LangSmith vs Opik

Detailed side-by-side comparison to help you choose the right tool

LangSmith

🔴Developer

Business Analytics

LangSmith lets you trace, analyze, and evaluate LLM applications and agents with deep observability into every model call, chain step, and tool invocation.

Was this helpful?

Starting Price

Free

Opik

🔴Developer

Testing & Quality

Open-source LLM observability and evaluation platform by Comet for tracing, testing, and monitoring AI applications and agentic workflows.

Was this helpful?

Starting Price

Free

Feature Comparison

Scroll horizontally to compare details.

FeatureLangSmithOpik
CategoryBusiness AnalyticsTesting & Quality
Pricing Plans8 tiers8 tiers
Starting PriceFreeFree
Key Features
  • Workflow Runtime
  • Tool and API Connectivity
  • State and Context Handling

    LangSmith - Pros & Cons

    Pros

    • Comprehensive observability with detailed trace visualization
    • Native MCP support for universal agent tool deployment
    • Generous free tier for individual developers and small projects
    • No-code Agent Builder reduces technical barriers
    • Managed deployment infrastructure with production-ready scaling
    • Strong integration with entire LangChain ecosystem

    Cons

    • Primarily designed for LangChain applications (limited framework support)
    • Steep pricing jump from Plus to Enterprise tier
    • Pay-as-you-go model can become expensive for high-volume applications
    • Enterprise features require annual contracts
    • 14-day retention on base traces may be insufficient for some use cases

    Opik - Pros & Cons

    Pros

    • Fully open-source with no feature gating — self-host with complete functionality at zero cost
    • Automated prompt optimization removes manual trial-and-error from prompt engineering
    • Built-in guardrails provide safety and compliance without external dependencies
    • CI/CD-native testing catches LLM regressions before they reach production
    • Comprehensive tracing works across LLM calls, RAG systems, and multi-agent workflows
    • Free cloud tier eliminates infrastructure management for small teams and individual developers

    Cons

    • Self-hosted deployment requires managing infrastructure (ClickHouse, Redis, etc.)
    • Enterprise pricing is not publicly listed — requires contacting sales
    • Focused on LLM applications — not designed for traditional ML model training workflows
    • Learning curve for teams new to observability and evaluation concepts

    Not sure which to pick?

    🎯 Take our quiz →

    🔒 Security & Compliance Comparison

    Scroll horizontally to compare details.

    Security FeatureLangSmithOpik
    SOC2✅ Yes
    GDPR✅ Yes
    HIPAA
    SSO✅ Yes
    Self-Hosted🔀 Hybrid
    On-Prem✅ Yes
    RBAC✅ Yes
    Audit Log✅ Yes
    Open Source❌ No
    API Key Auth✅ Yes
    Encryption at Rest✅ Yes
    Encryption in Transit✅ Yes
    Data ResidencyUS, EU
    Data Retentionconfigurable
    🦞

    New to AI tools?

    Learn how to run your first agent with OpenClaw

    🔔

    Price Drop Alerts

    Get notified when AI tools lower their prices

    Tracking 2 tools

    We only email when prices actually change. No spam, ever.

    Get weekly AI agent tool insights

    Comparisons, new tool launches, and expert recommendations delivered to your inbox.

    No spam. Unsubscribe anytime.

    Ready to Choose?

    Read the full reviews to make an informed decision