Lovable vs v0 by Vercel: Which AI Tool Is Better in 2026?
Lovable
AI app builder that turns a written prompt into a full-stack React, TypeScript and Supabase application with authentication, database and hosting configured.
v0 by Vercel
Agentic app builder from Vercel that turns natural-language prompts, Figma files and existing GitHub repositories into production Next.js, React and shadcn/ui code inside a sandbox runtime.
Platform Capabilities & Pricing
| Feature Matrix |  Lovable |  v0 by Vercel |
|---|---|---|
| Works with an existing repository | Two-way GitHub sync, code lives in your repo | Sandbox imports any GitHub repo, which becomes the source of truth |
| Backend | Supabase by default, auth and row-level security built in | Choice of Upstash, Neon, Supabase, Vercel Blob, Snowflake and AWS |
| Git workflow | Two-way sync between Lovable and your repository | Branch per chat, commit per message, merge via pull request |
| Visual editing | Prompt-driven iteration | Design Mode writes visual edits back into source code |
| Figma import | Not documented | Paid plans, reads pages, frames, design tokens, layout and assets |
| Automatic security scanning | Basic scan on every publish in 10-15 seconds, deep scan on demand | Not documented |
| Free tier limit | 5 build credits per day, capped at 30 per calendar month | $5 monthly credits with a 7 message per day cap |
| Default training opt-out | SOC 2 and GDPR supported | Business tier at $100 per user per month |
| Team seats | Unlimited workspace members on every plan including Free | Per-user pricing from the Plus tier |
| Agentic capabilities | Prompt-driven generation with auto-fix on security findings | Web search, browser use, terminal commands, MCP servers, automatic error fixing |
| Action / Try Tool | Try Free | Try Free |
Detailed Technical Specifications
| Specification | Lovable | v0 by Vercel |
|---|---|---|
| Generated Stack | ||
| Frontend framework | React with TypeScript and Tailwind CSS | Next.js, React, TypeScript, Tailwind CSS and shadcn/ui |
| Backend model | Lovable Cloud on Supabase | Integration menu, no bundled default |
| Data and analytics support | Not documented | Python and SQL with Matplotlib and Pandas |
| Repository Integration | ||
| Code ownership | Code lives in your GitHub repository | Repository becomes the source of truth for the project |
| Branch model | Two-way sync | Dedicated branch per chat, for example v0/username-abc123 |
| Merge path | Standard Git workflow | Publish opens a pull request into the base branch |
| Pricing Structure | ||
| Entry paid tier | Pro from $25/month for 100 credits, or $250/year | Plus $30/user/month with $30 credits and $2 daily login credits |
| Second tier | Business from $50/month, adds single sign-on | Business $100/user/month, adds default training opt-out |
| Credit expiry | Top-up credits expire after 12 months | Monthly credits roll over then expire after 65 days |
| Security and Compliance | ||
| Automated scanning | Basic scan every publish, deep scan on demand, auto-fix | Not documented |
| Certification | SOC 2 and GDPR supported | SOC 2 Type 2, within Vercel's report scope |
| Enterprise controls | Audit logs, SCIM, scheduled security scans | SAML SSO, role-based access control, guaranteed SLA |
Pros & Cons
Lovable
What We Like (Pros)
- Generated React and TypeScript code is clean enough to hand to a developer later
- Lovable Cloud ships authentication and row-level security without separate setup
- A basic security scan runs automatically on every publish in 10 to 15 seconds
- Two-way GitHub sync keeps the code in your own repository
What Could Be Better (Cons)
- Backend is tied to Supabase, so unusual backend work needs manual intervention
- The free plan is capped at 5 build credits per day and 30 per calendar month
- Debugging loops consume credits, making spend hard to forecast on complex apps
- Single sign-on requires the Business plan and audit logs require Enterprise
v0 by Vercel
What We Like (Pros)
- Sandbox runtime imports any GitHub repository and pulls environment variables straight from Vercel, so generated code lands in your own repo
- Design Mode edits typography, spacing, borders and shadows visually, then writes the changes back into source code
- Agentic loop runs web search, browser inspection, terminal commands and automatic error fixing without leaving the chat
- Figma import reads pages, frames, design tokens, layout and assets from a linked file on paid plans
What Could Be Better (Cons)
- Free plan is capped at 7 messages per day and $5 of included monthly credits
- Training opt-out only becomes the default from the Business plan ($100/user/month) upward
- Design Mode is unavailable on read-only chats and on mobile viewports
- A connected GitHub repository becomes the single source of truth, so deleting it upstream puts the project code at risk
In-Depth Comparison Analysis
Executive Summary
The comparison most articles make between these two products stopped being accurate in February 2026.
