Following our announcement of Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking last week, we are thrilled to share that Gemini 3.8 Live with Live Avatar is now generally available in Gemini Enterprise. First previewed at Google Cloud Next 2026, the technology is now officially ready for enterprise production. As enterprise voice AI evolves beyond basic speed and cost metrics, our priority has shifted to making each interaction even higher quality. Gemini 3.8 Live already delivers a native speech-to-speech foundation for fluid, responsive dialogue. The Live Avatar feature brings an interactive visual presence to conversational video agents across web, mobile, and interactive kiosks. Together, you’ll have access to: Video avatars: Conversational video with the Live Avatar feature can generate video avatars with synchronized lip-syncing. Note: Custom avatar feature is available via allowlist only. Fluid dialogue: Native speech-to-speech means more natural interruption recovery without dropping conversation context or backend transactions. Tool calling: It executes tools and API calls in the background while continuing the conversation, so the model can acknowledge requests and keep chatting while tasks finish in the background. Breaks language barriers: Gemini 3.8 Live understands and speaks 97 languages, with automatic language detection. Make it easy for agents to see what your user sees: Live visual understanding can process live camera feeds and screen shares alongside audio, all at the same time. Though Gemini 3.8 Live Extended Thinking remains in private preview, Gemini 3.8 Live with Live Avatar is now available with US and EU endpoints, with provisioned throughput, enterprise compliance, and strict data governance. Try the model and its features in Gemini Enterprise, and start building now with API. Trust and transparency at its core To safeguard identity and prevent misuse, customers can deploy from a library of curated, pre-built avatars, while custom avatar creation is gated behind a strict enterprise allowlisting and verification process. Furthermore, all generated audio and video streams carry imperceptible SynthID watermarks, ensuring AI-generated content remains transparent and verifiable. Three demos of Gemini 3.8 Live with Live Avatar in action #1: Interactive custom avatar Gemini 3.8 Live with Live Avatar Create an interactive custom avatar in a step-by-step process Watch how Gemini 3.8 Live makes it possible to build a custom avatar by adding system instructions, uploading a single reference photo and audio file sample. Demo #2: Live video understanding in a voice-first claims intake Gemini 3.8 Live demo for insurance claim agent Streamline claims intake with live video understanding using Gemini 3.8 Live In this demo, you’ll see a common use case come to life using Gemini 3.8 Live: an intake agent. In this scenario, we chose an insurance claims agent. You talk and show the damage on camera, and the claim notebook fills itself in as you go. In the background, an ADK agent team checks the policy, applies the intake rules, and builds the adjuster packet. To dive deeper, check out the open-source code. #3: A real-time voice AI agent with Google ADK and Gemini Live API Build a real-time voice AI agent with Google ADK and Gemini Live API Build a live voice agent using Google ADK and Gemini Live API See how developers can use Agent Development Kit (ADK) to define agents, manage runners and session memory, and stream real-time audio directly to the Gemini Live API without a traditional speech-to-text pipeline. How our customers are innovating with Gemini 3.8 Live with Live Avatar Cox Automotive built an AI-powered shopping assistant for Autotrader that uses live screen-highlighting and tool-calling capabilities to guide car shoppers through vehicle search, comparison, and financing — in real time, through natural conversation. “Shoppers increasingly expect to describe what they need in their own words rather than
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