Deepgram vs Tavus
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 Tavus if you want api-first conversational video ai for real-time face-to-face agents (Supervised agent, freemium).
| Deepgram | Tavus | |
|---|---|---|
| What it is | Voice AI infrastructure: speech-to-text, text-to-speech, and a voice agent API | API-first conversational video AI for real-time face-to-face agents |
| Type | platform | platform |
| Autonomy | Assistant | Supervised agent |
| Pricing | usage · $0.0048/min (Nova-3 streaming STT) | freemium · $59/mo (Starter) |
| Best for | developers, enterprise | developers, smb, mid-market, enterprise |
| Deployment | saas, api, self-hosted, on-prem | saas, api |
| Modalities | voice, text, api, code | video, voice, text, api |
| Models | proprietary | proprietary, model-agnostic |
| Protocols | rest-api, function-calling | rest-api, function-calling |
| Integrations | Twilio, LiveKit, Vapi, Amazon SageMaker | OpenAI-compatible LLMs, @tavus/react-cvi (npm), REST API, Daily / WebRTC, custom infrastructure (Vercel, AWS) |
| Capabilities | 4 documented | 6 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
Tavus
- +API-first and bring-your-own-LLM, so the conversation logic and knowledge stay in your stack
- +Low-latency real-time video (reportedly ~600ms speech-to-video) with perception and turn-taking, not just lip-sync
- +Generous free tier and a clear usage-based ladder priced on conversational minutes
- -Minutes-based usage pricing can climb quickly for high-volume, always-on agents
- -It supplies the video front-end, not the agent's reasoning, so you still build and own the LLM and knowledge
Which should you choose?
Deepgram is voice ai infrastructure: speech-to-text, text-to-speech, and a voice agent api, best for developers, enterprise. Tavus is api-first conversational video ai for real-time face-to-face agents, 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.