Arize AIEnterprise
An ML and LLM observability platform for monitoring model and agent performance, detecting drift, and tracing failures in production.
Analytics comparison
Arize AI vs Comet Opik
Pricing, pros, cons, and ideal use cases — side by side.
Comet OpikFreemium
An open-source platform for LLM evaluation, tracing, and production monitoring, from the team behind the Comet ML experiment-tracking tool.
At a glance
| Arize AI | Comet Opik | |
|---|---|---|
| Pricing | EnterpriseOpen-source Phoenix is free. The Arize platform is sold via paid and enterprise plans. | FreemiumOpen-source and free to self-host. Comet offers managed and enterprise plans. |
| Category | Analytics | Analytics |
| Ideal for | Enterprises running AI in productionML and platform teamsRegulated industries needing auditable monitoring | Teams needing open-source LLM observabilityEnterprises with data-residency requirementsExisting Comet ML users |
Pros & cons
Arize AI
Pros
- Purpose-built for AI observability at scale
- Drift and performance-degradation detection
- Open-source Phoenix as a lighter on-ramp
- Strong fit for regulated environments
Cons
- Enterprise platform pricing is a commitment
- Most valuable once you have real production volume
- Setup is an engineering project
Comet Opik
Pros
- Open-source tracing, evals, and monitoring
- Backed by an established ML tooling company
- Self-hostable for data residency
- Built-in and custom evaluation metrics
Cons
- Crowded category with strong alternatives
- Self-hosting adds operational work
- Choice often comes down to ecosystem fit
Which should you choose?
Comet Opik is the lighter-weight option (Freemium), while Arize AI sits higher on the pricing ladder (Enterprise). Arize AI is built around enterprises running ai in production; Comet Opik leans more toward teams needing open-source llm observability. Shortlist the one whose strengths line up with your biggest constraint.