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Tool change history

Figma Make changes and buying impact

Figma Make should now be budgeted as a managed AI surface rather than a fuzzy bundled perk. Teams doing heavy prototype generation need to model per-seat credits and possible add-on spend.

Tracked changes

1

Latest detected

Dec 9, 2025

High-priority

1

Affected comparisons

1

Quick answer

Figma Make should now be budgeted as a managed AI surface rather than a fuzzy bundled perk. Teams doing heavy prototype generation need to model per-seat credits and possible add-on spend.

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Evidence status

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Last verified: Aug 10, 20261 official source
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Compare Lovable vs Figma MakeCalculate Figma Make team costs

Timeline

Changes that can affect the buying call

Pricing, feature, limit, and policy changes are interpreted for rollout, renewal, and shortlist decisions.

Dec 9, 2025mediumlimit changeUpdate

Figma formalized AI credit tracking and extra purchase paths for Figma Make usage

Figma's December 9, 2025 update made AI credit usage more explicit and introduced clearer additional-credit purchasing paths ahead of full-seat credit enforcement.

Buyer impact: Figma Make should now be budgeted as a managed AI surface rather than a fuzzy bundled perk. Teams doing heavy prototype generation need to model per-seat credits and possible add-on spend.

Lovable vs Figma Make

Next reads

Comparisons connected to this tool

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PricingFigma Make pricing guideFigma's public pricing starts with Starter at free limited access. Professional Full seats are listed at $16/month, Organization Full at $55/month when billed annually, and Enterprise Full at $90/month when billed annually, with AI credit allowances scaling by plan.CompareLovable vs Figma MakeFigma Make has become more buying-relevant as it moved into general availability, added embeds and stronger MCP-context plumbing, and formalized AI-credit purchasing. Lovable still wins when shared workspace economics and internal publish are the real decision drivers.BestBest AI app builders by delivery modelUse this list to choose an AI app builder, not a general-purpose assistant. It weighs speed from prompt to deployed product, collaboration in the build flow, and how much operational setup the team can absorb before the budget case breaks.