OpenLLMetry vs LangSmith: Which is Better in 2026?
Choosing between OpenLLMetry and LangSmith comes down to understanding what each tool does best. This comparison breaks down the key differences so you can make an informed decision based on your specific needs, not marketing claims.
Bottom line: LangSmith is our overall pick for AI agents workflows. Pick OpenLLMetry if you need DevOps.
Short on time? Here's the quick answer
We've tested both tools. Here's who should pick what:
OpenLLMetry
Open-source observability for LLMs using OpenTelemetry.
Best for you if:
- • You need DevOps features specifically
- • Open-source observability for LLMs.
- • Uses OpenTelemetry for standardized data.
LangSmith
Debug, monitor, and optimize your LLM applications and AI agents with comprehensive observability.
Best for you if:
- • You need AI agents features specifically
- • Debug LLM applications with detailed agent tracing.
- • Monitor key business metrics with live dashboards and alerts.
| At a Glance |  OpenLLMetry |  LangSmith |
|---|---|---|
Starts at | Contact us/moEnterprise | Free tier + paid plansFree tier available |
Best For | DevOps | AI Agents |
Rating | - | - |
Choose OpenLLMetry or LangSmith?
Choose OpenLLMetry if
Open-source observability for LLMs using OpenTelemetry.
- Leverages open standards (OpenTelemetry)
- Easy integration with minimal code changes
- Supports both Python and TypeScript/Node.js
- Your work is DevOps-shaped, not AI agents-shaped
Choose LangSmith if
Debug, monitor, and optimize your LLM applications and AI agents with comprehensive observability.
- Provides deep visibility into non-deterministic LLM behavior
- Helps improve application performance and response quality
- Offers comprehensive monitoring and alerting capabilities
- Your work is AI agents-shaped, not DevOps-shaped
| Feature | OpenLLMetry | LangSmith |
|---|---|---|
| Pricing Model | Freemium | Freemium |
| User Rating | No ratings yet | No ratings yet |
| Categories | DevOpsAnalytics | AI AgentsDeveloper Tools |
In-Depth Analysis
OpenLLMetry
Open-source observability for LLMs using OpenTelemetry.
Strengths
- +Leverages open standards (OpenTelemetry)
- +Easy integration with minimal code changes
- +Supports both Python and TypeScript/Node.js
- +Provides visibility into LLM application workflows
- +Vendor-neutral for data export
Weaknesses
- -Requires an OpenTelemetry backend for full visualization
- -Limited information on advanced features or customization options from the provided content
Key features
LangSmith
Debug, monitor, and optimize your LLM applications and AI agents with comprehensive observability.
Strengths
- +Provides deep visibility into non-deterministic LLM behavior
- +Helps improve application performance and response quality
- +Offers comprehensive monitoring and alerting capabilities
- +Identifies systemic issues and user needs automatically
- +Flexible integration with various frameworks and OTel
Weaknesses
- -Specific pricing details require visiting a separate page
- -Self-hosting is only available on the enterprise plan
- -Requires some setup (e.g., environment variables) to get started
Key features
Pricing: OpenLLMetry vs LangSmith
| Plan | OpenLLMetry | LangSmith |
|---|---|---|
| Tier 1 | $0 / mo Free Forever | N/A |
| Tier 2 | Contact us Enterprise | N/A |
Pricing verified from each vendor's public pricing page. Compare in detail on OpenLLMetry pricing and LangSmith pricing.
Who Should Use What?
On a budget?
Both are freemium. Compare plans on their websites.
Go with: OpenLLMetry
Want the highest-rated option?
Neither has user reviews yet.
Go with: OpenLLMetry
Value user reviews?
Neither has user reviews yet.
Go with: LangSmith
3 Questions to Help You Decide
What's your budget?
Both are freemium. Pricing won't help you decide here.
What's your use case?
OpenLLMetry is a DevOps tool. LangSmith is in AI agents. Pick the category that matches your needs.
How important are ratings?
Neither has user reviews yet.
Key Takeaways
LangSmith
- Free tier available
- Our pick for this comparison
OpenLLMetry
- Better fit for DevOps
The Bottom Line
LangSmith is our pick.
Frequently Asked Questions
Is OpenLLMetry or LangSmith better?
LangSmith is rated in our evaluation. Both are freemium.
What are OpenLLMetry and LangSmith used for?
OpenLLMetry: Open-source observability for LLMs using OpenTelemetry.. LangSmith: Debug, monitor, and optimize your LLM applications and AI agents with comprehensive observability..
What does OpenLLMetry cost vs LangSmith?
OpenLLMetry is freemium (free tier + paid plans). LangSmith is freemium (free tier + paid plans). Visit their websites for detailed pricing.