According to Demis Hassabis, Google introduced Gemini 3.1 Flash and Gemini 3.1 Flash TTS, expanding the Gemini model family with faster multimodal inference and native text to speech for real-time experiences (as reported on Google Blog). According to Google Blog, Gemini 3.1 Flash targets low-latency, cost-efficient multimodal tasks like rapid vision grounding, on-device agents, and streaming assistants, while Flash TTS generates natural speech with controllable style and latency for voice bots, media dubbing, and accessibility. As reported by Google Blog, enterprise customers can access the models via Google AI Studio and Vertex AI with features like safety filters, data governance, and usage-based pricing, positioning the releases to compete on speed and total cost of ownership in contact centers, ecommerce search, and creative automation. According to Google Blog, developers gain server-side streaming, tool use, and improved long-context handling, enabling retrieval-augmented generation and rapid function calling for production-grade agents.

According to Google DeepMind on X, Gemini 3.1 Flash TTS introduces new Audio Tags that let developers control vocal style, delivery, and pace directly via text prompts, enabling fine-grained prosody and timing without manual audio editing. As reported by Google DeepMind’s official post, this controllability targets production workflows like dynamic voiceover generation, localized narration, and programmatic A/B testing of read styles. According to the Google DeepMind announcement, the feature reduces iteration time for product teams by allowing prompt-level adjustments to speed, emphasis, and tone, creating opportunities for scalable content operations, customer support avatars, and interactive learning apps that demand consistent brand voice.