7 Best Vapi Alternatives for Production Voice AI in 2026

Choose Dasha if you want a managed production runtime with a visual dashboard plus API and telephony control. Consider Retell AI for an integrated hosted phone-agent platform, Bland AI for bundled AI usage and enterprise deployment options, or Telnyx when you want the carrier and voice stack from one vendor. ElevenLabs Agents fits voice-led products, Synthflow fits sales-led enterprise deployments, and LiveKit Agents fits teams prepared to own more of an open-source stack.

These products do not leave the same work with your team. A $0.05 hosting fee, a $0.14 bundled AI minute, and a free framework are different commercial units. The useful comparison is who operates the real-time path, which vendors remain in it, what the complete call costs, and how you will test failures before moving production traffic.

Vapi alternatives at a glance

Main tradeoffs

• Dasha: The dashboard covers agent setup and testing; custom logic, integrations, and production acceptance can still require engineering.
• Retell AI: Total cost and behavior change with the selected components.
• Bland AI: The bundled stack gives you less provider-level choice than Vapi.
• Telnyx Voice AI: Fewer vendor seams create deeper dependency on the Telnyx network and model ecosystem.
• ElevenLabs Agents: The core speech and turn-taking path stays in the ElevenLabs ecosystem.
• Synthflow: Not a low-commitment self-serve choice for a developer testing a small workload.
• LiveKit Agents: Self-hosting transfers scaling, monitoring, upgrades, and incident response to your team.

Prices were observed on August 10, 2026. Plan, region, carrier route, model, voice, add-ons, and enterprise requirements can change the total.

What Vapi provides, and why teams compare alternatives

Vapi is a hosted, API-first platform for voice agents. Its current building blocks are Assistants for single-agent work and Squads for multi-agent handoffs. Vapi coordinates telephony or real-time transport, speech-to-text (STT), a large language model (LLM), text-to-speech (TTS), tools, and conversation state.

Provider choice is a real advantage. You can use supported providers, supply eligible provider keys, connect custom model or speech endpoints, and bring a carrier through SIP. But Vapi's data-flow documentation says the proprietary orchestration layer still runs on Vapi infrastructure. Bring-your-own components do not make the runtime self-hosted.

Vapi pricing currently lists:

• $0.05 per call minute for Vapi hosting
• $0.005 per chat or SMS message
• 10 concurrent calls included, then $10 per additional reserved line per month
• STT, LLM, and TTS costs passed through at cost, or billed directly by the provider when you supply a key
• carrier costs outside the hosting rate
• HIPAA as a $2,000/month add-on and Zero Data Retention as a $1,000/month add-on on the public plan

New accounts receive $5 in starter credit. The $0.05 figure is therefore a platform layer, not the total price of a production phone call.

One current product transition also matters. Vapi says its visual Workflows product will retire on August 18, 2026, and existing Workflows will stop running on August 19. Teams using that builder must move to Assistants or Squads.

None of this makes Vapi a poor product. It explains the reasons a team might compare alternatives: a different runtime boundary, a more predictable bundle, fewer provider seams, a no-code operating model, or more source-level control.

1. Dasha: best for a managed runtime with dashboard and API control

Best for: Teams building voice AI products that want visual agent setup and testing without giving up APIs, SIP connectivity, tools, or downstream integrations.

We built Dasha as a managed production platform rather than a marketplace of loosely connected components. Teams can define agent behavior in the dashboard or through REST APIs, connect business systems through tools and webhooks, and run inbound or outbound calls through SIP while we operate the real-time runtime.

The dashboard supports browser-based voice and chat tests with real-time transcripts, plus phone tests for the complete telephony path. After a call finishes, Call Inspector shows its transcript, recording, model interactions, tool executions, timeline events, and component timing. REST APIs expose call history and results, while lifecycle and tool webhooks connect Dasha to downstream systems. Your team still owns business rules, customer data, carrier and compliance choices, and production acceptance.

