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Head-to-head · AI Voice Agents

Pipecat vs Deepgram Voice Agent API

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score Pipecat #4 in AI Voice Agents 9.1/10 Open source ✓ 4 of 4 features Visit Pipecat
Deepgram Voice Agent API #5 in AI Voice Agents 9.0/10 Paid ✓ 4 of 4 features Visit Deepgram

Pipecat leads on 0 checks, Deepgram Voice Agent API on 0, and 5 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scorePipecat · 9.1/10

Pipecat scores higher on our rubric for ai voice agents: 9.1 against 9.0 out of 10; our editors rank them #4 and #5.

Pipecat is the better fit for teams building composable voice pipelines. Deepgram Voice Agent API is the better fit for developers building customizable voice infrastructure.

  • Pipecat fits best

    Teams building composable voice pipelines

  • Deepgram Voice Agent API fits best

    Developers building customizable voice infrastructure

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Side by side

Feature Pipecat 9.1/10 Visit ↗ Deepgram Voice Agent API 9.0/10 Visit ↗
At a glance
Editor score 9.1 9.0
Ranking #4 in AI Voice Agents #5 in AI Voice Agents
Best for Teams building composable voice pipelines Developers building customizable voice infrastructure
Pricing model Free Paid
Starting price Free $0.06 usage-based
Free plan Not checked yet —
Free trial — —
Deployment Cloud, Mobile, Self-hosted Cloud, Self-hosted
Platforms Web, iOS, Android Web
Integrations 12 integrations 11 integrations
Features Pipecat 4/4 · Deepgram Voice Agent API 4/4
Inbound calls ✓ ✓
Outbound calls ✓ ✓
Human handoff ✓ ✓
Custom phone numbers ✓ ✓
Specs
Supported languages Not checked yet Not checked yet
Concurrent calls Not checked yet 45 calls
Our review
Pros
  • Combines audio, video, text, image, AI-service, and transport components
  • Supports multi-agent handoffs, parallel execution, and PSTN/SIP calling
  • Offers CLI deployment workflows plus metrics, traces, and OpenTelemetry
  • One WebSocket pipeline combines speech recognition, LLM processing and speech output.
  • Choose LLM and TTS providers, with function calling and turn-taking controls.
  • Supports inbound and outbound telephony plus self-hosted deployment.
Cons
  • Building agents requires assembling pipeline components
  • Pipecat Cloud hosting is priced per active agent minute
  • The listed Cloud profiles range from voice-only to voice-and-video workloads
  • Requires development work to configure and build voice-agent applications.
  • Per-minute pricing varies by tier and provider choices.
  • Custom - BYO LLM + TTS has no listed per-minute rate.
Our verdict

Pipecat is an open-source Python framework for developers building real-time voice and multimodal conversational agents. Its composable pipelines cover speech recognition, language models, text-to-speech, transport, tools, and conversation…

Read the review →

Deepgram Voice Agent API gives developers a streaming foundation for real-time voice applications, combining speech-to-text, LLM orchestration and text-to-speech over a single WebSocket connection. It is aimed at developers and enterprises…

Read the review →
  1. PipecatAI Voice Agents 9.1Open source
  2. Deepgram Voice Agent APIAI Voice Agents 9.0Paid

Strengths and trade-offs

  • Pipecat — where it wins

    • Combines audio, video, text, image, AI-service, and transport components
    • Supports multi-agent handoffs, parallel execution, and PSTN/SIP calling
    • Offers CLI deployment workflows plus metrics, traces, and OpenTelemetry

    Where it doesn't

    • Building agents requires assembling pipeline components
    • Pipecat Cloud hosting is priced per active agent minute
    • The listed Cloud profiles range from voice-only to voice-and-video workloads

  • Deepgram Voice Agent API — where it wins

    • One WebSocket pipeline combines speech recognition, LLM processing and speech output.
    • Choose LLM and TTS providers, with function calling and turn-taking controls.
    • Supports inbound and outbound telephony plus self-hosted deployment.

    Where it doesn't

    • Requires development work to configure and build voice-agent applications.
    • Per-minute pricing varies by tier and provider choices.
    • Custom - BYO LLM + TTS has no listed per-minute rate.
  • Pipecat9.1/10 · Open source

    A composable Python framework for building and deploying voice and multimodal agents.

    Visit PipecatFull verdict →
  • Deepgram Voice Agent API9.0/10 · Paid

    A configurable voice-agent stack with provider choice, telephony and self-hosting.

    Visit DeepgramFull verdict →

More comparisons

All AI voice agents comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update