Nano Banana 2.1 vs Nano Banana 2: What Changed and When to Switch
Nano Banana 2.1 vs Nano Banana 2: Google's own preference scores, the new thinking level, dropped 0.5K size, fixed panoramas, price and the shutdown date.
Nano Banana 2.1 vs Nano Banana 2 is less of a choice than it looks. In Google's own human-preference evaluation, raters picked Nano Banana 2.1 over Nano Banana 2 overall, scoring it 1050 against 990[1]. Google also lists it at about half the price per image[2] and has scheduled the old model's Gemini API shutdown for October 29, 2026[3].
What still deserves a careful look is the detail: one size was removed, the thinking default changed, and a few parameters behave differently. This article covers what changed, where Nano Banana Pro still fits, and what to change in your requests when you migrate.
TL;DR
- Nano Banana 2.1 went GA on October 6, 2026 as an update to Nano Banana 2 (
gemini-3.1-flash-image)[3]. Google's model card says it is based on Gemini 3.6 Flash[1]. - Quality: Google lists better realism, sharper text and infographic layout, and fixed tiling artifacts on 1:4, 4:1, 1:8 and 8:1 images at 2K and 4K[4].
- Thinking: three levels (minimal, medium, high) with medium as the default, where Nano Banana 2 had minimal and high with minimal as the default[5].
- Sizes: 1K, 2K and 4K. The 0.5K size is not supported on Nano Banana 2.1[5].
- Price: Google's image output rate fell from $60 to $30 per million tokens, so a 1K image lists at $0.0336 instead of $0.067[2].
- Status: Nano Banana 2 is deprecated in the Gemini API, with shutdown on October 29, 2026[3].
What Nano Banana 2.1 actually is
Google released Nano Banana 2.1 under the model code gemini-nano-banana-2.1, a stable release rather than a preview[3]. It is the same product line as Nano Banana 2, not a new tier above it: the changelog describes it as an update to gemini-3.1-flash-image[3], and the model card places it on Gemini 3.6 Flash[1].
Google's launch post summed up the release as outperforming its previous models "across the board, with notable leaps in visual design, mask-based editing, and subject consistency"[6]. The developer model page is more concrete. It lists improved visual quality and realism, the tiling fix for panoramic ratios at 2K and 4K, and more accurate text rendering and infographic layout[4].
Nano Banana 2.1 vs Nano Banana 2, line by line
| Nano Banana 2.1 | Nano Banana 2 | |
|---|---|---|
| Gemini API status | GA since October 6, 2026[3] | Deprecated, shutdown October 29, 2026[3] |
| Output sizes | 1K, 2K, 4K | 0.5K, 1K, 2K, 4K[5] |
| Aspect ratios | 14, from 8:1 to 1:8 | 14, from 8:1 to 1:8[5] |
| Wide ratios at 2K/4K | Tiling artifacts fixed[4] | Affected by the artifacts Google fixed |
| Reference images | Up to 14 (10 objects, 4 characters) | Up to 14 (10 objects, 4 characters)[5] |
| Search grounding | Web and image search | Web and image search[5] |
| Thinking levels | Minimal, medium, high (default medium) | Minimal, high (default minimal)[5] |
| Google list price, 1K | $0.0336 | $0.067[2] |
| Google list price, 4K | $0.0756 | $0.151[2] |
Two rows matter most in practice. The thinking default moved from minimal to medium, so a request that sets nothing now reasons more before it draws. In three of our own requests on October 7, 2026, the default level used 892 thinking tokens, minimal used none and high used 2,658. The prompts differed, so read that as a range, not a benchmark. The second is the dropped 0.5K size: code that asks Nano Banana 2.1 for 512-pixel thumbnails gets an error. We saw Unsupported imageSize … Use one of: 1K, 2K, 4K.
Where Nano Banana Pro fits
The bigger surprise in Google's model card is Nano Banana Pro. In the same human-preference evaluation, Nano Banana 2.1 beat it on all three headline measures[1]:
| Elo (Thinking variants) | Nano Banana 2.1 | Nano Banana 2 | Nano Banana Pro |
|---|---|---|---|
| Overall preference | 1050 | 990 | 935 |
| Multi-character consistency | 1106 | 978 | 1011 |
| Mask / ink-based editing | 1049 | 965 | 927 |
Google still positions Nano Banana 2.1 as "the more efficient counterpart to Gemini 3 Pro Image"[5], and the two split references differently. Nano Banana Pro keeps up to 6 objects and 5 characters, against 10 objects and 4 characters on Nano Banana 2.1, and Pro does not support image-search grounding[5]. Pro also costs more: $0.134 at 1K and 2K and $0.24 at 4K on Google's list[2].
Our editorial read: if your work centers on five consistent characters in one scene, test Pro. For almost everything else, the scores and the price point toward Nano Banana 2.1.
