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.
This comparison is generated from the sourced Deepgram and Tavus profiles. Open either profile to review its evidence and last-reviewed date.