SyncAI.news, a Varaisys broadcasting
Start building with Nano Banana 2 Lite and Gemini Omni Flash
GD

Google DeepMind

· 1 min read

AI LabsGoogle DeepMind

Start building with Nano Banana 2 Lite and Gemini Omni Flash

Jun 30, 2026

|

We’re making it easier to experiment and scale your ideas with Nano Banana 2 Lite, our fastest, most cost-efficient Gemini Image model, and Gemini Omni Flash for high-quality video generation and conversational editing.

Alisa Fortin

Product Manager, Google DeepMind

Anish Nangia

Product Manager, Google DeepMind

Today, we’re making it faster and easier to experiment, refine and scale your ideas with two major releases:

  • Introducing Nano Banana 2 Lite: Our fastest, most cost-efficient image model in the Nano Banana family yet, built for high throughput, speed and scale. Nano Banana 2 Lite is available today in Google AI Studio, Gemini API and Gemini Enterprise Agent Platform. It is also rolling out today in Google consumer surfaces including AI Mode in Search, Gemini app and many other products.
  • Bringing Gemini Omni Flash to developers: Our high quality, cost-efficient model for video generation and conversational editing, now available in Google AI Studio, the Gemini API and Gemini Enterprise Agent Platform for the first time. Omni Flash is also available in the Gemini app and Google Flow.

Building with generative media is often about creative iteration. With these two models, developers can build comprehensive, end-to-end multimedia experiences that connect rapid image generation with video creation and editing. Whether your workflow requires generating thousands of images or editing multi-turn video sequences, you now have two new models to build faster, iterate seamlessly and bring your creative vision to life.

Nano Banana 2 Lite: our fastest most cost-efficient Gemini Image model

Watch a side-by-side comparison of image generation speed and quality between Nano Banana 2 Lite and Nano Banana 2 using a simple prompt.

Performance benchmarks for Nano Banana 2 and 2 Lite compared to competitor AI image models, evaluating trade-offs between generation/editing quality (Elo scores), processing latency and cost per 1K-resolution image.

Original source

This story was published by Google DeepMind. SyncAI.news shows a preview; the complete article is on the publisher's site.

Read the full story on deepmind.google

Similar News