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Arize Phoenix vs DeepEval

Both stand on llm developer tools. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Arize Phoenix

Free plan APISelf-hostedWeb

Phoenix brings tracing, evaluation, prompt inspection, and dataset experiments to AI application teams. It is free and open source, with deployment choices and usage management left to users.

Visit Arize Phoenix

DeepEval

Free plan Open source APILinuxMac+3

DeepEval offers a broad toolkit for evaluating AI systems across modalities, metrics, and agent workflows. Its open-source edition is positioned for pre-production testing; enterprise collaboration and deployment options are described separately through Confident AI Evals.

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The facts

Arize PhoenixDeepEval
Free planYesYes
Open sourceNot publishedYes
Runs onAPI, Self-hosted, WebAPI, Linux, Mac, Self-hosted, Web, Windows
Lowest paid planFree or on requestStarter: $200 a month
Plans published15
MakerNot publishedNot published
Websitearize.comdeepeval.com
On llm developer tools#5 of 26#1 of 26

Arize Phoenix: what it does well

  • Traces model calls, retrieval, tool use, and custom logic.
  • Evaluations can use models, code checks, or human labels.
  • Prompt tools include versioning, comparison, and replay.
  • Runs locally or through several self-hosted options.
  • Free and open source, with user-managed usage limits.

What to know first

  • Users manage trace spans, ingestion, projects, and retention.
  • Self-hosted authentication requires a compatible OIDC endpoint.

DeepEval: what it does well

  • Pytest-native evaluations run in CI/CD
  • Lists more than 50 evaluation metrics
  • Evaluates text, images, and audio
  • Supports synthetic test data and persona simulations
  • Integrates with agent frameworks and model providers

What to know first

  • DeepEval OS is limited to pre-production testing
  • Default telemetry is sent to PostHog
  • OS results are kept in local files

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