Google Launches Gemini 3.8 Flash TTS and Flash-Lite TTS Models
- Source
- Google AI
- Date
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.
Rolling out starting today: — Developers: Both models in @GoogleAIStudio and the Gemini API — Consumers: Gemini 3.8 Flash TTS in @Gemini_Notebook and Gemini 3.8 Flash-Lite TTS in Google Vids — Coming soon: Both models in Gemini Enterprise https://t.co/BYjN0F9BmG
- Google says the Gemini 3.8 TTS models can create custom voices across 100+ languages or use 2,000+ preset voices, and accept inline delivery cues such as <laughs> or an |mhm| listening interjection in multi-speaker dialogue.
- Google positions Flash TTS for high-fidelity creative work with line-by-line control (games, audiobooks, podcasts) and Flash-Lite TTS for cost-efficient scale, adjusting tone and pacing on its own for near real-time voice agents and bulk dubbing.
- Both models are rolling out to developers in Google AI Studio and the Gemini API; consumers get Flash TTS via @Gemini_Notebook and Flash-Lite TTS in Google Vids, with Gemini Enterprise support listed as coming soon.
- AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
Gives developers two API-accessible TTS tiers, one tuned for scripted studio-quality audio and one for cheap real-time voice responses, available now in Google AI Studio.
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