My Bolt vs Lovable vs V0 Vercel Comparison

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My Bolt vs Lovable vs V0 Vercel Comparison

Tech influencers are pushing tools like Bolt, Vercel’s v0, and Lovable hard. AI is overhyped and may be in a bubble , and the AI hype on social media is strong.

Still, it’s impressive what these tools can do without the user needing to write REST APIs or set up MCP integrations.

Bolt vs Lovable vs v0 pricing

Here’s a comparison of pricing and features for v0, Lovable, and Bolt:

Feature/Category V0 Lovable Bolt Winner
–Free Plan–
Price $0 $0 $0 All
Included Credits $5 monthly credits 5 daily (30/month) 1M tokens/month Bolt (highest volume)
Public Projects Yes Yes Yes All
Private Projects No No Yes Bolt
Daily Limit N/A 5 credits 150K tokens V0 (no daily limit)
Collaboration Sync with GitHub Up to 20 collaborators N/A Lovable
AI Model Access v0-1.5-md N/A N/A V0
–Pro Plan–
Price $20/month $25/month $20/month V0/Bolt (cheaper)
Included Credits $20 monthly credits 100 monthly credits 10M tokens/month Bolt (highest volume)
Private Projects Yes Yes Yes All
File Upload Limit 5x higher than Free N/A 100MB (vs 10MB Free) Bolt
Daily Limit N/A 5 daily (150/month) No limit Bolt/V0
Credit Rollover Purchase additional Yes Yes (2 months) Bolt (automatic)
AI Model Access v0-1.5-lg + API N/A N/A V0
Special Features Import from Figma Remove Lovable badge Token efficiency focus V0 (Figma integration)
–Team Plan–
Price $30/user/month N/A $30/user/month V0/Bolt
Included Credits $30/user/month N/A 10M tokens/user/month Comparable
Centralized Billing Yes N/A Yes All
Collaboration Shared chats N/A Team workspace Bolt (structured)
Admin Controls N/A N/A Team-level access Bolt
–Enterprise Plan–
Pricing Custom Custom Custom All
SSO SAML SSO SSO SSO + advanced security Bolt
Support Dedicated Dedicated + onboarding 24/7 priority Lovable/Bolt
Compliance Training opt-out Opt-out of data training Data governance policies Bolt
Customization N/A Custom integrations Custom workflows Lovable/Bolt
–Key Differentiators–
AI Focus Component generation General AI features AI token optimization V0 (dev-focused)
Development Features Vercel deployment Custom domains Project syncing V0 (deployment)
UI/Design Figma import Design templates N/A V0
Best For Developers needing components Teams needing collaboration High-volume AI usage

Summary by use case

  • Best free tier: Bolt (most generous limits)
  • Best for developers: v0 (component-focused, Figma integration)
  • Best for collaboration: Lovable
  • Best for heavy AI usage/teams/enterprise: Bolt

All three are easy to upgrade, but token/credit systems differ - Bolt’s is the most transparent.

Which one to choose?

  • Solo developer: v0
  • Design-focused teams: Lovable
  • Heavy AI usage: Bolt
  • Enterprise: Bolt or Lovable

Testing: building a landing page

I tested all three with a simple prompt:

Create a fancy and highly interactive landing page with cyberpunk vibes and neon colors

v0 (Vercel)

Vercel’s v0 produced a decent cyberpunk landing page with a solid color palette and background.

Running it locally had some dependency conflicts, even though it worked fine on v0’s platform. Aside from that, the result was solid.

Bolt

Bolt was my favorite. It used neon text effects, matched images to the palette, added a framed image element, and included a glitch effect on the hero - fitting for a cyberpunk theme.

Installation worked without issues. The code uses more resources than expected even when idle, but I haven’t looked closely yet.

Lovable

Lovable also produced a functional landing page, but it went overboard with effects - almost everything was animated and interactive, making it feel saturated. The Matrix background didn’t feel right for a general landing page, and the footer was minimal (just logo and copyright).

Results can improve with iteration, but the style felt like a beginner adding every effect they know. Also, Lovable didn’t allow downloading code without a premium plan, which puts it behind the others. Fine-tuning could help here.

Verdict

For this test, Bolt produced the best result. The overall experience was similar across all three - they use similar interfaces by now.

Limitations

Everything looks the same

All three generated nearly identical layouts: navbar with logo on the left and menu on the right, similar spacing, 3-4 sections. LLMs tend to produce the most probable structure, so outputs converge. Standing out requires manual customization or many iterations.

All AI landing page looks the same

SEO is often missing

None of them added much for technical SEO . You’ll need to adjust that manually if rankings matter.

Despite these limitations, the results are surprisingly good for a single prompt. Unlike AI art, these AI code tools tend to go unnoticed by non-technical users - as I explored in another post .

Eduardo Zepeda
Eduardo Zepeda
Just call me Ed. developer and Linux (GNU/Linux) preacher. I like boring and predictable frameworks, the more opinionated and less boilerplate the better. I think Django is the best framework for MVPs. I used to believe in the goodness of cryptocurrencies outside of monetary speculation.