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Testing · head to head

Applitools vs GrowthBook

Applitools logo

Applitools

Testing

AI-based visual regression testing, priced on component and page checkpoint volume

From
On request
Rated
-
Full reviewWebsite
GrowthBook logo

GrowthBook

Testing

Open source feature flags and A/B testing that run experiment analysis inside your own data warehouse

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only GrowthBook has a free tier, so it costs nothing to try first.
  • Each has a real cost: Applitools the entry tier alone costs 667 US dollars a month on annual billing, a genuinely high floor compared to Percy's tiers or a plain screenshot-diffing open source approach.; GrowthBook warehouse-native analysis is only an advantage if you have a warehouse with clean event data in it; without one, GrowthBook has nothing to compute against and you are back to buying an event-collecting platform.
  • They diverge on capability: Applitools covers Visual AI comparison, GrowthBook covers Feature flags.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Applitools and GrowthBook actually diverge.

Attributes where Applitools and GrowthBook differ
AttributeApplitoolsGrowthBook
Starting priceOn requestFree
Pricing modelPer month by checkpoint volumePer user per month
Free tierNoYes
PlatformsWeb, iOS, AndroidWeb, Self-hosted, Docker

Identical on both: user rating (Not yet rated), category (Testing).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Applitools

  • Visual AI comparison
  • Storybook component testing
  • Figma design comparison
  • Cross-browser and device visual testing
  • Accessibility testing
  • NLP-based test authoring

Only in GrowthBook

  • Feature flags
  • Warehouse-native analysis
  • Reusable metric definitions
  • Bayesian and frequentist engines
  • CUPED variance reduction
  • Visual editor
  • Self-hosting
  • Guardrail metrics

What people use each for

The jobs each tool is most often brought in to do.

Applitools

  • A team that abandoned pixel-diffing visual regression testing because of false-positive fatigue and wants a lower-noise alternativenot GrowthBook
  • A design system team wanting component-level visual testing against Storybook rather than only full-page checksnot GrowthBook
  • An organisation wanting automated verification that shipped UI matches its Figma source designnot GrowthBook
  • A team wanting NLP-based visual test authoring to reduce the coding overhead of writing visual test scripts, available at Professional tiernot GrowthBook

GrowthBook

  • An engineering team that wants feature flags without a per-monthly-active-user bill that grows with product successnot Applitools
  • A data team that needs experiment results to reconcile exactly with the metrics reported in its BI toolnot Applitools
  • A company with data residency or privacy constraints that cannot send user-level event data to a third-party vendornot Applitools
  • Running long-tail experiments where sequential testing and CUPED shorten the time to a decision on low-traffic surfacesnot Applitools

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Applitools

  • The entry tier alone costs 667 US dollars a month on annual billing, a genuinely high floor compared to Percy's tiers or a plain screenshot-diffing open source approach.
  • Professional and Enterprise tiers, which hold the more advanced authoring and unlimited execution features, are quote-only, removing pricing transparency exactly where a large buyer most needs it.
  • Visual AI still occasionally flags false positives on genuinely novel layouts or animation-heavy interfaces, so a baseline review process is still needed, not eliminated.
  • Checkpoint-based pricing means cost is directly tied to test suite size and coverage breadth, so expanding visual test coverage has a direct, compounding cost impact unlike time-based or seat-based pricing models.
  • Teams migrating from a simpler pixel-diffing tool face real setup and baseline migration work to establish Applitools baselines correctly across a large existing UI.

GrowthBook

  • Warehouse-native analysis is only an advantage if you have a warehouse with clean event data in it; without one, GrowthBook has nothing to compute against and you are back to buying an event-collecting platform.
  • Metrics are SQL, so a marketing or product team without data engineering support cannot define or fix them, and a badly written metric silently produces a confident wrong answer.
  • Cloud Pro bills per seat and then adds CDN request and bandwidth overages, so a high-traffic site can find the variable component exceeds the seat cost it budgeted for.
  • Self-hosting means you own the Mongo database, the SDK endpoint availability and the upgrade path, and a flag service that is down is a production incident, not an analytics inconvenience.
  • The statistics engine exposes real choices, Bayesian versus frequentist, sequential testing, variance reduction, and the tool will not stop a team that configures them wrongly, so it rewards statistical literacy and punishes its absence.

