Gemini Omni 1.2 Flash: Fast and cost-effective with longer clips
- ID
- 43455
- Status
- summarized
- Published
- 06 Nov 2026, 1:00 AM
- Fetched
- 06 Nov 2026, 2:13 AM
- Provider
- Google AI Blog
- Category
- ai-labs
- Original URL
- https://blog.google/innovation-and-ai/technology/developers-tools/introducing-gemini-omni-1-2-flash/
- Source URL
- https://blog.google/technology/ai/rss/
Summary
- Score
- 3.5
- Created
- 06 Nov 2026, 2:14 AM
- Tags
- Audience
- developersai_ml_learnersvibe_coders
What happened
Google published a Gemini Omni 1.2 Flash announcement on its AI blog, headlined as "15-second video and lower pricing" and framed as "Fast and cost-effective with longer clips." The page text is almost entirely site navigation; the only concrete claims are a 15-second clip length and lower pricing versus whatever came before. No per-second or per-clip price, resolution, rate limits, benchmarks, model card, or API endpoint details appear in the text.
Why it matters
The only decision-relevant facts here are the 15-second clip ceiling and a vague "lower pricing" claim — not enough to re-cost a video pipeline or pick this over another model. If you generate video, the practical move is to wait for the pricing page and rate limits before committing, since a 15-second cap changes how you chunk prompts and stitch output but says nothing about cost per finished second.
Discussion angle
What number would actually make you switch — cost per finished second of video, or the 15-second cap? Compare against whatever you currently use for clip length and per-second spend, and note that this post gives neither.