
The short answer
Vapi suits developers who want to choose every provider and manage agents as code. Retell AI suits teams that want a drag-and-drop flow builder beside a capable API. Both handle numbers and SIP, ship SDKs and bill by usage. If you would rather not build at all, a managed service like Calldone, which we make, is a third route.
Key takeaways
- Vapi is API-native: you pick the transcriber, model and voice and wire the agent together, with Squads for multi-assistant calls.
- Retell AI offers single-prompt agents and a drag-and-drop conversation flow, plus TypeScript and Python SDKs and a custom LLM option.
- Both connect to Twilio, Telnyx and SIP trunks; Retell also sells US and Canada numbers, while Vapi's free US numbers take inbound calls only.
- Both publish usage-based pricing with separate components, so compare full cost per minute at your own volume.
- Neither is a finished receptionist; someone still has to write, test and maintain the agent.
Vapi vs Retell is the comparison most developers make when they start building voice agents, because the two platforms overlap more than any others. Both let you create phone agents, connect numbers and call your own APIs mid-conversation. They differ in how much they lean on code, how you design a call, and how much they decide for you.
A note on where we stand: we make Calldone, a managed AI phone agent service that is an alternative to both, aimed at businesses that do not want to build. We have no stake in which of these two you pick. Every claim about them comes from their own sites and docs, checked on October 13, 2026, and we don't list their prices.
Vapi vs Retell AI at a glance
| Vapi | Retell AI | |
|---|---|---|
| How it describes itself | "Voice agents for builders"; "API-native by design" | A voice agent platform for automating phone calls, with a no-code studio and APIs |
| Build model | Dashboard or API; assistants, plus Squads that hand a call between assistants | Single-prompt agents or a drag-and-drop conversation flow; an AI helper called Conductor drafts edits |
| Developer tooling | Web and Server SDKs, a CLI and config as code | TypeScript and Python SDKs, a Web SDK and a custom LLM over WebSocket |
| Choice of models and voices | Pick transcriber, model and voice from many named providers | Choose models and voices from several providers; or plug in your own model |
| Phone numbers | Free US numbers for inbound; import Twilio, Telnyx or DIDWW numbers | Buy US and Canada numbers in the dashboard; import from your carrier |
| Bring your own carrier | SIP trunks, with guides for Twilio, Telnyx, Plivo and others | SIP trunking with Twilio, Telnyx, Vonage, plus Avaya, Genesys and Five9 |
| Integrations named on its site | Google Calendar, Salesforce, HubSpot, GoHighLevel, Zapier, Make, Slack, Zendesk | HubSpot, Salesforce, Zendesk, Cal.com, GoHighLevel, Make, n8n |
| Languages | Automatic language detection through supported transcribers; no count listed | "Multiple languages"; choose a set per agent, with single-language agents most accurate |
| Compliance claims | Lists HIPAA and PCI; HIPAA add-on with a BAA on its pricing page | Says it is fully compliant with HIPAA, GDPR and ISO 27001, among others; BAA on enterprise |
| Testing | Simulations and evals managed as code, per its docs | LLM playground, simulations, batch tests and QA on live calls |
| Pricing model | Usage-based; provider costs pass through plus a platform fee by plan | Pay as you go per minute, built from model, voice, telephony and add-ons |
| Agency programs | Third-party white-label dashboards listed in its docs | Solution and creator partner programs; white-label not listed |
What is the difference between Vapi and Retell AI?
The main difference is the default way of building. Vapi starts from the API: you compose an agent from the transcriber, model and voice you choose and manage it like code. Retell AI starts from the agent: you write one prompt or draw a conversation flow on a canvas, and reach for the API when you need it. Both end up as phone agents that call your tools.
Pricing structure differs in detail too. Vapi's pricing page says provider costs pass through and Vapi adds a platform fee that depends on your plan. Retell's pricing page builds the per-minute cost from the model, voice infrastructure, voice, telephony and optional add-ons, and offers a cost estimator. In both cases the total depends on your choices, so model a real month of calls on each.
Is Vapi or Retell better for developers?
Vapi is usually the better fit for developers who want maximum control, and Retell for developers who want good defaults with escape hatches. Vapi's docs cover Web and Server SDKs, a CLI with local webhook forwarding, and a config-as-code repository for promoting assistants and squads across environments. That suits teams that live in pull requests.
Retell's docs cover typed TypeScript and Python SDKs, a REST API, a Web SDK for browser calls and a custom LLM mode in which Retell handles telephony, transcription and turn-taking while your own WebSocket server writes each reply. Agent versions can be tagged for production and staging. That suits teams that want to own the brain but not the plumbing.
One practical note: Vapi's docs say its Workflows feature was retired by August 18, 2026, with Assistants or Squads recommended instead. Retell still offers both single-prompt and node-based conversation flow agents and recommends starting with the single prompt.
Which is easier for non-developers?
Retell AI is easier for non-developers. Its site describes a no-code studio where you design each step on a drag-and-drop canvas, and its docs describe Conductor, an assistant inside the dashboard that proposes edits, investigates calls and runs simulation tests. Vapi has a dashboard, but its pitch, docs and examples assume someone comfortable with APIs.
Easier is relative, though. On either platform a non-developer still has to write instructions that survive real callers, connect a calendar or CRM, and read transcripts to fix mistakes. If that is the hard part for you, our explainer on how an AI voice agent works shows what each piece does.
Phone numbers, integrations and languages
Phones. Vapi's docs say you can create free US numbers for inbound calls, and import your own numbers from Twilio, Telnyx, DIDWW or a SIP trunk for outbound or international calling. Retell's docs describe buying US and Canada numbers directly, calling 15 countries from them, and connecting other carriers through SIP. Retell also lists branded caller ID and verified numbers to reduce spam flags on outbound calls.
