Langfuse vs LangSmith: pricing, quotas & features (2026)
Open-source LLM engineering platform — observability, prompts, evals
vs. LLM observability, testing & evaluation — by LangChain
Data sourced from vendor documentation · Last updated June 2026
Summary
Langfuse and LangSmith are both ai-observability platforms, addressing the same core use case with different implementation philosophies and trade-offs. Both offer a free tier, making it easy to prototype without a credit card. Langfuse's paid plans start at $29/month, lower than LangSmith's entry point at $39/month. Langfuse has a broader documented feature set (16 vs 14 features). Budget-sensitive teams will find Langfuse easier to justify early on. All pricing and quota data below is sourced from Langfuse and LangSmith's official documentation — not generated by AI or estimated.
Langfuse vs LangSmith: Comparativa de precios, cuotas y características (2026)
En esta comparativa analizamos Langfuse y LangSmith lado a lado — incluyendo precios mensuales, límites del tier gratuito, características técnicas, cuotas de uso (almacenamiento, transferencia, usuarios activos mensuales) y los interfaces de desarrollo disponibles. Todos los datos proceden de la documentación oficial de cada proveedor, no de respuestas generadas por IA.
Langfuse es una plataforma de la categoría ai-observability — Open-source LLM engineering platform — observability, prompts, evals. Ofrece 6 tiers de precio: Hobby (Cloud Free) gratuito, Self-Hosted (OSS) gratuito, Core desde $29/mes, Pro desde $199/mes. Su catálogo en Staxly documenta 16 características y 6 interfazes para desarrolladores.
LangSmith pertenece a la categoría ai-observability — LLM observability, testing & evaluation — by LangChain. Ofrece 3 tiers de precio: Developer (Free) gratuito, Plus desde $39/mes, Enterprise (personalizado). Su catálogo documenta 14 características y 6 interfazes para desarrolladores.
A continuación encontrarás los tiers de precio completos de ambas plataformas, una matriz de cuotas del tier gratuito (transferencia, almacenamiento, MAU, llamadas a la API y otros límites), el listado completo de características y los interfaces (CLI, SDKs, REST, GraphQL, MCP) disponibles para integrar cada servicio.
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Pricing tiers
Langfuse
LangSmith
Free-tier quotas head-to-head
Comparing hobby on Langfuse vs developer on LangSmith.
| Metric | Langfuse | LangSmith |
|---|---|---|
| No overlapping quota metrics for these tiers. | ||
Features
Langfuse · 16 features
- Annotation Queues — Human reviewers rate traces. Unlimited on Pro+.
- Dashboards — Aggregate metrics, cost, quality across projects.
- Datasets — Curate test sets from production traces. Run experiments.
- EU Cloud Region — GDPR-compliant hosting in EU.
- Evaluations — LLM-as-judge, manual scores, custom model-graded evaluators.
- LLM Cost Tracking — Automatic cost calculation per provider/model.
- OpenTelemetry Native — OTel SDK → Langfuse endpoint works out of box.
- Playground — Test prompts + models + variables live.
- Prompt Management — Version, tag, label prompts. Reference from code by label.
- Public API — Full REST API for ingest, query, prompt management.
- Python @observe decorator — One-line decorator to trace any function.
- Self-Hosting — Docker Compose + k8s Helm chart.
- Sessions — Group related traces (conversations, agent runs).
- Tracing — Capture every LLM call, tool call, nested span with inputs/outputs/cost.
- Users Tracking — Segment traces by user ID, track per-user cost.
- Webhooks — Subscribe to trace completion events.
LangSmith · 14 features
- Alerts — Threshold alerts on latency, cost, eval metrics.
- Annotation Queues — Human-review workflows for trace quality rating.
- Custom Dashboards — Aggregate metrics dashboards per project/tag.
- Datasets — Collect examples → use as eval sets or training data.
- Evaluations — LLM-as-judge, embedding similarity, custom Python evaluators, offline batch eval…
- LLM Tracing — Automatic trace every LLM call + tool call + chain step.
- LangChain Integration — Auto-trace any LangChain/LangGraph run with env var.
- LangGraph Integration — First-class trace + eval for LangGraph agents.
- OpenTelemetry Export — Export traces as OTLP to Datadog/Honeycomb/etc.
- Playground — Test prompts + models inline before deploying.
- Prompt Canvas — Visual prompt editor with live test + eval.
- Prompt Hub — Public + private prompt library with versioning.
- Self-Hosted (Enterprise) — Docker + k8s deployment in your infra.
- Threads + Sessions — Group traces into conversational sessions.
Developer interfaces
| Kind | Langfuse | LangSmith |
|---|---|---|
| CLI | — | LangSmith CLI |
| SDK | langfuse-js, langfuse-python | langsmith-js, langsmith-python |
| REST | Langfuse REST API | LangSmith REST API |
| MCP | Langfuse MCP Server | LangSmith MCP |
| OTHER | Langfuse Dashboard, OpenTelemetry endpoint | LangSmith Dashboard |
Key takeaways
- Both Langfuse and LangSmith offer a free tier — Langfuse ("Hobby (Cloud Free)") and LangSmith ("Developer (Free)") — with no credit card required to start.
- The entry-level paid plan is $29/month for Langfuse (Core) vs. $39/month for LangSmith (Plus).
- Langfuse has a broader documented feature set (16 features) vs. LangSmith (14 features) in Staxly's catalog.
- Developer integrations differ: only LangSmith offers CLI.
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