Pricing, plan by plan

Applitools

On request
  • Starter$667/month
    • Billed annually
    • 100,000 component checkpoints or 1,000 page checkpoints
    • Visual AI, Storybook and Figma integration, accessibility testing
  • Professional$undefined/month
    • Custom quote, starting around 150 active pages or 1,500 components
    • Unlimited executions, NLP-based test authoring
    • Priority support with a dedicated Slack channel
  • Enterprise$undefined/year
    • Custom quote, starting around 350 active pages or 1,500 components
    • SSO and dedicated or private cloud
    • Custom SLAs and a weekly account manager

GrowthBook

Free
  • Open source (self-hosted)Free
    • Unlimited users, feature flags and experiments
    • One project
    • MIT licensed, you run the infrastructure
  • Starter (cloud)Free
    • Up to 3 users
    • 1 project
    • Unlimited flags, experiments and traffic
  • Pro (cloud)$40/month
    • Per seat, up to 50 users
    • 3 projects
    • CDN overage at $10 per million requests beyond the included allowance
  • Enterprise$undefined/year
    • Unlimited users and projects
    • SSO, audit logs and advanced permissions
    • Available on cloud or self-hosted

Which should you pick?

Choose Applitools if

  • You need visual ai comparison.
  • You work on Web, iOS, Android.
  • You also want storybook component testing.
Applitools review

Choose GrowthBook if

  • You need feature flags.
  • You want to start without paying.
  • You work on Web, Self-hosted, Docker.
  • You also want warehouse-native analysis.
GrowthBook review

Questions people ask

Is Applitools or GrowthBook better?
Neither clearly leads. Applitools starts at On request and GrowthBook at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Applitools or GrowthBook?
GrowthBook has a free tier; the other does not. Paid plans start at On request for Applitools and Free for GrowthBook.
Does Applitools or GrowthBook run on more platforms?
Applitools runs on Web, iOS, Android. GrowthBook runs on Web, Self-hosted, Docker.
Can I use GrowthBook for free?
Yes. GrowthBook has a free tier, so you can try it without paying. Applitools starts at On request.
What is Applitools best used for?
Applitools is most often used for a team that abandoned pixel-diffing visual regression testing because of false-positive fatigue and wants a lower-noise alternative, a design system team wanting component-level visual testing against storybook rather than only full-page checks, an organisation wanting automated verification that shipped ui matches its figma source design, a team wanting nlp-based visual test authoring to reduce the coding overhead of writing visual test scripts, available at professional tier. Of those, a team that abandoned pixel-diffing visual regression testing because of false-positive fatigue and wants a lower-noise alternative and a design system team wanting component-level visual testing against storybook rather than only full-page checks are not what GrowthBook is typically brought in for.
What can Applitools do that GrowthBook cannot?
Applitools covers Visual AI comparison, Storybook component testing, Figma design comparison, Cross-browser and device visual testing. GrowthBook covers Feature flags, Warehouse-native analysis, Reusable metric definitions, Bayesian and frequentist engines.

Answered from the vendors’ own pages

Applitools: How is Applitools priced?

By checkpoint volume, component or page-level screenshot comparisons, with the entry Starter tier at 667 US dollars a month for 100,000 component or 1,000 page checkpoints.

GrowthBook: Is the self-hosted version actually usable, or crippled?

It is genuinely usable: unlimited users, flags and experiments on one project under an MIT licence. The paid tiers add multiple projects, SSO, audit logs and support.

Applitools: How is it different from Percy?

Applitools uses an AI-based perceptual comparison model designed to reduce false positives from rendering noise; Percy is generally pixel-diffing based and lower cost per screenshot.

GrowthBook: Do I need a data warehouse?

For experiment analysis, effectively yes. Feature flagging works without one, but the reason to choose GrowthBook over a flag-only tool is the warehouse-native statistics.

Applitools: Does it test individual components or only full pages?

Both; Storybook integration allows component-level visual testing in addition to full-page checks.

GrowthBook: How does the cost compare with LaunchDarkly or Optimizely?

GrowthBook charges per seat rather than per monthly active user or per tracked event, so cost stops scaling with traffic. At high volume that difference is large.

GrowthBook: Does it support mobile and server-side flags?

Yes, there are SDKs across JavaScript, React, Python, Go, Ruby, PHP, Java, Kotlin, Swift and more, covering client, server and mobile evaluation.

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