UXPin vs Figma Make
Detailed side-by-side comparison to help you choose the right tool
UXPin
Design
Code-based UX/UI design and prototyping platform that lets designers and developers build fully interactive prototypes using real React, Storybook, and npm components through its Merge technology.
Was this helpful?
Starting Price
CustomFigma Make
Design
Figma's native generative AI design tool that turns natural-language prompts into editable UI designs, prototypes, and layouts directly inside the Figma canvas — no external plugins or exports required.
Was this helpful?
Starting Price
CustomFeature Comparison
Scroll horizontally to compare details.
UXPin - Pros & Cons
Pros
- ✓Merge technology allows designers to use real production code components (React, Storybook, Angular, Vue) directly on the canvas, ensuring design-to-code consistency
- ✓Advanced prototyping with conditional logic, variables, expressions, and API connections creates prototypes that behave like real applications
- ✓Built-in design system management with versioning, documentation, and adoption tracking provides a single source of truth for enterprise teams
- ✓Browser-based platform requires no installation and works across operating systems, reducing onboarding friction
- ✓Strong enterprise features including SSO, SAML, role-based permissions, and compliance controls meet corporate security requirements
Cons
- ✗Merge technology is restricted to Enterprise plans, making UXPin's primary differentiator inaccessible to smaller teams and freelancers
- ✗Steeper learning curve than Figma or Sketch due to the code-based approach and advanced interaction capabilities
- ✗Smaller community and plugin ecosystem compared to Figma, resulting in fewer third-party resources and templates
- ✗Free tier is too restrictive (1 prototype) to meaningfully evaluate the platform's advanced capabilities before committing to a paid plan
- ✗Performance can slow with very large prototypes containing numerous interactive states and conditional logic branches
Figma Make - Pros & Cons
Pros
- ✓Native Figma integration means generated designs are fully editable vector layers, auto-layout frames, and real components — not flattened images
- ✓Automatically applies your team's existing design system tokens, variables, and component libraries to generated outputs
- ✓No context-switching required; generate and refine designs without leaving the Figma canvas
- ✓Supports iterative prompt refinement so you can adjust layouts conversationally rather than regenerating from scratch
- ✓Seamless handoff to developers via Figma's Dev Mode, preserving accurate specs and assets
- ✓Accessible to non-designers like product managers who need to communicate UI requirements visually
Cons
- ✗Generation quality depends heavily on prompt specificity; vague prompts can produce generic or off-brand layouts
- ✗AI generation quotas on lower-tier plans may feel restrictive for teams doing heavy ideation work
- ✗Currently limited to Figma's ecosystem — outputs cannot be natively exported to Sketch, Adobe XD, or other design tools without conversion
- ✗Complex multi-state interactions and advanced prototyping logic still require manual design work after generation
- ✗Design system adherence, while improving, can occasionally miss edge cases in large or loosely structured component libraries
Not sure which to pick?
🎯 Take our quiz →🦞
🔔
Price Drop Alerts
Get notified when AI tools lower their prices
Get weekly AI agent tool insights
Comparisons, new tool launches, and expert recommendations delivered to your inbox.