📖 The AI Tool Bible

Arize AI vs LangSmith

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 
Arize AI
Evaluation
LangSmith
Evaluation
TaglineEnterprise observability and evaluation platform for LLM agents and generative AI applications.LangChain's eval + observability platform.
CategoryEvaluationEvaluation
PricingFreemium· Free tier and OSS Phoenix; paid/enterprise tiers via salesFreemium· Free starter; Plus $39/mo per seat
ModelMulti-modelPlatform (any LLM)
Editorial score—8.7 / 10
Use cases
llm-observabilityagent-evaluationrag-tracingprompt-testingproduction-monitoring
LLM tracingevalsLangChain integration
Pros
  • Strong open-source story via Phoenix and OpenInference
  • Span/trace/session-level evals tuned for agentic workflows
  • Scales to trillions of spans with enterprise compliance (SOC 2, HIPAA, GDPR)
  • Broad framework coverage: LangGraph, LangChain, CrewAI, OpenAI, Anthropic
  • Self-hosted option for regulated deployments
  • Tight LangChain integration
  • Strong tracing UX
  • Mature dataset/eval flows
  • Reasonable per-seat pricing
Cons
  • Public pricing is opaque; serious usage means a sales call
  • Feature surface is heavy for solo developers or hobby projects
  • Best value assumes you've standardized on OpenInference tracing
  • Best value if you're on LangChain
  • UI can feel dense
Websitearize.comwww.langchain.com
Pick Arize AI if
  • ✅ Strong open-source story via Phoenix and OpenInference
  • ✅ Span/trace/session-level evals tuned for agentic workflows
  • ✅ Scales to trillions of spans with enterprise compliance (SOC 2, HIPAA, GDPR)
  • ✅ Broad framework coverage: LangGraph, LangChain, CrewAI, OpenAI, Anthropic
Pick LangSmith if
  • ✅ Tight LangChain integration
  • ✅ Strong tracing UX
  • ✅ Mature dataset/eval flows
  • ✅ Reasonable per-seat pricing
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