Vapi vs Retell vs Bland vs Synthflow (2026): The Voice AI Platform Matrix

A full head-to-head of the four AI voice agent platforms plus ElevenLabs Agents, on pricing, latency, bring-your-own-LLM, telephony, and compliance. Vapi $0.05/min, Retell $0.07-$0.31/min, Bland $0.11-$0.14/min, Synthflow from $0.09/min. Verified July 2026.

July 22, 2026 · 1 min read
Vapi platform fee (lowest)
$0.05/min
Vapi platform fee (lowest)
Bland advertised latency
~400ms
Bland advertised latency
support a custom LLM
3 of 5
support a custom LLM
Retell per-minute range
$0.07-$0.31
Retell per-minute range

Vapi, Retell AI, Bland AI, and Synthflow are the four AI voice agent platforms teams shortlist most, with ElevenLabs Agents a common fifth. They orchestrate the same speech-to-text, LLM, and text-to-speech pipeline over a phone line, so the comparison comes down to five things: price per minute, response latency, whether you can bring your own LLM, telephony, and compliance. Every number below is from each vendor's own pricing and docs as of July 2026.

The dividing line is the LLM. Vapi, Retell, and ElevenLabs let you run your own model; Bland is a closed in-house stack; Synthflow gives you a menu of hosted models. That single choice sets your latency floor, your cost curve, and where your call data lives.

TL;DR
  • Vapi — developer-first orchestration at $0.05/min, true OpenAI-compatible custom LLM, widest speech-provider list. Build here.
  • Retell AI — production call operations at $0.07-$0.31/min, batch and outbound campaigns, SIP to any carrier, SOC 2 + HIPAA + GDPR. Operate here.
  • Bland AI — closed in-house stack at $0.11-$0.14/min, data never leaves, advertised ~400ms. Regulated and closed-by-design.
  • Synthflow — no-code builder from $0.09/min voice engine, hosted models, for non-engineers and agencies.
  • ElevenLabs Agents — best voice quality, $0.08/min beyond plan minutes, custom LLM via server integration.

Feature matrix

The five platforms across the axes that decide the shortlist. Scroll the table sideways on mobile.

Voice AI platform matrix (July 2026)
VapiRetell AIBland AISynthflowElevenLabs
Best forDevelopersCall ops at volumeRegulated / closedNo-code / agenciesVoice quality
Platform fee$0.05/min$0.055/min + TTS$0.11-$0.14/min$0.09/min$0.08/min
Custom LLMYes (base URL)Yes (WS relay)NoHosted menuYes (server)
Advertised latency~500-800ms~600ms~400msNot published~75ms TTS
TelephonyFree numbers, SIP, TwilioBuilt-in + any SIPSIP + Twilio + BYONative + SIPTwilio + SIP
ComplianceHIPAA add-onSOC 2, HIPAA, GDPRSOC 2, HIPAA, GDPR, PCISOC 2, HIPAA, ISOHIPAA (Enterprise)
InterfaceAPI / SDKDashboard + APIAPI + dashboardNo-code builderDashboard + API

Pricing, line by line

Voice pricing is a platform or voice-engine fee, an LLM cost, and telephony. Some vendors bundle, some pass through. The headline platform fee is the least useful number; the fully-loaded cost depends on the model and the telephony.

Per-minute pricing (July 2026)
PlatformPlatform / voice feeLLMTelephonyEffective range
Vapi$0.05/minAt cost, $0 with your keyFree US numbers, SIP, Twilio$0.05/min +
Retell AI$0.055/min + $0.015 TTS$0.003-$0.345/min passthrough$0.015/min US, or BYO SIP$0.07-$0.31/min
Bland AI$0.14 free / $0.12 Build / $0.11 ScaleIn-house, bundledSeparate (BYO or managed Twilio)$0.11-$0.14/min + phone
Synthflow$0.09/min voice engine$0.02 mini / $0.04 GPT-5.xManaged Twilio or BYO~$0.11-$0.16/min
ElevenLabs$0.08/min beyond planCustom, billed separatelyAt cost$0.08/min + LLM

Vapi has the lowest platform fee, but it is orchestration only; the real cost is whatever speech and model providers you plug in, and it drops toward $0.05/min when you supply your own keys. Retell spans the widest range because the LLM line runs from $0.003/min (a nano model) to $0.345/min (a realtime model). Bland's lower per-minute rate needs a $299/mo (Build) or $499/mo (Scale) subscription, and telephony is a separate line. Synthflow and ElevenLabs both bill the voice engine and the LLM as distinct lines. The historical Bland "$0.09/min flat" rate is pre-December-2025 and now effectively Enterprise-only.

Latency

A caller reads a pause as a problem. Under ~500ms feels like a conversation, up to ~800ms is acceptable, past ~1000ms feels broken. That budget is split across the pipeline, and the LLM is the biggest and most variable part:

Latency budget by stage
StageTypical latency
Speech-to-text100-300ms
LLM (time-to-first-token)350-1000ms
Text-to-speech90-200ms
Network round trips50-200ms

Advertised platform latency (not audited SLAs): Bland ~400ms (product page cites sub-200ms), Retell ~600ms, Vapi ~500 to 800ms. Synthflow and ElevenLabs do not publish a full voice-to-voice figure; ElevenLabs advertises ~75ms for text-to-speech synthesis alone. Because the LLM is 350 to 1000ms of the total, the model you run is the real lever. On Vapi, Retell, or ElevenLabs, a low-time-to-first-token model keeps the whole pipeline under ~800ms; see the voice agent API and latency guide.

