Compare Gemini Live API and Regal AI Agents on voice capabilities, pricing, and fit.
First, match the provider to the call job
Compare Gemini Live and Regal AI for AI phone agents, then match channels, workflows, and deployment models to your call flow.
Gemini Live: fit and scope
Google's Gemini Live API streams multimodal sessions over WebSockets; its stable native voice-agent models are Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking.
Developers building low-latency conversational agents that need native audio, multimodal input, and function calling in a persistent WebSocket session.
Revenue and contact-center platform with a no-code voice-agent builder, unified customer profiles, event-triggered journeys, IVR/routing, and cross-channel outreach.
Revenue or service teams coordinating inbound and outbound voice with customer-signal-driven journeys.
Gemini Live checked 2026-09-28; Regal AI checked 2026-09-04.
Use the table below to compare each provider’s documented scope.
Before you decide
Gemini Live vs Regal AI: buying questions
How should I compare Gemini Live and Regal AI pricing?
Gemini Live: Standard Live API usage is token-metered: $3 per 1M input audio tokens ($0.005/min equivalent) and $12 per 1M output audio tokens ($0.018/min equivalent), plus separate text-token usage. Accumulated session context is billed each turn, so costs can grow with conversation history. Regal AI: Not publicly documented Ask both vendors to quote the same expected workload, required channels, and implementation scope. Include required subscriptions and usage charges before comparing the total; the listed starting prices alone may cover different work.
Can Gemini Live and Regal AI use my existing data?
The recorded knowledge and data sources for Gemini Live include Not publicly documented. For Regal AI, they include Not publicly documented. Ask each provider to demonstrate access for the exact systems you use, with permissions, freshness, and failure behavior. A source missing from this directory is not proof that a provider cannot support it.
What should I test in a Gemini Live vs Regal AI pilot?
Use the same representative calls, approved instructions, and escalation rules in both pilots. How does it handle interruption and uncertainty? Which actions can it complete, and which require approval? What context reaches a human during transfer? Record conversation quality, completed tasks, human handoffs, and total cost in the buyer worksheet. Check these specific cautions before launch: Gemini Live: Google labels the Live API preview even though both Gemini 3.8 Live model IDs are stable. Native audio sessions use AUDIO response modality; enable output transcription for text. Audio-only sessions are limited to 15 minutes and audio-plus-video sessions to 2 minutes unless extended with session management. Client-to-server apps need ephemeral tokens. Accumulated audio/context is billed per turn. Regal AI: Architecture is undisclosed. Outbound consent, suppression, caller identity, pacing, and jurisdiction rules remain buyer responsibilities.
Developers building low-latency conversational agents that need native audio, multimodal input, and function calling in a persistent WebSocket session.
Revenue or service teams coordinating inbound and outbound voice with customer-signal-driven journeys.
Key capabilities
stable native voice-agent models: gemini-3.8-live and gemini-3.8-live-extended-thinking; bidirectional native audio; text, image, and video input; function calling; asynchronous tool execution; session controls and interruption handling
inbound agents; outbound agents; event-driven outreach; CRM integration; human routing
Team sizes
startup; mid-market; enterprise; developer
mid-market; enterprise; revenue teams
Call surfaces
WebSocket; server-side applications; client applications using ephemeral tokens
phone / PSTN; API / SDK
Voice stack
Native audio agents: Gemini 3.8 Live (gemini-3.8-live) and Gemini 3.8 Live Extended Thinking (gemini-3.8-live-extended-thinking).; Separate TTS models: gemini-3.8-flash-tts and gemini-3.8-flash-lite-tts generate speech; neither is a Live agent.; Separate transcription endpoints: gemini-3.5-transcribe handles audio files; gemini-3.5-transcribe-live is a Live API speech-to-text mode, not a conversational agent.; Separate translation mode: gemini-3.5-live-translate-preview is a Live API interpreter for 70+ languages, not a conversational agent; it is preview.
Not publicly documented
Telephony
Not publicly documented
Not publicly documented
Call controls
Not publicly documented
Not publicly documented
Languages
The Live API documentation lists Japanese (ja) and multilingual support; native audio output can switch languages naturally in conversation. A supported-language list does not guarantee equivalent call quality. Separately, Transcribe lists Japanese (ja-JP) among 85+ languages; Flash TTS lists 130 languages and Flash-Lite TTS 101 (both include Japanese); Live Translate preview supports 70+ languages.
Not publicly documented
Integrations
Not publicly documented
Not publicly documented
Knowledge and data
Not publicly documented
Not publicly documented
Pricing model
Standard Live API usage is token-metered: $3 per 1M input audio tokens ($0.005/min equivalent) and $12 per 1M output audio tokens ($0.018/min equivalent), plus separate text-token usage. Accumulated session context is billed each turn, so costs can grow with conversation history.
Not publicly documented
Pricing signal
Standard paid rates are $0.005/min equivalent for input audio and $0.018/min equivalent for output audio, billed separately plus text tokens; Google also lists a free API tier.
Not publicly documented.
Free plan or trial
Gemini API free tier listed; paid Live usage is token-metered.
Not publicly documented
What stands out
The stable Gemini 3.8 Live models combine native audio dialogue with configurable tool calls over persistent WebSocket sessions; TTS, transcription, and translation are separate supporting models.
Regal documents operational voice controls such as fallback voices, DTMF collection, voicemail settings, and IVR/routing alongside its event-triggered Journey Builder.
Considerations
Google labels the Live API preview even though both Gemini 3.8 Live model IDs are stable. Native audio sessions use AUDIO response modality; enable output transcription for text. Audio-only sessions are limited to 15 minutes and audio-plus-video sessions to 2 minutes unless extended with session management. Client-to-server apps need ephemeral tokens. Accumulated audio/context is billed per turn.
Architecture is undisclosed. Outbound consent, suppression, caller identity, pacing, and jurisdiction rules remain buyer responsibilities.
Gemini Live API: fit and scope
Developers building low-latency conversational agents that need native audio, multimodal input, and function calling in a persistent WebSocket session.
The stable Gemini 3.8 Live models combine native audio dialogue with configurable tool calls over persistent WebSocket sessions; TTS, transcription, and translation are separate supporting models.
Regal AI Agents: fit and scope
Revenue or service teams coordinating inbound and outbound voice with customer-signal-driven journeys.
Regal documents operational voice controls such as fallback voices, DTMF collection, voicemail settings, and IVR/routing alongside its event-triggered Journey Builder.
Verify current pricing, limits, security, and required integrations directly with each provider before purchasing.
Evaluate language support in real calls
Test recognition, speech quality, interruptions, language switching, tool use, and human transfer with your own calls in the required language. Availability can vary by model, plan, and phone route.
DocsBot documents multilingual voice workflows and Japanese support. Verify the exact voice, phone path, and transfer behavior in your pilot. Review DocsBot language information ↗
Other providers’ language claims reflect cited vendor material; confirm Japanese and other required languages directly with each provider.
Listing does not imply endorsement or a performance guarantee. This directory is published by DocsBot. Editorial policy
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Gemini Live API and Regal AI Agents: which fits your call flow?
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