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Head to head · 2026

Evidently AI vs Qualifire

Pricing, free plans, ratings, features, pros and cons, side by side. Where one comes out ahead, we mark it.

Evidently AI

LLM-as-a-Judge evaluation with 100+ built-in metrics for hallucinations, toxicity, and PII - open-source, 7,500+ GitHub stars,…

3.7Free

Visit Evidently AI (opens Evidently AI in a new tab)

Qualifire

Guardrails, evaluation and red-teaming for LLM apps, with judge models fast enough for runtime

4.0Not listed

Visit Qualifire (opens Qualifire in a new tab)

Who comes out ahead

Based only on the facts in our directory. The right pick still depends on the job you need done.

  • Lower starting price

    Not comparable

    Not comparable: Evidently AI does not list a price

  • Free plan

    Evidently AI

    Only Evidently AI has one

  • Higher rating

    Qualifire

    3.7 against 4.0

  • Same job?

    Yes

    Both are AI Infrastructure & Agent Tooling tools

Side by side

Compared onEvidently AIQualifire
Our rating3.74.0Better
Starts atFreeNot listed
Free planYesBetterNo
CategoryAI Infrastructure & Agent ToolingAI Infrastructure & Agent Tooling
PlansFreeSee pricing
Key features
  • LLM-as-a-Judge evaluation methodology
  • 100+ built-in metrics - hallucinations, toxicity, PII detection, retrieval quality
  • Synthetic data generation for edge-case and adversarial testing
  • Continuous monitoring dashboards tracking quality drift
  • Open-source under Apache 2.0, 7,500+ GitHub stars
  • Contextual guardrails enforced in real time
  • Continuous evaluation and observability
  • Rogue agent evaluator and red-team platform
  • Small language models as runtime judges
  • AWS, Google Cloud, on-premise or SaaS deployment
Pros
  • Fully open-source (Apache 2.0) - no vendor lock-in or opaque pricing
  • Real, notable enterprise adoption (DeepL, Wise, Plaid, Databricks)
  • Covers the full lifecycle - evaluation, synthetic testing, and ongoing monitoring
  • Small judge models make runtime checking affordable
  • Pre-production red-teaming as well as live guardrails
  • On-premise deployment for regulated environments
Cons
  • Open-source self-hosting requires real technical setup and maintenance
  • No managed/hosted pricing tier detailed on the page reviewed
  • Best suited to teams with dedicated MLOps or ML infrastructure capacity
  • No pricing published anywhere
  • Headline speed and cost claims have no stated baseline
  • A guardrail layer's own failures are harder to spot than the ones it catches
CompanyEvidently AIQualifire

Prices come from each vendor's pricing page, last checked 20260826. Check the vendor before you buy.

FAQ

Questions people ask

Is Evidently AI better than Qualifire?

In our reviews Evidently AI scores 3.7 and Qualifire scores 4.0. The better pick depends on the job. Evidently AI: LLM-as-a-Judge evaluation with 100+ built-in metrics for hallucinations, toxicity, and PII - open-source, 7,500+ GitHub stars, used by DeepL, Wise, Plaid, and Databricks. Qualifire: Guardrails, evaluation and red-teaming for LLM apps, with judge models fast enough for runtime.

Which is cheaper, Evidently AI or Qualifire?

Evidently AI: free. Qualifire: see pricing.

Do Evidently AI and Qualifire have free plans?

Only Evidently AI has a free plan.

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