AI news · Google · Nano Banana
Google maps how people use Nano Banana across 2.1 million chats
A privacy-protected study of Gemini image chats finds much of the marketing work serves new or invented brands, and that users start over far more often than they tweak.
Google researchers have mapped how people use Nano Banana, the image model in Gemini, without any researcher seeing a user’s images or prompts. Their paper, posted on 5 November 2026, studies 2.1 million conversations from early 2026 through Urania, a Google system that reports patterns under strict privacy guarantees, the abstract says.
The roughly 800 clusters fall into five groups: shop product shots, architecture and interiors, marketing material, educational and technical pictures, and viral and social sharing. They are compared on 21 traits, covering how people talk to the chatbot, composition, art styles and editing methods.
Some results run against the viral image of these tools. Even in the social and viral group, memes and jokes were the rarest traits and pictures of people the most frequent, Search Engine Journal reports. Requests to start from scratch outnumbered requests for small fixes by about two to one. In marketing chats, users spent their words on control: what must not appear, the lighting, which people are shown and where each element goes. Much of that work involved new, invented or little-known brands, and the researchers suggest some users may be designing branding for businesses not yet launched.
On our price sheet, checked on 11 November, a 1K image costs $0.067 on Nano Banana 2 through the Gemini API and $0.0336 on Nano Banana 2 Lite, while Google AI Plus costs $4.99 a month with downloads at 2K resolution, about 2,000 pixels wide.
Every restart and every small fix returns a whole new image billed in full, so a session’s cost is its number of attempts: on our rates, ten attempts at 1K cost $0.67 on Nano Banana 2 and $0.34 on Nano Banana 2 Lite.
Sources
- arXiv: How are viral trends different from educational and commercial uses of LLM image generation and editing?. Checked
- Search Engine Journal: Google discovers unexpected patterns in AI image generation. Checked
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