v0 vs Figma Make: A Detailed Comparison

Pick v0 if you want working app code that lives in GitHub and ships to the web through Vercel. Pick Figma Make if your team already designs in Figma and wants clickable, functional prototypes built from those designs. v0 leans toward developers, founders and product people who want a real codebase. Figma Make leans toward designers who want to test an idea fast without leaving Figma.

Both tools turn a text prompt into a working interface, so the choice is less about the AI and more about where your work lives afterward. This comparison reflects the official v0 pages and Figma developer docs as read on 13 October 2026. Both products change often, so treat plan details as a snapshot and check them before you pay.

Related reading: Figma Make, Lovable vs v0, and Lovable vs Bolt. Key terms used in this guide: model context protocol and generative AI.

What v0 and Figma Make are

What is v0?

v0 is made by Vercel. Its documentation describes it as an AI agent for building real code and full-stack apps. You describe an idea in plain language, add screenshots or mockups if you have them, and v0 writes the code and shows a live preview. The same page lists product managers, designers, engineers, marketers and founders as target users, with examples like landing pages, dashboards and online stores.

Under the hood, v0 defaults to Next.js and can connect to databases such as Supabase, Neon and Upstash through the Vercel Marketplace. In plain terms, it can build the screens and the parts that store data and handle logins, not just a pretty mockup.

What is Figma Make?

Figma Make is Figma’s prompt to app tool. It sits inside the Figma product family, next to the design editor that many teams already use. Vercel’s own comparison page, last reviewed 28 July 2026, describes Figma Make as a tool that creates and edits functional prototypes and web apps and publishes them to the live web. Keep in mind that this summary comes from a competitor, so confirm details in Figma’s help center.

Figma’s developer documentation shows how Make connects to the rest of a product team. The Figma MCP server can retrieve Make resources and pass that code to an AI coding agent as context, which helps when a prototype needs to become a production app.

Side-by-Side Comparison Table

The v0 rows come from the v0 GitHub guide, the full-stack apps guide and the v0 pricing page. The Make rows on backend, GitHub and publishing come from Vercel’s comparison table. Figma’s plan names and seat types come from its developer docs on MCP access, which list Starter, Professional, Organization and Enterprise plans with View, Collab, Dev and Full seats.

Key differences that matter in practice

Who each tool is really for

The biggest difference is where each tool starts. v0 starts from code. Even when you give it a design, its job is to produce a project you can keep editing, version in GitHub and deploy. Figma Make starts from design. It is strongest when the source of truth is a Figma file and the goal is to feel how a flow works before anyone commits to building it.

So the two can look alike in a demo and feel very different a week later. A designer in Make stays in a familiar space, while a developer in v0 gets branches, previews and pull requests.

Outputs and code export

In v0, the Code tab is a full editor, and the FAQ says you can export the code to work locally or edit it directly in v0. Once you connect GitHub, the repository becomes the source of truth: v0 creates a working branch for each chat and opens pull requests against the base branch you pick.

Figma Make can also send code to GitHub, but Vercel’s comparison describes it as a one-way push to a repository that Make creates, on the default branch, with no syncing back. If a developer edits that repo, those edits do not flow back into Make. For a throwaway prototype this is fine. For a product you plan to maintain, it means someone must pick one home for the code and stick to it.

Design system support

v0 offers Design Systems 2.0, which saves your design system as a reusable skill. You point v0 at a GitHub repository, a real app that uses your components, Storybook or docs links, and Figma frames. v0 then builds a starter app to check that it understands your system. The docs say that if v0 cannot verify a component, prop or token from your sources, it should not use it.

v0 can also read Figma files directly. Its Figma integration reads pages and frames, variables and styles, auto layout, text, assets and component names. That integration is listed for paid v0 plans only, which matters if you hoped to test it on the Free plan.

Figma Make works inside Figma’s own ecosystem, so your libraries and components are already close at hand. For handoff, Figma’s MCP server lets an AI coding agent fetch files from a Make project and reuse existing code components, so the prototype’s behavior and styles can move into your real codebase.

Pricing and credits as of October 2026

v0 publishes its prices on the v0 pricing page, in US dollars and before tax:

• Free: $0 per month, with a limit of 7 messages per day and $5 in one-time credits for new users.
• Plus: $30 per user per month, with $30 of included monthly credits per user and $2 of free daily credits on login.
• Business: $100 per user per month, with the same credits plus training opt-out by default.
• Enterprise: custom pricing.

