Testing · head to head
Applitools vs Split

Applitools
Testing
AI-based visual regression testing, priced on component and page checkpoint volume
- From
- On request
- Rated
- -

Split
Testing
Feature flags tied to a metrics pipeline that attributes production impact to each release, now Harness FME
- From
- On request
- Rated
- -
The short version
- 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.; Split split is now a module of the Harness platform and split.io redirects to harness.io, so buying it means entering a Harness commercial relationship rather than a standalone flag vendor contract.
- They diverge on capability: Applitools covers Visual AI comparison, Split covers Feature flags with targeting.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Applitools and Split actually diverge.
| Attribute | Applitools | Split |
|---|---|---|
| Pricing model | Per month by checkpoint volume | quote |
| Platforms | Web, iOS, Android | Web, API, iOS, Android, Java, Node.js, Python, Go, .NET |
Identical on both: starting price (On request), free tier (No), 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 Split
- Feature flags with targeting
- Metrics impact engine
- Guardrail metrics
- Statistical significance testing
- Event ingestion
- SDKs and streaming updates
- Audit and approvals
- Harness platform integration
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 Split
- A design system team wanting component-level visual testing against Storybook rather than only full-page checksnot Split
- An organisation wanting automated verification that shipped UI matches its Figma source designnot Split
- A team wanting NLP-based visual test authoring to reduce the coding overhead of writing visual test scripts, available at Professional tiernot Split
Split
- A product organisation that wants every release measured against conversion and latency by default, not only deliberate experimentsnot Applitools
- Running A/B tests with real statistical significance rather than comparing two dashboard linesnot Applitools
- Catching a regression at five per cent rollout because a guardrail metric fires before the change reaches everyonenot Applitools
- A team already committed to Harness for CI and CD that wants flags in the same platform and contractnot 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.
Split
- Split is now a module of the Harness platform and split.io redirects to harness.io, so buying it means entering a Harness commercial relationship rather than a standalone flag vendor contract.
- Harness no longer publishes per-module prices, so an organisation that wants only feature management cannot get a list price and must negotiate a module out of a platform bundle.
- The measurement engine needs traffic volume to reach significance, so a product with modest usage gets flags with an experimentation layer it will rarely be able to conclude anything from.
- Metric attribution depends on correctly instrumented events flowing into Split, which is an integration project in its own right; without it you have paid for an experimentation platform and are using it as a flag switch.
- As part of a larger DevOps suite the roadmap now competes with CI, CD, security and cloud cost modules for attention, so feature management is no longer the company’s single focus the way it was as an independent product.
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$undefined/year
- Custom quote, starting around 350 active pages or 1,500 components
- SSO and dedicated or private cloud
- Custom SLAs and a weekly account manager
Split
On request- Harness FreeFree
- Harness Open Source and community support
- Intended for individuals and small teams
- Feature management capability limited at this tier
- Harness Essentials$undefined/year
- Bundled DevOps modules including CI, CD, IaC and security testing
- Standard support
- Pricing requires contacting sales
- Harness Enterprise$undefined/year
- Mix and match from 15 or more modules including Feature Management and Experimentation
- Premier support with a dedicated account manager
- Higher pipeline concurrency and organisation limits
Which should you pick?
Choose Applitools if
- You need visual ai comparison.
- You work on Web, iOS, Android.
- You also want storybook component testing.
Choose Split if
- You need feature flags with targeting.
- You work on Web, API, iOS, Android, Java, Node.js, Python, Go, .NET.
- You also want metrics impact engine.
Questions people ask
- Is Applitools or Split better?
- Neither clearly leads. Applitools starts at On request and Split at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Applitools or Split?
- Applitools starts at On request and Split at On request.
- Does Applitools or Split run on more platforms?
- Applitools runs on Web, iOS, Android. Split runs on Web, API, iOS, Android, Java, Node.js, Python, Go, .NET.
- 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 Split is typically brought in for.
- What can Applitools do that Split cannot?
- Applitools covers Visual AI comparison, Storybook component testing, Figma design comparison, Cross-browser and device visual testing. Split covers Feature flags with targeting, Metrics impact engine, Guardrail metrics, Statistical significance testing.
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.
Split: Is Split still called Split?
It is now sold as Harness Feature Management and Experimentation after the Harness acquisition, and split.io redirects to harness.io.
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.
Split: Can I buy just feature flags?
Not from a price list. Harness publishes bundle tiers and directs single-module buyers to sales.
Applitools: Does it test individual components or only full pages?
Both; Storybook integration allows component-level visual testing in addition to full-page checks.
Split: What does it do that a plain flag service does not?
It attributes changes in your product metrics to specific flags with statistical significance testing and alerts on guardrail metrics.
Split: Do we need a lot of traffic?
Yes. Statistical tests need volume to conclude, so low-traffic products get limited value from the measurement layer.
Related pages
Other head to heads
- Applitools vs Percy
- Applitools vs Cypress
- Applitools vs Playwright
- Applitools vs Sauce Labs
- Applitools vs TestRail
- Applitools vs PractiTest
- Applitools vs Robot Framework
- Applitools vs Cucumber
- Applitools vs Selenium
- Applitools vs BugHerd
- Applitools vs Katalon
- Applitools vs pytest
- Applitools vs Testsigma
- Applitools vs Vitest
- Applitools vs Detox
- Applitools vs Eppo
- Applitools vs GrowthBook
- Applitools vs Kameleoon
- Applitools vs QA Wolf
- Applitools vs BrowserStack
- Applitools vs CircleCI
- Split vs Percy
- Split vs Cypress
- Split vs Playwright
- Split vs Sauce Labs
- Split vs TestRail
- Split vs PractiTest
- Split vs Robot Framework
- Split vs Cucumber
- Split vs Selenium
- Split vs BugHerd
- Split vs Katalon
- Split vs pytest
- Split vs Testsigma
- Split vs Vitest
- Split vs Detox
- Split vs Eppo
- Split vs GrowthBook
- Split vs Kameleoon
- Split vs QA Wolf
- Split vs BrowserStack
- Split vs CircleCI
