Nano Banana 2.1, Explained: Specs, API Price, Limits

Nano Banana 2.1 is Google's image generation and conversational editing model, listed in the Gemini API with the model code gemini-nano-banana-2.1. Google calls it the latest high-efficiency image model and an update to Nano Banana 2, which is Gemini 3.1 Flash Image. Its latest update is dated October 2026, and it is published as a stable model rather than a preview.

The point of the release is Flash-level speed and cost with better pictures. Google lists improvements in visual quality, prompt adherence, character consistency across turns and text rendering, and positions it as the more efficient counterpart to Gemini 3 Pro Image, better known as Nano Banana Pro.

You talk to it like a chat model: text, images, video and even PDFs go in, images and text come out. That makes it good at edits phrased in plain language ("make the jacket red, keep everything else") and at combining several references into one scene.

The direct route is Google AI Studio: pick gemini-nano-banana-2.1 in a new chat to test prompts, then create an API key and call the same model from the Gemini API. Requests look like any Gemini call: send text (and any reference images) and read the image parts from the response. Batch API is supported, context caching is not.

Three settings matter most. Resolution (1K, 2K or 4K) sets both detail and price, so render drafts at 1K and only re-render keepers at 2K or 4K. Aspect ratio covers the standard frames plus the new panoramic ones. Thinking level trades latency for planning; medium is the default.

Google's own tips are worth following: describe a scene positively instead of listing what to avoid, use camera language ("macro shot", "low-angle perspective") for composition, and when an image needs text, write the text first and then ask for the image. For text-heavy marketing graphics with a fixed layout, a template tool such as Supavisual's infographics maker can be faster.

The early launch thread on r/singularity is mixed. Commenters praise convincing motion blur and busy crowd scenes, with one noting that the blur adds natural "flaws" that make a shot look less AI-made, and some call the results the most realistic they have tested.

The complaints are specific. Background lettering in non-English scripts, Chinese signs in the posted samples, still comes out as gibberish unless you supply the exact text, and handwriting and fonts tend to look too uniform. Some see little improvement for a ".1" update, one finds it more restricted than the previous version, and others want harder tests, such as multi-panel comics with the same character throughout.

The practical reading: treat it as a cheap option for realistic images, and check every word in the output before you publish it.

Supavisual does not offer Google's model; it is a separate visual tool for brands and online stores, with its own generator and no API key or token math. Open the generator, write a prompt, add up to 6 reference images, pick a ratio and get up to 4 images per run. Each image is 1 credit.

Where it differs from a raw model is everything after the first image. The editor removes backgrounds, upscales, expands and retouches; templates restyle a product photo for categories from jewelry to food and beverage; smart resize turns one picture into 8 social formats or a custom size; and translate rewrites the text in an image into 37 languages. Paid plans add 8-second videos for 9 credits.

Hobbyist costs $19 a month for 800 credits ($9 the first month) and Unlimited is $99 per seat per month. Both include a commercial license. New accounts get 3 trial credits with watermarked previews.