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SPECIFICTION
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Arize Phoenix vs SUPERWISE

Arize Phoenix

arize.com

SUPERWISE

superwise.ai

Side by side

FigureArize PhoenixSUPERWISE
Price fromFree$9/mo
Free planYesYes
Free trial—Yes
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
APIYesYes
Self-hostedYesYes
Plans published112
Spec score · Machine Learning Model Monitoring Software8.0 (#8)8.6 (#5)
Spec score · Model Monitoring Software8.1 (#16)8.6 (#9)
DeploymentPhoenix can run locally or be self-hosted using Docker, Kubernetes, or a cloud environment.Sentinel gateways can run with Docker, Helm, Kubernetes, Windows, or managed containers on AWS, Google Cloud and Azure.
IntegrationsDocumented integrations include frameworks and providers such as LlamaIndex, LangChain, DSPy, OpenAI, Bedrock, and Anthropic.The platform connects through REST APIs, the superwise-api SDK and Flowise external-agent registration.
PurposePhoenix helps teams trace, evaluate, debug, and improve AI applications.SUPERWISE AMP is an AI governance control plane between AI applications and models that observes interactions and enforces policies.
SupportThe Phoenix documentation points users to a Slack community for questions and developer discussion.The Enterprise Chat tier includes dedicated support with an SLA and custom contracts and volume pricing.

Plans

Arize Phoenix

  • PhoenixFree

Arize Phoenix pricing →

SUPERWISE

  • Chat SoloFree
  • Chat Professional$9 a month
  • Sentinel Solo$10 a month
  • Solo$10 a month
  • Pro$25 a month
  • Sentinel Pro$25 a month
  • Chat Business$49 a month
  • Business$50 a month
  • Sentinel Business$50 a month
  • Chat Business Plus$69 a month

SUPERWISE pricing →

In their own words

Arize Phoenix

Arize Phoenix is free, open-source software for tracing, evaluating, debugging, and improving AI applications. It captures model calls, retrieval, tool use, and custom logic as OpenTelemetry traces. Teams can score traces and spans with LLM evaluators, code checks, or human labels. Prompt tools provide versioning, side-by-side testing, and call replay, while dataset experiments compare evaluation results across application versions. Documented integrations include LlamaIndex, LangChain, DSPy, OpenAI, Bedrock, and Anthropic, plus evaluation libraries such as Harbor, Ragas, Cleanlab, and MLflow. Phoenix runs locally or can be self-hosted with Docker, Kubernetes, or a cloud environment; Arize says self-hosting keeps traces in the user’s environment. Self-hosted authentication supports OAuth2 identity providers with an OpenID Connect well-known endpoint. The Phoenix plan costs nothing and leaves trace spans, ingestion, projects, and retention under user management. The project is ELv2 licensed and built by Arize AI and the open-source community.

Visit arize.com

SUPERWISE

SUPERWISE AMP is an AI governance platform that sits between AI applications and models to observe interactions and apply policies. Its guardrails evaluate inputs and outputs, with policy evaluation advertised as taking under 10 ms. Agent Studio supports building, testing, and deploying agents, with governance and automated failure detection. The platform monitors operational health and drift and offers analytics, dashboards, audit trails, compliance reports, and metrics for model performance, data quality, and bias. SUPERWISE says it connects to 50+ providers, vector databases, and enterprise tools, including OpenAI, Anthropic, AWS Bedrock, LangChain, Pinecone, Snowflake, Salesforce, and Slack. It provides REST API and Python SDK access. AMP is managed SaaS by default, with connections to private, on-premises, and air-gapped environments. Sentinel inspects prompts locally and redacts secrets and personal data before they leave the machine; traffic does not pass through SUPERWISE. Plans start at $10/mo, with a 30-day trial and no free plan.

Visit superwise.ai