Vapi

Vapi

Vapi is an API-first platform for building voice AI agents that run real inbound and outbound phone calls at sub-500ms latency.

81/100Safe BetFree · from $10/line/moFreemium

Pick Vapi when your voice agent has to survive procurement: a 99.9% uptime SLA, SSO and RBAC, simulations, and HIPAA paperwork are things cheaper rivals don't hand you. The catch is arithmetic — Pro starts at a $999/mo minimum on 10% of Vapi hosting, extra concurrency runs $10/line/month, and HIPAA eligibility is a $2,000/month add-on. Stay on the usage-only tier until call volume justifies a package.

Verified 4h ago · liveness 81/100 · cite: rightaichoice.com/tools/vapi

Best for
  • Enterprise support teams routing 100% of inbound call volume through a voice agent
  • Healthcare and insurance call centers that need HIPAA-eligible voice AI with a BAA
  • High-volume outbound lead qualification where concurrency and an uptime SLA matter
  • Teams that want model recommendations driven by their own production call data
Not ideal for
  • Solo developers prototyping a simple voice bot on a tight budget
  • Workloads running one or two concurrent calls that never need retention controls
  • Buyers unwilling to pay $2,000/month for HIPAA eligibility or $10/line for extra concurrency
Visit Website

IntermediateOn the no-package tier you can deploy a first agent the same day — the natural-language builder turns a prompt into a live agent and $5 of credits covers initial test calls. Teams adding the Core package at $29/mo generally reach production within a week. Premier includes a dedicated deployment engineer embedded in your team with a stated goal of going live in a week.Web · APIAPI available3.7k viewsVerified 4h ago
Pricing
Free · from $10/line/mo
FreemiumFree tier7 plans6 hidden costs
Learning curve
Intermediate
On the no-package tier you can deploy a first agent the same day — the natural-language builder turns a prompt into a live agent and $5 of credits covers initial test calls. Teams adding the Core package at $29/mo generally reach production within a week. Premier includes a dedicated deployment engineer embedded in your team with a stated goal of going live in a week.
Runs on
WebAPI
API available · 13 integrations
Who it's for
Engineering lead at a scaling SaaS support orgSales ops manager running outbound qualificationHealthcare operations lead needing a HIPAA-eligible line
Live sentiment
Is Vapi actually worth it?

We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.

  • Honest verdict, not marketing
  • Real pros & cons from real users
  • Attributed quotes with receipts
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Skip it if

Skip Vapi if your peak concurrent call volume is spiky enough that you'd be paying for idle $10/line/month concurrency, or if a HIPAA-eligible BAA at $2,000/month isn't in your budget.

The 30-second take
Biggest gripe

Every extra concurrent call line beyond your package default runs $10/line/month, billed whether or not traffic actually reaches that concurrency.

Price reality

Core at $29/mo sits at the low end for a production voice platform and is genuinely self-serve. Pro's $999/mo minimum puts Vapi above simple-usage rivals like Retell or Bland AI, but that gap buys RBAC, ZDR, a 99% uptime SLA, and a dedicated Slack channel. Premier is contact-sales territory and competes on SLAs and a named support team, not on price. HIPAA buyers should budget the extra $2,000/mo on top of whichever package they choose.

In short

Vapi — Vapi is an API-first platform for building voice AI agents that run real inbound and outbound phone calls at sub-500ms latency. Best for Enterprise support teams routing 100% of inbound call volume through a voice agent, Healthcare and insurance call centers that need HIPAA-eligible voice AI with a BAA, High-volume outbound lead qualification where concurrency and an uptime SLA matter. Free to start; paid plans from $10/mo.

No head-to-head comparison for Vapi yet — the alternatives below are the closest matches we list.

What's new in Vapi

Checked 8 days ago

Across the latest 10 updates: 5 feature updates, 2 launches, 1 community discussion and 2 news mentions.

LaunchBlog·16 days agoNewest

GPT-Live is now in beta for every Vapi customer

Vapi opened GPT-Live to all customers in beta, following a private beta and public waitlist announced September 3.

FeatureBlog·18 days ago

Have your personal assistant make the call you keep putting off

Vapi published a post on using its voice agents as a personal assistant to place calls on your behalf.

FeatureBlog·19 days ago

Vapi for CX: own every layer, improve every week

Vapi detailed its customer experience stack pitch, framing weekly iteration on every layer of the voice pipeline.

DiscussionBlog·24 days ago

Behind the Features: Your Top Questions from the Vapi Webinar, Answered

Vapi answered top customer questions from its recent product webinar in a follow-up post.

