Features, pricing, and fit
Compare Gemini Live API and LiveKit Agents on voice capabilities, pricing, and fit.
Compare Gemini Live and LiveKit Agents for AI phone agents, Voice AI platforms, then match channels, workflows, and deployment models to your call flow.
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.
Explore its buying criteria: AI phone agents · Voice AI platforms.
Realtime agent framework and Cloud platform supporting STT-LLM-TTS pipelines, native realtime models, half-cascade paths, WebRTC, and telephony.
Engineering teams that want to choose pipeline architecture and pair agent infrastructure with their own application logic.
Explore its buying criteria: AI phone agents · Voice AI platforms.
Gemini Live checked 2026-09-28; LiveKit Agents checked 2026-09-04.
Use the table below to compare each provider’s documented scope.
Before you decide
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. LiveKit Agents: Tiered monthly Cloud plans with included session/calling allowances and inference credits; Enterprise adds custom volume pricing. 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.
The recorded knowledge and data sources for Gemini Live include Not publicly documented. For LiveKit Agents, 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.
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. LiveKit Agents: Calculator values are examples, not universal quotes. Team owns logic, data policy, reliability, and contact-center operations.
Record your requirements and pilot results in the buyer worksheet →
Swipe or scroll the table to see every column.
| Criterion | Gemini Live API | LiveKit Agents |
|---|---|---|
| Provider type | Native realtime multimodal model API | Realtime voice agent framework and infrastructure |
| Best fit | Developers building low-latency conversational agents that need native audio, multimodal input, and function calling in a persistent WebSocket session. | Engineering teams that want to choose pipeline architecture and pair agent infrastructure with their own application logic. |
| 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 | open-source framework; WebRTC; SIP; provider plugins; deployment tooling |
| Team sizes | startup; mid-market; enterprise; developer | startup; mid-market; enterprise; developer |
| Call surfaces | WebSocket; server-side applications; client applications using ephemeral tokens | WebRTC; SIP; phone / PSTN; mobile; web |
| 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. | Configurable pipeline with native realtime model support |
| Telephony | Not publicly documented | SIP trunking; carrier integration |
| 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. | Tiered monthly Cloud plans with included session/calling allowances and inference credits; Enterprise adds custom volume pricing. |
| 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. | Calculator examples include roughly $0.01 session, $0.01 telephony, $0.0014 LLM, $0.0058 STT, $0.03 TTS, and $0.01 observability; inputs vary. |
| 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. | LiveKit documents three pipeline modes—STT-LLM-TTS, speech-to-speech realtime, and half-cascade—alongside Cloud deployment, observability, inference credits, and telephony. |
| 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. | Calculator values are examples, not universal quotes. Team owns logic, data policy, reliability, and contact-center operations. |
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.
Engineering teams that want to choose pipeline architecture and pair agent infrastructure with their own application logic.
LiveKit documents three pipeline modes—STT-LLM-TTS, speech-to-speech realtime, and half-cascade—alongside Cloud deployment, observability, inference credits, and telephony.
Verify current pricing, limits, security, and required integrations directly with each provider before purchasing.
Gemini Live supplies the realtime model session. LiveKit supplies an agent framework and realtime infrastructure, and its Google plugin can use Gemini Live as the model. The decision is whether to integrate the model directly or put it inside a broader runtime.
Use direct integration when your team can own transport, session recovery, tool execution and deployment. Evaluate LiveKit when its framework, media transport, telephony paths or provider choices meet your application requirements. Confirm plugin support for the exact Gemini model and configuration you select.
Run the same task through both designs. Compare interruptions, a slow tool, a dropped connection and transfer to a person, then compare model charges, infrastructure, telephony and engineering maintenance. A model rate alone does not describe either complete system.
Keep the Gemini model, prompt, region and task set fixed when testing direct integration against LiveKit. Record end-of-turn to first-audio latency, interruption recovery and task completion for each configuration. If you change models or voices as well, label the result as a comparison of complete configurations.
For pricing, list Gemini usage, LiveKit Cloud or self-hosted infrastructure, phone connectivity and monitoring separately. Estimate a normal month and peak concurrent sessions. Assign an owner for session recovery, tool credentials and incident response before deciding whether framework support saves your team operating work.
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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