Compare Arize AI and Opik side by side. Both are tools in the Observability, Prompts & Evals category.
Updated March 10, 2026
Choose Arize AI if built on OpenTelemetry standards ensuring interoperability and avoiding vendor lock-in.
Choose Opik if production-ready.
Want to compare Arize AI and Opik on your own traffic?
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 250+ models through one gateway. Free tier covers 10K traces per month. Setup in 5 minutes, no credit card.
| Category | Observability, Prompts & Evals | Observability, Prompts & Evals |
| Pricing | Freemium | — |
| Best For | ML teams who need comprehensive observability spanning traditional ML models and LLM applications | — |
| Website | arize.com | comet.com |
| Key Features |
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| Use Cases |
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Arize AI is a unified LLM observability and agent evaluation platform designed for AI application development and production management. The platform enables teams to build, observe, and improve AI systems through integrated development and production capabilities. Built on OpenTelemetry standards and open-source principles, Arize features 'adb,' a proprietary datastore optimized for generative AI workloads with real-time ingestion and sub-second query capabilities. The platform includes an agent framework for building and debugging AI agents, comprehensive tracing for full visibility into LLM application flows, automated evaluators with custom evaluation models, and Alyx, an AI engineering agent that assists with debugging and development. Arize offers experiment testing and optimization capabilities, production monitoring and alerting, a prompt playground for optimization, and data annotation tools. With impressive scale processing 1 trillion spans, 50 million evaluations per month, and 5 million monthly downloads of Phoenix OSS, Arize serves notable clients including DoorDash, Instacart, Reddit, Roblox, Uber, and Booking.com.
AI platform providing comprehensive solutions for enterprise applications. The platform provides essential capabilities for modern AI applications with focus on scalability and reliability.
Tools for monitoring LLM applications in production, managing and versioning prompts, and evaluating model outputs. Includes tracing, logging, cost tracking, prompt engineering platforms, automated evaluation frameworks, and human annotation workflows.
Browse all Observability, Prompts & Evalstools →One platform for routing, observability, tracing, and evals across every LLM provider.