Google introduces Gemini 3.1 Flash TTS, its latest text-to-speech model, which aims for highly natural and expressive audio output. The launch brings a major upgrade in voice AI, with a focus on realism and developer control. The new model is expected to boost AI-powered content, customer interaction, and enterprise automation.
The Gemini model secured an Elo score of 1,211 on the Artificial Analysis TTS leaderboard, a benchmark that captures thousands of blind human preferences. Google says, “Artificial Analysis has also positioned Gemini 3.1 Flash TTS within its most attractive quadrant as the model balances performance with low cost.”
Flash TTS can also create conversations among multiple speakers in a single output file. This eliminates the need to merge audio files manually. Podcasts, audiobooks, and conversational AI software can be developed with this technology.
It also features audio tags, allowing the user to adjust vocal delivery more precisely. Users can also control the speaking pace, speed, and delivery. The tech giant also explained that, “By embedding natural language commands directly into the text input, you can steer AI-speech output with improved levels of granularity.”
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Flash TTS supports over 70 languages, allowing a worldwide deployment. It can be accessed via AI Studio, APIs, and Vertex AI. The model comes with a free plan for testing and an enterprise plan for companies. This makes it easy for both small start-ups and big companies to adopt voice AI technology.
Google has incorporated SynthID watermarking technology into the audio clips produced by Gemini 3.1 Flash TTS. The model performs strongly across all benchmarks. Its price is also relatively affordable. With its features, it aims to compete with other models like Grok and Claude AI.
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