v0 used to be a generative UI tool that produced React components you copied into a codebase. On 3 February 2026 Vercel rebuilt it, and now describes it as “an AI agent that helps anyone create real code and full-stack apps and agents.” Its sandbox runtime “can import any GitHub repo and automatically pull environment variables, and configurations from Vercel.”
Lovable turns a written prompt into a full-stack React, TypeScript and Tailwind application with a Supabase backend, authentication and row-level security already configured.
Both are full-stack builders. The real dividing line is somewhere else entirely.
The Real Dividing Line: Existing Repo vs New Build
| Evaluation Criteria | Lovable | v0 by Vercel |
|---|---|---|
| Best starting point | A blank page and an idea | An existing GitHub repository |
| Backend | Supabase by default, auth and RLS included | Choice of Upstash, Neon, Supabase, Vercel Blob, Snowflake, AWS |
| Git model | Two-way sync with your repository | Branch per chat, commit per message, merge via pull request |
| Design import | Not documented | Figma import on paid plans, direct Figma inspection since 31 July 2026 |
| Visual editing | Prompt-driven | Design Mode writes edits back to source |
| Security scanning | Automatic on every publish | Not documented |
| Team seats | Unlimited on every plan including Free | Per-user from Plus |
| Our Benchmark Score | 4.8 / 5.0 | 4.8 / 5.0 |
v0 works inside your repository. Connecting one makes it the source of truth for the project. Every chat gets a dedicated branch such as v0/username-abc123, every message that changes code creates a commit, and merging happens through a pull request. Your existing review process and CI gates continue to apply.
Lovable builds something that did not exist. Its strength is going from an idea to a running application with a database, authentication and hosting configured in one pass, and handing you clean React and TypeScript afterwards.
That is the question to answer first. Everything below is secondary to it.
Backend: A Strong Default vs an Integration Menu
Lovable Cloud ships authentication and row-level security without separate setup, so users only see the data meant for them. The free allowance covers usage up to $25 per month, with usage-based billing beginning when an app gains traction.
The trade-off is that the backend is Supabase - a good default, and a default rather than a choice. Backend work outside Supabase’s patterns is where the AI needs the most supervision.
v0 offers one-click database integrations for Upstash, Neon, Supabase and Vercel Blob, plus Snowflake for data warehouse work, and the February 2026 release added secure integrations with Snowflake and AWS databases. It also supports Python and SQL alongside Matplotlib and Pandas for data applications.
More choice, less configured for you. Which is better depends on whether Supabase suits your project anyway.
Where Each One Is Unmatched
v0 only
- Sandbox runtime that imports an existing repository and inherits Vercel environment variables
- Design Mode - select an element in the live preview, adjust typography, colour, spacing, borders and shadows visually, and apply those edits back to source. Not available on read-only chats or mobile viewports
- Figma import on paid plans, reading pages, frames, design tokens, layout and assets, with direct Figma inspection added on 31 July 2026
- Seven agentic capabilities: web search, browser use, automatic error fixing, Fix with v0, marketplace integrations, MCP servers and terminal commands
- Platform API with the
v0-sdkpackage and@v0-sdk/react
Lovable only
- Basic security scan on every publish, completing in 10 to 15 seconds and covering database configuration, row-level security policies and cloud project settings, with an on-demand deep scan of the full codebase taking around three minutes and auto-fix for eligible findings
- Unlimited workspace members on every plan, including Free
Pricing: Two Different Meters
| Lovable | v0 | |
|---|---|---|
| Free | 5 build credits per day, capped at 30 per month, plus 20 Cloud and 4 AI credits | $5 monthly credits, capped at 7 messages per day |
| Entry paid | Pro from $25/month (100 credits) or $250/year | Plus $30/user/month, $30 credits plus $2 daily login credits |
| Second tier | Business from $50/month, adds SSO | Business $100/user/month, adds default training opt-out |
| Enterprise | Volume-based, adds audit logs and SCIM | Custom, adds SAML SSO and RBAC |
Two details decide most budgets.
