Laminar vs LangSmith
Both are observability & tracing tools. Here is how they actually differ on price, billing model and deployment.
Laminar
An open-source, OpenTelemetry-native tracing and eval platform for AI agents, written in Rust. The only tool here you can self-host in full - but its billing unit, "Signals" measured in tokens spent reading traces, is genuinely hard to forecast.
LangSmith
LangChain's proprietary observability and eval platform. Turnkey and deeply integrated with LangChain and LangGraph - but closed-source, and the trace bill explodes at production scale.
| Laminar | LangSmith | |
|---|---|---|
| Category | Observability & Tracing | Observability & Tracing |
| Our rating | 4/5 | 3/5 |
| Starting price | $30/mo | $39/seat/mo |
| Billing meter | span | seat |
| Free plan | Yes | Yes |
| Free self-hosting | Yes, free | No or paid tier only |
| Best for | Teams building AI agents - especially browser agents - who want OpenTelemetry-native tracing they can self-host completely and don't mind an unusual billing model | Teams already all-in on LangChain and LangGraph who want the tightest-integrated observability and don't mind the bill |
Our verdict on Laminar
Laminar is the one platform here you can genuinely self-host end to end, and for a browser-agent or long-running-agent stack it's the most purpose-built option, with real credibility from OTel's co-creator as an angel and Browser Use documenting it as their integration. Two honest reservations. It's the youngest and smallest, and its billing - data GB plus Signals measured in tokens spent reading traces - is the hardest to forecast in the category. Self-host is the escape hatch from the billing puzzle, but the exact feature gap versus cloud isn't clearly documented, so verify it before you commit.
Full Laminar review →Our verdict on LangSmith
The most turnkey observability platform if you already live in LangChain and LangGraph - the tracing is zero-config and the eval tooling is genuinely good. But it's closed source, self-hosting is Enterprise-only, and the trace bill is roughly 25x Langfuse at scale. It's great until you scale or want out, and you can't self-host your way around either problem.
Full LangSmith review →Frequently Asked Questions
What is the main difference between Laminar and LangSmith?
Laminar: Teams building AI agents - especially browser agents - who want OpenTelemetry-native tracing they can self-host completely and don't mind an unusual billing model LangSmith: Teams already all-in on LangChain and LangGraph who want the tightest-integrated observability and don't mind the bill Both sit in Observability & Tracing, so the decision usually comes down to billing model and deployment rather than raw capability.
Which is cheaper, Laminar or LangSmith?
It depends entirely on your workload shape, because they meter differently - Laminar bills on span and LangSmith bills on seat. Published starting prices are $30/mo and $39/seat/mo respectively, but those numbers are not comparable until you apply them to the same traffic. Use our cost calculator to model both against your own request volume and span count.
Can I self-host Laminar or LangSmith?
Laminar: Yes, free. LangSmith: No or paid tier only. Free self-hosting means no licence fee, not no cost - you still own the infrastructure, upgrades and on-call.