Start building with Nano Banana 2 Lite and Gemini Omni Flash
models
read at source ↗ deepmind.google
Start building with Nano Banana 2 Lite and Gemini Omni Flash
Source: DeepMind Date: 2026-06-30 URL: https://deepmind.google/blog/start-building-with-nano-banana-2-lite-and-gemini-omni-flash/
Summary
Google ships two lower-tier generative models: Nano Banana 2 Lite, a text-to-image model at $0.034 per 1,000 resolution images with 4-second generation, and Gemini Omni Flash, a multimodal video generation/editing model (up to 10 seconds, $0.10/second, accepting text/image/video input). Both sit below their flagship siblings (Nano Banana 2, Nano Banana Pro) in a now explicit good/better/best image ladder, and are pitched as a pair — fast cheap image generation feeding into short-form video editing.
Implications
- AI-industry economics: per-unit pricing this granular ($0.034/image, $0.10/second-of-video) signals generative media is being commoditized into metered infrastructure rather than sold as a product tier — the same move cloud compute made a decade earlier.
- Open-weight clock: tangential — these are closed API-only models, but the aggressive price floor puts pressure on open-weight image/video models to match cost-per-generation, not just quality.
- Dev tooling: availability across Google AI Studio, Gemini API, and Gemini Enterprise Agent Platform simultaneously suggests these are meant to be embedded in agent/app pipelines immediately, not tried standalone first.