Deepgram vs Vapi
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Deepgram if you want voice ai infrastructure: speech-to-text, text-to-speech, and a voice agent api (Assistant, usage); choose Vapi if you want developer platform for voice ai agents that handle phone calls (Supervised agent, usage).
| Deepgram | Vapi | |
|---|---|---|
| What it is | Voice AI infrastructure: speech-to-text, text-to-speech, and a voice agent API | Developer platform for voice AI agents that handle phone calls |
| Type | platform | platform |
| Autonomy | Assistant | Supervised agent |
| Pricing | usage · $0.0048/min (Nova-3 streaming STT) | usage · $0.05/min platform fee + model costs at cost |
| Best for | developers, enterprise | developers, smb, mid-market, enterprise |
| Deployment | saas, api, self-hosted, on-prem | saas, api |
| Modalities | voice, text, api, code | voice, text, api |
| Models | proprietary | model-agnostic, gpt, claude, gemini |
| Protocols | rest-api, function-calling | rest-api, function-calling, mcp |
| Integrations | Twilio, LiveKit, Vapi, Amazon SageMaker | Twilio, Deepgram, ElevenLabs, OpenAI, Anthropic, Google |
| Capabilities | 4 documented | 4 documented |
Deepgram
- +Mature, competitive STT (Nova) with low per-minute pricing and strong streaming
- +Rare true self-hosted, on-prem, and air-gapped options for regulated and government use
- +A single Voice Agent API collapses the STT-LLM-TTS stack
- -Infrastructure, not a finished product: you build the agent and UX yourself
- -The Voice Agent API is materially pricier, and connection-time billing can surprise
Vapi
- +Deep modularity and control: swap any STT/LLM/TTS provider, bring your own keys and models, fine-tune thousands of config points
- +Low latency at scale with enterprise reliability features (model fallbacks, SOC 2/HIPAA/PCI), validated by large production deployments
- +Transparent usage pricing with at-cost model pass-through and a low platform fee, plus open-source SDKs and a CLI
- -Complexity and steep setup; the no-code builder is limited and non-engineering teams face significant manual configuration
- -Costs can stack unpredictably: the per-minute fee is on top of separately billed provider costs and add-ons
Which should you choose?
Deepgram is voice ai infrastructure: speech-to-text, text-to-speech, and a voice agent api, best for developers, enterprise. Vapi is developer platform for voice ai agents that handle phone calls, best for developers, smb, mid-market, enterprise. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.
This comparison is generated from the sourced Deepgram and Vapi profiles. Open either profile to review its evidence and last-reviewed date.