FeatureBlog·25 days ago

Fast decisions alongside voice AI: early experiments with Jev

Vapi shared early experimental work combining voice AI with fast decision-making systems.

NewsBlog·Sep 16

The Frontier Voice AI summit is back. Here's who's coming.

Vapi previewed speakers and attendees for its VapiCon voice AI summit on November 11-12.

LaunchBlog·Sep 3

GPT-Live is coming to Vapi: private beta and public waitlist

Vapi announced GPT-Live support entering private beta with a public waitlist for access.

FeatureBlog·Aug 31

Campaigns, rebuilt: scale outbound calling with Vapi

Vapi rebuilt its Campaigns product for scaling outbound calling on the platform.

FeatureBlog·Aug 18

Vapi simulations: test for every type of caller

Vapi launched simulations, letting builders test voice agents against varied caller types.

NewsBlog·Aug 12

VapiCon 2026: the first-ever voice AI summit returns this November

Vapi announced VapiCon 2026, its voice AI summit, returning November 11-12.

What people actually say about Vapi — is it worth it?

We scanned public community sources for Vapi on Aug 18, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.

Viability Score

81/100
Safe Bet

How well maintained and how widely used is Vapi? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
90
Traction
100
Site health
95
User sentiment
49
What the vendor publishes
60

Last calculated: October 2026

How we score →

Key Features

  • Voice AI agents handling real inbound and outbound phone calls
  • Sub-500ms average latency, scaled to millions of calls
  • Low-code visual Composer for voice, conversation flow, telephony, and integrations
  • Natural-language builder that turns a prompt into a deployed agent
  • Model Intelligence recommends models from your own production call data
  • Simulations test agents against every type of caller before launch
  • Rebuilt Campaigns for scaling outbound calling
  • GPT-Live voice model available in beta to all customers
  • Real-time effectiveness and compliance monitoring across every call
  • AI guardrails to prevent hallucinations and protect data integrity
  • Inbound and outbound telephony on Vapi numbers, Vapi WebSockets, or bring-your-own SIP
  • BYO model API keys with provider costs passed through at no markup
  • SOC 2, HIPAA, and PCI compliant agents
  • Unlimited agents with pay-per-minute usage

About Vapi

FreemiumIntermediateAPI availableWeb · API

Vapi gives engineering and CX teams a managed platform for voice AI agents that answer and place real phone calls. You bring the use case — inbound support, lead qualification, appointment scheduling — and Vapi supplies the orchestration, telephony, monitoring, and enterprise configurability so you aren't stitching speech models to SIP trunks yourself. Agents run on included Vapi numbers, Vapi WebSockets, or your own SIP trunk via Twilio, Vonage, or Telnyx. There are two build paths. A visual Composer configures voice, conversation flow, telephony, and integrations; a natural-language builder turns a prompt into a deployed agent. Recent releases push quality control: Model Intelligence recommends models from your production call data, Simulations (August 18, 2026) stress-test agents against varied caller types before launch, and Campaigns was rebuilt for outbound at scale (August 31, 2026). GPT-Live, announced September 3 in private beta with a public waitlist, opened to every Vapi customer in beta on October 2, 2026. Vapi cites 1 billion calls supported, 2.5M+ agents launched, 1M+ developers, and 99.9% uptime for enterprise clients. Ring moved 100% of inbound volume onto the platform in two weeks; Kavak reports 250k monthly calls and a healthcare case study cites 1M+ calls per month. Model costs pass through at provider rates with no markup — Deepgram transcription, OpenAI intelligence, ElevenLabs voice — so you mostly pay for minutes. That enterprise packaging — contractual uptime SLAs with reserved capacity, a dedicated deployment engineer, SSO/OAuth2/RBAC, and SOC 2, HIPAA, and PCI compliance — puts Vapi in a different lane than lighter self-serve rivals. The Pro package's $999/mo minimum is where smaller teams start doing arithmetic.

