The fastest path from prompt to prototype to production with Gemini

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introducing Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS, our most expressive audio generation models yet these models enable creators, developers, and enterprises to create richer, more expressive audio experiences try them via the Gemini API and in AI Studio: aistudio.google.com/generate…
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Introducing Gemini 4 Argon – our new frontier model. It’s built for complex workflows across coding, enterprise knowledge work, and cybersecurity defense – rolling out today to a set of trusted testers through our Fairwind Program.
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if you're in SF, join us next week (september 24th) for a first-of-its-kind Gemini Audio event chat with members of the team, enjoy refreshments, and experience demos RSVP here: rsvp.withgoogle.com/events/g…
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🔈 today we're introducing two new live dialogue models Gemini 3.8 Live: built for scale and cost efficiency, combining conversational intelligence with fluid dialogue and visual grounding. Gemini 3.8 Live Extended Thinking: built for high-complexity tasks, with increased intelligence and multi-step reasoning. these audio models are available to build with in AI Studio and via the Gemini API ai.studio
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today we’re sharing the first preview of the Gemini API docs right in AI Studio we built the experience from the ground up to give you better consolidation and convenience: docs right where you’re building get started today: ai.studio/docs
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Lyria 3.5, our best-sounding music generation model, is now available in AI Studio, via the Gemini API, and in the Gemini app this model brings more expressive vocals and richer musical arrangements, allowing you to craft tracks with higher fidelity try it today: ai.studio
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Gemini 3.8 Flash is here⚡️ it's our most intelligent workhorse model, delivering significant improvements from 3.7 Flash across software engineering, agentic tasks, and critical, multi-step reasoning in specialized domains available at the same introductory price as 3.7 Flash at $0.75 per million input tokens and $3.75 per million output tokens try it today via the Gemini API and in AI Studio: ai.studio
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introducing agentic video understanding with Gemini instead of using static processing (ingesting media at a fixed frame rate), the model can now take an active, goal-directed role in determining what to watch, at what speed, and through which modality (frames, audio, or transcript), fetching only the moments and signals needed this new approach cuts costs by up to 66% and reduces token consumption by up to 88% while boosting accuracy available now via the Gemini API and in AI Studio: ai.studio
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