--- title: Gemini Omni 1.2 Flash | daily.dev description: Google has made Gemini Omni 1.2 Flash generally available across the Gemini API and Gemini for business. It now generates and edits videos natively up to 15... canonical: https://daily.dev/posts/gemini-omni-1-2-flash-hir1yt8a1 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Gemini Omni 1.2 Flash | daily.dev og:description: Google has made Gemini Omni 1.2 Flash generally available across the Gemini API and Gemini for business. It now generates and edits videos natively up to 15... og:url: https://daily.dev/posts/gemini-omni-1-2-flash-hir1yt8a1 og:image: https://api.daily.dev/og/posts/HIr1yT8A1.png og:image:alt: Gemini Omni 1.2 Flash og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Gemini Omni 1.2 Flash **[Hacker News](https://daily.dev/sources/hn)** · 4 min read · 0 upvotes · 0 comments ## Summary Google has made Gemini Omni 1.2 Flash generally available across the Gemini API and Gemini for business. It now generates and edits videos natively up to 15 seconds long, up from 10 seconds in Omni 1.1, with duration adjustable in one-second increments from 3 to 15 seconds. Pricing dropped 30% from Omni 1.1 to $0.07 per second for 720p video. The update adds multi-turn conversational editing across full 15-second clips, stronger reference adherence for faces and brand details, more natural multi-speaker dialogue, and SynthID watermarking on outputs. Provisioned Throughput is now available for enterprise use. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### How much does Gemini Omni 1.2 Flash cost per second of video? Gemini Omni 1.2 Flash costs $0.07 per second for 720p video, a 30% price drop from Gemini Omni 1.1. The model is generally available through the Gemini API and Gemini for business, and supports drafting at 360p or 720p before upscaling finished clips to 1080p or 4K. _Developers pricing out video generation costs can track model pricing changes like this on daily.dev._ ### What is the maximum video length Gemini Omni 1.2 Flash can generate? Gemini Omni 1.2 Flash generates and edits videos natively up to 15 seconds long, an increase from the 10-second limit in Omni 1.1. Duration can be specified in one-second increments from 3 to 15 seconds, and multi-turn conversational editing works across the full 15-second clip. _Teams evaluating AI video tools for longer-form content can follow model capability updates like this on daily.dev._ ### Does Gemini Omni 1.2 Flash support editing a generated video without starting over? Yes, Gemini Omni 1.2 Flash supports multi-turn conversational editing, letting you refine the same clip turn by turn, such as swapping a product or background, changing lighting or weather, or switching aspect ratio, instead of regenerating the entire clip. This works across full 15-second clips. _Developers building iterative creative workflows can keep up with AI video editing features like this on daily.dev._ ## Community take How the wider developer community reacted, aggregated from 2 discussions and 184 comments across hackernews (as of 2026-11-06). **TL;DR:** The discussion is dominated not by the video model itself but by widespread frustration with Google's confusing product naming, fragmented subscription tiers, and painful onboarding/billing UX, with a smaller contingent defending the models as competitive once you actually get access. **Sentiment:** 10% positive · 15% mixed · 75% skeptical **The case for** - Some find the underlying models (e.g. the Flash/Argon-tier models) genuinely good for coding review, copywriting, and everyday conversational use once accessed. - A few note the free/ad-supported AI search experience is surprisingly solid for casual 'normie' use. - Routing through OpenRouter or Vercel's AI gateway is seen as a reliable workaround to actually try new models quickly. **The pushback** - Many report it's extremely hard to figure out which plan/account gives access to the latest model, with business/workspace accounts often stuck on older versions. - Confusing, inconsistent naming conventions (Flash, Experimental, Omni, Argon, Carbon) make it hard to know what a given model actually is or how capable it's supposed to be. - AI Studio and the broader Cloud/Vertex onboarding flow are repeatedly called some of the worst developer UX encountered, requiring many steps just to get a working API key or billing. - Several paying subscribers say they still can't access the newest models, hit errors, or get rate-limited almost immediately after starting. - A few report flaky reliability: random 500 errors, inconsistent routing between AI Studio and Vertex, and unpredictable safety-filter failures. **By community** - hackernews (skeptical): The thread is overwhelmingly focused on frustration with Google's confusing plans, naming, and access friction rather than the model's new video features. **Hottest debate:** Whether the access/naming/UX problems reflect genuinely bad product execution at Google or are being overstated/astroturfed compared to equally messy competitor offerings. **Open questions** - Which exact subscription tier and account type (personal vs. workspace vs. API) actually grants access to Omni 1.2 Flash and when. - Why enterprise/workspace accounts get delayed rollouts compared to personal paid accounts. - Whether the reported 500 errors and tool failures are isolated bugs or a broader reliability issue with the