Start building with Nano Banana 2 Lite and Gemini Omni Flash
This article announces that Nano Banana 2 Lite and Gemini Omni Flash are now available for developers to start building applications, highlighting new tools for development.
This article announces that Nano Banana 2 Lite and Gemini Omni Flash are now available for developers to start building applications, highlighting new tools for development.
SynthePulse Insight · AI deep readingMembers
Version 1 · 3 sources
Google has released two new generative AI models: Nano Banana 2 Lite for fast image generation and Gemini Omni Flash, which brings video generation and editing to the API for the first time. Together, they enable end-to-end multimedia applications, but the video model currently has length and feature limitations.
Google released Nano Banana 2 Lite on June 30, 2026, positioning it for rapid ideation and high-throughput development pipelines. According to Google, the model generates images in just 4 seconds, with a cost of $0.034 per 1K-resolution image, significantly lower than Nano Banana 2's $0.067 and Nano Banana Pro's $0.134. The model identifier in the API is gemini-3.1-flash-lite-image.
Despite its speed, Google says Nano Banana 2 Lite reliably follows prompts, maintains character consistency, and generates readable text. The model has replaced the original Nano Banana (based on Gemini 2.5), which is now considered a 'legacy model.' Nano Banana 2 Lite is integrated into Google's consumer products, including AI Mode, the Gemini app, NotebookLM, Google Photos, Stitch, Google Flow, and Google Ads.
TechCrunch reports the model is 'significantly faster and more affordable,' noting a cost of $0.034 per 1,000 images (likely a typo, should be per image). Google positions Nano Banana 2 as an 'all-rounder,' while Pro targets complex professional use cases with the strongest control and advanced reasoning.
This report is based on Google's official blog and reports from two tech outlets. Key data such as pricing, speed, and feature limitations come from Google's statements but have not been independently verified. TechCrunch's '$0.034 per 1,000 images' contradicts The Decoder's '$0.034 per image,' likely a typo, and is noted as a source claim.
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