Nano Banana 2.1
Nano Banana 2.1 is Google's Gemini 3.6 Flash image model for fast, consistent generation and conversational edits. Upload references or start from a prompt.
Nano Banana 2.1: What Changed From Nano Banana 2
Nano Banana 2.1 is the October 2026 update to Google's Flash-tier image model. It keeps the speed and price of Nano Banana 2 but moves quality much closer to Pro: in Google's own side-by-side tests it wins on overall preference, multi-character consistency, multi-reference editing, and stylization against both earlier models. The practical difference is fewer retries. Multi-part prompts land more often on the first attempt, edits stay inside the region you describe, and characters hold their look across a series. You will see the same model written as nanobanana 2.1 in community posts and as gemini-nano-banana-2.1 in API listings; all three names point here.
Sharper instruction following
Describe several subjects, a layout, and a style in one prompt and the model resolves all of them instead of dropping the last clause. That matters most for infographics and diagrams, where Nano Banana 2.1 roughly tripled Google's factuality score over the previous release.
Region edits that stay in bounds
Point at the part to change with plain words, a mask, or a quick doodle. Mask and ink-based editing scored highest of any category in the model card, so swapping a mug for a glass no longer reshuffles the rest of the table.
Consistent characters and products
Feed up to 14 reference images and the same face, outfit, or packaging survives new poses, angles, and scenes. Teams running catalog batches describe this as the headline reason to move a nanobanana 2.1 pipeline off the older model.
Same Flash price, higher ceiling
Default output is 1K for speed, with 2K and 4K a click away. On the Gemini API the 1K price is about a quarter of Pro's, which is why the nano banana 2.1 vs pro question usually ends with 2.1 as the default and Pro as the exception.
Nano Banana 2.1 Use Cases: Catalogs, Campaigns, and Consistent Characters
Most people reach for Nano Banana 2.1 when they need many images that have to agree with each other. Below are the four jobs where the new consistency and editing gains show up fastest, plus how each one maps to the generator above. If you are still weighing nano banana 2.1 vs pro, these are the cases where 2.1 already covers the brief.
Nano Banana 2.1 Features: 4K Output, 14 References, and Targeted Edits
Everything the generator exposes for Nano Banana 2.1, what each control changes, and where it matters in the nano banana 2.1 vs pro decision.
Text-to-image and image-to-image
Generate from a prompt, or upload references and describe the edit. Both scenes run the same underlying model, so a look you create in a nanobanana 2.1 draft can be edited in the next tab.
Up to 14 reference images
Combine characters, products, and style references in one request. The model card documents multi-reference editing as a core strength of this release, and gemini-nano-banana-2.1 accepts them as a single image list.
1K, 2K, and 4K resolution
Start at 1K for fast drafts, then rerun the keeper at 2K or 4K. Pricing scales with output tokens, so you only pay for the resolution you actually deliver.
Fifteen aspect ratios
From 21:9 cinematic to 1:8 and 8:1 strips, plus auto, which matches your input image during edits. Earlier wide-format tiling artifacts are fixed in this release.
Thinking levels and search grounding
Choose minimal, medium, or high thinking depending on how complex the brief is, and enable web search when the image depends on current facts. gemini-nano-banana-2.1 exposes both in the API.
Clear text and multilingual labels
Posters, menus, and signage render legible text in several languages. Keep text short and generate at 2K or above; small type at 1K is the one area Google still flags as soft.
Nano Banana 2.1 FAQs
Short answers on access, limits, pricing, and how nanobanana 2.1 compares with the Pro model.
What is Nano Banana 2.1 and how is it different from Nano Banana 2?
It is Google's October 2026 update to the Flash-tier image model, built on Gemini 3.6 Flash. Compared with Nano Banana 2 it follows multi-part prompts more reliably, keeps characters and products consistent across more images, edits only the region you describe, and renders infographics with far better factual accuracy. Speed and the 1K price point stay the same.
Nano Banana 2.1 vs Pro: which one should I use?
Start with 2.1. In Google's side-by-side tests it scores above Pro on overall preference, editing, and consistency, at roughly a quarter of Pro's 1K image price. Reach for Pro when a specific recurring failure makes a 2.1 image unusable for your brief, or when an established Pro workflow already delivers. Our nano banana 2.1 vs pro guide walks through the decision with real briefs.
How many reference images can I upload, and what resolutions are supported?
Up to 14 reference images per request, in any mix of characters, products, and style samples. Output is available at 1K, 2K, and 4K across fifteen aspect ratios, including the ultra-wide 8:1 and tall 1:8 strips introduced with the previous version.
What does gemini-nano-banana-2.1 mean in API listings?
It is the model identifier most hosting providers use for this release. The generator on this page calls the same endpoints, so a prompt that works here will behave the same way if you later wire gemini-nano-banana-2.1 into your own pipeline. Default thinking level is medium and web search is off unless you enable it.
Where does nanobanana 2.1 still fall short?
Google lists small text at 1K, long paragraphs, occasional left-right confusion, and imperfect character consistency in long series as known limits. In practice: generate text-heavy layouts at 2K or higher, keep paragraphs out of the image, and re-anchor a character with a fresh reference every few frames.
How much does a generation cost here, and do I need an account?
Sign in to generate. A 1K text-to-image run costs 4 credits and an edit with reference images costs 5, reflecting the provider's token pricing for gemini-nano-banana-2.1; 2K and 4K cost more because they produce more output tokens. Previews are free to view, and downloads are included with any paid plan.
Still deciding? Read our full nano banana 2.1 vs pro comparison before you commit credits to a 4K batch.