available / custom pricing | Free tier available / custom pricing |
| Winner | Our Pick |
Tool Breakdown
Overall Winner
LangSmith
Best for teams already on LangChain needing turnkey observability and minimal ops
What it does well
- Deep LangChain integration
- Unified dashboard for traces and tests
- No self‑hosting required
Watch out for
- Limited advanced features for non‑LangChain frameworks
- Custom pricing can be opaque
Best For
LangChain‑centric dev teams or enterprises wanting managed observability
Pricing
Free tier available / custom pricing
Langfuse
Open‑source platform offering real‑time LLM logs, latency metrics, and cheap ClickHouse backend.
What it does well
- Full control over data
- Scalable ClickHouse storage
- Community‑driven plugins
Watch out for
- Self‑hosting and ops overhead
- UI less polished than LangSmith
Best For
Startups or teams preferring self‑hosted, vendor‑agnostic observability
Pricing
Free tier available / custom pricing
Frequently Asked Questions
Does LangSmith work with frameworks other than LangChain? +
Yes, basic tracing works everywhere, but deep features only for LangChain.
Is Langfuse truly free for production? +
Core platform open source free; hosting and ClickHouse costs still apply.
How hard is it to switch from Langfuse to LangSmith? +
Switch needs log export and SDK re‑instrumentation; doable but not trivial.