Decision guide · Reviewed Sep 23, 2026 · AI Image & Design, AI UI & Product Design

Figma Make
75.6
Whimsical AI
75.8Choose Figma Make when you need design and product teams wanting to create interactive, code-backed prototypes grounded in their Figma design systems.. Choose Whimsical AI when you need product and engineering teams needing to quickly outline user flows, technical architectures, and low-fidelity interface layouts from written specifications.
At a glance
The practical differences
| Decision factor | Figma Make | Whimsical AI |
|---|---|---|
| Best for | design and product teams wanting to create interactive, code-backed prototypes grounded in their Figma design systems. | product and engineering teams needing to quickly outline user flows, technical architectures, and low-fidelity interface layouts from written specifications |
| Not ideal for | teams not using Figma or those needing completely independent, self-hosted web builders without Figma seat structures. | teams requiring high-fidelity vector UI assets, advanced graphic design typography controls, or fully interactive code-backed prototypes |
| Pricing | At the review date (September 2026), Figma Make access is tied to Figma's plans and shared AI credits. The free Starter tier provides 150 AI credits/day up to 500 credits/month. Paid Full seats start at $16/month on Professional ($55/month on Organization, $90/month on Enterprise billed annually) and include higher monthly AI credit pools. Standalone subscriptions are not offered; check figma.com/pricing for current seat rules. | At the review date in September 2026, Whimsical offers a Free plan with 10 AI credits per member and 50 board objects/month. Paid tiers are Pro ($10/month/editor billed annually) and Business ($20/month/editor billed annually). Additional AI credits can be purchased separately. Verify current terms on the official pricing page. |
| Key difference | Figma Make generates code-backed, functional applications grounded directly in your Figma canvas context, design system libraries, and npm packages, allowing two-way transfer between design layers and code. | Whimsical AI blends structured text-to-diagram generation with native support for the Model Context Protocol (MCP), enabling teams to create and modify diagrams directly from external tools like Claude, Cursor, and ChatGPT. |
| Overall rank | #283 | #261 |
| Review verdict | Figma Make suits product teams and designers who want to produce interactive, code-backed prototypes using their existing design systems and canvas assets. It is less suited for non-Figma workflows or teams seeking a pure no-code static site builder. | Whimsical AI is well suited for product managers, system architects, and UX teams that need to quickly turn conceptual notes into editable flowcharts, wireflows, and mind maps. It is less suitable for teams looking for high-fidelity finished UI designs or production-ready code outputs. |
Whimsical AI score factors
Figma Make strengths
- Native grounding in Figma design context, styles, and team component libraries
- Generates functional, code-backed web apps rather than just static image mockups
- Allows two-way workflows by copying generated elements back as canvas design layers
- Model Context Protocol (MCP) connectivity to external docs and tracking tools
- Native Supabase integration for backend authentication and storage
Whimsical AI strengths
- Native generation of both structured logic (flowcharts/mind maps) and UI layouts (wireframes).
- Model Context Protocol (MCP) integration allows generation directly from Cursor, Claude, and ChatGPT.
- Unlimited viewers and guests are supported across all tiers, including the Free tier.
- SOC 2 Type II compliant infrastructure with support for SAML SSO and SCIM on Business plans.
Frequently asked
Figma Make vs Whimsical AI
Should I choose Figma Make or Whimsical AI?+
Choose Figma Make when you need design and product teams wanting to create interactive, code-backed prototypes grounded in their Figma design systems.. Choose Whimsical AI when you need product and engineering teams needing to quickly outline user flows, technical architectures, and low-fidelity interface layouts from written specifications. ToolsRank scores Figma Make 75.6 and Whimsical AI 75.8; the gap reflects editorial quality, utility, trust, and freshness, not popularity or payment.
Is Figma Make cheaper than Whimsical AI?+
Figma Make: At the review date (September 2026), Figma Make access is tied to Figma's plans and shared AI credits. The free Starter tier provides 150 AI credits/day up to 500 credits/month. Paid Full seats start at $16/month on Professional ($55/month on Organization, $90/month on Enterprise billed annually) and include higher monthly AI credit pools. Standalone subscriptions are not offered; check figma.com/pricing for current seat rules. Whimsical AI: At the review date in September 2026, Whimsical offers a Free plan with 10 AI credits per member and 50 board objects/month. Paid tiers are Pro ($10/month/editor billed annually) and Business ($20/month/editor billed annually). Additional AI credits can be purchased separately. Verify current terms on the official pricing page. Compare the plan you would actually use and verify current prices on each vendor's pricing page before purchasing.
Which is better for ai image & design?+
Whimsical AI currently scores higher for ai image & design work. Figma Make remains the stronger pick when your priority is design and product teams wanting to create interactive, code-backed prototypes grounded in their Figma design systems.. Avoid Whimsical AI if you are teams requiring high-fidelity vector UI assets, advanced graphic design typography controls, or fully interactive code-backed prototypes.
Can I use Figma Make and Whimsical AI together?+
Yes. Figma Make stands out for figma Make generates code-backed, functional applications grounded directly in your Figma canvas context, design system libraries, and npm packages, allowing two-way transfer between design layers and code. Whimsical AI stands out for whimsical AI blends structured text-to-diagram generation with native support for the Model Context Protocol (MCP), enabling teams to create and modify diagrams directly from external tools like Claude, Cursor, and ChatGPT. Pairing them makes sense when one workflow needs both strengths; otherwise pick the tool that matches your primary job.