Including the rows where we lose.
Every claim here is verifiable in technical documentation and source code. A comparison table giving us a checkmark in every single row would be dishonest. We highlight the three scenarios where hosted platforms or raw open-source libraries are the superior architectural decision.
By shape of product, not just brand name.
| Capability & Feature | Self-HostedAiFlow | Metered SaaS | Cloud API | Raw OSS Libs |
|---|---|---|---|---|
| One-time priceNo per-minute, per-seat, or subscription charge | Yes | No | No | Yes |
| Runs on your own infrastructure | Yes | No | Partly | Yes |
| Works air-gappedNo licence check or telemetry needs a network | Yes | No | No | Yes |
| Inbound and outbound telephony built in | Yes | Yes | Partly | Partly |
| Camera and screen share in a live call | Yes | No | Partly | No |
| Event-triggered outbound calls and messagesA rule engine, a durable queue, cooldowns, and retries | Yes | Partly | No | No |
| MCP clientOAuth 2.1 with dynamic client registration, so no per-service connector | Yes | Partly | Yes | Partly |
| MCP serverOther clients can call in to place a call or read a transcript | Yes | No | Partly | No |
| Multi-model delegation from a live callHand work to Claude, GPT, or a model you host, mid-conversation | Yes | Partly | Yes | Partly |
| Delegation between separate deploymentsWith a hop and trace guard, so a loop is refused rather than logged | Yes | No | Partly | No |
| A procedure library, separate from a knowledge baseMatched on when to use it, then loaded whole rather than chunked | Yes | Partly | Partly | No |
| Per-capability scopes on machine accessOne scope per tool group, with no wildcard | Yes | Partly | Yes | No |
| Grade a prompt change before it shipsDatasets and LLM-as-judge scoring, for agents and orchestrators | Yes | Partly | Yes | No |
| Admin dashboard for non-engineers | Yes | Yes | Partly | No |
| Audit log, SSO, and role-based access | Yes | Partly | Yes | No |
| Retention windows and right to be forgotten | Yes | Partly | Yes | No |
| White label with resale rights | Yes | Partly | No | Yes |
| Nothing to host or patchWhere a hosted platform genuinely wins | No | Yes | Yes | No |
| Scales across many machinesSeveral instances behind one load balancer, but no elastic scale-out | No | Yes | Yes | Yes |
| Cheapest at low volumeA few hundred minutes a month | No | Yes | Partly | Yes |
What three years actually costs.
Your scale.
Your numbers.
See how platform costs change as your conversations grow.
More room to grow. No platform meter running.
How we calculate this
Using the comparison rates stored in this project: Vapi at $0.05/minute. Excludes model, telephony, hosting, taxes, and operational costs. Vendor plans and inclusions differ; this is a platform-fee estimate, not a full operating-cost quote.
Vendor-by-vendor breakdowns.
- Metered voice platformRead Breakdown →
AiFlow vs Vapi
You assemble and pay for the stack, and then pay Vapi a fee per minute for orchestrating it. Both meters run forever.
- Metered voice platformRead Breakdown →
AiFlow vs Retell AI
The published starting rate is the floor, not the price. What you actually pay depends on choices you make later.
- Metered voice platform, plus subscriptionRead Breakdown →
AiFlow vs Bland AI
You pay a subscription for the privilege of a lower per-minute rate, so both meters run at once and the discount is only real at volume.
- Metered voice platformRead Breakdown →
AiFlow vs Synthflow
Built for speed of assembly rather than for owning what you assemble.
- Cloud platform, metered on several axesRead Breakdown →
AiFlow vs Google Agent Platform
Four meters running at once, and forecasting the bill means forecasting all four. There is no per-minute charge because there is no single number at all.
- Open source frameworksRead Breakdown →
AiFlow vs LiveKit and Dograh
They give you the parts. Everything above the parts, the dashboard, the telephony queue, the knowledge base, the audit log, is yours to build and maintain.