Deepgram Voice Agent API vs Vapi

For no-code agency deploys and white-labelwhite-label - Rebrand the product as your own to resell it to clients. resale, the two most critical factors are a no-code agent builder and white-label sub-account support. Vapi offers a confirmed no-code agent builder and partial white-label capability for agencies, while Deepgram Voice Agent API publishes no such features. On production cost, Vapi's real range is $0.05-$0.17/min with LLM and TTS passed through at cost, giving agencies direct margin control. Deepgram's all-in rate is $0.075/min with no passthrough, meaning underlying model costs are bundled rather than transparent, which makes resale margin calculation harder. Vapi also carries a $0/mo platform fee, native outbound campaigns, and a rich native integration list including GHL, Zapier, Make, and Google Calendar. Deepgram is a strong API-first infrastructure play but is simply not positioned for no-code agency resale.

For engineering teams building custom pipelines, the ability to bring your own LLMBYO LLM - Bring your own language model - use an OpenAI, Anthropic, or self-hosted endpoint instead of the platform default. and full API-first control are the deciding factors, and both Vapi and Deepgram Voice Agent API support both. Both also support bring-your-own TTS voice. Vapi adds a simulation/testing suite and native SIP trunking, which Deepgram does not publish details for. Deepgram offers self-host/on-prem deployment, which matters for teams needing full infrastructure control. Vapi publishes a 600 ms median end-to-end latency figure; Deepgram does not publish a comparable number. On pricing, Vapi starts at $0.05/min versus Deepgram at $0.075/min, though Deepgram offers $200 free credit upfront. The tools are genuinely balanced on the attributes that matter most here, with each holding a meaningful edge in different secondary areas.

For HIPAAHIPAA BAA - A signed Business Associate Agreement that lets you handle protected health information under US healthcare privacy law.-bound healthcare workflows, the single most critical requirement is a Business Associate Agreement. Vapi offers a BAA, but only as a paid add-on, not included on the base plan. Deepgram Voice Agent API has no published confirmation of a BAA at all. Neither tool clearly delivers an out-of-the-box BAA. On SOC 2 Type II, Vapi explicitly reports no certification, and Deepgram publishes nothing on this either. Vapi does have verified consent and recording compliance tooling and warm transfer to human, giving it some edge on supporting attributes. However, the two most decisive compliance requirements for healthcare remain unmet or unconfirmed by both platforms, making a clear winner impossible to name.

Both platforms support native outbound campaigns, so that capability is a wash. On production cost, Vapi's real cost runs $0.05-0.17/min versus Deepgram Voice Agent API's flat $0.075/min, giving Vapi a cheaper floor for high-volume dialing. Vapi also includes 10 concurrent calls at the base tier with extra lines at $10/mo each, while Deepgram publishes no comparable concurrencyconcurrency - How many phone calls the platform can handle at the same time. detail. For call-center deployments, Vapi additionally supports native SIP trunking and warm transfer to human agents, rounding out a more complete outbound stack.

For an SMB running a receptionist and booking service, keeping overhead low is the deciding factor. Vapi charges $0/mo platform fee versus Deepgram Voice Agent API's $0.075/min all-in rate, making Vapi far cheaper to run at low call volumes. Vapi also ships a built-in knowledge base, a no-code agent builder, warm transferwarm transfer - Handing a live call to a human with context passed along, rather than a cold drop. to human, and in-platform number provisioning, covering every core SMB workflow out of the box. Deepgram Voice Agent API does not publish equivalent no-code or knowledge-base capabilities. Vapi's richer feature set at zero monthly overhead is purpose-built for exactly this use case.