Google unveils Nano Banana 2 Lite aka Gemini 3.1 Flash-Lite for low cost, 4-second fast enterprise image generations
Why this matters: a development in AI with implications for how people work, create, and decide.
Google is upgrading its AI image generation capabilities today with the debut of Nano Banana 2 (NB2) Lite, an optimized model built for rapid execution and tight infrastructure budgets. Technically designated as Gemini 3.1 Flash-Lite Image on Google's application programming interface (API), NB2 Lite is positioned as the fastest and most cost-effective option within Google's creative model family, capable of generating images in 4 seconds at a flat rate of $0.034 per 1,000 images. It's available immediately to enterprise developers through Google AI Studio, the Gemini API, and the Gemini Enterprise Agent Platform (GEAP).It's not quite as fast or customizable as startup Krea's new, partially open licensed Krea 2 Turbo (which allows for open modification and commercial usage by small enterprises), but the big selling point here is the low price and bundling with Google's larger Workplace and AI offerings. This release lands alongside the public preview of Gemini Omni Flash, a multimodal conversational video generation and editing model. However, while Omni Flash represents Google's long-term bet on agentic video manipulation, Nano Banana 2 Lite is the immediate infrastructure workhorse, tailored specifically for high-throughput commercial application, rapid programmatic prototyping, and automated asset generation workflows. The technology of speedAt its core, Nano Banana 2 Lite is built directly upon the Gemini 3.1 Flash Lite architecture, engineered to solve the persistent tension between computational latency and operational overhead. In high-velocity enterprise frameworks, traditional large-scale image models introduce significant friction due to multi-second processing delays and high per-token costs. Google's new lightweight model circumvents these bottlenecks by generating a standard 1k resolution image in under four seconds. This represents a stark performance optimization over its legacy predecessor, Nano Banana (Gemini