Gemini 3.1 Flash TTS - Google's Text-to-Speech Model

What is Gemini 3.1 Flash TTS?

Gemini 3.1 Flash TTS is Google's next-generation text-to-speech model, offering enhanced controllability, expressiveness, and sound quality. The model supports over 70 languages and incorporates audio tagging technology, allowing for precise control over voice style, speech rate, and expression through natural language commands. Gemini 3.1 Flash TTS achieved an Elo score of 1211 on the Artificial Analysis TTS leaderboard, placing it in the optimal quadrant for high-quality, low-cost audio. All audio files are embedded with a SynthID invisible watermark to prevent the spread of misinformation.

Main functions of Gemini 3.1 Flash TTS

• Natural Speech SynthesisIt supports generating more natural and expressive AI voices than its predecessors, achieving the most natural synthesis effect currently available.
• Audio tag control: By embedding natural language commands into text input, it allows for precise control over voice style, speech rate, and expression.
• Multi-speaker dialogueIt natively supports multi-character dialogue scenarios, and characters can maintain consistent voices in multiple rounds of interaction.
• Multilingual supportHigh-fidelity speech generation covering more than 70 languages to meet the needs of global applications.
• Scene DirectorDefine the environment and dialogue instructions to help the character stay "in character" and interact naturally.
• Speaker-level customizationCreate a unique audio fingerprint for your character, and support director notes to switch intonation and accent.
• Seamless exportExport precise parameter tuning as Gemini API code to ensure consistent sound across projects and platforms.
• AI watermark protectionAll audio is automatically embedded with a SynthID invisible watermark, supporting reliable detection of AI-generated content.

How to use Gemini 3.1 Flash TTS

• DevelopersPreview and test using Google AI Studio, adjust scene settings, speaker attributes, and audio tags using configurable controls, and then export as Gemini API code to integrate into the application.
• Enterprise usersAccessed via Vertex AI.
• Workspace usersUse it directly in Google Vids.

Key information and usage requirements for Gemini 3.1 Flash TTS

• Current statusDeveloper Preview (via Gemini API and Google AI Studio), Enterprise Preview (Vertex AI), Workspace Integration (Google Vids)
• Language support70+ languages
• Pricing strategyIt falls within the high cost-performance range (Artificial Analysis assesses it as a high-quality, low-cost quadrant).
• Security MechanismForced SynthID watermark embedding, supports AI-generated content detection.
• Hardware RequirementsCloud-based API calls, no local computing resources required.
• Usage restrictionsRequires a Google account and API permissions; there may be rate limitations during the preview period.

The core advantages of Gemini 3.1 Flash TTS

• Leading in sound qualityIt achieved a high score of 1211 Elo in the Artificial Analysis TTS leaderboard, ranking in the best quadrant for high quality and low cost.
• Fine controlIt pioneered an audio tagging system, enabling director-level control over voice expression.
• Role ConsistencyAudio Profiles ensures consistent character tone and style across multiple dialogue rounds.
• Global coverageHigh-quality localized voice output in more than 70 languages.
• Safety and complianceBuilt-in SynthID watermark to meet the needs of AI content tracing and anti-deepfake features.

Project address for Gemini 3.1 Flash TTS

• Project official website: https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-flash-tts/

Comparison of Gemini 3.1 Flash TTS with similar competing products

Application scenarios of Gemini 3.1 Flash TTS

• Audio content productionDevelopers can use audio tags to precisely control narration style, character dialogue, and emotional expression, creating multi-character immersive narrative experiences for audiobooks, podcasts, and radio dramas.
• Virtual assistants and customer serviceEnterprises can build AI customer service systems with unique voice fingerprints and emotional expression capabilities, and adjust their tone in real time to adapt to different service scenarios through natural language commands.
• Game and film productionGame developers can assign unique Audio Profiles to NPC characters and define scene backgrounds to ensure that the characters maintain consistent voices and contextualized performances across multiple interactions.
• Education and training contentEducational institutions can use more than 70 languages to create localized audio teaching materials, and adjust the speaking speed and pronunciation style through director's notes to suit learners of different ages.
• Accessibility servicesDevelopers can integrate highly natural-sounding voice to provide screen reading and assisted reading functions for visually impaired users, while relying on SynthID watermarking to ensure the transparency and credibility of the content source.