Google

Google Omni

Google Omni (officially Gemini Omni Flash) is Google's recommended default model for video generation. It handles text, image, and video inputs simultaneously and lets you refine results through multi-turn conversational editing—swap elements, change perspectives, and iterate on your video using natural language.

Use Omni when you need iterative video creation and editing. It generates 720p video at 24 FPS in 3-10 second clips, making it ideal for vertical social content, product teasers, and quick concept exploration. For native audio and scene extension, pair it with Veo 3.1.

Google Omni (Gemini Omni Flash) video generation on Mivo

Overview

Google Omni (Gemini Omni Flash) is Google's recommended default model for video generation. Unlike dedicated video models, Omni is a unified multimodal architecture that processes text, image, and video inputs together, enabling multi-turn conversational editing—refine elements, change perspectives, and iterate on your video using natural language.

On Mivo, Google Omni is available through the Generate Studio. Write a prompt describing the scene, select an aspect ratio, and generate. Use multi-turn conversations to refine the result—swap elements, adjust camera angles, or change the mood without starting from scratch.

For creators, this means fewer re-generations and faster iteration. Instead of re-rolling a prompt hoping for a better result, you can tell Omni what to change and it builds on the previous output. This is especially powerful for product demos, social content, and any workflow where you need to iterate toward a specific vision.

Key features

Conversational editing

Multi-turn refinement via Interactions API—swap elements, change perspectives, and iterate through natural language without starting over.

Multi-input reasoning

Accepts text, image, and video inputs simultaneously for richer context and better prompt adherence.

Text-to-video & image-to-video

Start from a text prompt for ideation, or from a reference image to preserve brand identity and composition.

Video editing input

Input existing video (up to 10 seconds) for editing and refinement—unique among AI video models.

720p at 24 FPS

High-quality 720p output suitable for social media, ads, and product showcases.

3-10 second clips

Generate short clips optimized for social media—TikTok, Instagram Reels, and YouTube Shorts.

Who benefits?

Content creators and social media managers use Omni to produce vertical videos with voiceover and ambient audio in one step—perfect for TikTok, Instagram Reels, and YouTube Shorts where audio is critical for engagement.

Marketing teams generate product demos and ad creatives with synchronized narration, eliminating the need for separate voiceover recording and video editing tools.

Developers and app builders integrate Omni via Mivo's API for interactive applications—live previews, avatar animations, and real-time content generation where latency matters.

Google Omni vs Sora 2: detailed comparison

Both Google Omni and Sora 2 generate video with audio from text or images. Omni emphasizes real-time generation and unified audio synthesis in a single architecture. Sora 2 focuses on physics-aware world simulation and multi-shot narrative continuity.

Positioning
Google Omni
Unified multimodal model (text, image, audio, video in one)
Sora 2 (OpenAI)
Flagship OpenAI model; robust world/physics simulation
Generation speed
Google Omni
Fast preview generation
Sora 2 (OpenAI)
Standard generation (seconds to minutes)
Audio
Google Omni
Not native (use Veo 3.1 for audio)
Sora 2 (OpenAI)
Native dialogue/ambience/effects in supported flows
Prompt control
Google Omni
Multi-turn conversational editing via Interactions API
Sora 2 (OpenAI)
Strong multi-shot narrative control; world state continuity
Motion & physics
Google Omni
Superior video coherence and temporal consistency
Sora 2 (OpenAI)
Physics-aware simulation to avoid artifacts
Resolution
Google Omni
720p
Sora 2 (OpenAI)
Reports of 1080p+ in some modes
Max duration
Google Omni
3-10 seconds
Sora 2 (OpenAI)
Short social clips (8-15s typical)
Input modalities
Google Omni
Text, image, video (up to 10s for editing)
Sora 2 (OpenAI)
Text prompts, cameo/style conditioning
Ecosystem
Google Omni
Google (Gemini, Vertex AI)
Sora 2 (OpenAI)
OpenAI (ChatGPT, Sora App, API)
Best for
Google Omni
Conversational editing, iterative video creation
Sora 2 (OpenAI)
Complex narratives, physics-heavy scenes, multi-shot continuity

Notes: Based on public information; specifics may evolve as models update.

Google Omni vs Veo 3.1: detailed comparison

Both are Google models but serve different purposes. Omni is a unified multimodal model with real-time generation and audio synthesis. Veo 3.1 is a dedicated video model focused on cinematic fidelity and production-quality output.