Bring your own LLM

The axis that reorganizes the choice. Owning the model means you control cost, latency, fine-tuning, and data residency. Support ranges from a clean base-URL swap to none.

Custom LLM support (July 2026)
PlatformSupported?How
VapiYesSet provider to custom-llm and paste any OpenAI-compatible base URL. Cleanest of the five.
Retell AIYesHost a WebSocket server speaking Retell's protocol that calls your model. Extra hop and infra.
ElevenLabsYesConnect a custom model through a server integration; LLM billed separately.
SynthflowPartialChoose from a menu of hosted models (GPT family), not an arbitrary endpoint.
Bland AINoClosed. API accepts only proprietary base and turbo models.

Only Vapi is a paste-a-URL swap. Retell supports a custom model but makes you host a relay. Bland is closed by design, which is the core of its security pitch: one vendor, in-house models, no third-party routing. The cost is you cannot adopt a faster or cheaper model when one ships.

Telephony

All five carry calls over the phone network; they differ in whether numbers are built in and whether you can bring your own carrier.

Telephony support
PlatformNumbersCarriersInbound / outbound
VapiUp to 10 free USSIP, Twilio importBoth
Retell AIBuilt-in $2/moAny SIP (Twilio, Telnyx, Vonage)Both + batch campaigns
Bland AIManaged or BYOSIP, Twilio, Amazon Connect, Genesys, Five9Both, outbound at scale
SynthflowNative or BYONative telephony, SIP, TwilioBoth
ElevenLabsVia integrationTwilio, SIPBoth

Compliance

  • Vapi — HIPAA is an opt-in add-on. SOC 2 and GDPR are referenced on its security page; confirm your specific certificate with the vendor before relying on it.
  • Retell AI — SOC 2 Type 1 and Type 2, HIPAA, and GDPR are documented, with a self-serve BAA and DPA.
  • Bland AI — SOC 2 Type II, HIPAA, GDPR, and PCI DSS v4.0 are listed on its site (self-attested); the closed in-house stack is the compliance argument.
  • Synthflow — SOC 2, HIPAA, GDPR, and ISO 27001 badges, with EU and US hosting options.
  • ElevenLabs Agents — BAAs for HIPAA on the Enterprise tier.

For regulated workloads, confirm a signed BAA on your specific plan with any of these before sending protected health information.

When to pick each

Pick Vapi

  • You are a developer who wants the cheapest orchestration fee and to assemble the stack.
  • You want a true bring-your-own-LLM base URL and the widest choice of speech providers.

Pick Retell AI

  • You are running phone operations at volume and want batch and outbound campaigns.
  • You want SOC 2, HIPAA, and GDPR with a self-serve BAA, and SIP to any carrier.

Pick Bland AI

  • You are in a regulated industry and want one closed vendor with in-house models.
  • You value data that never routes to a third party over the ability to swap the LLM.

Pick Synthflow

  • You are a non-engineer or agency and want a working agent from a visual builder.

Pick ElevenLabs Agents

  • Voice quality is the deciding factor and you want the best text-to-speech under the agent.
The model is the part you control

On Vapi, Retell, and ElevenLabs, the LLM is bring-your-own, and it decides most of the latency budget and most of the per-minute bill. Morph serves Gemma 4 31B (morph-gemma4-31b) on an OpenAI-compatible API at api.morphllm.com/v1, so it drops into any of them as a custom LLM by base URL. A dedicated single-tenant endpoint is tuned for sub-300ms time-to-first-token, which keeps the LLM inside the conversation budget. Details in the voice agent API guide.

Frequently asked questions

Is Vapi or Retell better?

Vapi is the developer-first orchestration layer at $0.05/min with a true OpenAI-compatible custom LLM. Retell is built for phone operations at volume at $0.07 to $0.31/min, with campaigns, SIP, and SOC 2 plus HIPAA out of the box. Build on Vapi; operate on Retell.

Which is cheapest: Vapi, Retell, Bland, or Synthflow?

Vapi has the lowest platform fee at $0.05/min, but that is orchestration only. Bland is $0.11 to $0.14/min all-in for the AI stack (telephony separate). Retell is $0.07 to $0.31/min. Synthflow starts at $0.09/min plus $0.02 to $0.04/min for the model. Fully loaded, the cheapest depends on the model you run, not the headline fee.

Does Bland AI support a custom LLM?

No. Bland runs a closed in-house stack; its call API accepts only its base and turbo models. There is no custom-LLM parameter and no OpenAI-compatible base URL. Vapi, Retell, and ElevenLabs all support a custom LLM; Synthflow offers a menu of hosted models.

Which voice AI platform has the lowest latency?

By advertised numbers, Bland (~400ms), then Retell (~600ms), then Vapi (~500 to 800ms). None are audited. The LLM's time-to-first-token is 350 to 1000ms of the budget, so a fast model on a bring-your-own-LLM platform is what actually gets you under ~800ms.

What are the best Vapi alternatives?

Retell for production call operations, Bland for a closed single vendor, Synthflow for no-code, and ElevenLabs Agents for voice quality. LiveKit and Pipecat are open-source frameworks for self-hosting the whole pipeline.

Related

Run your own model behind Vapi, Retell, or ElevenLabs

Three of these five let you point the agent at your own LLM. Morph serves Gemma 4 31B on an OpenAI-compatible API, with dedicated endpoints tuned for sub-300ms time-to-first-token.