Arize Phoenix vs LangSmith
Detailed side-by-side comparison to help you choose the right tool
Arize Phoenix
🟡Low CodeAI observability
Arize Phoenix provides open-source tracing, evaluations, and MCP tooling for ai observability workflows. It includes MCP compatibility.
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Starting Price
FreeLangSmith
🔴DeveloperAI Observability
LangSmith is LangChain's commercial observability, evaluation and prompt management platform for LLM apps and agents in production.
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Starting Price
FreeFeature Comparison
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Arize Phoenix - Pros & Cons
Pros
- ✓Open-source and self-hostable
- ✓Trace timelines expose intermediate failures
- ✓AX Free includes 25,000 monthly spans
- ✓Datasets support regression testing
Cons
- ✗Instrumentation and evaluator design require engineering
- ✗Pro includes only 50,000 spans and 30-day retention
- ✗Self-hosting shifts operations to the user
- ✗Unredacted traces can capture sensitive data
LangSmith - Pros & Cons
Pros
- ✓Best-in-class integration if you already use LangChain or LangGraph.
- ✓Eval suites are practical enough to actually gate releases on, not just dashboards.
- ✓Self-hosted Enterprise tier covers SOC 2 and regulated environments.
Cons
- ✗Per-trace pricing on Plus surprises teams that scale production traffic quickly.
- ✗Non-LangChain stacks work but trade ergonomic polish for SDK overhead.
- ✗Some eval features require additional LLM spend on top of the platform fee.
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