Google Gemini Live API vs OpenAI Realtime API

For a no-code agency deploying and white-labeling voice AI, the deciding factors are a no-code agent builder and white-labelwhite-label - Rebrand the product as your own to resell it to clients. sub-account support. Neither OpenAI Realtime API nor Google Gemini Live API has verified coverage of either attribute. Both are developer-first APIs requiring code, and neither offers white-label or reseller account structures. On cost, Gemini Live API runs $0.018 per minute with a free tier, while OpenAI Realtime API pricing is not stated. With the two most critical buying criteria unanswered for both tools, no winner can be named.

Both tools are API-first and neither supports bring-your-own LLMBYO LLM - Bring your own language model - use an OpenAI, Anthropic, or self-hosted endpoint instead of the platform default., so those critical pipeline-control factors cancel out. The tiebreaker for engineering teams building custom pipelines is native SIP trunking: OpenAI Realtime API supports it natively, while Google Gemini Live API does not. SIP connectivity is essential for teams wiring real telephony into a custom pipeline without adding a separate third-party layer. OpenAI also exposes WebRTC, WebSocket, and SIP transport plus MCP and tool calling, giving engineering teams more low-level control over the call path.

For ecommerce support flows, integration breadth is the deciding factor. OpenAI Realtime API connects via WebRTC, WebSocket, and SIP plus MCP and tool calling, giving developers direct hooks into order management systems, payment processors, and CRMs. Google Gemini Live API lists LiveKit, Pipecat, Voximplant, and Agora, which are media-layer partners rather than business-app connectors. Both tools offer self-serve signup and no annual contract. Neither publishes a built-in knowledge base or platform fee facts. OpenAI Realtime API also supports native SIP trunkingSIP trunking - Direct phone-network connectivity that lets the platform place and receive calls without a separate carrier in the middle., which aids ecommerce telephony deployments, while Gemini Live API has none.

For HIPAAHIPAA BAA - A signed Business Associate Agreement that lets you handle protected health information under US healthcare privacy law.-bound healthcare workflows, the single most critical requirement is a signed HIPAA Business Associate Agreement, followed closely by SOC 2 Type II certification and consent/recording compliance tooling. Verified data on HIPAA BAA availability, SOC 2 Type II status, consent/recording compliance tooling, GDPR controls, and warm transfer capabilities is unavailable for either OpenAI Realtime API or Google Gemini Live API. Without evidence on these decisive attributes, neither tool can be shown to lead on what matters most for healthcare compliance. Attributes that are documented, such as native SIP trunking (yes for OpenAI Realtime API, no for Google Gemini Live API) and base pricing ($0.018/min for Google Gemini Live API), are secondary concerns here and cannot override the missing compliance evidence.

For outbound sales campaigns, connecting to existing phone infrastructure is a critical practical requirement. OpenAI Realtime API supports native SIP trunkingSIP trunking - Direct phone-network connectivity that lets the platform place and receive calls without a separate carrier in the middle. while Google Gemini Live API does not, meaning teams can route calls through standard carriers and PBX systems directly with OpenAI Realtime API, without additional middleware layers. On pricing, Google Gemini Live API is listed at $0.018/min, while OpenAI Realtime API pricing is not directly comparable from available information, so no cost advantage can be confirmed for either side. Both platforms are API-first with self-serve signup and no annual contract required. Native SIP trunking support is the deciding factor for outbound call-center campaigns, where dialing out through telecom infrastructure is fundamental to operations.

For an SMB receptionist and booking scenario, the deciding factors are platform fee, built-in knowledge base, no-code agent builder, warm transferwarm transfer - Handing a live call to a human with context passed along, rather than a cold drop., and number provisioning. Neither tool publishes information covering monthly platform fee, built-in knowledge base, no-code agent builder, or warm transfer capability, so those critical attributes cannot be scored for either side. On number provisioning, OpenAI Realtime API does not support buying or porting numbers in-platform, and no confirmation exists that Google Gemini Live API does either. With the most important attributes unresolvable, neither tool can be declared the winner.