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Figma Make vs Lovable

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Entry price
Figma Make from $16/seat/mo, Lovable from $25/mo — different billing units, so no direct winner
Free plan
Both have one
Higher Trust score
Figma Make — 96 vs 81 for Lovable
Best fit
Figma Make: Product designers turning existing Figma frames into interactive prototypes with real data · Lovable: Founders and designers shipping a working prototype without a developer
Platforms
Figma Make: Web, macOS, Windows · Lovable: Web

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

Side by side

FactFigma MakeLovable
CategoryUI/UX Design & PrototypingVibe Coding & App Generators
Pricing modelFreemiumFreemium
Starts at$16/seat/mo$25/mo
Trust score96 / 10081 / 100
PlatformsWeb, macOS, WindowsWeb
CompanyFigma, Inc.Lovable
Launched20252023
Last verifiedSep 6, 2026Sep 6, 2026

What our research says

Figma Make

If your team already designs in Figma, Make is the shortest path from a frame to something clickable with real data, and the generated prototype keeps the file's styles instead of reinventing them. It is not a replacement for Lovable or Bolt when the goal is a deployable product: hosting and a production path are still arriving, and the credit meter is shared with every other AI feature on the seat. Designers validating flows will get the most out of it; engineers wanting a repo to ship will wait for local-codebase mode.

Pros

  • Starts from your own frames and design tokens, so output matches the design file
  • Code is exposed and editable, and the result can be copied back to the canvas
  • Attachments, voice prompts, MCP connectors and a Payload CMS come built in
  • No separate subscription - it rides on a Full seat you may already pay for

Cons

  • AI credits are shared across all of Figma's AI features on the seat, so heavy Make use eats the monthly pool
  • Local-codebase and production shipping are 'coming soon', not here
  • Requires the $16 Full seat; cheaper Dev and Collab seats are not listed as including it
  • Pricing page does not state Make access or limits for the free Starter plan

Lovable

The cleanest prompt-to-app experience for someone who cannot write React, and GitHub sync means you are not locked in — but 100 credits a month is less runway than it sounds once the app gets real.

Pros

  • Live preview after each change keeps iteration legible to non-developers
  • GitHub sync and Supabase mean the output is real, portable code
  • The free tier is enough to find out whether the idea works
  • Per-action credit costs are published, so estimating is possible

Cons

  • Free tier caps at 30 credits a month regardless of the daily grant
  • Debugging a bad generation can cost more credits than the original build
  • Opinionated stack — React front end, Supabase back end, little room to differ
  • No API for driving builds programmatically

Which one fits

Choose Figma Make if you need

  • Product designers turning existing Figma frames into interactive prototypes with real data
  • Teams that want generated UI to inherit their design system through Make kits
  • Stakeholder demos where a clickable build beats a static mock

Choose Lovable if you need

  • Founders and designers shipping a working prototype without a developer
  • Anyone who wants generated code exported to GitHub rather than held hostage
  • Small internal tools needing authentication and a database on day one

Figma Make vs Lovable: the questions people ask

Is Figma Make cheaper than Lovable?

They charge in different units, so there is no like-for-like answer: Figma Make starts at $16/seat/mo, Lovable at $25/mo. Entry price is the lowest paid plan as we last verified it.

Does Figma Make or Lovable have a free tier?

Both: Figma Make has a free tier, and Lovable has a free tier.

All Figma Make alternatives →All Lovable alternatives →Browse all UI/UX Design & Prototyping →