Integrations. Vapi's homepage shows a long list of model and voice providers alongside business tools such as Google Calendar, Salesforce, HubSpot, GoHighLevel and Zapier. Retell's docs offer built-in tools for Cal.com, HubSpot, Salesforce and Zendesk, and both support custom API calls and MCP servers for anything else.
Languages. Vapi handles multilingual calls through transcribers with automatic detection, naming Deepgram, Google and Gladia. Retell lets you select a set of languages per agent and is candid that a single-language agent is the most accurate, recommending one agent per language for closely related languages such as Cantonese and Mandarin.
When to pick Vapi, and when to pick Retell AI
- Pick Vapi if you want to swap providers freely, keep agents in Git, split calls across Squads, or build voice into your own product with its SDKs.
- Pick Retell AI if product or operations staff will edit call flows, you want numbers and branded caller ID from one place, or you want to run your own model behind a managed voice layer.
- Pick either for common jobs such as appointment booking, lead qualification and customer support; both sites describe those use cases.
- Look elsewhere if you need a built-in agency white-label workspace (see our Synthflow alternatives) or one vendor for the entire stack (see our Bland AI alternatives).
If neither feels right, our list of Vapi alternatives and the wider roundup of AI voice agent platforms cover the rest of the field.
Compliance: what each site claims
Both companies make compliance claims; neither is something we can verify for you. Vapi's homepage lists HIPAA and PCI among the standards it says it meets, and its pricing page offers HIPAA as an optional add-on with a Business Associate Agreement. Retell's homepage says it is fully compliant with HIPAA, GDPR and ISO 27001 among other standards, and lists SSO, personal-information redaction and role-based access for enterprise.
If you handle health or payment data, ask each vendor for the signed agreement and the audit reports that cover your plan, in writing, before a single live call.
If you don't want to build at all
Some people reach this comparison as business owners, not engineers, after hearing that an AI agent could answer their phones. For them, both platforms are a means to an end. A managed service skips the platform decision: Calldone's team holds a short onboarding call, then configures the agent, tunes its voice, connects Google Calendar or a CRM such as GoHighLevel, and tests the flow with you before it goes live.
You keep your existing number and forward calls to the agent, as explained in our guide to keeping your business number. Each call comes back with a recording, a transcript and a summary, and plans are listed on our pricing page.
For builders, the honest summary is that Vapi and Retell AI are both capable, and the better one is whichever matches how your team likes to work. Build the same agent on both for a day and the answer is usually obvious.
Frequently asked questions
Is Vapi better than Retell AI?
Neither is better for everyone. Vapi suits developers who want to choose every provider, manage agents as code and build voice into their own products. Retell AI suits teams that want a drag-and-drop conversation builder next to a solid API, plus phone numbers bought in the same dashboard. Build one test agent on each and compare the results on your real calls.
What is a good Retell AI alternative?
Vapi is the closest Retell AI alternative for developers who want more provider choice. Synthflow suits agencies that need built-in white-labeling, Bland suits regulated enterprises that want one vendor for the whole stack, and ElevenLabs suits teams that prioritize voice range and languages. Businesses that want no build at all can use a managed service such as Calldone, which we make.
Do Vapi and Retell AI work with my existing phone numbers?
Yes, as of October 2026 both document ways to use numbers you already have. Vapi's docs cover importing numbers from Twilio, Telnyx or DIDWW and connecting SIP trunks. Retell's docs cover SIP trunking with Twilio, Telnyx and Vonage and contact-center systems such as Genesys and Five9. Retell also sells US and Canada numbers directly.
How do Vapi and Retell AI charge?
Both publish usage-based pricing billed by the minute of call time. Vapi's pricing page says provider costs pass through with a platform fee that depends on your plan. Retell's pricing page builds the rate from the model, voice, telephony and add-ons, and offers a cost estimator. Prices change, so check both pages and model a typical month of your calls.
Can non-developers use Vapi or Retell AI?
Non-developers usually find Retell AI easier, because its site describes a no-code studio with a drag-and-drop canvas and an in-dashboard assistant that helps edit agents. Vapi has a dashboard but is designed API-first. On either platform, someone still needs to write good instructions, connect calendars or CRMs, and review transcripts to fix mistakes over time.
Do Vapi and Retell AI support HIPAA requirements?
Both mention HIPAA on their sites as of October 2026. Vapi's pricing page lists a HIPAA add-on that includes a Business Associate Agreement. Retell's homepage claims HIPAA compliance alongside GDPR and ISO 27001, and its pricing page lists a BAA on its enterprise comparison. Confirm the signed agreement and what your plan covers before handling any patient information.
Sources, checked October 13, 2026
Competitor details come from each company's own website on the date above. Products change; check their current pages before you decide.
- Vapi homepage
- Vapi pricing
- Vapi docs: core models
- Vapi docs: phone calling
- Vapi docs: free phone numbers
- Vapi docs: Squads
- Vapi docs: Workflows migration guide
- Vapi docs: config as code
- Vapi docs: multilingual support
- Vapi docs: index
- Retell AI homepage
- Retell AI pricing
- Retell AI docs: single prompt vs conversation flow
- Retell AI docs: SDKs
- Retell AI docs: purchase phone number
- Retell AI docs: multilingual agents
- Retell AI docs: index
The Calldone Team
Editorial team
Calldone builds, deploys and manages AI voice agents that answer business calls, book appointments and qualify leads. We write about what we see running phone lines for small businesses.


