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📖 The AI Tool Bible

OpenAI Evals vs Promptfoo

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

OpenAI Evals logo
OpenAI Evals
Evaluation
Promptfoo logo
Promptfoo
Evaluation
Tagline
OpenAI Evals
OpenAI's open-source framework for benchmarking LLMs against a shared registry of evaluations.
Promptfoo
Open-source eval and red-teaming framework for LLM apps, prompts, and RAG pipelines.
Pricing
OpenAI Evals
Free· Free (MIT); you pay OpenAI API costs for eval runs
Promptfoo
Freemium· Community: Free · Enterprise: Custom · On-Premise: Custom
Free trial
OpenAI Evals
Yes
Promptfoo
Yes
API
OpenAI Evals
Not listed
Promptfoo
Yes
Platforms
OpenAI Evals
cli
Promptfoo
cliapi
Open source
OpenAI Evals
Yes · NOASSERTION
Promptfoo
Yes · NOASSERTION
GitHub stars
OpenAI Evals
19,524
checked 2026-09-29
Promptfoo
22,865
checked 2026-09-29
Last GitHub push
OpenAI Evals
2026-04-14
Promptfoo
2026-08-28
First commit
OpenAI Evals
2023-01
Promptfoo
2024-05
Company
OpenAI Evals
OpenAI
Promptfoo
OpenAI
Model used
OpenAI Evals
OpenAI GPT models (extensible)
Promptfoo
Multi-model
Best for
OpenAI Evals
Pick OpenAI Evals if you want a free, code-first, reproducible eval harness for GPT-based systems with a large registry of ready-made benchmarks.
Promptfoo
Pick Promptfoo if you ship LLM features to production and want versioned evals, regression tests, and automated red-teaming in CI.
Not for
OpenAI Evals
Skip it if you want a polished hosted dashboard, non-OpenAI-first provider support, or a no-code eval workflow for PMs.
Promptfoo
Skip it if you just need a chat playground or a no-code prompt comparison tool with zero setup.
Editorial score
OpenAI Evals
8.1 / 10
Promptfoo
7.2 / 10
Use cases
OpenAI Evals
llm-benchmarkingregression-testingmodel-graded-evalprompt-evaluationcustom-evals
Promptfoo
llm-evalsred-teamingprompt-regressionrag-testingai-securityci-cd-guardrails
Pros
OpenAI Evals
  • Large public registry of ready-to-run evals
  • MIT-licensed and fully open source
  • Supports basic, model-graded, and custom evals
  • Canonical format many published benchmarks adopt
  • W&B and Snowflake logging out of the box
Promptfoo
  • Genuinely open source and self-hostable, not a fake-OSS funnel
  • Model-agnostic; works across OpenAI, Anthropic, local, custom APIs
  • Red-teaming covers prompt injection, jailbreaks, PII, policy violations
  • Clean CI integration with GitHub/GitLab/Jenkins for regression catching
  • Large community and Fortune-500 adoption signal staying power
Cons
OpenAI Evals
  • Registry and defaults are OpenAI-centric
  • Model-graded evals can rack up API costs fast
  • UX is CLI + YAML, no hosted dashboard
  • Less actively iterated than commercial rivals
Promptfoo
  • YAML-heavy config has a learning curve for non-engineers
  • Enterprise pricing is opaque (contact sales only)
  • Red-team scans can be slow and token-expensive at scale
Website
OpenAI Evals
github.com
Promptfoo
promptfoo.dev

Editorial score: rule-based, 0–10, from AI-assisted profile inputs (see /methodology) — not a user rating; “—” means unscored. “Not listed” means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.

Pick OpenAI Evals if
  • ✅ Large public registry of ready-to-run evals
  • ✅ MIT-licensed and fully open source
  • ✅ Supports basic, model-graded, and custom evals
  • ✅ Canonical format many published benchmarks adopt
Pick Promptfoo if
  • ✅ Genuinely open source and self-hostable, not a fake-OSS funnel
  • ✅ Model-agnostic; works across OpenAI, Anthropic, local, custom APIs
  • ✅ Red-teaming covers prompt injection, jailbreaks, PII, policy violations
  • ✅ Clean CI integration with GitHub/GitLab/Jenkins for regression catching
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