Architecture
Google Omni
Unified multimodal (all modalities in one model)
Veo 3.1
Dedicated video generation model
Generation speed
Google Omni
Fast preview generation
Veo 3.1
Standard generation with longer render times for quality
Audio
Google Omni
Not native (use Veo 3.1 for audio)
Veo 3.1
Yes, native audio (dialogue, ambience, effects)
Visual fidelity
Google Omni
High quality, optimized for iterative editing
Veo 3.1
Film-grade polish and cinematic realism
Resolution
Google Omni
720p
Veo 3.1
720p, 1080p, 4K (varies by tier)
Editing
Google Omni
Multi-turn conversational editing (Interactions API)
Veo 3.1
Scene extension, last-frame control
Best for
Google Omni
Iterative video creation, conversational editing
Veo 3.1
Ads, promos, narrative beats needing audio + polish
Ecosystem
Google Omni
Google Gemini / Vertex AI
Veo 3.1
Google Vertex AI / Gemini

Workflow on Mivo

Open Generate Studio and select Google Omni. Write a prompt that describes the visual scene and the audio you want—be specific about dialogue, ambient sound, or music. Select aspect ratio (9:16 for vertical, 1:1 for feed, 16:9 for widescreen) and duration.

Preview the result. Omni generates video and audio together, so you can evaluate the full output immediately. Adjust your prompt—change the scene, camera movement, or audio direction—and regenerate until the result matches your vision.

When satisfied, publish to your Mivo profile to collect donations, or download for external editing and distribution to TikTok, Instagram, YouTube, or other platforms.

Prompt guidance

Omni responds well to prompts that specify both visual and audio elements. Describe the scene (subject, action, setting, camera) and then add audio direction (dialogue, ambient sound, music style). Keep one subject and one action per clip for maximum coherence.

For image-to-video, state what must remain consistent (subject identity, color palette, composition) and what you want animated. Use concrete nouns for subjects and reserve adjectives for style and mood.

Prompt blueprints

Product demo with voiceover (vertical)

Close-up of [product] on a clean table, soft studio lighting, slow pan left to right, voiceover: "[Your product tagline here]", ambient: soft electronic music, 9:16.

Narrative scene with dialogue

[Character] walks into a coffee shop, rain on windows, warm interior lighting, medium shot, dialogue: "[Line of dialogue]", ambient: coffee shop murmur, rain, 9:16.

Image-to-video with audio

Animate the provided image, keep subject identity and color palette, add subtle camera parallax and gentle zoom, ambient: soft wind and birdsong, 9:16.

Best practices

Lead with the visual subject and action, then add audio direction. This helps the model prioritize visual coherence while generating matching audio. Avoid overly complex prompts with multiple scene changes—keep one scene per clip.

For the best audio quality, specify the type of audio you want: dialogue (with the actual words), ambient (environmental sounds), or music (genre and mood). Vague audio instructions like "add sound" produce less predictable results.

Iterate with intent: change one variable at a time (visual, camera, or audio) so you can see the effect. For series work, keep a prompt skeleton and swap nouns to maintain tone across multiple clips.

FAQs

What is Google Omni?
Google Omni (officially Gemini Omni Flash) is Google's next-generation video generation and editing model. It excels at turning text and images into video and lets you refine results through natural language conversations using the Interactions API.
What can I create with Google Omni on Mivo?
Short social videos, product teasers, narrative shots, and edited clips. Use multi-turn conversations to refine elements, change perspectives, and iterate on your video without starting from scratch each time.
How is Google Omni different from Veo 3.1?
Google Omni is Google's recommended default for video generation with conversational editing and multi-input reasoning. Veo 3.1 is specialized for scene extension, last-frame control, and native audio generation.
Does Google Omni support native audio?
Native audio generation is currently available in Veo 3.1. Gemini Omni Flash focuses on video coherence, multi-input reasoning, and conversational editing through the Interactions API.
What resolutions does Google Omni support?
Gemini Omni Flash generates 720p video at 24 FPS, with clips ranging from 3 to 10 seconds. It supports 9:16 vertical, 1:1 square, and 16:9 landscape aspect ratios.
How does conversational video editing work?
Using Google's Interactions API, you can refine videos across multiple turns. Each turn builds on the previous result, allowing element replacement, perspective changes, and style adjustments through natural language.
What inputs does Google Omni accept?
Text prompts, images, and video (up to 10 seconds for editing). The model supports multi-input reasoning, meaning you can provide multiple input types simultaneously for richer context.
How much does Google Omni cost compared to the official Gemini API?
On the official Gemini API, Omni Flash is priced at $1.50 per 1M input tokens and $17.50 per 1M video output tokens (~$0.10 per second of 720p video). On Mivo, you save up to 60% vs official pricing with our credit-based system.