Google Launches Gemini 3.1 Flash Live, Expands Search Live to More Than 200 Countries

Google is tightening the links between its Gemini models, Pixel hardware and productivity services as it seeks to turn advances in artificial intelligence into widely used products. Its August rollout emphasized lower-cost tools for developers, voice-driven workflows and on-device assistance, showing how the company is shifting from headline model performance toward practical applications across coding, communications, media creation and consumer devices.

In a Sept. 1, 2026 roundup, Google said Gemini 3.7 Flash arrived just three weeks after 3.6 Flash, with introductory pricing at half the earlier model’s original cost per million tokens. The company also introduced Gemini 3.5 Transcribe and the Pixel 11 lineup, powered by the Tensor G6 chip and the latest Gemini Nano. The Gemini app surpassed 1 billion monthly users, while Gemini Omni 1.1 Flash added scene extension, frame interpolation and 4K upscaling for video production.

Google is extending Gemini 3.5's generative AI capabilities to real-time interpretation through direct speech-to-speech translation that preserves a speaker's original tone, cadence and delivery. Compared with conventional systems that first convert speech into text before synthesizing audio, the new model can reduce pauses, making it significant for international meetings, travel and customer service communications.

Google has launched the Gemini 3.5 Live Translate audio model, which can translate more than 70 languages in real time. The model is being integrated into Google Translate and Google Meet and is also available in developer preview. Google has begun testing it with partners including Southeast Asian ride-hailing and delivery platform Grab to assess translation speed and naturalness in real-world service settings.

Google introduced Gemini 3.5 Flash at its 2026 Google I/O developer conference, extending its lineup of multimodal Gemini models and targeting AI applications that require frequent calls, long context windows and real-time responses. The model delivers performance exceeding that of the previous-generation Pro at Flash-tier cost while strengthening autonomous-agent and software-development capabilities.

The newly announced Gemini 3.5 Flash outperformed the previous-generation Pro in several agent benchmarks, with reasoning and processing speeds improving fourfold. Google also demonstrated that the model could build an operating system within 12 hours at a total cost of less than $1,000. The company reiterated plans to increase investment in AI infrastructure, saying it was seeing real market demand.

Google is extending Gemini’s multimodal capabilities into speech generation, enabling developers to create more natural interactions for customer service, video dubbing and accessibility services. Gemini 3.1 Flash TTS supports multiple languages and emotional control, lowering the barrier to producing voice content across markets and making it particularly important for localizing AI applications.

As of July 19, 2026, Google AI developer relations lead Logan Kilpatrick announced the launch of Gemini 3.1 Flash TTS. The model supports more than 70 languages and lets developers use audio tags to direct scenes and adjust emotion and delivery. It is now available to try in Google AI Studio and can be integrated through the Gemini API, though pricing has not yet been announced.