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Vapi alternatives, and what to test before you switch
A fair look at Retell, Bland, Synthflow, ElevenLabs Agents, LiveKit and Pipecat, who each one suits, and the calls to run before you move.
By Greg East, 6 minute read. Sources checked .
The main alternatives to Vapi fall into three groups. Retell and Bland, along with ElevenLabs Agents, are hosted platforms you configure, much like Vapi. Synthflow is a hosted platform sold to larger firms on annual contracts. LiveKit Agents and Pipecat are open-source frameworks you write code against and can run yourself. None of them is right for everyone. Choose on how much control you need, who will build the agent and how you want to pay, then run the same test calls on your shortlist before you move live traffic.
Key facts
- Vapi describes itself as "an orchestration layer over three modules: the transcriber, the model, and the voice" (Vapi introduction).
- Retell lets you write the replies yourself with a custom LLM while it handles the call.
- Synthflow's pricing page lists one Enterprise plan, with contracts from $30,000 a year.
- LiveKit Agents is open source under Apache-2.0 (LiveKit on GitHub).
- Pipecat is open source under a BSD-2-Clause licence (Pipecat on GitHub).
What does Vapi do, as a baseline?
Vapi's own docs call it "an orchestration layer over three modules: the transcriber, the model, and the voice", and say each can be swapped for a provider of your choosing (Vapi introduction). So the question when you switch is usually one of these. Do you want less to assemble, more control in code, a different pricing model, or different built-in testing? Our Vapi vs Retell vs Bland guide compares the closest three in detail.
Which Vapi alternatives are there?
| Option | What it is | How you build | Phone lines |
|---|---|---|---|
| Retell AI | Hosted platform | A single prompt, a flow of nodes, or your own LLM over a WebSocket | Your own provider over SIP |
| Bland AI | Hosted platform on its own full stack | Pathways laid out step by step | Bland's own telephony |
| Synthflow | Hosted platform for enterprises | A visual Flow Designer | Its own telephony, or any SIP provider |
| ElevenLabs Agents | Hosted platform | A developer toolkit, dashboard or visual workflow builder | Native Twilio, or a SIP trunk |
| LiveKit Agents | Open-source framework | Python or Node.js code | LiveKit SIP and LiveKit phone numbers |
| Pipecat | Open-source framework | Python code | Serializers for Twilio, Telnyx, Plivo, Vonage and others |
Each row is sourced in the sections below, for example the Retell custom telephony page behind the SIP entry.
Retell AI
Retell is the closest in shape to Vapi. You build with a single prompt or a conversation flow split into nodes. If you want to write the replies yourself, its custom LLM option leaves telephony and transcription to Retell, along with turn-taking and speech synthesis, while your server generates each reply. You can connect your own provider through SIP trunking or SIP URI dialling.
Suits teams who want a hosted platform with flow-based control of the conversation. See how to test a Retell AI agent.
Bland AI
Bland's docs say it owns the full stack, from telephony and speech recognition to the language model and the voice, plus the pathway that steers the call (Bland docs). Its home page says self-hosted and on-premises deployments are available for the most sensitive workloads. For testing, its evaluations use judges and simulated callers, and a failing required judge blocks a version from going live.
Suits teams who would rather deal with one vendor and one per-minute rate than pick each part. We did not find a way to bring your own model, so check that before you commit.
Synthflow
Synthflow describes itself as a voice platform for enterprises, and its home page highlights call centres, retail and healthcare, as well as financial services. You build in a visual Flow Designer. The same page says every agent is tested automatically in its Test Center with simulated conversations, and that it works with your own telephony or any SIP-based provider. Its pricing page lists one Enterprise plan, with contracts from $30,000 a year.
Suits larger organisations that want a managed build and a visual designer. The pricing page lists contracts from $30,000 a year, so check the fit before you start.
ElevenLabs Agents
ElevenLabs says its agent platform is for "developers and enterprises building production agents at scale" (ElevenLabs docs). You can build with its developer toolkit, the dashboard or a visual workflow builder, and choose from supported LLMs or bring your own. Phone calls run through a native Twilio integration or a SIP trunk.
Its testing tools cover several kinds of check. There are simulation tests with a simulated user, next-reply tests and tool call tests, plus tool mocking. You can turn a real conversation into a test, and repeat each test to get a pass rate. Suits teams who want ElevenLabs voices on a hosted platform. See how to test an ElevenLabs agent.
LiveKit Agents
LiveKit Agents is an open-source framework for realtime voice agents, licensed under Apache-2.0, though its turn detection models carry a separate LiveKit Model License (LiveKit on GitHub). You write the agent in Python or Node.js and choose the speech, model and voice providers yourself. The same repository describes a built-in test framework that uses judges. For phone lines, LiveKit telephony handles inbound and outbound calls, sells US numbers through LiveKit Cloud and has been tested with SIP providers including Twilio and Telnyx.
Suits engineering teams who want control in code and the option to host it themselves. See how to test a LiveKit agent.
Pipecat
Pipecat is an "open source framework for voice agents, multimodal apps, and realtime AI", maintained by Daily and the community under a BSD-2-Clause licence (Pipecat on GitHub). You build in Python and pick every provider. The repository lists serializers for phone providers including Twilio, Telnyx, Plivo and Vonage. Daily runs Pipecat Cloud for hosting, and an enterprise option runs your agents in your own cloud account.
Suits Python teams who want to control every stage of the pipeline. See how to test a Pipecat agent.
What should you test before switching from Vapi?
A platform's demo tells you little about your own callers. Before you move, build the same agent on your current platform and on the one you are considering, then run the same calls on both.
- Your main task, start to finish, with the real tools connected.
- A caller who interrupts a long answer, and one who says "mm-hm" mid-sentence.
- A caller who pauses while reading out a number.
- A transfer to a real person, and one where nobody answers.
- A noisy line, and callers with the accents you actually get.
- A tool that fails, to check the agent does not confirm something that did not happen.
- Voicemail, for outbound agents.
Time the gap the caller hears on each recording rather than relying on a vendor's latency figure. Our turn-taking and latency guide explains what to measure. Run each scenario enough times for the pass rate to mean something, as our test calls guide explains. RingTru can ring both agents with the same simulated callers. We have not compared these platforms ourselves yet, and our own benchmark figures are planned.
Check the bill too, and see how to test a Vapi agent for the baseline. Our pricing comparison shows how Vapi, Retell and Bland charge for the same call.
Everything here was checked against the linked vendor pages (for example Vapi's introduction) on 28 October 2026. These guides name the platforms in plain text and are not endorsed by any of them.