AgentOps vs Arize Phoenix
No clear leader: AgentOps (48.8) and Arize Phoenix (48.0) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
Capabilities
Feature-by-feature on the axes that matter for llm observability. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
AgentOps
A developer platform providing observability, debugging, and performance tracking for AI agents and language model applications across multiple frameworks and 400+ LLM providers.
Arize Phoenix
Phoenix provides OpenTelemetry-based instrumentation for LLM applications, AI-powered evaluation of model outputs and retrieval quality, and systematic prompt management with versioning. It supports both self-hosted and cloud deployment and integrates with major LLM frameworks and development tools.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
AgentOps
Free tier for up to 5,000 events; Pro from $40/month
- BasicFree
- Agent Agnostic SDK
- LLM Cost Tracking (400+ LLMs)
- Replay Analytics
- ProFrom $40/month
- Unlimited event limit
- Unlimited log retention
- Session and event export
- Dedicated Slack and email support
- Role-based permissioning
- EnterpriseContact sales
- SLA
- Slack Connect
- Custom SSO
- On-premise deployment
- Custom data retention policy
- +4 more
Arize Phoenix
Pricing not documented yet.
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- LlamaIndex
AgentOps
- CrewAI
- AG2 (AutoGen)
- Agno
- LangGraph
- OpenAI Agents SDK
- Langchain
- Cohere
- LiteLLM
- Llama Stack
- CamelAI
Arize Phoenix
- OpenAI
- Anthropic
- AWS Bedrock
- Vertex AI
- Claude Code
- Cursor
- OpenLLMetry
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.