Dasha pricing includes 1,000 minutes on the Developer plan. Growth starts at $0.08 per connected minute, billed to the second, excluding Voice over Internet Protocol (VoIP) and LLM tokens. Dasha says unsuccessful connection attempts are not charged at the agent layer and Growth has no per-line fee.

Dashboard-based agent setup and browser testing require no code. Engineering becomes relevant when you add custom tools or webhooks, automate workflows through the API, connect a SIP carrier, or embed Dasha in your product. Operations teams can own routine configuration and call review while developers handle the deeper integration paths.

Use Dasha when you want a managed voice AI backend with a dashboard for setup and testing plus API and SIP paths for scaled production work.

2. Retell AI: best for integrated hosted phone operations

Best for: Teams that want voice-agent building, phone connectivity, simulation testing, transcripts, analytics, and operational supervision in one hosted product.

Retell AI is one of the closest direct Vapi alternatives. Its platform supports prompt-based and visual agent construction, phone numbers and SIP, tools and webhooks, simulations, post-call analysis, and live call monitoring. That makes it a practical shortlist option for appointment booking, support, qualification, and transfer-heavy phone workflows.

Retell pricing publishes a $0.07-$0.31 per-minute range for AI voice agents. The calculator separates voice infrastructure, TTS, LLM, telephony, safeguards, quality assurance, and other add-ons. Twenty concurrent calls are included on pay as you go.

Retell can reduce the amount of separate infrastructure an operations team sees, but it does not eliminate configuration risk. Voice, model, telephony, and guardrail choices still change latency, cost, and failure behavior. Treat the low end of the range as a starting configuration, not a quote for your production workload.

Choose Retell over Vapi when integrated phone operations and supervision matter more than the broadest provider composition. Keep Vapi when provider choice and custom endpoints are the deciding requirements.

3. Bland AI: best for bundled AI pricing and controlled enterprise deployments

Best for: Teams that want one rate for the AI portion of a call, predictable plan limits, and an enterprise path that advertises dedicated infrastructure and VPC or on-premises deployment.

Bland combines its agent platform, speech recognition, language model use, and text-to-speech in the per-minute AI rate. It supports APIs, SIP and customer telephony, knowledge bases, transfers, and enterprise implementation support.

Bland pricing currently lists three self-serve tiers:

• Start: $0.14/min, no platform fee, 10 concurrent calls
• Build: $0.12/min plus $299/month, 50 concurrent calls
• Scale: $0.11/min plus $499/month, 100 concurrent calls

The listed rate includes LLM, STT, and TTS. Telephony is separate, either through your carrier or Bland at pass-through cost. Transfer charges and daily call limits vary by plan.

Bundling makes forecasting easier than a five-vendor invoice. The tradeoff is provider control: you are choosing Bland's integrated AI path rather than Vapi's broad mix-and-match model. Enterprise deployment and compliance claims also need contract-level review; a pricing-page statement is not a substitute for architecture, data-flow, and audit evidence.

4. Telnyx Voice AI: best for carrier-integrated infrastructure

Best for: Teams that want phone connectivity, orchestration, STT, and TTS from the same infrastructure provider.

Telnyx approaches voice agents from the carrier layer. Its Voice AI Agents product combines its communications network with orchestration and speech services, and it exposes APIs, SIP, tools, knowledge, and observability. That can remove handoffs between a separate carrier and a separate speech/orchestration vendor.

Telnyx pricing lists $0.05/min for the voice engine, including orchestration, STT, and TTS. LLM usage is billed separately, and telephony starts at the carrier rate for the chosen route. The page's displayed production estimate is configuration-dependent, so build your own estimate rather than copying it.

Vertical integration is both the advantage and the dependency. Fewer vendor seams can simplify diagnosis and billing, but switching the carrier or inference layer later may require more work than changing one component in Vapi. Telnyx is strongest when consolidating those layers is an intentional architecture decision.

5. ElevenLabs Agents: best when voice is the product priority

Best for: Teams that want a broad voice catalog and a managed agent path across phone, browser, or application experiences.

