LangSmith vs Langfuse: Which is Better in 2026?
Choosing between LangSmith and Langfuse 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.
Short on time? Here's the quick answer
We've tested both tools. Here's who should pick what:
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.
Langfuse
Open Source LLM Engineering Platform for debugging and improving your LLM application.
Best for you if:
- • You need developer tools features specifically
- • Provides observability, traces, and metrics for LLM applications.
- • Offers prompt management, evaluation, and annotation features.
| At a Glance | ||
|---|---|---|
Starts at | Free tier + paid plansFree tier available | $59/monthPro |
Best For | AI Agents | Developer Tools |
Rating | - | - |
Choose LangSmith or Langfuse?
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 developer tools-shaped
Choose Langfuse if
Open Source LLM Engineering Platform for debugging and improving your LLM application.
- Open source LLM observability
- Self-hostable
- Good tracing
- Your work is developer tools-shaped, not AI agents-shaped
| Feature | LangSmith | Langfuse |
|---|---|---|
| Pricing Model | Freemium | Freemium |
| User Rating | No ratings yet | No ratings yet |
| Categories | AI AgentsDeveloper Tools | Developer ToolsDebugging |
In-Depth Analysis
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
Langfuse
Open Source LLM Engineering Platform for debugging and improving your LLM application.
Strengths
- +Open source LLM observability
- +Self-hostable
- +Good tracing
- +Prompt management
- +Active development
Weaknesses
- -Newer platform
- -Documentation improving
- -Cloud features limited
- -Smaller community
- -Enterprise features developing
Key features
Pricing: LangSmith vs Langfuse
| Plan | LangSmith | Langfuse |
|---|---|---|
| Tier 1 | N/A | Free Hobby |
| Tier 2 | N/A | $59 month Pro |
| Tier 3 | N/A | $499 month Team |
| Tier 4 | N/A | Free Self-hosted |
Pricing verified from each vendor's public pricing page. Compare in detail on LangSmith pricing and Langfuse pricing.
Who Should Use What?
On a budget?
Both are freemium. Compare plans on their websites.
Go with: LangSmith
Want the highest-rated option?
Neither has user reviews yet.
Go with: LangSmith
Value user reviews?
Neither has user reviews yet.
Go with: Langfuse
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?
LangSmith is a AI agents tool. Langfuse is in developer tools. Pick the category that matches your needs.
How important are ratings?
Neither has user reviews yet.
Key Takeaways
Langfuse
- Free tier available
- Our pick for this comparison
LangSmith
- Better fit for AI agents
The Bottom Line
Langfuse is our pick.
Frequently Asked Questions
Is LangSmith or Langfuse better?
Langfuse is rated in our evaluation. Both are freemium.
What are LangSmith and Langfuse used for?
LangSmith: Debug, monitor, and optimize your LLM applications and AI agents with comprehensive observability.. Langfuse: Open Source LLM Engineering Platform for debugging and improving your LLM application..
What does LangSmith cost vs Langfuse?
LangSmith is freemium (free tier + paid plans). Langfuse is freemium (free tier + paid plans). Visit their websites for detailed pricing.