Nano Banana 2.1 vs Nano Banana 2: 8 Side-by-Side API Tests

Irwin

1. Quick Verdict

Google released Nano Banana 2.1 in October 2026 as an update to Nano Banana 2. We ran both models through the GoEnhance API with the same eight prompts, the same settings and the same day, and put the results side by side. Short version: 2.1 follows instructions more closely and is cheaper at 1K and 2K, but the gap is smaller than the launch posts suggest.

Nano Banana 2Nano Banana 2.1
Text spelling (menu, infographic, bilingual poster)3 of 3 correct3 of 3 correct
Followed "minimal layout" on the posterNo, added extra packaging textYes
Counting test (7 apples + 3 pears)Wrong, drew 6 applesCorrect
Kept the character when editingYes, but invented a logoYes
8:1 panorama at 1KUsable, but looks stitchedSplit into 7 panels
8:1 panorama at 2KOne continuous viewContinuous, but repeats elements
Median time per image (1K, our run)18.6 s18.9 s
API price at 1K / 2K / 4K (tokens)3.3 / 5 / 7.52.92 / 4.02 / 8.08
On GoEnhance studio12 tokens per image6 / 9 / 17 tokens (2K and 4K for members)

Nano Banana 2 vs Nano Banana 2.1 counting test

2. How We Tested

Every image in this post comes from one API call per model, made through the GoEnhance image API on October 8, 2026:

  • Models: nano-banana-2 and nano-banana-2-1 for text-to-image, nano-banana-2-edit and nano-banana-2-1-edit for edits with reference images.
  • Settings: image_size 1K, default thinking level, no web search, the same aspect ratio for both models.
  • Timing: measured from submitting the job to the job reporting success, so it includes queue time.
  • One extra pair: the 8:1 banner again at 2K, because Google says its fix for wide ratios applies at 2K and 4K.

One run per prompt is not a benchmark. Treat this as a hands-on comparison: it shows where the two models behave differently on the same input, not an exact win rate. Google's own description of the update is on the Gemini API model page, which describes 2.1 as an update to Nano Banana 2 (Gemini 3.1 Flash Image). All sources are listed at the end of this post.

3. Text Rendering: Menus, Infographics and Bilingual Posters

Google lists "enhanced text rendering and infographic layout accuracy" as a headline change in 2.1, so we started there.

Chalkboard menu. Six items with prices, hand-lettered. Both models spelled every item and price correctly. 2.1 added small icons and colour to the lettering; Nano Banana 2 stayed closer to a classic white-chalk board.

Chalkboard menu: Nano Banana 2 vs Nano Banana 2.1

Infographic. "The Water Cycle" with four labelled stages. Again, all labels were correct on both. Nano Banana 2 boxed its labels, which reads well at small sizes; 2.1 drew a cleaner loop with the arrows in the right order.

Water cycle infographic: Nano Banana 2 vs Nano Banana 2.1

Bilingual poster. An English headline, a Chinese line and a small caption, with a "minimal layout". Both rendered the English and Chinese text correctly. The difference was restraint: Nano Banana 2 also printed its own label on the tea tin ("Hangzhou Spring Harvest, Loose Leaf Green Tea, net weight"), text we never asked for. 2.1 left the tin plain, which is what a designer would want before adding real packaging.

Bilingual tea poster: Nano Banana 2 vs Nano Banana 2.1

Takeaway: on clean, short text both models are already reliable. 2.1's advantage shows up as fewer unrequested extras rather than better spelling.

4. Prompt Adherence: The Counting Test

We asked for "exactly seven red apples and three green pears in a single row". Nano Banana 2 drew six apples. Nano Banana 2.1 drew exactly seven apples and three pears. It is one prompt, but it matches Google's claim of better prompt adherence, and counting is a classic failure point for image models.

If your prompts include quantities, such as "four chairs" or "a grid of nine icons", this is the most practical reason to switch.

5. Editing With Reference Images

Single reference. We gave both edit models a 2x2 grid of an orange robot and asked them to show it alone on the Moon, planting a flag, with the design unchanged. Both kept the round head, blue eyes and green scarf. Nano Banana 2 added a flag with an invented "R" logo; 2.1 kept the flag generic and added realistic dust on the robot.

Reference edit on the Moon: Nano Banana 2 vs Nano Banana 2.1

Two references. We combined the robot (image 1) with a green ceramic mug from a product poster (image 2) in a kitchen scene. Both models kept the robot and the mug recognisable. This one is a tie.

Two-reference composition: Nano Banana 2 vs Nano Banana 2.1

Google says 2.1 can fuse up to 14 reference images. Through the GoEnhance API and studio, both edit models accept up to 9.

6. Photorealism

A candid photo of an elderly fisherman mending a net at golden hour. Both results are convincing: natural skin texture, believable hands and soft backlight. We would not pick a winner here; choose by taste.

