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Head-to-head · AI LLM Evaluation Tools

DeepEval vs Arize Phoenix

  • Updated Oct 2026
  • Both researched from official sources
  • 2 checks side by side
Higher score DeepEval #1 in AI LLM Evaluation Tools 9.4/10 Free plan Free plan✓ 1 of 3 features Visit DeepEval
Arize Phoenix #2 in AI LLM Evaluation Tools 9.3/10 Free plan Free plan✓ 0 of 3 features Visit Arize Phoenix

DeepEval leads on 0 checks, Arize Phoenix on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreDeepEval · 9.4/10
  • Free planboth
  • Most featuresDeepEval · 1 of 3

DeepEval scores higher on our rubric for ai llm evaluation tools: 9.4 against 9.3 out of 10; our editors rank them #1 and #2.

DeepEval is the better fit for teams needing deep, code-first LLM testing. Arize Phoenix is the better fit for teams wanting broad open-source evaluation observability.

  • DeepEval fits best

    Teams needing deep, code-first LLM testing

  • Arize Phoenix fits best

    Teams wanting broad open-source evaluation observability

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature DeepEval 9.4/10 Visit ↗ Arize Phoenix 9.3/10 Visit ↗
At a glance
Editor score 9.4 9.3
Ranking #1 in AI LLM Evaluation Tools #2 in AI LLM Evaluation Tools
Best for Teams needing deep, code-first LLM testing Teams wanting broad open-source evaluation observability
Pricing model Free Free
Starting price Free plan Free
Free plan ✓ ✓
Free trial — —
Deployment Self-hosted Cloud, Self-hosted
Support Community, Docs Community, Docs
Integrations 20 integrations 11 integrations
Built for Solo, Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features DeepEval 1/3 · Arize Phoenix 0/3
Safety evaluations ✓ (best) Not checked yet
Prompt versioning Not checked yet Not checked yet
API access Not checked yet Not checked yet
Specs
Evaluation methods Not checked yet Not checked yet
Model support Not checked yet Not checked yet
Deployment Not checked yet Not checked yet
Our review
Pros
  • Pytest-style testing with multiple evaluation methods
  • Agent, tool-call, trace, span, and safety evaluations
  • Python and TypeScript SDKs with broad framework integrations
  • Free, open-source platform with local and self-hosted deployment
  • Traces model calls, retrieval, tool use, and custom application logic
  • Combines evaluations, prompts, datasets, experiments, and cost tracking
Cons
  • The core product is self-hosted rather than a managed workspace
  • Requires code-based workflows for evaluation and CI/CD testing
  • Shared reports and production monitoring are optional cloud capabilities
  • Requires instrumentation through OpenTelemetry or OpenInference
  • Its wide feature set may exceed the needs of narrow evaluation workflows
  • The listed Phoenix plan does not offer tiered pricing or feature levels
Our verdict

DeepEval is an open-source framework for evaluating AI applications, agents, RAG pipelines, chatbots, and MCP systems. It is designed for teams that want code-first testing in Python or TypeScript, with pytest-style unit tests and…

Read the review →

Arize Phoenix is an open-source observability and evaluation platform for AI applications and agents. It is designed for teams that need to inspect model calls, retrieval, tool use, and custom logic while evaluating application quality.…

Read the review →
  1. DeepEvalAI LLM Evaluation Tools 9.4Free plan
  2. Arize PhoenixAI LLM Evaluation Tools 9.3Free plan

Strengths and trade-offs

  • DeepEval — where it wins

    • Pytest-style testing with multiple evaluation methods
    • Agent, tool-call, trace, span, and safety evaluations
    • Python and TypeScript SDKs with broad framework integrations

    Where it doesn't

    • The core product is self-hosted rather than a managed workspace
    • Requires code-based workflows for evaluation and CI/CD testing
    • Shared reports and production monitoring are optional cloud capabilities
  • Arize Phoenix — where it wins

    • Free, open-source platform with local and self-hosted deployment
    • Traces model calls, retrieval, tool use, and custom application logic
    • Combines evaluations, prompts, datasets, experiments, and cost tracking

    Where it doesn't

    • Requires instrumentation through OpenTelemetry or OpenInference
    • Its wide feature set may exceed the needs of narrow evaluation workflows
    • The listed Phoenix plan does not offer tiered pricing or feature levels

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update