ElevenLabs Agents combines the company's speech stack with conversational turn-taking, tools, knowledge sources, testing, analytics, and telephony or web integrations. It is a stronger Vapi substitute than a standalone TTS API because it can run the conversation loop rather than only generate audio.

ElevenLabs API pricing lists the Agents speech engine at $0.08/min. Plan allowances, LLM use, carrier costs, concurrency, and burst pricing can change the final amount. Model the full call rather than comparing the speech-engine number with Vapi hosting alone.

ElevenLabs is a natural fit when voice selection, multilingual speech, or a shared audio platform is the core requirement. It is less neutral when you want to move speech providers freely: the managed speech and turn-taking layers are part of the ElevenLabs ecosystem.

For a deeper vendor-specific evaluation, see our current ElevenLabs alternatives guide.

6. Synthflow: best for a sales-led enterprise rollout

Best for: Enterprises that want implementation support, visual workflow ownership, integrations, testing, and launch assistance under a scoped contract.

Synthflow positions its current offer around enterprise deployments rather than a low-cost self-serve experiment. Its product includes voice-agent building, telephony and SIP options, CRM and calendar integrations, handoffs, testing, quality assurance, and implementation support.

Synthflow pricing says enterprise contracts start at $30,000 annually. Final pricing depends on call volume, concurrency, telephony, integrations, security needs, and launch support.

That commercial model fits an organization that wants the vendor involved in deployment and ongoing optimization. It is a poor fit for a developer who wants to compare a few hundred minutes with no annual commitment. Compared with Vapi, Synthflow trades some code-first component freedom for a more guided operating model.

7. LiveKit Agents: best for open-source control

Best for: Engineering teams that want source-level control of real-time media and agent code and can staff deployment and operations.

LiveKit Agents is an open-source framework for voice and multimodal agents. It supports real-time media rooms, STT-LLM-TTS pipelines and speech-to-speech models, tools, interruptions, handoffs, WebRTC, and SIP. Teams can self-host or use LiveKit Cloud for managed deployment and observability.

LiveKit Cloud pricing itemizes the stack. The displayed calculator starts with a $0.01/min agent session, then adds telephony or WebRTC, LLM, STT, TTS, and optional observability. A self-hosted framework removes some vendor charges, but it adds infrastructure, autoscaling, storage, monitoring, upgrades, security work, and on-call ownership.

LiveKit is not the easiest drop-in replacement for Vapi. It is the control-oriented choice. Pick it when owning the media and runtime layer creates product advantage and your team is willing to operate it. Pipecat is another open-source framework in this category; it is maintained by Daily and likewise requires a production transport, providers, deployment, and operations around it.

What current Vapi reviews do and do not tell you

Vapi's public review signals are too small and too different to combine into one trustworthy score.

• Product Hunt shows 4.9/5 from 25 reviews. Its summary emphasizes fast prototyping, developer experience, integrations, documentation, provider choice, and support. Reviewers also ask for better debugging, observability, interruption handling, latency, memory, and reliability. Eighteen of the 25 are labeled founder reviews.
• G2 shows 4.2/5 from three reviews. Ease of use and integrations are positive themes. Three reviews are too few to establish broader strengths or weaknesses.
• As observed on August 10, 2026, Trustpilot showed 2.4/5 from 15 reviews on an unclaimed profile. Complaints in that sample often concerned price expectations, support, reliability, and dashboard behavior. Trustpilot says the sample may not be representative and does not fact-check individual claims.

The overlap is a testing plan, not a verdict. Measure caller-audible latency on your provider mix, deliberately fail tools and providers, inspect traces, reconcile the complete invoice, and test support and rollback before you move production traffic.

How to choose the right Vapi alternative

1. Choose the ownership boundary first

Decide whether you want a hosted orchestration platform, a managed runtime, a carrier-integrated stack, a no-code enterprise service, or an open-source framework. This choice determines more of your future work than a long feature checklist.

Map who owns telephony, real-time transport, STT, LLM, TTS, orchestration, tools, storage, monitoring, and incident response. If a vendor owns several layers, diagnosis may be simpler but the switching boundary gets wider.

