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.