Arthur vs LangSmith
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
Arthur Evaluation | LangSmith Evaluation | |
|---|---|---|
| Tagline | Open-source toolkit for testing, tracing, and monitoring production AI agents. | LangChain's eval + observability platform. |
| Category | Evaluation | Evaluation |
| Pricing | Freemium· Open-source (MIT) + free SaaS tier; paid/enterprise plans on request | Freemium· Free starter; Plus $39/mo per seat |
| Model | Multi-model | Platform (any LLM) |
| Editorial score | — | 8.7 / 10 |
| Use cases | agent-evaluationprompt-managementllm-tracinghallucination-detectionprompt-injection-defense | LLM tracingevalsLangChain integration |
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| Website | arthur.ai | www.langchain.com |
Pick Arthur if
- ✅ MIT-licensed and self-hostable via Docker, Helm, or CloudFormation
- ✅ Built on OpenTelemetry so traces flow into existing observability stacks
- ✅ Framework-agnostic: works with LangChain, LlamaIndex, OpenAI, Anthropic, Vercel AI SDK
- ✅ Covers full lifecycle: prompt versioning, A/B testing, tracing, and online evals
Pick LangSmith if
- ✅ Tight LangChain integration
- ✅ Strong tracing UX
- ✅ Mature dataset/eval flows
- ✅ Reasonable per-seat pricing