2. Compare loaded cost, not the lowest visible rate

Use the same cost model for every finalist:

loaded connected-minute cost =
  runtime + telephony + STT + LLM + TTS
  + recording + evaluation + capacity + support and compliance fees

Then calculate cost per successful outcome. Include minimums, rounding, failed attempts, voicemail, transfers, burst concurrency, phone numbers, storage, and engineering. Our AI voice agent pricing guide provides a more detailed worksheet.

3. Run the same production pilot

Use the same call flow, carrier route, tools, knowledge, languages, and success criteria for every product. Measure end-of-user-speech to first audible response at P50, P95, and P99. Test interruption recovery, noisy audio, tool timeouts, provider failure, transfer, long calls, peak starts, and rollback.

A polished demo on one short call does not establish reliability. A smaller pilot with comparable evidence is more useful than a vendor benchmark measured with a different route or model.

A practical Vapi migration checklist

1. Freeze the current Vapi configuration. Export or record Assistants, Squads, prompts, tools, knowledge, variables, model and voice settings, phone numbers, and environment differences.
2. Map every external dependency. Identify Vapi-hosted components, customer provider keys, custom endpoints, carriers, storage, webhooks, and security add-ons.
3. Rebuild tools and events deliberately. Match authentication, timeouts, retries, idempotency, transfer decisions, and failure responses instead of translating field names only.
4. Preserve the data you actually need. Decide how transcripts, recordings, summaries, logs, retention, and deletion work on the new platform before traffic moves.
5. Test telephony separately. Porting or re-pointing SIP and numbers can be staged independently from prompts and agent logic. Validate caller identity, inbound routing, outbound reputation, transfers, and emergency behavior.
6. Create a regression set. Include successful calls and known failures, then compare outcomes, latency, tool behavior, and cost on both platforms.
7. Run in parallel. Move a small traffic share, hold a rollback path, and increase volume only after operational and business metrics pass.

Migration is not impossible, but it is wider than copying a system prompt. Provider choice can make some components portable; hosted orchestration, logs, tests, and operating procedures still need replacement.

When Vapi is still the better choice

Stay with Vapi when you value broad hosted provider choice, custom model or speech endpoints, SIP and carrier flexibility, and a mature set of current eval, simulation, monitoring, and call-artifact tools. It is also a reasonable choice when your product is already stable and the expected benefit of a platform change does not exceed the migration and retraining cost.

Vapi is less aligned with a requirement to run the complete orchestration plane in your own infrastructure. It may also be less predictable for a buyer who wants one bundled per-minute bill. Those are architecture and procurement differences, not proof that another vendor will produce better conversations.

Frequently asked questions

Is there an open-source alternative to Vapi?

Yes. LiveKit Agents and Pipecat are current open-source frameworks for real-time voice and multimodal agents. They give you more source and deployment control, but they are not free production systems. You still need transport or telephony, model and speech providers, deployment, scaling, observability, storage, security, and on-call support. LiveKit Cloud is a managed option for part of that workload.

Why is Air AI not included?

The older Air AI comparison cannot support a current recommendation. The air.ai domain now describes an enterprise-readiness platform rather than a voice-agent product, and we could not verify a current official voice-product or pricing page. Carrying forward old feature claims or ratings would mislead buyers.

Can I keep my carrier or model providers when I leave Vapi?

Sometimes. A custom SIP trunk, customer-owned provider keys, and custom model or speech endpoints can reduce the scope of a move. Portability depends on the destination platform. You still need to migrate agent configuration, tools, event handling, knowledge, tests, logs, recordings, security controls, traffic routing, and rollback procedures.

Evaluate Dasha with your real call flow

Choose the platform that leaves your team with responsibilities it can operate well. If you want a managed runtime with a visual dashboard, APIs, SIP connectivity, tools, testing, and production visibility, evaluate Dasha's voice AI backend.

Start with the current Developer plan, configure one complete call flow in the dashboard or through the API, and run the same failure and cost tests against another finalist before committing production traffic.