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Find the right AI tool in 2 minutes. Independent reviews and honest comparisons of 890+ AI tools.

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Promptfoo: Free vs Paid — Is the Free Plan Enough?

⚡ Quick Verdict

Stay free if you only need basic features. Upgrade if you need advanced features. Most solo builders can start free.

Try Free Plan →Compare Plans ↓

Who Should Stay Free vs Who Should Upgrade

👤

Stay Free If You're...

  • ✓Individual user
  • ✓Basic needs only
  • ✓Personal projects
  • ✓Getting started
  • ✓Budget-conscious
👤

Upgrade If You're...

  • ✓Business professional
  • ✓Advanced features needed
  • ✓Team collaboration
  • ✓Higher usage limits
  • ✓Premium support

What Users Say About Promptfoo

👍 What Users Love

  • ✓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.

👎 Common Concerns

  • ⚠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.

Frequently Asked Questions

What is Promptfoo used for?

Promptfoo is used to test and evaluate AI applications before they reach users. The public documentation describes it as an open-source CLI and library for evaluating and red-teaming LLM apps, and the website lists products for evaluations, red teaming, guardrails, model security, MCP proxy protection, and code scanning. In practice, this means teams can compare prompts and models, test RAG factuality, look for jailbreak risks, and scan LLM application code as part of development or CI/CD.

Is Promptfoo open source?

Yes. Promptfoo’s documentation describes it as an open-source CLI and library, and the public pricing page lists a Community plan as Free Forever. The Community plan includes core evaluation and vulnerability-scanning workflows, local or self-hosted operation, all listed model providers and integrations, and red teaming up to 10k probes per month. The same pricing page also lists Enterprise and On-Premise paid options with custom pricing.

How is Promptfoo different from LangSmith or Braintrust?

Promptfoo is more focused on systematic testing, red-teaming, and AI security checks during development, while tools such as LangSmith and Braintrust are often selected for tracing, observability, experiment tracking, or evaluation management. Promptfoo’s website lists Red Teaming, Guardrails, Model Security, MCP Proxy, Code Scanning, and Evaluations as separate product areas, which gives it a stronger security-testing orientation. Choose Promptfoo when you need adversarial testing and CI-friendly regression checks around LLM applications.

Can Promptfoo help with regulated AI applications?

Yes, the website explicitly lists industry solutions for Financial Services, Insurance, Telecommunications, and Real Estate. It mentions examples such as FINRA-aligned security testing, policyholder data and coverage accuracy, voice and text AI agent security, and fair housing compliance testing. Those examples suggest Promptfoo is aimed at teams that need evidence-driven testing around compliance, safety, and business-specific failure modes. Teams should still validate whether the enterprise deployment, audit, and contract terms meet their own regulatory requirements.

Does Promptfoo provide real-time protection or only offline evaluation?

The website presents both evaluation and protection-oriented products. Evaluations cover prompt, model, and RAG testing, while Guardrails are described as real-time protection against jailbreaks and adversarial attacks. The site also lists an MCP Proxy for securing Model Context Protocol communications and Code Scanning for finding LLM vulnerabilities in IDE and CI/CD. That combination means Promptfoo can support pre-deployment testing and some runtime protection use cases, although production observability may still require a separate tracing or monitoring tool.

How much does Promptfoo cost?

Promptfoo’s public pricing page lists Community as Free Forever at $0/month, Enterprise as Custom, and On-Premise as Custom. Community includes all LLM evaluation features, all model providers and integrations, red teaming up to 10k probes per month, local or self-hosted operation, vulnerability scanning, and community support. Enterprise and On-Premise do not publish exact monthly or annual prices, billing periods, paid seat limits, minimum contract terms, standard usage caps, or automatic upgrade thresholds; teams must contact sales for a quote and final conversion terms.

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Last verified March 2026