Quick verdict
Nano Banana Review 2026: Google’s Gemini Image Model, Explained
Updated October 16, 2026 – Tested Intelligence
Quick verdict: “Nano Banana” is the nickname for Google’s Gemini image generation and editing models; the current version is Nano Banana 2.1 (model ID gemini-nano-banana-2.1), built on Gemini 3.6 Flash and generally available since October 6, 2026. Its strength is editing: change a photo with plain-language instructions and keep people, products, and objects consistent across many rounds of edits, at an API price as low as $0.0336 per 1K image. Most people can try it free in the Gemini app.
What it is
Nano Banana started as a codename. When Google launched an unusually good image editing model in the Gemini app on August 26, 2025, the name stuck, and Google has kept it as the family brand ever since. It has covered several distinct models, which makes version tracking confusing:
- Nano Banana (August 2025) – the original, formally Gemini 2.5 Flash Image.
- Nano Banana Pro (November 2025) – formally Gemini 3 Pro Image, the higher-fidelity tier.
- Nano Banana 2 (February 2026) – formally Gemini 3.1 Flash Image, which brought much of Pro’s capability to Flash speed and pricing. Deprecated; it stops being served on October 29, 2026.
- Nano Banana 2.1 (October 6, 2026) – the current default, built on Gemini 3.6 Flash, with improved visual quality, text rendering, mask-based editing, and subject consistency, according to Google.
You meet the model in the Gemini app, Search’s AI Mode, Google AI Studio and the Gemini API, and tools such as Flow, Stitch, and Google Ads. It generates images from text and, more distinctively, edits them conversationally: upload a photo, describe the change, and iterate.
Key features
- Conversational editing with consistency: the model accepts up to 14 reference images in one prompt and, per Google, keeps up to four characters and ten objects consistent across editing turns – the feature that made the original famous for virtual outfit changes and product shot variations.
- Mask-based editing: describe the one element to change and the rest of the image stays put, rather than regenerating the whole scene.
- Resolution and formats: output at 1K, 2K, and 4K, in aspect ratios up to ultra-wide 8:1 banners, with tiling artifacts on very wide images specifically addressed in 2.1.
- Text in images: improved rendering of lettering and infographic layouts – though Google DeepMind still cautions the model can struggle with small faces, accurate spelling, and fine details, so proofread anything you publish.
- Search grounding: the model can use Google Search and Image Search to check facts about people, objects, and events before drawing them.
- Thinking levels and watermarking: developers can set how much the model reasons before generating (minimal, medium, or high), and outputs carry Google’s SynthID watermark identifying them as AI-made.
Pricing
There are two ways to pay: consumer subscriptions for the Gemini app, and per-image API pricing for developers. Consumer use starts free with usage limits; Google’s paid AI plans raise them (US prices):
| Route | Price | What you get |
|---|---|---|
| Gemini app (Free) | $0 | Nano Banana image generation and editing with standard usage limits |
| Google AI Plus | $4.99/month | Roughly 2x the free usage limits, 400 GB storage |
| Google AI Pro | $19.99/month | Higher limits, full Gemini model access, 5 TB storage |
| Google AI Ultra | $99.99-$199.99/month | The highest limits (5x or 20x Pro), priority access to new features |
On the Gemini API, Google prices image output per million tokens, which works out per image as follows (Batch API is half price):
| Model | 1K image | 2K image | 4K image |
|---|---|---|---|
| Nano Banana 2.1 | $0.0336 | $0.0504 | $0.113 |
| Nano Banana 2 (until Oct 29, 2026) | $0.067 | $0.101 | $0.151 |
| Nano Banana Pro | $0.134 | $0.134 | $0.24 |
Input tokens are charged on top ($1.50 per million for Nano Banana 2.1); image models are a paid-tier API feature, testable in Google AI Studio.
Who it’s for
Marketers, sellers, and creators who edit real photos – swapping backgrounds, restyling product shots, generating ad variants – and need the subject to stay recognizably the same across edits. Developers get strong quality at Flash prices, especially at 1K, where 2.1 halved its predecessor’s cost. Casual users get a capable editor free inside Gemini.
Who should skip it
If you need maximum fidelity for hero images, step up to Nano Banana Pro – Google positions 2.1 as the efficient option, not the quality ceiling. If your work depends on pixel-perfect text, small faces, or fine detail, expect retries; Google DeepMind flags all three as weak spots. Anyone still calling the old gemini-3.1-flash-image API model must migrate before the October 29, 2026 shutdown.
Pros
- Best-in-class subject consistency across conversational edits
- Very cheap at 1K on the API, and free in the Gemini app
- Handles up to 14 reference images and 4K output, including ultra-wide formats
- Search grounding and SynthID watermarking built in
Cons
- Version naming is genuinely confusing – four models share one nickname
- Still struggles with small faces, exact spelling, and fine detail (per Google DeepMind)
- Free tier limits are usage-based and not published as a simple image count
FAQ
Is Nano Banana free?
Yes, in the Gemini app, with usage limits. Google AI Plus ($4.99/month), Pro ($19.99/month), or Ultra raises them. On the API, image generation is pay-as-you-go only.
What is the difference between Nano Banana 2.1 and Nano Banana Pro?
Nano Banana 2.1 is the fast, cheap Flash-tier model (from $0.0336 per image). Pro is the quality tier built on Gemini 3 Pro Image (from $0.134 per image) and still tends to produce visibly better color accuracy and proportions on demanding work, per Google’s own framing.
What happened to Nano Banana 2?
It was replaced by 2.1 on October 6, 2026. Google will stop serving the gemini-3.1-flash-image model on October 29, 2026, so developers should switch to gemini-nano-banana-2.1.
Bottom line
Nano Banana 2.1 is the image model most people will use: fast, cheap, and unusually good at keeping a subject consistent across conversational edits. Start free in the Gemini app; reach for Pro only when an image needs the extra fidelity.