rollout. **Highlights** > It's insane how Google has dropped the ball almost completely with AI. I literally don't care about their models anymore because I can't even try them without paying for them? I already pay for the plus plan but whatever their latest model was, is locked for me. Or otherwise it's just not accessible for me. If I try to add balance to my Google payment account, it shows me errors and is asking me to verify my identity through government documents. --- Not to mention the extremely confusing terminology. "Flash", "Experimental". Why are most of your models either of those two? I don't get the confidence that your models are any good because of such names. Give me a normal reliable model! Even if Google releases AGI tier models in the future, I'll always look for other models because Google clearly thinks their models are too good for any of us. > — [wxce on hackernews · 24 comments](https://news.ycombinator.com/item?id=50392583) > > "AI Studio is legitimately the worst UX experience on the internet." I find it hard to believe there aren't worse ones out there. But off the top of my head I actually can't think of any... Quite incredible that you can say a sentence like that, while talking about something within Google(/Alphabet) that's actually an important area for them (not just some random little side project), and yet it isn't hyperbolic, it's sincere! Everyone there overseeing it (from direct management all the way up to C-suite) should truly feel embarrassed. > — [swores on hackernews · 2 comments](https://news.ycombinator.com/item?id=50393038) > Yep, seriously. We live in a world where OpenAI and Anthropic each have about 60 different products named with variations of "Codex"/"ChatGPT" or "Claude", on top of a model matrix of about 100 different choices of name/version/reasoning level/variant. But somehow Google's comparatively streamlined offerings are impossibly confusing for HN to understand. "How do I even pay for it?" is particularly baffling to me considering it's literally just included in their normal range of Google One subscriptions that bundle Drive/etc which have been around for years. You pick a plan and pay for it, and sign in to whichever app you're using like Gemini chat (ChatGPT/Claude Chat) or Antigravity (Codex/Claude Code). https://one.google.com/about/ AI Studio is the developer console (OpenAI Platform/Claude Platform). Vertex AI is the Google Cloud enterprise platform (using GPT or Claude models via AWS Bedrock/Azure AI Foundry). Pretty much every product is a 1:1 equivalent with the same offering from OpenAI/Anthropic + Azure/AWS. Google is both a hyperscaler and an AI lab, so the venn diagram includes both the direct OpenAI/Anthropic products and what they also serve for enterprises via Azure/AWS. I get that Google does bad stuff and isn't popular on HN which is understandable, but the specific criticisms really don't make sense. The entire AI developer/consumer space is messy and confusing but that's an industry wide complaint not specific to Google unless they should just not compete on certain verticals. > — [qlte on hackernews](https://news.ycombinator.com/item?id=50396094) > No, it's exactly because of the copious resources. Vertex AI existed as an ML platform before the GenAI era. DeepMind was doing it's thing in another silo. Then Gemini products came along. Then they acquired the Windsurf folks. A smaller company would have no choice but to focus on one team and one product. Google has a Darwinian ecosystem and someone has to come along and smash teams together, clumsily refactoring the technology and user journeys. Their employees read HN though and their VPs hear customers complain about onboarding. I hear there is an effort underway to create one unified agentic platform. > — [anon84873628 on hackernews](https://news.ycombinator.com/item?id=50394899) > Ironically, Gemini is excellent with UI/UX, and somehow they can't use it to improve themselves. > — [muzani on hackernews](https://news.ycombinator.com/item?id=50393141) **Source threads** - [hackernews](https://news.ycombinator.com/item?id=50392118) · 225 points · 182 comments - [hackernews](https://news.ycombinator.com/item?id=50381613) · 6 points · 2 comments ## Similar posts on daily.dev - [Introducing Gemini Omni](https://daily.dev/posts/introducing-gemini-omni-fosehbhac) · DeepMind · 0 upvotes · 0 comments - [Google’s Gemini Omni turns images, audio, and text into video — and that’s just the start](https://daily.dev/posts/google-s-gemini-omni-turns-images-audio-and-text-into-video-and-that-s-just-the-start-qugxttpsl) · TechCrunch · 0 upvotes · 0 comments --- Tags: [#google](https://daily.dev/tags/google), [#genai](https://daily.dev/tags/genai), [#google-gemini](https://daily.dev/tags/google-gemini), [#video-generation](https://daily.dev/tags/video-generation) [View this post on daily.dev](https://daily.dev/posts/gemini-omni-1-2-flash-hir1yt8a1) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Gemini Omni 1.2 Flash","url":"https://daily.dev/posts/gemini-omni-1-2-flash-hir1yt8a1","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/gemini-omni-1-2-flash-hir1yt8a1"},"datePublished":"2026-11-06T15:43:59.359Z","dateModified":"2026-11-06T19:15:41.442Z","description":"Google has made Gemini Omni 1.2 Flash generally available across the Gemini API and Gemini for business. 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