The Information Machine
Concluded·New·in the edition since 16 Sep 2026·3 sources·updated 16 Sep 2026

Google DeepMind Gemini 3.8 Live voice models

The gist

Google DeepMind Launches Gemini 3.8 Live Real-Time Voice Models

The two models cover different cost and capability tiers for real-time voice AI, with benchmark claims placing Extended Thinking at the top of at least one speech quality index. The built-in SynthID audio watermark addresses provenance and misinformation concerns for AI-generated speech.

The full picture

Google DeepMind released two real-time voice models on September 15, 2026: Gemini 3.8 Live, positioned as cost-efficient and scalable, and Gemini 3.8 Live Extended Thinking, targeting complex multi-step reasoning. Both models process real-time visual input and detect language automatically across 97 languages mid-conversation. Google DeepMind states that Extended Thinking ranked first on Artificial Analysis' Speech to Speech Quality Index with a score of 82.6 and leads agentic task completion benchmarks, while Gemini 3.8 Live placed second in the Speech Agent Arena. Extended Thinking reasons and speaks simultaneously, using verbal cues like 'Let me check that…' to maintain conversational flow, and executes tools and API calls in the background while continuing the conversation. All audio output carries a SynthID watermark, which Google DeepMind describes as woven directly into the audio output to keep AI-generated content detectable and help prevent misinformation.

How it developed
First in the edition · 16 September 2026
15 September 2026

Google DeepMind released two speech-to-speech models on September 15: Gemini 3.8 Live, framed as cost-efficient and scalable, and Gemini 3.8 Live Extended Thinking, which reasons and speaks simultaneously while executing tools in the background.

Google DeepMind states Extended Thinking ranked first on Artificial Analysis' Speech to Speech Quality Index with a score of 82.6 and leads agentic task completion benchmarks, while Gemini 3.8 Live placed second in the Speech Agent Arena. Both models process real-time visual input, detect language across 97 languages mid-conversation, and watermark all audio output via SynthID. Simon Willison noted the models are comparable to OpenAI's GPT-Live models and built a browser-based testing UI from the documentation.

Sources
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