Features, pricing, and fit
Compare Decagon Voice and Gemini Live API on voice capabilities, pricing, and fit.
Compare Decagon Voice and Gemini Live for AI phone agents, then match channels, workflows, and deployment models to your call flow.
Voice customer-service agent with configurable voice profiles, outbound calling, human handoff summaries, guardrails, and support-stack integrations.
Support teams that need phone automation connected to CRM, helpdesk, knowledge-base, or CPaaS systems.
Explore its buying criteria: AI phone agents · Contact-center AI.
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.
Decagon Voice checked 2026-09-04; Gemini Live checked 2026-09-28.
Use the table below to compare each provider’s documented scope.
Before you decide
Decagon Voice: Not publicly documented 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. 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 Decagon Voice include Not publicly documented. For Gemini Live, 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: Decagon Voice: Public detail on voice stack, telephony, regions, languages, and rates is limited; validate in a scoped pilot. 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.
Record your requirements and pilot results in the buyer worksheet →
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| Criterion | Decagon Voice | Gemini Live API |
|---|---|---|
| Provider type | Enterprise customer-service agent platform | Native realtime multimodal model API |
| Best fit | Support teams that need phone automation connected to CRM, helpdesk, knowledge-base, or CPaaS systems. | Developers building low-latency conversational agents that need native audio, multimodal input, and function calling in a persistent WebSocket session. |
| Key capabilities | voice support; multi-channel automation; workflows; enterprise integrations; analytics | 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 |
| Team sizes | mid-market; enterprise | startup; mid-market; enterprise; developer |
| Call surfaces | voice; chat; email | WebSocket; server-side applications; client applications using ephemeral tokens |
| Voice stack | Not publicly documented | 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. |
| Telephony | Not publicly documented | Not publicly documented |
| Call controls | Not publicly documented | Not publicly documented |
| Languages | Not publicly documented | 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. |
| Integrations | Not publicly documented | Not publicly documented |
| Knowledge and data | Not publicly documented | Not publicly documented |
| Pricing model | Not publicly documented | 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. |
| Pricing signal | Not publicly documented. | 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. |
| Free plan or trial | Not publicly documented | Gemini API free tier listed; paid Live usage is token-metered. |
| What stands out | Decagon combines voice turn-taking and profile controls with concise human handoff summaries, MCP/API connectivity, and cross-channel CRM/helpdesk/knowledge sync. | 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. |
| Considerations | Public detail on voice stack, telephony, regions, languages, and rates is limited; validate in a scoped pilot. | 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. |
Support teams that need phone automation connected to CRM, helpdesk, knowledge-base, or CPaaS systems.
Decagon combines voice turn-taking and profile controls with concise human handoff summaries, MCP/API connectivity, and cross-channel CRM/helpdesk/knowledge sync.
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.
Verify current pricing, limits, security, and required integrations directly with each provider before purchasing.
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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