Vapi vs Retell vs ElevenLabs: which voice agent platform to build on
Short answer: Vapi and Retell AI are both developer-first platforms for building a custom voice agent, charging by the minute for the models and infrastructure involved. Vapi passes through model costs plus a $0.05-a-minute hosting fee, with a $29-a-month Core plan for lighter use, as of October 2026. Retell AI bundles everything into an all-in per-minute rate of $0.07 to $0.31, with pre-built templates that make it faster to get a simple agent running. ElevenLabs' conversational AI platform is the least developer-heavy of the three, sitting inside ElevenLabs' general credit-based plans starting at $5 a month, and is the better starting point if you want voice quality and brand control more than deep call-flow customization.
You or your developer are choosing between Vapi, Retell and ElevenLabs to build a voice agent, and want the real pricing and setup tradeoffs, not marketing copy.
I'm Ranjit, and I run Blur Studio: 15+ years building software, 120 apps taken live, and clients who have gone on to raise $10M+. I build AI systems and processes that help businesses do a lot more with a lot less time. I also work differently from most of what else is out there, more on that further down this page. Say hello.
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Who actually builds on these platforms today
Vapi and Retell are both aimed primarily at developers and technical founders building a product around voice, an agency building voice agents for multiple clients, a startup building a voice-first product, or a technical business owner comfortable configuring APIs and prompts directly. Neither is really marketed or built for a non-technical small business owner to self-serve without help. ElevenLabs sits closer to the middle, its broader product (text to speech, dubbing, voice cloning) is genuinely usable by a non-technical person, but its agent-building tools specifically still benefit from some technical comfort to configure well, particularly for anything beyond a simple FAQ-style agent. The steps and cost of building one are in how to build an AI receptionist.
Price, latency and setup, side by side
| Vapi | Retell AI | ElevenLabs (Agents) | |
|---|---|---|---|
| What it is | Developer platform bundling telephony, transcription, LLM and voice for custom voice agents | Developer platform with pre-built agent templates, similar scope to Vapi | General voice AI platform with a conversational agent builder, less code-first than the other two |
| Pricing model | Pass-through costs per component (transcription, LLM, voice) plus $0.05/minute hosting | All-in per-minute rate, $0.07 to $0.31 depending on model and features chosen | Shared credit pool across all ElevenLabs products, not a dedicated per-minute agent rate |
| Entry price | Free to start with $5 credits; Core plan $29/month | $10 free credits; $2/month per phone number; first 20 concurrent calls free | $5/month (Starter), 30,000 credits/month |
| Setup effort | Higher, more pieces to configure, more control over each component | Lower for a simple agent, thanks to pre-built templates and a "go live in minutes" path | Lowest for voice quality itself, but agent-building tools are less mature than a dedicated voice-agent platform |
| Best for | A developer who wants fine-grained control over every component of the call | A developer or technical founder who wants to move fast with templates rather than building from zero | A business that cares most about voice quality and brand consistency, and wants fewer separate systems to manage |
Why the pricing models are structured so differently
Vapi's pass-through pricing means your actual per-minute cost shifts depending on which transcription provider, language model and voice you select for each agent, cheap combinations can run well under $0.10 a minute, while a premium stack of the priciest options across each component can run closer to $0.30 or more. This gives a developer real control to tune cost against quality per use case, at the expense of needing to actually understand and choose those components. Retell's all-in per-minute rate ($0.07 to $0.31) bundles that same tradeoff into fewer visible decisions, you pick a model tier and get a blended rate, which is simpler to reason about but offers less granular control over where your money is actually going. ElevenLabs doesn't price voice agents by the minute at all, usage draws from the same credit pool as its other products, which is simpler if you're already budgeting for ElevenLabs elsewhere, but makes it harder to isolate exactly what your voice agent specifically costs versus your other ElevenLabs usage.
For developers vs. for business owners
Vapi and Retell are both built assuming a developer is doing the configuration, writing prompts, choosing models, setting up the call flow logic, and maintaining it as requirements change. Retell's pre-built templates lower that bar somewhat for a straightforward use case, but meaningful customization still benefits from technical hands-on work. If you don't have a developer and don't plan to hire one, a packaged product built on top of one of these platforms, like Housecall Pro's CSR AI or Jobber's Receptionist, is almost always a better starting point than building directly on Vapi or Retell yourself.