Behind the Verdict

Vapi's pitch is ownership: your agents, your models, your data, on infrastructure you didn't have to build. In practice that means you choose Deepgram for transcription, OpenAI for intelligence, ElevenLabs for voice, and Vapi passes those provider costs through with no markup — you pay hosting minutes plus whatever the models charge. For teams who want to swap a model without re-platforming, that matters more than a bundled per-minute rate. Reach for this when voice is becoming a load-bearing channel. Ring put 100% of inbound volume on Vapi in two weeks; Kavak runs 250k calls a month and reports 5X revenue growth alongside it. Those are the shops that need the observability layer, not just a bot that talks. The features I'd actually test first are Simulations and Model Intelligence. Simulations let you throw many caller types at an agent before real customers do, and Model Intelligence recommends models off your own production call data rather than a vendor benchmark. Together they shorten the loop between "agent sounds off" and "agent is fixed." GPT-Live going from waitlist to open beta for every customer in about a month suggests Vapi ships fast. Where it bites: concurrency is metered. Extra lines beyond your package default are $10/line/month, and if your traffic spikes seasonally you'll pay for idle lines all month. HIPAA-eligible handling adds $2,000/month on top of your package. Teams running one or two simultaneous calls will never need the retention controls or SLAs they're paying for. The closest alternatives are self-serve voice agent platforms with simpler, flatter pricing. Vapi asks you to accept a package minimum and an add-on spreadsheet in exchange for a contractual uptime guarantee, a named support team, and compliance paperwork your security

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Real-world workflow fit

Concrete scenarios for the personas Vapi actually fits — and what changes day-one when you adopt it.

Engineering lead at a scaling SaaS support org

Use the natural-language builder to stand up an inbound support agent, run Simulations against several caller types, then route 100% of the support line through it on a Vapi number.

Outcome: Agent in production without assembling telephony and speech providers, with pre-launch testing catching weak caller paths.

Sales ops manager running outbound qualification

Build a lead-qualification agent and launch it through the rebuilt Campaigns feature, watching effectiveness and compliance monitoring in real time.

Outcome: Outbound volume scales on concurrent lines, and structured data extraction feeds qualified leads into HubSpot or Salesforce.

Healthcare operations lead needing a HIPAA-eligible line

Add the HIPAA add-on for a BAA and DPA, deploy an appointment scheduling agent on a dedicated SIP trunk, and pull structured intake data from each call.

Outcome: Compliant voice scheduling with 180-day retention on Pro and a contractual uptime SLA behind it.

Use Cases

Models Under the Hood

OpenAIDeepgramElevenLabsGPT-Live

as of 2026-10-18

Limitations

  • Usage-based pricing: minutes are billed per use, with transcriber (Deepgram $0.0095–$0.0099/min), intelligence model (OpenAI $0.0077–$0.0452/min), and voice (ElevenLabs $0.0146–$0.0238/min) provider costs passed through at no markup, plus transport fees charged by telephony providers (Twilio inbound $0.008/min, Twilio outbound $0.014/min, Vonage $0.00814/min, Telnyx $0.0055/min); Vapi Telephony/SIP, WebSockets, and Daily WebRTC transport are free.
  • The free By Usage tier includes $5 of credits, 2 organizations, 1 included Vapi phone number, 4 concurrent calls, and 14 days of raw data retention; Success Packages start at $29/month (Core) and $999/month minimum (Pro, calculated as 10% of Vapi hosting fee).
  • HIPAA-eligible data handling is an add-on at $2,000/month, and additional concurrency or organizations cost $10/line/month and $20/organization/month respectively.
  • Premier-tier capabilities such as dedicated deployments, elevated concurrency, higher uptime SLAs, and custom RBAC/SSO are quote-based via Contact Sales rather than self-serve.

as of 2026-09-30

Verification history

We have re-verified Vapi 106 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — re-checked, vendor evidence unchanged
  2. — re-checked, vendor evidence unchanged
  3. — re-checked, vendor evidence unchanged
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  5. — re-checked, vendor evidence unchanged
  6. — re-checked, vendor evidence unchanged

Showing the 6 most recent of 106 verification passes.

Free to cite with attribution — this page re-verifies continuously.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published Vapi tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

No Success Package

$0/mo + $0.05/min Vapi hosting

Ideal for

Solo builders and small teams validating a voice agent on real calls without a monthly commitment, staying under 4 concurrent calls.

What this tier adds

Free entry point: $5 in credits, then $0.05/min Vapi hosting plus pass-through model costs, with 14-day raw data retention and no support SLA.

Core

$29/mo

Ideal for

Early teams moving a first voice agent into production who need more concurrency and longer retention but not enterprise controls.

What this tier adds

Adds 5 included Vapi phone numbers, 10 concurrent calls, 30-day retention, Zero Data Retention, and a 2-business-day email support SLA for $29/mo.

Pro

$999/mo minimum (10% of Vapi hosting fee)

Ideal for

Scaling teams running meaningful inbound or outbound volume who need RBAC, a contractual uptime SLA, and a dedicated support channel.

