Searches for "AI receptionist" have exploded this year, and the market answering them is more confused than the people searching. The phrase now covers at least three different products with three different billing models, and vendors have every incentive to keep you from noticing which one you are actually buying.
An AI receptionist answers your business phone, greets callers, answers routine questions, routes or transfers calls, and books appointments. Every product in this article does roughly that. What differs, and what decides your bill, is how you pay for it:
- Per call. Packaged receptionist services. You buy a bundle of answered calls per month.
- Per minute. Voice AI platforms. You pay for connected talk time and assemble the receptionist yourself, or have someone assemble it for you.
- Owned. A receptionist built on your own infrastructure. You pay to build it once, then pay cents for usage.
The rest of this article prices all three honestly.
Option 1: per-call receptionist services
These are the "sign up today, answering calls tomorrow" products. You configure a greeting and some routing rules, forward your number, and you are live.
Smith.ai publishes a free tier at 25 AI-answered calls a month, a Pro tier at 75 calls, and per-call pricing beyond that. Reviewers place typical AI receptionist spend at roughly $95 to $500 a month depending on volume. Their human-staffed receptionist product is a separate thing entirely, starting around $300 a month for 30 calls, which works out to about $10 per call and explains why the AI product exists.
RingCentral AI Receptionist starts at $49 a month standalone with 100 minutes included, or from $39 a month as an add-on to their phone plans, with per-minute overage after the bundle. Note the unit switch: RingCentral sells a "receptionist" but meters it in minutes, so a chatty caller base drains it faster than a call count would suggest.
The appeal of this category is zero setup effort. The catch is the per-unit price. A $95-per-50-calls plan is about $1.90 per answered call. If your business takes 40 calls a day, per-call packaged pricing stops being cute very quickly: 800+ calls a month puts you in the hundreds of dollars for what is, underneath, a few dollars of actual compute and telephony.
Option 2: per-minute voice platforms
Underneath every packaged receptionist is a voice AI stack: speech recognition, a language model, voice synthesis, telephony. Platforms like Retell, Vapi and Bland sell you that stack directly, metered per minute, and you configure the receptionist behaviour yourself.
We published a detailed teardown of these platforms' pricing, so here is just the receptionist-relevant summary:
| Platform | All-in cost, typical receptionist config | Model |
|---|---|---|
| Bland | $0.14/min, everything bundled | One number to reason about |
| Retell | About $0.13/min with GPT 4.1, components priced separately | Tunable cost/quality trade |
| Vapi | $0.05/min orchestration plus your own providers | Cheapest at volume, most assembly |
Now the comparison that vendors never show you. An average receptionist call runs 2 to 3 minutes. At $0.13 to $0.14 per minute, that is roughly $0.30 to $0.45 per call, against $1.90 per call on packaged plans. The platform route is 4 to 6 times cheaper per call, and what you pay for that saving is setup work: prompt design, routing logic, calendar integration, testing against real callers.
That setup work is real. It is also a one-time cost, while the per-call premium is forever.
Option 3: owning your receptionist
The third model is the one we have direct skin in: we build AI receptionists and run a full AI call center platform, Oye Hello, that answers calls in production today. So read this section knowing we sell it.
An owned receptionist means the stack runs under your control: your telephony account, your model access, your data. Usage costs collapse to raw compute and telephony, typically under $0.10 per call, and there is no vendor between you and your call recordings, which starts to matter the moment a caller mentions a health condition or a legal matter.
The honest math: builds are front-loaded. If your business takes ten calls a day, the build never pays back against a $95 packaged plan, and you should use Smith.ai or RingCentral and get on with your life. The crossover arrives with volume and with requirements:
- Volume. At 1,000+ calls a month, packaged pricing costs $1,500 to $2,000 more per year than a platform config, and several thousand more than an owned stack. Over three years the build is the cheap option.
- Behaviour you cannot configure. Packaged receptionists handle greeting, routing and booking. The moment you want "check the order status in our system before answering" or "qualify the lead against our CRM and only then transfer," you have left their feature set.
- Data control. Per-call and per-minute products both process your callers' audio on their infrastructure under their terms. For clinics, law firms and finance, that is often the whole decision.
What to check before you sign anything
From deployments we have run, the four things that actually bite:
- The unit. Calls or minutes? A "receptionist plan" metered in minutes punishes long calls; one metered in calls punishes high volume. Know your average call length before comparing anything.
- Concurrency. Two callers at 9:01 on Monday morning is the real test. Packaged tiers often cap simultaneous calls silently. Platforms publish it: Retell includes 20 concurrent calls, Vapi 10.
- Transfer behaviour. A receptionist that cannot warm-transfer with context ("Mrs. Alvarez, calling about the Thursday appointment") is an answering machine with a nicer voice. Test the handoff, not the greeting.
- After-hours value. The strongest ROI case for every option here is the calls you currently miss entirely. A missed call is a lost lead at 100% margin. Even the expensive per-call plans beat voicemail.
The short version
- Under ~15 calls a day, no integrations needed: per-call service. Smith.ai's free tier is a genuinely free trial of the whole category.
- Hundreds of calls a month, standard receptionist behaviour, some technical appetite: per-minute platform. Read our platform pricing teardown first.
- Real volume, custom behaviour, or data that cannot leave your control: own it. That is what we build, it runs at roughly half the rate agencies in this space publish, and Oye Hello is the live demo: call it, interrupt it, try to confuse it. If your volume does not justify a build, we will tell you so on the first call, because a reference beats an invoice.
Get the numbers for your call profile.
Pricing verified against vendors' published pricing pages in August 2026. Voice AI pricing changes frequently, re-check before committing. Stackbinary builds custom voice agents and operates Oye Hello, which compete with the products named here. We have tried to be explicit about where using them beats building.
