Better text, more controlled edits, and a lower image bill—with an important catch at 4K.
By Neo Dong · Founder of ReelDance
Drafted with AI assistance using official documentation and announcements.
An original AI editorial illustration accompanying this Nano Banana 2.1 story.
When I build creative tools, three things matter to me: an image that follows a brief, readable words, and its bill. In artificial intelligence, practical tools matter more than flashy promises. Google's release of gemini-nano-banana-2.1 brings welcome updates to each of these areas.
Readable Text and Cleaner Layouts
In design, my priority is clean text. If a poster has wrong words, it needs fixing before anyone can use the graphic.
According to Google's documentation, gemini-nano-banana-2.1 improves text and infographic layouts. For wide display graphics and banners, the documentation confirms support for panoramic ratios: 1:4, 4:1, 1:8, and 8:1. Google reports that it fixed stitching artifacts that previously disrupted 2K and 4K panoramic outputs.
I recommend describing exact text placement. Here is a prompt I propose:
A minimalist exhibition poster with bold sans-serif text reading 'SUMMER SALON' centered at the top, a smaller subhead 'Gallery B', and a ceramic vase standing in front of the letters.
Watching how models align text and objects shows whether an image tool can follow a real design brief.
Editing Parts of an Image
Most image projects do not finish on the first attempt. You might love a product shot, but need to move it from a studio table to an outdoor patio. Starting over from scratch wastes time and gives you an entirely different product.
According to Google's image generation guide, Nano Banana 2.1 supports conversational editing. You can ask the model in plain language to change one part of an image while leaving the rest in place. For example, you can keep a perfume bottle or a sneaker exactly where it stands and ask for a sunny park background instead of a grey studio wall.
My advice when asking for background swaps is to always zoom in on your subject. Check product outlines, brand logos, and fine edges. Even with conversational editing, small shifts can happen around fine details. Knowing where to look helps you catch errors early.
Keeping Characters and Objects Consistent
For storyboards and marketing campaigns, keeping the same subject across different scenes is critical. If your main character wears different clothes or changes their face in panel two, the story breaks down.
Google's documentation states that Nano Banana 2.1 supports up to 14 reference images in a single request. The model maintains consistency for up to 4 characters and up to 10 objects across those references, without a rigid split between people and items.
I recommend uploading clear photos of your product from different angles when you build a new scene. Giving the model useful reference views helps it follow your subject across images.
Graphic Layouts Across Modern Tools
This emphasis on clean text and structured layout is spreading across modern creative workflows. When OpenAI introduced ChatGPT Images 2.5, its announcement highlighted similar priorities: legible typography, conversational image editing, and consistent character details across revisions. For me, seeing multiple platforms focus on legible lettering and dependable revisions validates what matters most in practical production. Creators need tools that reliably follow exact instructions without forcing designers to start completely from scratch.
Understanding the New Pricing Schedule
Under Google's developer pricing, tokens are the billing units used to count API use. Image output fees for 1K and 2K halve compared to Nano Banana 2. At 4K, output uses 3,780 tokens instead of 2,520, so the image output fee drops by 25%.
Because prices for input prompts and thinking tokens increased, your final bill depends on your entire prompt history, not just the image fee.
| Pricing Metric | Nano Banana 2.1 | Nano Banana 2 | Nano Banana Pro | GPT Image 2 (Launch Reference) |
|---|---|---|---|---|
| Text Input ($/1M tokens) | $1.50 | $0.50 | $2.00 | $5.00 |
| Image Input ($/1M tokens) | $1.50 | $0.50 | $2.00 | $8.00 |
| Text / Thinking Output ($/1M tokens) | $7.50 | $3.00 | $12.00 | Not comparable* |
| Image Output ($/1M tokens) | $30.00 | $60.00 | $120.00 | $30.00 |
| 1K Image Output Fee | $0.0336 | $0.0672 | $0.134 | Varies by size and quality |
| 2K Image Output Fee | $0.0504 | $0.1008 | $0.134 | Varies by size and quality |
| 4K Image Output Fee | $0.1134 | $0.1512 | $0.240 | Varies by size and quality |
Rates from Google standard API pricing. GPT Image 2 uses April 21, 2026 launch rates with text billed separately. Nano Banana Pro per-image rates reflect Google's published schedule.
Rollout Across Google Services
Google announced the release on X, and a follow-up reply confirmed that the model is rolling out across seven surfaces: the Gemini app, AI Mode in Search, Google AI Studio, Google Flow, Stitch, Google Ads, and the Gemini Enterprise Platform.
Try Nano Banana 2.1 on ReelDance
When I choose an image model, my priorities are clear text, predictable costs, and dependable layouts. When a tool delivers on those basics, it makes sense to pick it for creative projects.
We have added Nano Banana 2.1 to the image generator on ReelDance. You can start using it right away:
- Open ReelDance and click Image Generator.
- Select Nano Banana 2.1 from the model dropdown.
- Write your prompt describing your scene and text.
- Choose your aspect ratio and resolution.
- Check the displayed credit cost and click generate.
Give the new model a try on your next project and see how it fits your workflow.
Sources
- Google Gemini API: Nano Banana 2.1 Documentation
- Google Gemini API: Image Generation Guide
- Google Gemini API: Developer Pricing
- Google Official Announcement on X
- Google Rollout Surfaces Post on X
- OpenAI: Introducing ChatGPT Images 2.5
- OpenAI Developer Community: Introducing GPT Image 2
About the Author
Neo Dong is the founder of ReelDance and specializes in AI video generation products. He brings years of experience building AIGC products, with a focus on practical creative workflows.
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