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Compare / Lindy vs Vapi

Head-to-head

Lindy vs Vapi.

Side-by-side on ratings, pricing, pros, cons, and the honest take on which to pick. Cross-category comparison: Lindy is a no-code saas and Vapi is a voice ai agent.

LindyVapi
Rating4.5 / 54.0 / 5
CategoryNo-code SaaSVoice AI Agent
Tech levelno codedeveloper
Open sourceNoNo
PricingFreemium. Paid plans from ~$49/month.Pay-per-minute: ~$0.05–0.08 per minute, slightly cheaper than Retell at scale. Free tier for evaluation. Volume discounts.
Best forSales and customer support teams at B2B companies who need working agents in days, not weeks, with no developer on staff.Engineering teams building production voice products who need fine control over the model, voice synthesis provider, and call routing. Strong API and webhook story.
Not forTeams with complex custom integrations, regulated data, or who need full infrastructure control.Non-technical teams — Retell's SDK is more accessible. Teams that don't need the customisation depth Vapi offers.

Our verdict on Lindy

The best no-code AI agent platform for operators. Non-technical teams can ship real automations in hours.

Full Lindy review →

Our verdict on Vapi

Developer-first voice infrastructure with strong customisation hooks. Best for teams wanting more pipeline control than Retell, without building from scratch.

Full Vapi review →

Lindy

What works

  • Genuinely no-code — plain English agent creation
  • Fast time to first value (hours, not days)
  • Polished pre-built templates for sales and support
  • Managed infrastructure — nothing to maintain

What doesn't

  • SaaS pricing adds up at scale
  • Limited customization ceiling vs open-source harnesses
  • Your data lives on their servers
  • Hits a ceiling on complex or non-standard workflows

Vapi

What works

  • Multi-vendor model and voice provider support
  • Cheaper per-minute pricing than Retell at scale
  • Strong webhook and API customisation
  • Good for white-labelled voice products
  • Active developer community and docs

What doesn't

  • Steeper learning curve than Retell — more configuration to do
  • Quality depends on which voice provider you select
  • Less polished onboarding for non-developers
  • Documentation occasionally lags new features

Which to pick

We'd default to Lindy (4.5/5 vs 4.0/5) for most builders. Pick Vapi if you fit its best-for case specifically: engineering teams building production voice products who need fine control over the model, voice synthesis provider, and call routing. strong api and webhook story.

Honest middle: most serious operators end up using more than one tool. If you're early in your AI agent journey, our five-question picker recommends a starting platform from your specific situation.

Common questions

Lindy vs Vapi — which should I pick?

We rate Lindy 4.5/5 vs 4.0/5 for Vapi. Lindy wins for sales and customer support teams at b2b companies who need working agents in days, not weeks, with no developer on staff. — but pick Vapi if you fit its specific best-for case (Engineering teams building production voice products who need fine control over the model, voice synthesis provider, and call routing. Strong API and webhook story.). See the head-to-head table above for the full breakdown.

Is Lindy or Vapi cheaper?

Lindy's pricing: Freemium. Paid plans from ~$49/month. Vapi's pricing: Pay-per-minute: ~$0.05–0.08 per minute, slightly cheaper than Retell at scale. Free tier for evaluation. Volume discounts. The right "cheaper" pick depends on usage volume and what's included — see the pricing row in the table above.

What's Lindy best for?

Sales and customer support teams at B2B companies who need working agents in days, not weeks, with no developer on staff.

What's Vapi best for?

Engineering teams building production voice products who need fine control over the model, voice synthesis provider, and call routing. Strong API and webhook story.

Why compare Lindy and Vapi if they're different categories?

Lindy is a no-code saas and Vapi is a voice ai agent. The comparison still matters because builders evaluating one often consider the other for adjacent jobs. See the recommendation section above for how to think about the cross-category choice.

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