Head-to-head · AI LLM Evaluation Tools
Arize Phoenix vs Promptfoo
Arize Phoenix leads on 0 checks, Promptfoo on 0, and 1 is even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreArize Phoenix · 9.3/10
- Free planboth
Arize Phoenix scores higher on our rubric for ai llm evaluation tools: 9.3 against 9.2 out of 10; our editors rank them #2 and #3.
Arize Phoenix is the better fit for teams wanting broad open-source evaluation observability. Promptfoo is the better fit for teams prioritizing testing and red teaming.
- Arize Phoenix fits best
Teams wanting broad open-source evaluation observability
- Promptfoo fits best
Teams prioritizing testing and red teaming
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Side by side
| Feature | Arize Phoenix 9.3/10 Visit ↗ | Promptfoo 9.2/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.3 | 9.2 |
| Ranking | #2 in AI LLM Evaluation Tools | #3 in AI LLM Evaluation Tools |
| Best for | Teams wanting broad open-source evaluation observability | Teams prioritizing testing and red teaming |
| Pricing model | Free | Free plan + paid |
| Starting price | Free | — |
| Free plan | ✓ | ✓ |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Platforms | Web | Web |
| Support | Community, Docs | Community, Docs |
| Integrations | 11 integrations | 12 integrations |
| Built for | Solo, Small business, Mid-market, Enterprise | Solo, Small business, Mid-market, Enterprise |
| Features Arize Phoenix 0/3 · Promptfoo 0/3 | ||
| Safety evaluations | Not checked yet | 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 |
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| Cons |
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| Our verdict | 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 → |
Promptfoo is an open-source CLI and library for evaluating, testing, and red-teaming large-language-model applications. It is designed for teams benchmarking prompts, models, and RAG pipelines, as well as developers checking AI quality,… Read the review → |
Strengths and trade-offs
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
Promptfoo — where it wins
- Evaluates prompts, models, RAG pipelines, safety, and vulnerabilities
- Supports custom metrics, human review, and LLM-as-a-judge grading
- Connects with major providers, CI tools, observability, and MCP
Where it doesn't
- Enterprise and On-Premise plans use custom pricing
- Team collaboration and continuous monitoring require Enterprise
- Dedicated deployment engineering is limited to On-Premise
- Arize Phoenix9.3/10 · Free plan
A free, open-source toolkit covering traces, evaluations, prompts, datasets, and costs.
Visit Arize PhoenixFull verdict → - Promptfoo9.2/10 · Free plan
A broad evaluation and security toolkit for teams testing AI systems in development.
Visit PromptfooFull verdict →
More comparisons
- DeepEval vs Arize Phoenix
- Arize Phoenix vs Braintrust
- Arize Phoenix vs Confident AI
- Promptfoo vs LangSmith
- Promptfoo vs Opik
- Promptfoo vs Langfuse
All AI LLM evaluation tools comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update







