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LangSmith vs OpenTelemetry: Which is Better in 2026?

LLM Observability & Evals

Choosing between LangSmith and OpenTelemetry? Both are popular llm observability & evals tools. Below we compare them on pricing, free tiers, features, and pros & cons so you can pick the right fit for your stack.

Quick verdict

Both LangSmith and OpenTelemetry are strong llm observability & evals choices. The right pick comes down to your specific feature needs, existing stack, and team preferences.

LangSmith vs OpenTelemetry — Side by Side

LangSmithOpenTelemetry
CategoryLLM Observability & EvalsLLM Observability & Evals
PricingFree · paid from $39/seat/moFree
Starting priceFree tier availableFree tier available
Free tier
Rating4.54.6
Best forLLM Observability & Evals — llm, observabilityLLM Observability & Evals — observability, tracing

Pros & Cons

  • Best-in-class visibility into LangGraph and LangChain agents
  • Mature evals, datasets and annotation queues
  • Accepts OpenTelemetry traces from non-LangChain code
  • Per-seat and per-trace pricing both scale with you
  • Trace pricing has changed repeatedly, so budgets drift
  • Self-hosting requires an Enterprise contract
  • No vendor lock-in: switch backends without re-instrumenting
  • One trace spans your API, database and model calls
  • Every serious observability vendor accepts OTLP
  • Apache 2.0 licensed, CNCF governed
  • No UI, evals or prompt management of its own
  • You still have to pick and pay for (or run) a backend
  • GenAI conventions are still evolving, so attribute names can shift

Key Features Compared

LangSmith

  • 10,000 base traces / month included
  • Pay as you go beyond that
  • Unlimited seats
  • Extended 180-day retention available

OpenTelemetry

  • SDKs for every major language
  • OpenTelemetry Collector for routing and sampling
  • GenAI semantic conventions for LLM, agent and MCP spans
  • Export to any OTLP-compatible backend

Choose LangSmith if…

  • You want a free tier to validate before paying.
  • Best-in-class visibility into LangGraph and LangChain agents
  • Mature evals, datasets and annotation queues
  • Accepts OpenTelemetry traces from non-LangChain code
LangSmith review & pricing

Choose OpenTelemetry if…

  • You want a free tier to validate before paying.
  • No vendor lock-in: switch backends without re-instrumenting
  • One trace spans your API, database and model calls
  • Every serious observability vendor accepts OTLP
OpenTelemetry review & pricing

Frequently Asked Questions

Is LangSmith better than OpenTelemetry?⌄

Both LangSmith and OpenTelemetry are strong llm observability & evals choices. The right pick comes down to your specific feature needs, existing stack, and team preferences.

What is the difference between LangSmith and OpenTelemetry?⌄

LangSmith — LangChain's tracing and evaluation platform, the deepest fit for LangGraph agents. It is priced per seat plus per trace. OpenTelemetry — The vendor-neutral standard for traces, metrics and logs, with GenAI conventions that describe LLM calls, agents and MCP in one shared schema. Both are llm observability & evals tools; the comparison table above breaks down pricing, free tiers, and what each is best for.

LangSmith vs OpenTelemetry: which is cheaper?⌄

LangSmith pricing: Free · paid from $39/seat/mo. OpenTelemetry pricing: Free. Confirm current pricing on each tool's official site, as plans change.

Which is rated higher, LangSmith or OpenTelemetry?⌄

In our catalog, LangSmith rates 4.5 out of 5 and OpenTelemetry rates 4.6 out of 5, so OpenTelemetry has a slight edge on reviews.

See more options in our guide to the best llm observability & evals tools for startups.

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