Arize AI vs LangSmith

Arize AI is an LLM observability and evaluation platform designed for enterprises running AI agents and LLM applications at scale. Its flagship product, Arize AX, provides real-time monitoring, agent tracing, prompt management, online evaluations using LLM-as-a-Judge, and drift detection across NLP, computer vision, and multimodal models. The company also maintains Arize Phoenix, a widely adopted open-source AI observability library built on OpenTelemetry/OpenInference standards.

LangSmith is an LLM observability platform that provides tracing, monitoring, and evaluation for AI agents and LLM applications. It offers native tracing for agent frameworks, cost and latency tracking, online LLM-as-judge evals, custom dashboards, and alerts via webhooks or PagerDuty. Framework-agnostic with SDKs for Python, TypeScript, Go, Java, and OpenTelemetry support, it works with OpenAI, Anthropic, LlamaIndex, and custom stacks. Typical buyers are engineering teams building production LLM apps needing visibility into agent behavior, debugging failures, and performance optimization. Enterprise plans include self-hosted and BYOC options for data residency.LangSmith homepage Pricing