The v0 pricing docs explain how credits behave. Generation pauses when credits run out, unused monthly credits roll over and expire after 65 days, and the older $20 Premium plan is closed to new users. Model costs vary, so a long chat on a large model uses credits faster than a short one.

Figma sells access by plan and seat type, so the cost of Make depends on which seat you hold. Figma’s pricing page shows which seats include Make and how much AI usage each one gets, so check the exact seat you would buy, not just the plan name. Verify current pricing on both official sites before you subscribe, because AI plan details change often.

Decision criteria

Use these five questions to make the call in a few minutes:

1. Where does your work live today? If your designs and team libraries are in Figma, Make fits your daily habits. If your product lives in a GitHub repo, v0 fits better.
2. What do you need at the end? A prototype to test with users or stakeholders points to Make. An app you will maintain and deploy points to v0.
3. Who will touch the code? If nobody on the team reads code, Make keeps things visual. If a developer will review changes, v0’s branches and pull requests give them a clear review path.
4. Do you need a real backend? Both connect to Supabase, but v0 lists more database options and server logic.
5. How do you want to pay? v0 charges per user, with usage measured in credits. Figma charges by plan and seat type. Compare the seat you need, not the cheapest plan.

Which tool is better for beginners?

For a beginner, familiarity decides. If you have used Figma, Make opens inside a tool you know. With no design or code background, v0 may be easier to start, because the Free plan lets you type a prompt and see a result with no setup. Expect a learning curve either way. Writing clear prompts, checking results and fixing small errors are skills you build with practice, not settings you switch on.

When to choose each option

Choose v0 when

• You need a working app with logins, data and an API, not only screens.
• A developer will review the code through GitHub pull requests.
• You already deploy on Vercel or want one-click publishing there.
• Your company has a coded design system you want the AI to follow.

Hypothetical example: a small online bakery owner wants an order form that saves requests to a database. She describes the form in v0, connects a database through the Marketplace, and asks a freelance developer to review the pull request before it goes live. The code sits in her own GitHub repository, so she can hand it to any developer; Vercel says it does not own generated code, though output can resemble other code, which is one more reason for the review.

Choose Figma Make when

• Your team designs in Figma and wants to test how a flow feels.
• You need a quick, clickable prototype for a stakeholder meeting or a user test.
• The designer, not a developer, will drive most changes.
• You want the prototype close to your Figma files and comments.

Hypothetical example: a product designer at a travel startup has a new booking flow in Figma. She opens Make, attaches the screens, and asks for a working prototype that remembers the chosen dates between steps. At the next review, the team clicks through a working flow instead of guessing from static frames.

Using both

Some teams use both: a designer explores in Make, then a developer rebuilds the chosen flow as production code, in v0 or with a coding agent that reads the Make project through Figma’s MCP server. Decide early which tool owns the final code, so two versions do not drift apart.

Tradeoffs and caveats

Neither tool removes the need for human review. Vercel’s terms say you are responsible for checking AI output for correctness and fitness for your use case, and the same terms require users to be at least 16. Figma’s terms allow Figma AI features, including Make, only for users 18 or older. Treat every generated app as a draft until someone has tested it.

Common mistakes and how to avoid them:

• Building in both tools at once. Pick one home for the code.
• Skipping security basics. Never paste passwords, card numbers, ID documents or customer records into prompts, and keep secrets in environment variables, not in chat.
• Ignoring data training settings. The v0 FAQ says prompts may be used to improve models unless you are on Enterprise or have opted out, so check your settings before sharing client work.
• Expecting free plans to cover real projects. v0 Free has a daily message cap and no Figma import, and Figma’s lower tiers have their own limits, so budget for a paid seat if the project matters.
• Skipping an access test. Before launch, test with two separate accounts to confirm one user cannot see another’s data.
• Forgetting rate limits. Figma’s MCP access depends on your plan and seat, with the Starter plan capped at 20 tool calls per month.

Next step

Start small. Build one simple screen, such as a sign-up form, in the tool that matches your answers above. Note what you had to fix, and only then commit to a paid plan.

If you want a calmer way to build the underlying skills, such as prompt writing and checking AI output, guided practice helps. Coursiv focuses on the whole product, course, app and platform experience: short, bite-sized AI lessons you can follow at your own pace. Explore Coursiv AI lessons and come back to v0 or Figma Make with prompts that get better results on the first try.

Related guides: AI for UX designers and Canva Code.

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