Project AURIONAI Use-Cases Research & Innovation
video generation

Gemini Omni Flash

Google media model, noted in passing in the research notes.

Google DeepMindGoogle DeepMindUK / USAGoogleGoogleUSAGemini OmniFamily
Google DeepMind
Levelmodel
Classvideo generation
Parametersnot in the notes
Contextnot in the notes
Released19 May 2026
Opennessproprietary
Runs onnot in the notes
Statusactive

Benchmark Results

independent
LMArena Text-to-Video Arenagenerative media
independent
1,513 ±9
1,2001,4001,600

Score in Elo; the axis starts at 1,200, as Elo has no zero. Higher is better.

rank 2, LMArena Text-to-Video, updated 21 Sep 202621 Sep 2026 arena.ai
Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).

Lineage

successor
Gemini Omni Flash to Gemini Omni Flash 1.1: successor, medium confidenceGemini Omni FlashGemini Omni FlashGoogle DeepMind, May 2026Gemini Omni Flash 1.1Gemini Omni Flash 1.1Google, Aug 2026
GoogleGemini Omni Flash 1.1 is a child (successor)medium confidencenotes
Where this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. The tree shows two generations each way, 2 models. Confidence and evidence are the notes' own.

R&D Topics

Text-to-video foundation modelsproduced by

Identity

Developer
Google DeepMind, Google
Family
Gemini Omni
Released
19 May 2026 sourcessecondary report
Weights published
–
Record checked
10 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
not in the notes Unified pipeline combining Gemini, Nano Banana, Veo
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Context length
not in the notes
Input
text, image, video
Output
video, audio
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
proprietary
Licence
Proprietary sources
Access routes
consumer app
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
not in the notes
Footprint
not in the notes
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Industry Use Cases

No industry use case links this model.

Sources

  1. Models  |  Gemini API  |  Google AI for Developers ai.google.dev https://ai.google.dev/gemini-api/docs/models
  2. framia.converge.ai/page/en-US/news/gemini-omni-ai-video-generati... https://framia.converge.ai/page/en-US/news/gemini-omni-ai-video-generation-model
  3. Text-to-Video Arena: Best AI Video Generators arena.ai https://arena.ai/leaderboard/text-to-video

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Gemini Omni Flash", https://aurion.semai.id/models/google-deepmind-gemini-omni-flash/, records of October 2026.