What Makes Gemini Omni Flash Different: Any-to-Any Multimodal Input

Unlike pipeline models that convert inputs sequentially, Gemini Omni Flash processes text, images, audio, and video as a single unified input and produces video output — a capability called "any-to-any" . The model generates 3–10 second 720p clips at 24 fps in 16:9, 9:16, or 1:1 aspect ratios, with synchronized native audio created in the same pass .

You can feed the model up to seven reference images, one video clip, and a text brief in a single prompt, and it merges them into a coherent output . For example, a user could provide product photos, a background video, and a description, and Omni Flash would generate a short promotional clip.

Conversational Video Editing: The Interactions API

The headline capability is conversational video editing, enabled by the Interactions API . Instead of exporting clips to a separate editing tool, users can iteratively refine outputs through natural language — character swaps, product swaps, style transfers, object additions, and relighting — while the model preserves the parts of the video the user wants to keep . Each turn in the conversation produces a new video, and the model understands context from prior turns .

Pricing: $0.10 Per Second

API pricing is set at $0.10 per second of generated video, equivalent to $1 per 10-second clip . This matches Veo 3.1 Fast, positioning Omni Flash as a lower-cost, faster-iteration alternative for video workflows . Pricing is also $1.50 per million input tokens and $17.50 per million video output tokens .

For consumers, Gemini Omni Flash is free on YouTube Shorts for users aged 18 and older . It is also included in Google AI Plus, Pro, and Ultra subscription tiers .

The 10-Second Clip Limit: A Deliberate Choice

The 10-second cap is an intentional product decision at launch, with longer durations planned for future releases . Google has characterized this as a responsible rollout strategy, balancing capability with safety . Some commentators note the limit may be a deployment-side limitation rather than a model architecture limit .

SynthID Watermarking and Content Provenance

Every clip generated or edited with Omni Flash includes an invisible SynthID digital watermark . Users can verify AI-generated content through the Gemini app, Gemini in Chrome, and Google Search by asking, "Was this video created using Google AI?" . On supported Google surfaces, content also carries C2PA Content Credentials . There is no API knob to disable it .

Adobe Firefly Integration

On July 1, 2026, Adobe added Gemini Omni Flash as a partner model within Adobe Firefly, enabling plain-English video editing using Firefly's interface and credit system . It costs 30 credits per second of video . This follows a broader partnership announced at Google I/O to bring the Adobe connector to Gemini . Users can access it from the Model dropdown in the Text to Video module .

Companion Model: Nano Banana 2 Lite

Released alongside Omni Flash, Nano Banana 2 Lite (model ID: gemini-3.1-flash-lite-image) is the fastest and cheapest image model in Google's Nano Banana family . It generates images in under 4 seconds at under $0.04 per 1,000 images . General availability was announced June 30, 2026 on Google Cloud, and it is available in Google AI Studio, the Gemini API, and the Gemini Enterprise Agent Platform .

Omni Product Studio

Google showcased Omni Product Studio at Google I/O 2026, a demo app that turns static product images into cinematic e-commerce videos using Gemini Omni Flash .

Regional Restrictions and Limitations

Editing uploaded videos is blocked for users in the European Economic Area (EEA), Switzerland, and the United Kingdom . Community reports also note blocks in India and some US states . The model also reliably edits only its own generated clips — not arbitrary third-party uploads — as a safety measure against deepfake misuse . Speech and audio editing capabilities are deliberately withheld at launch over deepfake concerns .

What Makes Gemini Omni Flash Different: Any-to-Any Multimodal Input

Unlike pipeline models that convert inputs sequentially, Gemini Omni Flash processes text, images, audio, and video as a single unified input and produces video output — a capability called "any-to-any" . The model generates 3–10 second 720p clips at 24 fps in 16:9, 9:16, or 1:1 aspect ratios, with synchronized native audio created in the same pass .

You can feed the model up to seven reference images, one video clip, and a text brief in a single prompt, and it merges them into a coherent output . For example, a user could provide product photos, a background video, and a description, and Omni Flash would generate a short promotional clip.

Conversational Video Editing: The Interactions API

The headline capability is conversational video editing, enabled by the Interactions API . Instead of exporting clips to a separate editing tool, users can iteratively refine outputs through natural language — character swaps, product swaps, style transfers, object additions, and relighting — while the model preserves the parts of the video the user wants to keep . Each turn in the conversation produces a new video, and the model understands context from prior turns .

Pricing: $0.10 Per Second

API pricing is set at $0.10 per second of generated video, equivalent to $1 per 10-second clip . This matches Veo 3.1 Fast, positioning Omni Flash as a lower-cost, faster-iteration alternative for video workflows . Pricing is also $1.50 per million input tokens and $17.50 per million video output tokens .

For consumers, Gemini Omni Flash is free on YouTube Shorts for users aged 18 and older . It is also included in Google AI Plus, Pro, and Ultra subscription tiers .

The 10-Second Clip Limit: A Deliberate Choice

The 10-second cap is an intentional product decision at launch, with longer durations planned for future releases . Google has characterized this as a responsible rollout strategy, balancing capability with safety . Some commentators note the limit may be a deployment-side limitation rather than a model architecture limit .

SynthID Watermarking and Content Provenance

Every clip generated or edited with Omni Flash includes an invisible SynthID digital watermark . Users can verify AI-generated content through the Gemini app, Gemini in Chrome, and Google Search by asking, "Was this video created using Google AI?" . On supported Google surfaces, content also carries C2PA Content Credentials . There is no API knob to disable it .

Adobe Firefly Integration

On July 1, 2026, Adobe added Gemini Omni Flash as a partner model within Adobe Firefly, enabling plain-English video editing using Firefly's interface and credit system . It costs 30 credits per second of video . This follows a broader partnership announced at Google I/O to bring the Adobe connector to Gemini . Users can access it from the Model dropdown in the Text to Video module .

Companion Model: Nano Banana 2 Lite

Released alongside Omni Flash, Nano Banana 2 Lite (model ID: gemini-3.1-flash-lite-image) is the fastest and cheapest image model in Google's Nano Banana family . It generates images in under 4 seconds at under $0.04 per 1,000 images . General availability was announced June 30, 2026 on Google Cloud, and it is available in Google AI Studio, the Gemini API, and the Gemini Enterprise Agent Platform .

Omni Product Studio

Google showcased Omni Product Studio at Google I/O 2026, a demo app that turns static product images into cinematic e-commerce videos using Gemini Omni Flash .

Regional Restrictions and Limitations

Editing uploaded videos is blocked for users in the European Economic Area (EEA), Switzerland, and the United Kingdom . Community reports also note blocks in India and some US states . The model also reliably edits only its own generated clips — not arbitrary third-party uploads — as a safety measure against deepfake misuse . Speech and audio editing capabilities are deliberately withheld at launch over deepfake concerns .