OpenAI Realtime API vs Pipecat

Pick two tools from the same category to compare side-by-side.

	OpenAI Realtime API Speech-to-speech realtime model API for building low-latency voice agents.	Pipecat Open-source Python framework from Daily for building realtime voice and multimodal conversational agents.
Category	voice	voice
Vendor type	commercial	hybrid
Pricing	usage	freemium
Strengths	+ Single model handling speech-to-speech with reasoning and tool calling + Multiple transports including WebRTC, WebSocket, and SIP for telephony + Low-latency persistent sessions for natural turn-taking + Specialized variants for live translation and streaming transcription	+ Vendor-neutral pipeline with pluggable STT, TTS, and LLM providers + Composable frame/pipeline architecture for custom voice flows + Multiple transport options including Daily WebRTC, LiveKit, and WebSockets + Permissive BSD-2-Clause license
Tradeoffs	− Locked to OpenAI models with no provider choice − Closed, cloud-only API − Realtime audio pricing can be costly at scale	− Pipeline and frame abstractions take time to learn before simple bots feel simple − Latency and reliability depend heavily on the chosen providers and transport, which you must tune yourself
Used in stacks	0	0