Comet OpikFreemium
An open-source platform for LLM evaluation, tracing, and production monitoring, from the team behind the Comet ML experiment-tracking tool.
Analytics comparison
Comet Opik vs LangSmith
Pricing, pros, cons, and ideal use cases — side by side.
LangSmithFreemium
An observability and evaluation platform for LLM and agent applications — tracing, datasets, automated evals, and production monitoring in one place.
At a glance
| Comet Opik | LangSmith | |
|---|---|---|
| Pricing | FreemiumOpen-source and free to self-host. Comet offers managed and enterprise plans. | FreemiumFree developer tier. Paid Plus and Enterprise plans add seats, longer trace retention, and deployment options. |
| Category | Analytics | Analytics |
| Ideal for | Teams needing open-source LLM observabilityEnterprises with data-residency requirementsExisting Comet ML users | Teams running agents in productionEnterprises needing eval and monitoringEngineering orgs standardizing AI observability |
Pros & cons
Comet Opik
Pros
- Open-source tracing, evals, and monitoring
- Backed by an established ML tooling company
- Self-hostable for data residency
- Built-in and custom evaluation metrics
Cons
- Crowded category with strong alternatives
- Self-hosting adds operational work
- Choice often comes down to ecosystem fit
LangSmith
Pros
- End-to-end tracing for complex agent runs
- Datasets and automated evals in CI
- Production monitoring for quality and cost
- Framework-agnostic
Cons
- Most seamless within the LangChain ecosystem
- Trace volume can drive cost at scale
- Eval design is still real work
Which should you choose?
Comet Opik is built around teams needing open-source llm observability; LangSmith leans more toward teams running agents in production. Shortlist the one whose strengths line up with your biggest constraint.