AI that makes and understands video: text-to-video models, editing tools and the change in film and video work.
Google Deepmind is making Gemini Omni 1.2 Flash generally available. The video-generation model now creates clips up to 15 seconds long, can be edited step by step via conversation, and costs just $0.07 per second at 720p, 30 percent less than its predecessor. Users who draft in low resolution and upscale only the final result can save even more.
Gemini Omni 1.2 Flash brings 15-second clips, stronger consistency, and faster, more cost-effective generation. Today, we’re rolling out Gemini Omni 1.2 Flash, and making it generally available across the Gemini API and Gemini for business.
Google Research published research on long-form video generation, proposing an AI video co-director multi-agent orchestration framework built on Gemini and Veo to plan visual continuity across multi-shot narratives.
Google DeepMind released Gemini 3.8 Live with Live Avatar, adding near-real-time video generation to a native live conversation model to create a dynamic visual avatar that can hear, see and speak. It is available on Gemini Enterprise from today.
Google DeepMind introduced agentic video understanding for Gemini 3.7 Flash, 3.6 Flash and 3.5 Flash-Lite, reducing video analysis token use by up to 88% and costs by up to 66%, while improving accuracy by up to 7%.
Google DeepMind released Gemini Omni 1.1 Flash, offering developers more controllable video generation through the Gemini API in Google AI Studio.
Google DeepMind released Nano Banana 2 Lite (gemini-3.1-flash-lite-image) and Gemini Omni Flash (gemini-omni-flash-preview).
Google DeepMind released Gemini Omni Flash, the first model in the Gemini Omni family, generating high-quality video from combined image, audio, video and text inputs and supporting iterative video editing through natural-language conversations.