What this tier adds

Adds 10 organizations, 10 numbers, 30 concurrent calls, 180-day retention, RBAC, Slack support with 1-business-day SLA, and a 99% uptime SLA at a $999/mo minimum (10% of hosting).

Premier

Custom

Ideal for

Large or regulated organizations deploying voice agents at scale that need custom concurrency, dedicated SIP, and named support.

What this tier adds

Adds custom number counts and retention, a named support team with Agent Strategist and FDE Advisor, 1-hour P0 response, 99.9% uptime SLA, and custom RBAC + ZDR + SSO.

HIPAA compliance add-on

$2,000/mo

Additional concurrency

$10/line/mo

Ideal for

Teams whose peak call volume exceeds their package default and who need more simultaneous lines during busy windows.

What this tier adds

Add-on on any package: extra concurrent call lines beyond your package default at $10/line/month.

Additional organizations

$20/organization/mo

Ideal for

Agencies and multi-brand teams that need separate workspaces for different clients or business units.

What this tier adds

Add-on on any package: extra workspaces beyond your package default at $20/organization/month.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Every extra concurrent call line beyond your package default runs $10/line/month, billed whether or not traffic actually reaches that concurrency.
  • HIPAA-eligible data handling is a flat $2,000/month add-on that includes the DPA and Business Associate Agreement.
  • Each additional workspace beyond your package default costs $20/organization/month.
  • Pro's $999/mo is a minimum, not a ceiling — the real bill is 10% of your Vapi hosting fee, so it rises as call minutes grow.
  • Intelligence model costs vary roughly 6x by choice ($0.0077–$0.0452/min on OpenAI), so a stronger reasoning model can multiply that line of your bill.
  • Raw data retention is capped by tier (14 days on no-package, 30 on Core, 180 on Pro); keeping longer history means moving up a package.

Where the pricing makes sense

The company stage and team size where Vapi's pricing actually pencils out — and where peers do it cheaper.

Core at $29/mo sits at the low end for a production voice platform and is genuinely self-serve. Pro's $999/mo minimum puts Vapi above simple-usage rivals like Retell or Bland AI, but that gap buys RBAC, ZDR, a 99% uptime SLA, and a dedicated Slack channel. Premier is contact-sales territory and competes on SLAs and a named support team, not on price. HIPAA buyers should budget the extra $2,000/mo on top of whichever package they choose.

Setup time & first value

How long it actually takes to get something useful out of Vapi — broken out by persona, not the marketing-page minute.

On the no-package tier you can deploy a first agent the same day — the natural-language builder turns a prompt into a live agent and $5 of credits covers initial test calls. Teams adding the Core package at $29/mo generally reach production within a week. Premier includes a dedicated deployment engineer embedded in your team with a stated goal of going live in a week.

Switching to or from Vapi

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From Twilio Voice + a self-hosted STT/LLM stack: point your telephony at Vapi or bring your SIP trunk, then rebuild the conversation flow in the Composer.
  • →From Retell AI or Bland AI: recreate agents in Vapi, then use Simulations to compare behavior against your existing caller set before cutting over.
  • →From a scripted IVR: map each menu branch to a Squad workflow and let the agent handle free-form caller intent instead of keypad paths.
Migrating out
  • ↗To a self-hosted stack: since you own your models and data, export transcripts and structured call data and repoint your SIP trunk.
  • ↗To a simpler self-serve voice tool: port prompt logic manually; Campaigns and Model Intelligence have no direct equivalent on lighter platforms.
  • ↗To an enterprise CCaaS suite: keep Vapi as the voice agent layer behind your existing contact-center routing rather than replacing it wholesale.

Integrations

TwilioVonageTelnyxZapierSlackHubSpotSalesforceZendeskDeepgramElevenLabsOpenAIAnthropicGoogle Gemini

Resources & Guides

Tutorials & Learning

YouTube returned 6 videos for “Vapi”, and we withheld 5: 5 could not be judged, because “Vapi” is a single word that other videos use for other things. Showing the 1 we can prove is about Vapi.

Tools that pair well with Vapi

Common stack mates teams adopt alongside Vapi, with the specific reason each pairing earns its keep.

Alternatives to Vapi

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Awaz.ai

Awaz.ai

No-code AI voice agents that run outbound and inbound phone calls, book meetings, and take call-time actions for you.

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Low-latency text-to-speech API and AI voice agents — Murf AI runs real-time phone conversations at 1 cent per minute.

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Synthflow AI

Synthflow AI

Synthflow AI runs enterprise voice AI agents on its own telephony network for automated phone calls at scale.

PaidTry

Frequently Asked Questions

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