A shared business phone number for small teams, with an AI agent named Sona that answers calls around the clock on every plan.
Communication comparison
Quo (formerly OpenPhone) vs Smith.ai
Pricing, pros, cons, and ideal use cases — side by side.
Smith.aiPaid
Hybrid AI + human receptionist — handles calls, chats, and lead qualification with human backup.
At a glance
| Quo (formerly OpenPhone) | Smith.ai | |
|---|---|---|
| Pricing | PaidStarter $19/user/month monthly, $15 annual. Business $33/month, $23 annual. Scale $47/month, $35 annual. The Sona AI agent is included on all plans with 1,000 automation credits per month (roughly 10 calls); AI call summaries and transcripts cover Sona-handled calls on Starter and all calls on Business and Scale. AI call tagging is Scale-only. | PaidFrom $292.50/month for 30 calls. Per-call pricing available. |
| Category | Communication | Communication |
| Ideal for | Solo operators and teams under about 20 peopleBusinesses that run on texting as much as callingAgencies and consultancies needing a shared client-facing numberAnyone who wants published pricing instead of a demo call | Law FirmsDentalMed SpaProfessional Services |
Pros & cons
Quo (formerly OpenPhone)
Pros
- Full price ladder published — no demo required to evaluate
- AI phone agent included on every tier, not an add-on
- Shared inbox for calls and texts across the team
- Sub-$20 entry point on annual billing
- Connects to Claude and ChatGPT for analysing calls and contacts
Cons
- Included AI credits cover only about 10 calls a month — high call volume needs a different tool
- Full transcripts and summaries require Business or above
- Not a contact center: no advanced routing, queueing, or workforce management
- Recent rebrand means older documentation, integrations, and reviews still say OpenPhone
Smith.ai
Pros
- AI + human hybrid model
- High call quality
- Lead qualification built-in
- Bilingual support
Cons
- Expensive
- Per-call pricing adds up
- Less control than pure AI
Which should you choose?
Quo (formerly OpenPhone) is built around solo operators and teams under about 20 people; Smith.ai leans more toward law firms. Shortlist the one whose strengths line up with your biggest constraint.
Still deciding between Quo (formerly OpenPhone) and Smith.ai?
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