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Google Launches Gemini 3.8 Flash TTS and Flash-Lite TTS Models

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x.com
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Google AI@GoogleAI

We’re launching Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS ⚡️ Our most expressive audio models yet let you create custom voices across 100+ languages or pick from 2,000+ ready-to-use ones. You can direct back-and-forth conversations, guide the delivery line-by-line, and add natural cues like <laughs> or an active listening interjection like |mhm| all while generating hours of consistent, glitch-free audio. Sounds pretty cool, right? So… how should you use them? — Gemini 3.8 Flash TTS: Need to design bespoke vocal personas from scratch and with line-by-line level control? This is the model! Built for high-fidelity creative production like gaming, immersive audiobooks, and podcasts. — Gemini 3.8 Flash-Lite TTS: Want the AI to automatically adjust its tone and pacing on the fly for near real-time voice agents? This is your engine! Built for cost-efficient scale, high-volume dubbing, and bulk audio creation.

Context

Google launched two text-to-speech models on September 23, Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS, and its announcement splits them by job. Flash TTS is for production work where a person directs each line, such as games, audiobooks and podcasts, and for designing custom voices from scratch. Flash-Lite TTS adjusts its own tone and pacing on the fly and is aimed at near real-time voice agents and high-volume work such as dubbing and bulk audio, where Google stresses cost-efficient scale.

Both models are directed through the script itself. Google says users can guide delivery line by line, stage back-and-forth conversations, and write cues into the text, such as a laugh tag or an active-listening interjection like mhm, while generating hours of consistent audio. Voices come in more than 100 languages, either custom-built or chosen from more than 2,000 ready-made ones. Writing cues into the script is not new to this generation: Google introduced audio tags with Gemini 3.1 Flash TTS in April. The launch video also shows a user recreating their own voice, which the narration says is protected by a quick verbal identity check; only an automatic transcript of that video was available, so how the check works is not covered here.

The announcement gives no prices, results or availability details. What it supports is a choice between control and speed: Flash TTS when someone wants to direct a performance line by line, and Flash-Lite TTS when a system has to speak quickly and cheaply at volume.

Terms in this piece · Glossary
  • benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
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