Deepgram vs ElevenLabs Agents
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 ElevenLabs Agents if you want platform for building real-time voice and chat ai agents (Supervised agent, subscription).
| Deepgram | ElevenLabs Agents | |
|---|---|---|
| What it is | Voice AI infrastructure: speech-to-text, text-to-speech, and a voice agent API | Platform for building real-time voice and chat AI agents |
| Type | platform | platform |
| Autonomy | Assistant | Supervised agent |
| Pricing | usage · $0.0048/min (Nova-3 streaming STT) | subscription · Free tier; paid plans from ~$5/mo + usage |
| Best for | developers, enterprise | developers, mid-market, enterprise |
| Deployment | saas, api, self-hosted, on-prem | saas, api |
| Modalities | voice, text, api, code | voice, text, api |
| Models | proprietary | proprietary, model-agnostic, claude, gpt, gemini |
| Protocols | rest-api, function-calling | mcp, function-calling, rest-api |
| Integrations | Twilio, LiveKit, Vapi, Amazon SageMaker | Twilio, Genesys, Vonage, Telnyx, Plivo, HubSpot |
| 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
ElevenLabs Agents
- +LLM-agnostic on top of best-in-class proprietary text-to-speech and its own speech-to-text
- +Strong first-class telephony story (Twilio, SIP, multiple carriers) with sub-second latency
- +Flexible build paths: no-code builder, SDKs, WebSocket API, function calling, and MCP
- -Layered, recently changed pricing (bundled minutes plus overage plus pass-through LLM cost) makes total cost hard to predict
- -Autonomy is bounded to configured tools, not autonomous out of the box
Which should you choose?
Deepgram is voice ai infrastructure: speech-to-text, text-to-speech, and a voice agent api, best for developers, enterprise. ElevenLabs Agents is platform for building real-time voice and chat ai agents, best for developers, mid-market, enterprise. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.