Editorial illustration for Google launches Nano Banana 2 Lite image model and Gemini Omni Flash video API
Google launches Nano Banana 2 Lite image model and...
Google launches Nano Banana 2 Lite image model and Gemini Omni Flash video API
Google just added two generative‑AI models to its cloud toolbox. Nano Banana 2 Lite, labeled gemini‑3.1‑flash‑lite‑image in the API, promises text‑to‑image output in about four seconds and a price tag of $0.034 per 1K‑resolution picture. While speed is its headline, Google says the model still handles prompt nuance, keeps characters consistent and even renders readable text. The rollout isn’t limited to developers; the same engine is slipping into consumer services such as AI Mode in Search, the Gemini app, NotebookLM, Google Photos, Stitch, Google Flow and Google Ads.
On the video side, Gemini Omni Flash opens a new API endpoint that turns text prompts into editable clips up to ten seconds long, charging $0.10 for each second of output. It’s the first time Google’s platform lets developers script video generation and editing through a simple call. The company nudges users to chain the two: spin up a quick image with Nano Banana 2 Lite, then hand it off to Omni Flash for animation. That kind of end‑to‑end pipeline could streamline high‑throughput creative workflows, but the real‑world impact will depend on how easily the models integrate into existing stacks.
Google says the model's strengths are conversational video editing through natural language, the ability to mix input formats like text, images, and video, and tapping into Gemini's world knowledge for generation.
Why this matters
We see Google pushing speed‑first generative tools straight into developers’ hands. Nano Banana 2 Lite can spit out a 1K image in about four seconds for $0.034, and the company claims it still handles prompts reliably, keeps characters consistent and renders readable text. Gemini Omni Flash, by contrast, lets an API consumer produce or edit up to ten seconds of video at $0.10 per output second, all from a text prompt.
Google’s own guidance suggests chaining the two—create a still, then animate it—so the workflow could become a single‑line call for many apps. Yet it’s unclear how well the video model scales beyond ten seconds or how it copes with complex motion and scene changes. The pricing appears modest, but developers will need to test whether the cost‑to‑quality ratio holds up in production.
As the models roll out across Google’s broader services, we remain cautious: speed is valuable, but reliability, flexibility and ecosystem support will ultimately determine whether these APIs become core building blocks or niche utilities.
Further Reading
- Google launches Nano Banana 2 model with faster image generation - TechCrunch
- Google launches Nano Banana 2 with speed, image quality improvements - Silicon Angle
- Google Nano Banana 2 arrives: How to try it now - Mashable
- Nano Banana 2: Combining Pro capabilities with lightning-fast speed - Google Blog
- Gemini 3.1 Flash Image – Nano Banana 2 - Google DeepMind