ಜೆಮಿನಿ 3.1 ಫ್ಲ್ಯಾಶ್ ಇಮೇಜ್

Gemini 3.1 Flash Image, known as Nano Banana 2, is Google's latest image generation and editing model, delivering Pro-level visual quality at Flash speed. It pairs strong contextual understanding with fast, cost-efficient inference, which makes complex generation and iterative edits far more affordable. Aspect ratio is controllable per request.

Nano Banana 2 is the model Google built to close the gap between the two halves of its image line: the reasoning and world knowledge that had been exclusive to the Pro tier, running at the speed and price of the Flash tier. Google's own summary of the family calls it the generalist workhorse, the best balance of quality against cost and latency, and it is the one to reach for unless a specific job argues otherwise.

The capabilities Google carried down from Pro are the ones that make an image useful rather than merely attractive. It draws on Gemini's knowledge of the real world and can pull live information and images from web search to render a specific subject accurately, which is what lets it build infographics, turn handwritten notes into diagrams and produce data visualisations. Text rendering came down too, including translating and localising the words already inside an image.

Speed changes how the model is used more than what it can do. Google's argument is that fast generation makes iteration possible - you edit and regenerate rather than writing one careful prompt and accepting the result - and it pairs that with stricter instruction following, so a complex request lands closer to what was asked on the first attempt. Subject consistency is stated precisely: character resemblance held for up to five characters, and fidelity maintained for up to fourteen objects in a single workflow, which is what storyboarding a sequence requires.

On output specifications Google is aiming at production rather than previews. Aspect ratios and resolutions are under the caller's control from 512 pixels up to 4K, so the same model serves a vertical social post and a wide-screen backdrop, and the lab describes the visual upgrade over the original Nano Banana as more vibrant lighting, richer textures and sharper detail. Every image carries a SynthID watermark, now paired with interoperable content credentials so a viewer can see not just whether AI was used but how.

Where it stops is stated by Google itself: keep Nano Banana Pro for high-fidelity work that demands maximum factual accuracy, and use this model for rapid generation, precise instruction following and search-grounded imagery. It generates one image per call and has no mask-based editing, so edits are described in language rather than painted onto a region.