ElevenLabs sits in a slightly different place. Its core strength is voice quality and the breadth of its platform, text to speech, dubbing, voice cloning and agents all under one account, which matters if you want consistency across multiple use cases rather than picking a dedicated voice-agent specialist. Its agent-building tools are usable without deep development work for simpler setups, though it's less specialized for complex call-flow logic than Vapi or Retell.
Switching between these platforms later is a real cost, not a trivial setting change. Prompts, call-flow logic, and integrations with your calendar or CRM are built specifically against each platform's own structure, so moving from Retell to Vapi, or either to ElevenLabs, means rebuilding most of that configuration rather than exporting and importing it. Factor this into your initial choice, pick based on where you expect your actual needs to land over the next year or two, not just what's easiest to start with today.
Support and documentation, in practice
Retell's pre-built templates come with more structured onboarding documentation aimed at getting a first agent live quickly, which shows in how fast a solo developer or technical founder can get a working prototype running. Vapi's documentation leans more toward exposing every configurable knob across its bundled components, better suited to a developer who wants to understand and control each piece rather than move fast on a template. ElevenLabs' documentation is strongest around its voice and audio products generally, with its agent-specific documentation comparatively less mature than either Vapi's or Retell's, reflecting that voice agents are a newer addition to a platform that built its reputation on text to speech and dubbing first. I cover the agent side in detail in building an AI phone agent with ElevenLabs Agents.
Community and third-party integrations
Both Vapi and Retell have built up a meaningful ecosystem of third-party guides, templates and integration examples, given their developer-first positioning and longer track record specifically in the voice-agent space. ElevenLabs' broader platform has a larger overall community given its wider product range, but its agent-specific ecosystem of guides and examples is comparatively newer and thinner. If you expect to lean heavily on community resources, tutorials, shared prompt templates, troubleshooting discussions, while building, that favors Vapi or Retell over ElevenLabs for the agent-building piece specifically, even if ElevenLabs remains the stronger choice for voice quality.
Verdict
- Building a genuinely custom, complex voice agent with a developer: Vapi, for the most granular control over each component.
- Want to move fast with a developer but don't want to build every piece from zero: Retell AI, for its pre-built templates and simpler all-in pricing.
- Want strong voice quality and fewer separate tools to manage, with lighter development needs: ElevenLabs, especially if you're already using it for other voice needs.
- Don't want to build anything at all: Skip all three and use a packaged product built on top of one of them, like Housecall Pro's CSR AI, Jobber's Receptionist, or a business phone system like Calilio.
Need something completely custom?
Everything above is a path to get it running quick and cheap. But sometimes the honest answer is that none of those quite fit, and what you actually need is something custom that you own, built uniquely for your business from the ground up, with AI thoughtfully designed into the parts of it that your processes actually benefit from. An asset that grows in value, not a generic, one-size-fits-all boilerplate that's an expense with a lock-in. This is a complete bespoke build, and it's something I do very well. Get in touch to know more.
Questions people ask
Which platform is cheapest for a low-volume voice agent?
Vapi's free tier with $5 in starting credits, or Retell's $10 in free credits, both work for light testing before you commit to a paid plan. At real production volume, the cheaper option depends on your specific model and voice choices, run your expected minutes through each pricing page before deciding. What free means on each platform is explained in free AI voice agent options.
Can I switch platforms later if I start on one?
Technically yes, but migrating a working agent's prompts, call flows and integrations to a different platform takes real rebuild time, it's not a simple export and import. Pick based on your actual needs now rather than assuming an easy switch later.
Do any of these work without hiring a developer?
Retell's templates lower the bar for a simple agent, and ElevenLabs' agent builder is usable for straightforward setups. For anything with real custom logic, budget for a developer, or use a packaged product instead of building on any of these three directly.
Which one has the lowest latency?
All three aim for sub-second response times as a goal, and actual latency depends heavily on which specific language model and voice you choose within each platform, not just which platform you pick. Test your actual configuration before assuming a number from marketing copy.