Galileo vs Promptfoo
Detailed side-by-side comparison to help you choose the right tool
Galileo
🔴DeveloperAI Evaluation
Galileo review 2026: enterprise AI evals, observability, guardrails, and Luna evaluator models for RAG and agents — features, pricing, pros, cons.
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CustomPromptfoo
🔴DeveloperAI Evaluation
Open-source CLI and library for testing, evaluating, and red-teaming LLM prompts, models, and RAG pipelines — runs locally on your machine or in CI.
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FreeFeature Comparison
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Galileo - Pros & Cons
Pros
- ✓Luna evaluators are dramatically cheaper than LLM-as-judge — eval coverage can stay on in production
- ✓End-to-end coverage: evals + traces + guardrails + agent root-cause from one vendor
- ✓Strong enterprise compliance posture (VPC, audit, SSO) suitable for regulated industries
Cons
- ✗No public pricing — every conversation starts with sales, which slows POC adoption
- ✗Heavier and more opinionated than open-source [/tools/langfuse](/tools/langfuse) or [/tools/arize-phoenix](/tools/arize-phoenix) — early-stage teams may find it overkill
- ✗Luna evaluators are proprietary — verify quality on your domain before assuming they replace LLM-judge in your stack
Promptfoo - Pros & Cons
Pros
- ✓Covers 6 product areas listed on the website: Red Teaming, Guardrails, Model Security, MCP Proxy, Code Scanning, and Evaluations.
- ✓Community plan is described as Free Forever and includes local or self-hosted operation, all LLM evaluation features, vulnerability scanning, and red teaming up to 10k probes per month.
- ✓Useful beyond prompt testing because it includes real-time guardrail positioning, model security monitoring, MCP Proxy protection, and IDE/CI/CD code scanning for LLM vulnerabilities.
- ✓Strong fit for regulated workflows because the website names 4 industry solution areas: Financial Services, Insurance, Telecommunications, and Real Estate.
- ✓Supports development workflows where evaluations and red-team checks can run before merge or release instead of relying only on post-deployment monitoring.
- ✓The site displays a public 20.6k metric alongside its open-source and community positioning, indicating substantial visible adoption or repository activity.
Cons
- ✗Public paid pricing is quote-based: Enterprise and On-Premise are listed as Custom rather than fixed monthly or annual prices.
- ✗The product surface is broad, so teams that only need simple prompt regression tests may find the security, guardrails, MCP proxy, and model-security positioning more than they need.
- ✗Red-teaming and evaluation quality still depend on well-designed test cases, assertions, graders, and representative datasets.
- ✗The website emphasizes development-time and security testing more than production observability, so teams may still need a tracing or monitoring platform alongside Promptfoo.
- ✗Enterprise suitability is clear, but self-serve details such as exact paid seat limits, usage caps beyond Community red-team probes, hosted data retention, and final contract terms are not visible in the public pricing content.
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