Fisherman portrait: Nano Banana 2 vs Nano Banana 2.1

7. Ultra-Wide 8:1 Banners

Several launch write-ups describe 1:4, 4:1, 1:8 and 8:1 as new in 2.1. They are not. Google's model page says 2.1 "fixed tiling artifacts" on these wide and tall ratios at 2K and 4K, and on the GoEnhance API Nano Banana 2 already accepts all four.

At 1K, neither model handled the format well. Nano Banana 2 produced a usable banner that looks like three shots joined together. Nano Banana 2.1 split the strip into seven separate panels, the kind of tiling Google's fix does not cover at this size.

8:1 coastal road banner at 1K: Nano Banana 2 vs Nano Banana 2.1

At 2K (5856 x 704 pixels), the result changes. Both models returned one continuous scene with no panel seams. Nano Banana 2.1's version still repeats elements, with two suns and two stretches of road, while Nano Banana 2's reads as a single wide-angle view.

8:1 coastal road banner at 2K: Nano Banana 2 vs Nano Banana 2.1

For banners, generate at 2K or above, or generate at 21:9 and crop. In the GoEnhance studio both models offer 9 common ratios, from 1:1 to 16:9 and 9:16; the extreme ratios are available through the API.

8. Speed and Price

Across our 16 jobs at 1K, speed was a wash: a median of 18.6 seconds for Nano Banana 2 and 18.9 seconds for 2.1, with one slow outlier on each side (54 s and 43 s).

Price is where 2.1 has a real edge at common sizes. On the GoEnhance API, 1 token = $0.02 (prices from the Nano Banana 2 and Nano Banana 2.1 API docs):

ResolutionNano Banana 2Nano Banana 2.1Difference
1K3.3 tokens2.92 tokensabout 12% cheaper
2K5 tokens4.02 tokensabout 20% cheaper
4K7.5 tokens8.08 tokensabout 8% more

Decrypt reports that Google's own developer price for 2.1 is about half that of Nano Banana 2. The saving you see through a reseller API depends on how that provider prices thinking and resolution, so check the price returned with each job.

In the GoEnhance text-to-image studio, Nano Banana 2.1 costs 6 tokens at 1K, 9 at 2K and 17 at 4K, with 2K and 4K for members. Nano Banana 2 is a flat 12 tokens per image.

9. Which One Should You Use?

Choose Nano Banana 2.1 if your prompts contain counts, layouts or "keep it simple" instructions, or if you generate a lot at 1K and 2K, where it is cheaper.

Keep Nano Banana 2 if you have prompts already tuned for it and rely on its look, or if you mostly output 4K, where it is slightly cheaper. As of October 8, 2026, Google's deprecations page lists no shutdown date for Nano Banana 2 (gemini-3.1-flash-image) and names Nano Banana 2.1 as its recommended replacement, so there is no rush, but 2.1 is where Google is heading.

For text-heavy designs, both are good; 2.1 is the safer default because it adds less unrequested text.

For more detail on each model, see our Nano Banana 2.1 page and Nano Banana 2 page. If you are weighing Google's higher tier as well, our Uni-1 vs Nano Banana Pro comparison covers Nano Banana Pro.

New to the family? Start with What Is Nano Banana and the original Nano Banana model.

How does 2.1 compare with OpenAI's latest model? See Nano Banana 2.1 vs GPT Image 2.5: 8 Side-by-Side API Tests.

10. FAQ

Is Nano Banana 2.1 better than Nano Banana 2? In our test it followed instructions more closely, most clearly on counting and on not adding extra text. Text spelling and photorealism were about equal.

Is Nano Banana 2.1 faster? Not noticeably. Median times were within half a second of each other at 1K.

Can I use both models through an API? Yes. On the GoEnhance API the model names are nano-banana-2-1 and nano-banana-2 for text-to-image, and nano-banana-2-1-edit and nano-banana-2-edit for editing with up to 9 reference images.

Do I need to change my prompts? Usually not. Prompts written for Nano Banana 2 worked unchanged in 2.1. If you relied on 2's habit of filling empty space with details, add those details to the prompt explicitly.

11. Sources

  1. Google AI for Developers, Nano Banana 2.1 model page: positioning as an update to Nano Banana 2, text rendering and infographic layout, the 2K and 4K fix for wide ratios, up to 14 reference images.
  2. Google AI for Developers, Gemini API deprecations: release and shutdown dates for the Nano Banana models.
  3. Google on X, Nano Banana 2.1 launch post: visual design, mask-based editing and subject consistency.
  4. Decrypt, Google Launches Nano Banana 2.1: Better Than Its Predecessor at Half the Price (October 6, 2026): launch coverage and developer pricing.
  5. GoEnhance API docs, nano-banana-2-1, nano-banana-2-1-edit and nano-banana-2: parameters, reference image limits and per-image prices used in this test.
  6. Our own test: 18 API jobs run on October 8, 2026, one per prompt and model; every image in this post is unedited apart from resizing and labels.