Google releases Gemini 3.8 Live speech-to-speech models
Gemini Live audio
Google's new speech-to-speech models are a direct comparison to OpenAI's GPT-Live family, offering similar functionality for voice conversations.
Google released two new speech-to-speech models, Gemini 3.
8 Live and 3.8 Live Extended Thinking, today.
They are similar in shape to OpenAI's GPT-Live family.The models allow for voice conversations through a browser, including the ability to interrupt the model while it is talking.
Gemini Live audio
Tool: Gemini Live audio Google released Gemini 3.8 Live and 3.8 Live Extended Thinking today - two new speech-to-speech models that are a similar shape to OpenAI's GPT-Live family. I pointed GPT-6 Astra Extra High at the documentation and had it build me this web UI for trying out the new models. You can select a model and voice preset, enter an optional system prompt and then start a voice conversation through your browser, including the ability to interrupt the model while it is talking. The implementation uses no libraries. It connects to the wss://generativelanguage.googleapis.com/ws/google.ai.generativelanguage.v1alpha.GenerativeService.BidiGenerateContent?key=... WebSocket endpoint and uses a Web Audio API AudioContext for both capture and playback. Here's the Gemini Live tutorial for getting started with that WebSockets API. Tags: google , tools , websockets , generative-ai , llms , gemini , llm-release , speech-to-text
This report is categorized under AITOP's "Models" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include Gemini, Google, speech-to-speech, generative-ai.
Source attribution: curated from Simon Willison’s Weblog. Cross-source corroboration: 11 independent sources have covered this development (including Decoder, AI Will, Blognone), confirming industry-wide signal strength.