Gemini 3.1 Flash TTS: Next-Generation Expressive AI Speech Model
Key Points
- Audio tags enable granular control over vocal style and pacing
- Supports 70+ languages with native multi-speaker dialogue
- SynthID watermarking for AI-generated audio detection
Summary
Google has released Gemini 3.1 Flash TTS, an advanced text-to-speech model delivering improved controllability, expressivity, and natural speech quality. The model is now available in preview for developers via Gemini API and Google AI Studio, for enterprises on Vertex AI, and for Workspace users through Google Vids.
Key Points
- Enhanced Speech Quality: Achieved an Elo score of 1,211 on the Artificial Analysis TTS leaderboard, positioning it in the "most attractive quadrant" for high-quality generation at low cost
- Audio Tags for Precise Control: New granular audio tags enable natural language commands to adjust vocal style, pace, and delivery mid-sentence using inline tags
- Global Language Support: Supports 70+ languages with native multi-speaker dialogue capabilities for localized, expressive speech experiences
- Developer-Friendly Tools: Google AI Studio provides configurable controls including scene direction, speaker-level specificity, and seamless API code export for consistent voice implementation
- SynthID Watermarking: All generated audio includes imperceptible watermarks to reliably detect AI-generated content and prevent misinformation