Google has introduced Gemini Omni, a new family of multimodal AI models designed to generate and edit content using combinations of text, images, audio, and video inputs. The announcement was made during Google I/O 2026 as part of the company’s broader push toward what it calls an “agentic Gemini era.”  

The first model in the lineup, Gemini Omni Flash, focuses on AI-powered video generation and editing. Unlike traditional text-to-video systems, Omni Flash can work with multiple types of inputs simultaneously, including existing videos, photos, sound clips, and natural language instructions.  

According to Google DeepMind executives, the long-term goal behind Gemini Omni is to build systems that can “create anything from any input.” Google says the new model family combines Gemini’s reasoning and world knowledge with multimodal generation capabilities previously spread across separate products like Veo and Nano Banana.  

Google demonstrated several use cases during I/O 2026, including:

• Conversational video editing using natural language

• Remixing existing videos into new scenes

• AI-generated clips with synchronized audio

• Video creation from mixed media prompts

• Personalized media generation using uploaded images and footage

One of the most notable aspects of Gemini Omni is its multimodal architecture. Existing video models typically rely primarily on text prompts, but Omni Flash can process and reason across multiple media types together. Google says this allows the model to better understand context, physical environments, motion, and real-world relationships.  

Google DeepMind CTO Koray Kavukcuoglu stated that Omni Flash has significantly more “world knowledge” than earlier video generation systems because it leverages the broader Gemini training ecosystem.  

The launch also signals Google’s attempt to unify its growing AI ecosystem under Gemini. Over the past year, Google has introduced separate AI systems for text reasoning, coding, image generation, video generation, and AI agents. Gemini Omni appears to combine many of these capabilities into a single multimodal framework.  

Industry analysts view Gemini Omni as Google’s response to the rapidly growing competition in generative media and AI agent platforms. Companies including OpenAI, Anthropic, Runway, Pika, and ByteDance are all aggressively expanding into multimodal AI generation and autonomous creative workflows.  

Google says Omni Flash can currently generate video clips up to 10 seconds long with synchronized audio, although the company plans to increase generation length in future updates.  

The rollout is already beginning across several Google products, including:

• Gemini app

• Google Flow

• YouTube Shorts

For developers and creators, Gemini Omni represents a major shift in how AI media generation tools are evolving. Instead of isolated text-to-image or text-to-video systems, the next generation of AI models is increasingly being designed as unified multimodal engines capable of understanding and generating across every major media format simultaneously.

Developers can learn more through Google’s official announcement and I/O coverage.

• Google Official Blog