Gemini Omni Flash Preview
Gemini Omni Flash Preview is the first model in Google's Omni family, generating short video with synchronized audio from text, images, or video references, then refining it through stateful conversational edits that preserve the parts of a clip you did not mention. Your use is subject to Google's Terms & Privacy Policies.
import { streamText } from 'ai'
const result = streamText({ model: 'google/gemini-omni-flash-preview', prompt: 'Why is the sky blue?'})Playground
Try out Gemini Omni Flash Preview by Google. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days.
Gemini Omni Flash Preview
Providers
Route requests across multiple providers. Copy a provider slug to set your preference. Visit the docs for more info. Using a provider means you agree to their terms, listed under Legal.
| Provider |
|---|
P50 throughput on live AI Gateway traffic, in tokens per second (TPS). Visit the docs for more info.
P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds. View the docs for more info.
Direct request success rate on AI Gateway and per-provider. Visit the docs for more info.
More models by Google
| Model |
|---|
About Gemini Omni Flash Preview
Gemini Omni Flash Preview is the first model in Google's Omni family and reached public preview on June 30, 2026. It processes text, images, and video together and returns video with synchronized audio. Clips run 3 to 10 seconds at 720p, in landscape (16:9) or portrait (9:16), with landscape as the default. Google grounds Gemini Omni Flash Preview in Gemini's world knowledge, pairing an understanding of physics with knowledge of history, science, and cultural context.
Stateful editing is what separates Gemini Omni Flash Preview from a plain text-to-video model. Each turn carries the previous clip and its references forward, so you can generate a scene, restyle it, swap a subject, insert an object, or relight it across several turns without describing the whole shot again. You can also branch from any earlier version. Keep edit prompts short: Make the phone invisible. Keep everything else the same produces a cleaner result than a paragraph of instructions, because long prompts invite changes you did not ask for.
Reference images bind to roles. Mark an image as the starting frame or as a style or subject reference, and Gemini Omni Flash Preview either animates it directly or borrows its look. A task field accepts text_to_video, image_to_video, reference_to_video, and edit when you want to state intent rather than let the model infer it. Audio generates alongside the video, and you can describe the track you want, including background music, sound effects, and events timed to specific seconds.
Every clip Gemini Omni Flash Preview produces carries SynthID watermarking, invisible to viewers but detectable for provenance checks, and C2PA content credentials. Rates for Gemini Omni Flash Preview are listed on this page as N/A, and N/A breaks out the resolution and duration tiers. Clip length is the main cost lever, since billing scales with the video you generate. Calling Gemini Omni Flash Preview through AI Gateway adds usage and cost tracking, automatic retries, and provider failover on one API surface.
What To Consider When Choosing a Provider
- Configuration: Gemini Omni Flash Preview is a preview model, so behavior and supported parameters can change. Several controls that text models expose are unavailable: system instructions,
temperature,top_p, stop sequences, and negative prompts. Put exclusions in the prompt text instead, for exampleno dialogue. Audio references are not accepted as input, video extension and frame interpolation are unsupported, voice editing is unsupported, and prompting across multiple videos degrades output. Editing video you uploaded is unavailable in the European Economic Area, Switzerland, and the United Kingdom, though editing video the model generated is supported. Validate the behavior your product depends on before it carries production traffic. - Zero Data Retention: AI Gateway supports Zero Data Retention for this model via direct gateway requests (BYOK is not included). To configure this, check the documentation.
- Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.
When to Use Gemini Omni Flash Preview
Best for
- Conversational Video Editing: Iterative refinement across turns preserves the parts of a clip you did not mention
- Short Social Video: Clip lengths of 3 to 10 seconds in portrait or landscape suit social and ad placements
- Product Asset Animation: Reference images act as starting frames or style guides for generated motion
- Style and Subject Swaps: Restyling a scene or replacing a subject runs as a follow-up turn, not a regeneration
- Agentic Media Workflows: Generation and editing sit inside your application rather than a separate creative tool
Consider alternatives when
- Higher Resolution Deliverables:
google/veo-3.1-generate-001renders at up to 1080p for finished output - High-Volume Generation:
google/veo-3.1-lite-generate-001targets cost-sensitive pipelines running at scale - Still Image Output:
google/gemini-3-pro-imageandgoogle/imagen-4.0-generate-001return images rather than video - Stable Production Surface: Preview status means parameters and behavior can change during a rollout
- Regional Editing Limits: Uploaded-video editing is unavailable in the European Economic Area, Switzerland, and the United Kingdom
Conclusion
Gemini Omni Flash Preview treats video as something you revise rather than regenerate. For teams putting short-form video inside a product, the value sits in the stateful edit loop: a marketing or training team can reach a usable cut by talking to the model instead of rewriting a prompt from scratch. Preview status means you should validate the parameters and regional paths your product depends on first.