Gemini Omni Flash

What is Gemini Omni Flash?

Gemini Omni Flash is Google's first model in the Gemini Omni family, released May 19, 2026. It is a native multimodal video model where text, images, video, and audio can all sit in the model context, and the output is high-resolution video with audio.

The useful shift is the edit loop. Gemini Omni Flash treats media as context, then lets the next instruction build on what came before. A product still, a phone clip, a character reference, a voice preset, and a prompt can steer the same result. Characters, scene layout, camera motion, and spoken audio are meant to stay tied together as the edit changes.

Gemini Omni Flash is built around Gemini's real-world knowledge as well as media generation. That matters for scenes with cause and effect: gravity, fluid motion, object interaction, cultural references, and short explainers where the video has to show an idea instead of only matching a style.

For API work, Gemini Omni Flash is less like a plain text-to-video generator and more like a multimodal video editor. Give it the assets that matter, name those assets in the prompt, and use follow-up edits when the first result is close.

Best for

Mixed-context video prompts

Use it when the prompt needs to combine written direction with images, source footage, characters, and voice choices.

Reference-led short clips

Use image and character references when the result needs to follow a subject, product, outfit, or setting from uploaded assets.

Existing video edits

Edit mode is built for one source video plus a prompt: restyle the clip, change the scene, or replace a subject with a character reference.

Concept explainers

Use it when a short clip needs to show a process, scientific idea, or cause-and-effect scene with grounded motion.

Character continuity

Character objects let one subject carry a name, description, image references, and voice metadata through generation or editing.

Voice-guided character clips

Use a request-level voice for generation, or per-character voice fields in edit mode when the clip needs speech direction tied to a subject.

Controlled reruns

Seed support helps rerun a prompt/reference setup when you need a close repeat for review or testing.

Use cases

Turn a rough product clip into a cleaner ad concept by giving the source video, brand stills, and a short prompt, then asking for lighting and background changes. Generate a short character scene by uploading one to three character references and calling them out with @Character1 in the prompt. Rework a creator clip for a new setting: keep the subject, change the environment, and ask for a camera move that fits the format. Build a compact explainer from a short prompt, such as a clay-style process video or a chain reaction with clear physical motion. Test a storyboard by combining sketches, a character reference, a voice preset, and written scene direction, then rerun with the same seed when the direction is close.

Limitations

Gemini Omni Flash is video-first. The current workflow is video generation and video editing with prompts, references, source video, and voice fields.

Audio input is also narrower than the broad multimodal framing can make it sound. Voice references are the first supported audio path, so plan prompts around visual references, source video, character references, and voice direction rather than arbitrary audio analysis.

Speech edits need extra review. Treat spoken lines, voice changes, people-centric edits, captions, and brand marks as review-heavy. Generated videos include SynthID watermarking, but the watermark does not replace human QA.

When to use Gemini Omni Flash

Use Gemini Omni Flash when a video job needs more than a prompt: source footage, still references, character references, voice direction, grounded scene logic, or a targeted edit of one uploaded clip. Use Veo 3.1 when the job depends on first-frame or first-and-last-frame workflows, Extend, or Upscale.

API examples

Call Gemini Omni Flash from any language by POSTing to /v1/tasks. Full parameter docs live at docs.unifically.com/models/video/google/gemini-omni-flash-video.

curl -X POST https://api.unifically.com/v1/tasks \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "google/gemini-omni-flash-video",
    "input": {
      "prompt": "Make @Character1 and @Image1 dance in a neon studio with energetic camera movement.",
      "reference_image_urls": [
        "REFERENCE_IMAGE_URL"
      ],
      "reference_characters": [
        {
          "image_urls": [
            "CHARACTER_IMAGE_URL"
          ],
          "name": "Dancer"
        }
      ],
      "duration": 10,
      "aspect_ratio": "9:16"
    }
  }'

Successful submission returns a task_id. Poll GET /v1/tasks/<task_id> or set a callback_url on the request to receive the finished result.

FAQs