Both use “from”. Lovable Pro and Business scale through credit bands from 100 to 10,000 credits per month. The $25 and $50 figures are entry points, not the cost of running a real project.
Single sign-on sits at different tiers. Lovable includes it at Business, $50/month. v0 places it at Enterprise. For an organisation that mandates SSO, that gap is substantial.
Data Handling
This is where the two products differ most sharply, and it may decide the choice before any feature does.
v0’s FAQ states: “v0 may use user-generated prompts and/or content as inputs to models and learning systems from third-party providers to improve our products.” Training opt-out by default is a Business plan feature at $100 per user per month, and Enterprise states “Your data is never used for training.” v0 holds SOC 2 Type 2 within Vercel’s report scope, and Vercel does not own the code generated from your prompts.
Lovable supports SOC 2 and GDPR requirements and provides security documentation and data protection agreements for enterprise review, alongside the automatic scanning described above.
If your prompts contain sensitive intellectual property, the entry point for default opt-out on v0 is $100 per user per month rather than $30.
Documented Limitations
Lovable - the backend is tied to Supabase, so unusual backend work needs manual intervention. The free plan caps at 30 build credits per calendar month, which is roughly six active days. Debugging loops consume credits, making spend hard to forecast on complex applications. Single sign-on requires Business and audit logs require Enterprise.
v0 - the free plan is capped at 7 messages per day. Default training opt-out requires the $100 Business tier. Design Mode does not work on read-only chats or mobile viewports. A connected GitHub repository becomes the single source of truth, so deleting it upstream puts the project code at risk.
Verdict
Choose v0 if you already have a codebase, your stack is Next.js, you need Figma import, or you want an agent that can run terminal commands and inspect a running application. Its branch-per-chat and pull request model means generated code enters your repository through the same review path as everything else.
Choose Lovable if you are building something new, you want authentication, database and hosting configured in a single pass, several people will build alongside each other, or you value automatic security scanning on every publish.
They overlap too heavily to justify running both. Answer the repository question and the rest follows.
For the broader decision about assistants across a team, see our guide to choosing an AI coding assistant. For a different comparison in the same category, see Lovable vs Replit.
Figures in this comparison are drawn from our full reviews of Lovable and v0, both verified against official documentation on 18 August 2026. Ratings reflect our category rankings, where v0 places third and Lovable fourth in AI Coding and Development.
Frequently Asked Questions
Is v0 only for generating UI components?
No. That was accurate before February 2026. Vercel rebuilt v0 and shipped the new version on 3 February 2026, describing it as an AI agent that helps anyone create real code and full-stack apps and agents. Its sandbox runtime can import any GitHub repository and automatically pull environment variables and configuration from Vercel.
Can either tool work with my existing codebase?
v0 is built for it. Its sandbox imports an existing GitHub repository, which then becomes the source of truth for the project. Lovable syncs code two ways with your repository, but its strength is building something new from nothing rather than working inside an established codebase.
Do I have to use Supabase with Lovable?
The backend is tied to Supabase. That is a strong default rather than a limitation for most projects, but it is a default rather than a choice, and backend work that falls outside Supabase patterns needs more manual intervention.
Which one is cheaper?
They meter differently, so it depends on usage shape. Lovable charges credits by request complexity, from 0.50 credits to style a button up to 2.00 for a complex landing page, with Plan mode fixed at 1 credit per message. v0 charges token-metered credits where monthly credits roll over and then expire after 65 days. Both use the word from in their headline prices, so treat $25 and $30 as the entry point of a range.
Is my code used to train models?
v0's FAQ states it may use user-generated prompts and content as inputs to models from third-party providers. Default training opt-out begins at the Business tier at $100 per user per month, and Enterprise states data is never used for training. Lovable supports SOC 2 and GDPR requirements and provides data protection agreements for enterprise review.
Which suits a team of five better?
Lovable includes unlimited workspace members on every plan including Free, so seat count is not a billing dimension. v0 prices per user from the Plus tier. For a team where several people build, that difference usually outweighs the headline price.
