Production observability platform for ML and LLM systems. By 2026, Arize is a leading independent option for monitoring model drift, hallucination rates, and ag
Arize is the enterprise observability platform for ML and LLM systems: tracing, drift and performance monitoring, LLM evals at production scale, and root-cause tooling, plus open-source Phoenix for the same workflow locally. It's where AI estates get instrumented like critical infrastructure.
Pricing: Phoenix open-source free; Arize platform freemium with usage/volume-based enterprise tiers (published pricing, mid-2026).
LangSmith excels in-framework for LangChain teams; Arize positions estate-wide (any framework, ML + LLM) with enterprise monitoring depth. Many run Phoenix locally and graduate to platform.
Arize's open-source observability/eval library: tracing, eval runs, and dataset workflows you can self-host, the standard free starting point for LLM observability.