Google's Gemini Omni unifies video, image, and audio generation in one sparse MoE Transformer with a 2M token context window. GccAi will provide unified Gemini Omni API access — explore the full Gemini Omni picture below before launch.
This Gemini Omni clip going viral across the internet says it all: a professor stands at the blackboard, lecturing while casually deriving formulas by hand — the texture, the fluidity, and the sheer realism Gemini Omni achieves are stunning.
Every Gemini Omni detail is rendered natively, frame by frame — the friction of chalk on slate, the subtle weight shift of the wrist, the logical jumps between equations, even the breath the professor takes before underlining the result. Gemini Omni is no longer ordinary text-to-video: Gemini Omni fuses vision, language, motion, and sound inside a single sparse Mixture-of-Experts Transformer, where the Gemini Omni picture thinks, the Gemini Omni voice explains, and time stays coherent. When Gemini Omni can finally express itself like a real teacher, the entire content production pipeline is being rewritten. Gemini Omni will be available through GccAi's unified Gemini Omni API — stay tuned.
A first look at the capabilities coming soon to GccAi

We are putting the finishing touches on this model. Once it goes live, you will be able to call it through a unified API with pay-as-you-go pricing and no monthly commitment.
Gemini Omni is Google's first unified video, image, and audio model in a single Transformer
Gemini Omni combines video, image, and audio generation in one sparse Mixture-of-Experts architecture, removing the need to chain Veo, Imagen, and audio models in production pipelines.
Gemini Omni inherits Gemini's 2M token context, enabling long-form scripts, multi-shot storyboards, and reference-rich prompts to be processed in a single request.
Gemini Omni is expected to generate dialogue, ambience, and effects together with the video, eliminating separate TTS and post-production audio steps.
Gemini Omni targets video generation up to two hours long with consistent characters and scenes, far beyond the typical 8-second clips of current text-to-video models.
Gemini Omni delivers up to 1080p video resolution, suitable for short-form social, marketing, and education content without external upscaling.
Gemini Omni uses sparse Mixture-of-Experts Transformer routing, activating only relevant experts per token and improving inference efficiency for multimodal workloads.
Gemini Omni leverages Gemini's reasoning, world knowledge, and multilingual capabilities, giving it stronger semantic grounding than dedicated video-only models.
Gemini Omni aims to replace multi-tool workflows (video → audio → lip-sync → captions) with a single multimodal API call, lowering integration complexity.
Production scenarios where Gemini Omni's unified video, image, and audio generation delivers the most value
Generate multilingual ad creatives with synchronized voice-overs, ambience, and visuals in a single Gemini Omni request — ideal for global campaigns and rapid Gemini Omni A/B variants.
Use Gemini Omni to produce localized lecture videos with matching narration and visuals, cutting the cost of human voice talent and re-shoots for multilingual Gemini Omni courses.
Turn product specs and reference images into long-form Gemini Omni product stories, unboxing-style demos, and shopping-channel videos with Gemini Omni synchronized voice-over.
Pre-visualize multi-shot scenes with Gemini Omni temp dialogue, music, and ambient sound baked in — useful for Gemini Omni film, animation, and game cinematics.
Generate vertical short videos through Gemini Omni with native voice-over and music for TikTok, Reels, Shorts, and Douyin, without juggling separate TTS and editing tools around Gemini Omni.
Render Gemini Omni spokesperson videos, product explainers, and training content where speech, mouth movement, and gestures stay perfectly aligned across languages with Gemini Omni.
Everything we know about Gemini Omni ahead of its GccAi launch
Gemini Omni is Google's unified multimodal model hinted by a leaked Gemini UI string. It is designed to generate video, image, and audio together in a single sparse Mixture-of-Experts Transformer, replacing today's split-model approach (Veo for video, Nano Banana for image).
Gemini Omni is coming soon. Google is widely expected to debut Omni around Google I/O 2026. GccAi is preparing the Gemini Omni integration and will update this page with API endpoints, pricing, and a live playground as soon as the model is publicly available.