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coding
design

Lovable vs v0 by Vercel

A detailed side-by-side comparison to help you choose.

Lovable

AI full-stack engineer that builds and deploys production-ready web apps from natural language descriptions

8.0Excellent

v0 by Vercel

AI-powered UI generation tool that creates React components and full pages from text prompts

8.0Excellent

Our Verdict

It's a close call

Lovable (8.0) and v0 by Vercel (8.0) are virtually tied. Your best pick depends on your specific needs and budget.

Feature Comparison

FeatureLovablev0 by Vercel
API Access
Plugins / Extensions
Image Generation
Code Execution
File Upload
Web Search
Max Context Window
128K tokens
32K tokens

Pricing Comparison

TierLovablev0 by Vercel
Free
Free

5 messages/day, public projects only

Free

200 credits/month, basic UI generation

Starter
$20

100 messages/month, private projects, custom domains

$20

5000 credits/month, faster generation, private projects

Launch
$50

500 messages/month, team collaboration, Supabase integration

$30

Per seat, shared workspaces, team credits pool

Scale
$100

Unlimited messages, priority support, advanced features

Score Breakdown

DimensionLovablev0 by Vercel
Ease of Use9.09.0
Features8.08.0
Value for Money8.08.0
Support7.07.0
Overall8.08.0

Pros & Cons

Lovable

Pros

  • +Builds complete full-stack apps with auth, database, and UI
  • +Native Supabase integration for backend and data storage
  • +One-click deploy with instant public URL
  • +GitHub sync lets developers extend and customize code

Cons

  • Message limits make extended projects expensive
  • Complex business logic often requires manual developer intervention
  • Generated code quality varies — review before production use

v0 by Vercel

Pros

  • +Produces production-ready React/Tailwind code instantly
  • +Deep Vercel and Next.js ecosystem integration
  • +Supports iterative refinement with follow-up prompts
  • +Component library output is clean and customizable

Cons

  • Tightly coupled to Vercel stack (React, Tailwind, shadcn)
  • Credits deplete quickly on complex multi-page builds
  • Limited backend or API logic generation

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