Nano Banana 2.1 model guide
A practical guide to Nano Banana 2.1 on GPT Image Hub: Google's update to Nano Banana 2 at half its image price, with measured render times, text rendering and reference-edit results, and when to choose Nano Banana 2 or Pro instead.
Nano Banana 2.1 is Google's update to Nano Banana 2 and the model Google now recommends for new projects. Its image output costs half as much as Nano Banana 2, so on GPT Image Hub it is 27 credits at 1K, 41 at 2K, and 91 at 4K. In the Hub's tests it rendered a menu with every price correct and turned one concept from a reference sheet into a finished sticker. It thinks before drawing, so 2K and 4K images can take several minutes.
Visual examples
Visual examples
A wide coastal scene from the Hub's 2.1 tests.
Golden-hour landscape
A wide coastal scene from the Hub's 2.1 tests.
Coastal road above turquoise sea at golden hour, small red convertible.One concept, finished
The middle mascot from a concept sheet turned into a die-cut sticker.
Turn the middle mascot into a sticker; keep its shape, colors and face.Draft cheap, finish at 4K
Compare directions at 1K for 27 credits, then render the winner at 2K or 4K.
Render the approved 1K layout again at 4K.Best use cases
- Menus, price lists, posters, and infographics where the text has to be right.
- Mascot, logo, and product concept sheets explored at low cost.
- Reference edits that finish one element from a sheet or combine several images.
- Gemini work that used Nano Banana 2, at half the image price.
Where to be careful
- Jobs that must return in seconds: thinking is always on, and in testing a 2K render took 284 s and a 4K render 515 s.
- 512px thumbnails, which Nano Banana 2.1 does not support.
Strengths
Half the image output price of Nano Banana 2: 27 credits at 1K, 41 at 2K, and 91 at 4K on GPT Image Hub.
Google describes it as improving visual quality, text rendering, and multi-turn consistency over Nano Banana 2.
Accurate text in layouts: a chalkboard menu came back with the title, four drinks, and every price as prompted.
Up to 14 reference images, for edits that pull one element out of a sheet or combine several sources.
Use cases
Menus, signs, and posters
Layouts where every word and price has to come out exactly as written.
Concept sheets
Several mascot, logo, or product directions on one sheet for quick review.
Reference edits
Pick one element from a reference and finish it, or combine up to 14 sources.
Workflow
Draft at 1K
At 27 credits, try several prompt directions and compare layouts.
Finish at 2K or 4K
Render the approved direction at 2K for 41 credits or 4K for 91; allow several minutes.
Refine with references
Attach the result and say what to keep and what to change.
Prompting guidance
- Put any on-image text in quotes and list prices or labels exactly as they should appear.
- Name the output type first: menu, poster, product shot, sticker, or concept sheet.
- For reference edits, say which element to keep and what may change, for example keep the face and colors, change only the outline.
- Start at 1K to check layout, then render the approved prompt at 2K or 4K.
Copy-ready prompts
Chalkboard-style cafe menu poster titled "MORNING BREW" in hand-lettered white chalk, four drinks with prices: Espresso 3.00, Flat White 4.20, Oat Latte 4.80, Cold Brew 4.50, small doodles of coffee beans and a steaming cup.
Three quick concepts for a playful banana-themed AI mascot on one sheet, studio lighting, simple yellow and black palette, clean vector-like finish, no text.
Using the reference sheet, turn the middle mascot concept into a single finished sticker: keep its shape, colors and face, add a thick white die-cut outline and a subtle drop shadow.
Example outputs generated on GPT Image Hub
Official sources
FAQ
How is Nano Banana 2.1 different from Nano Banana 2?
Google describes 2.1 as an update to Nano Banana 2 with better visual quality, text rendering, and multi-turn consistency, and recommends it for new projects. Its image output costs half as much, and it drops the 512px size. On GPT Image Hub it is 27 credits at 1K and 41 at 2K, against 54 and 81 for Nano Banana 2.
How long does a 4K Nano Banana 2.1 image take?
Longer than other models: a 4K test through the Hub took 515 seconds. The Hub waits up to 800 seconds for a single image and refunds the credits automatically if generation fails.
Why does Nano Banana 2.1 take longer than other models?
Gemini 3 image models think before they draw, and the API does not let you turn it off. In the Hub's tests 1K images took 32 to 55 seconds, a 2K image 284 seconds, and a 4K image 515 seconds.
Use this model
Start from a prompt template or compare models first
Use the generator when you already know the model, or compare all supported models when the prompt needs a different balance of speed, detail, and reference inputs.