Head-to-head · AI LLM Evaluation Tools
DeepEval vs 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
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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 | ||
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| Cons |
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| 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 → |
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
- DeepEval9.4/10 · Free plan
A code-first toolkit for testing LLM apps, agents, tools, safety, and regressions.
Visit DeepEvalFull verdict → - Arize Phoenix9.3/10 · Free plan
A free, open-source toolkit covering traces, evaluations, prompts, datasets, and costs.
Visit Arize PhoenixFull verdict →
More comparisons
- DeepEval vs LangSmith
- DeepEval vs Opik
- DeepEval vs Langfuse
- Arize Phoenix vs Promptfoo
- Arize Phoenix vs Braintrust
- Arize Phoenix vs Confident AI
All AI LLM evaluation tools comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update







