Announced at Google I/O 2026, Gemini Omni is Google DeepMind’s latest native multimodal AI model. Built on a true "any-to-any" architecture, Omni departs from traditional single-modality tools by processing text, images, audio, and video simultaneously within a single pipeline.

The core capability of Gemini Omni centers on realistic, high-fidelity video generation and highly contextual editing. Unlike previous models, it doesn't just manipulate pixels; it demonstrates an intuitive grasp of real-world physics, fluid dynamics, lighting, and structural movement. Creators can feed the model a complex mix of inputs—such as a voice note for tone, a sketch for character design, and a written prompt for action—and Omni will synthesize them into a singular, cohesive cinematic video.

Key Capabilities

  • Conversational Video Editing: You can refine a video over multiple turns using natural language. For instance, you can ask to change a background, alter the camera angle, or swap lighting setups, and the model maintains perfect asset and character consistency across edits.
  • True Multimodal Synergy: By handling references natively under one context window, it ensures that your reference images, audio guidance, and textual instructions accurately inform the final motion output without losing details.
  • Built-in Provenance: To maintain transparency and combat digital misinformation, every video generated by Omni automatically embeds Google’s invisible SynthID watermark

Availability: The first model in this family, Gemini Omni Flash, is currently rolling out globally. It is accessible to Gemini Plus, Pro, and Ultra subscribers, integrated directly within Google Flow, and available to creators using YouTube Shorts. Support for developers via APIs is scheduled to follow shortly.