How much weight to give these scores
These are Google's numbers for Google's models, measured by Google's raters on Google's prompt set[1]. They are useful as a direction, not as a verdict on your own images. Early community posts already push back on specific cases. One Reddit thread in r/FluxAI is titled "FLUX 3 - CRUSHES NANO BANANA 2.1 in repeated edit drift benchmark"[7], and a post in r/Bard reports that Nano Banana 2.1 "Ignores instructions"[8]. These are single posts from the first day of the release, not measurements, but they are a reminder to run your own prompts before switching a production pipeline.
Migrating from Nano Banana 2 to Nano Banana 2.1
If you call Google directly, the change is the model code and two parameters:
- Replace
gemini-3.1-flash-imagewithgemini-nano-banana-2.1[3]. - Remove any
512(0.5K) image size. Use1Kinstead[5]. - Set the thinking level explicitly if you relied on the old minimal default[5].
On reAPI, Nano Banana 2 and Nano Banana 2.1 are separate model ids on the same endpoint, /api/v1/images/generations. The request bodies differ in a few places:
| reAPI field | Nano Banana 2 (gemini-3.1-flash-image-preview) | Nano Banana 2.1 (nano-banana-2.1) |
|---|---|---|
| Aspect ratio | size | aspect_ratio (plus auto) |
| Resolution | 0.5k–4k | 1k–4k |
| Images per request | n 1–4 | One image per request |
| Thinking | Not exposed | thinking_level |
| Billing | Priced by resolution | One flat price per image |
The full parameter reference is in the Nano Banana 2.1 API docs, and current rates for both are on the Nano Banana 2.1 and Nano Banana 2 model pages. For a price breakdown by resolution, see Nano Banana 2.1 API pricing.
FAQ
Is nano banana 2 still the best?
Not by Google's own measure. In its model card, raters preferred Nano Banana 2.1 over Nano Banana 2 overall (Elo 1050 vs 990)[1], and Google lists the newer model at about half the price[2].
What's the best version of nano banana?
For most work, Nano Banana 2.1: it is the newest release, scored highest overall in Google's evaluation (1050, against 990 for Nano Banana 2 and 935 for Pro), and is the cheapest of the three on Google's list[1][2]. Pro still keeps up to five characters consistent, against four on 2.1[5].
Is nano banana pro newer than nano banana 2?
They are different lines: Nano Banana 2 is on the Gemini Flash image line and Pro on Gemini 3 Pro Image[5]. The newest of the three is Nano Banana 2.1, generally available since October 6, 2026[3].
Is nano banana 2 available?
In the Gemini API, Nano Banana 2 is deprecated and scheduled to shut down on October 29, 2026[3]. Check the Nano Banana 2 model page for its current status on reAPI.
nano banana 2.1 release date
Google made Nano Banana 2.1 generally available on October 6, 2026[3]. The DeepMind model card carries the same publication date[1].
nano banana 2.1 benchmark
Google's published benchmark is a human-preference Elo evaluation in the model card: 1050 overall for Nano Banana 2.1, 990 for Nano Banana 2 and 935 for Nano Banana Pro[1]. We have not found an independent benchmark of the release yet.
Picking between Nano Banana 2.1 and Nano Banana 2 today
For new work there is little reason to start on Nano Banana 2: the update scores higher in Google's evaluation, lists at about half the price, and is the version that stays supported in the Gemini API. Existing pipelines need three edits, mostly around the 0.5K size and the thinking default. Keep a short set of your own prompts to compare before you switch production traffic. That way the Nano Banana 2.1 vs Nano Banana 2 decision rests on your images, not only on Google's scores.
References
- Google DeepMind. Nano Banana 2.1 model card. Retrieved October 2026 from deepmind.google/models/model-cards/nano-banana-2-1
- Google. Gemini Developer API pricing. Retrieved October 2026 from ai.google.dev/gemini-api/docs/pricing
- Google. Gemini API release notes. Retrieved October 2026 from ai.google.dev/gemini-api/docs/changelog
- Google. Gemini Nano Banana 2.1 model page. Retrieved October 2026 from ai.google.dev/gemini-api/docs/models/gemini-nano-banana-2.1
- Google. Nano Banana image generation. Retrieved October 2026 from ai.google.dev/gemini-api/docs/image-generation
- Google. Meet Nano Banana 2.1 (post on X). Retrieved October 2026 from x.com/Google/status/2107501209154204148
- Reddit r/FluxAI. FLUX 3 - CRUSHES NANO BANANA 2.1 in repeated edit drift benchmark. Retrieved October 2026 from reddit.com/r/FluxAI/comments/1wz97mh
- Reddit r/Bard. Nano Banana 2.1 - Ignores instructions. Retrieved October 2026 from reddit.com/r/Bard/comments/1wyo834
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