Nano Banana 2.1 on fal: Price, Limits and What Changed From Nano Banana 2 (October 2026)
Nano Banana 2.1 launched on 6 October 2026 and fal now marks Nano Banana 2 as superseded. Google's per-image rates, up to 14 references, region edits, and why a face reference for a video pipeline starts here.
Nano Banana is the nickname that stuck to Google's image-editing models, and 2.1, released on 6 October 2026 on top of Google's Gemini 3.6 Flash, is the current member of the family on fal. fal marks the previous Nano Banana 2 as superseded by it, and one source says the older endpoint is switched off on 29 October. For anyone whose video workflow starts with a generated or edited still, which is most good workflows, this is the update that changes the cost of the first step. The family is explained in what Nano Banana is; this guide covers the new version.
What it costs
fal's own pricing data shows only a placeholder for the 2.1 endpoints (a token-based "$1 per unit" that is not a real price), so the working numbers are Google's published per-image rates:
| Output size | Price per image |
|---|---|
| 1K | $0.0336 |
| 2K | $0.0504 |
| 4K | $0.113 |
Nano Banana 2 was $0.08 per image on fal, so at 1K the new version is about 2.4 times cheaper. Nano Banana Pro stays at $0.15 and remains a separate line on fal. Check the invoice on your first batch, because the price you see on a platform that resells it may include a markup or use a different unit.
What it accepts
- References: up to 14 images in one edit.
- Resolution: 1K, 2K or 4K.
- Region edits: instructions can target part of an image ("change only the jacket").
- Extra context: the model can read a video or a PDF as context for the edit.
- Safety tolerance: a setting from 1 (strictest) to 6.
The practical meaning of 14 references: a character in three angles, a second person, an object, a setting and a style frame all in one request.
Why it matters for video
Video costs dollars per attempt; image edits cost cents. Anything you can decide in the image step, you decide there. The standard routine is:
- Design the character or the scene as a still. Full body in frame if the clip will include a dance, feet visible; plain background if you will cut the figure out.
- Compose multi-subject frames here. Two people in one frame for a hug video, a person and a product, a baby at a podcast microphone (the AI hug video, the baby dance).
- Approve the still, then animate it.
In our pipeline Nano Banana is the model that builds the reference images of your avatar and the anchor frame for motion transfer. A model that is 2.4 times cheaper per image lowers the fixed cost of every video, which matters because that cost is paid before a single second is rendered.
Faces
Nano Banana models accept photographs of real people, and 2.1 does too. That makes consent the working constraint: use your own face or someone who agreed, and do not generate a real person doing something they did not do. The model also has safety layers of its own and will decline some requests; the tolerance setting changes how strict it is within limits.
Quality: what we can and cannot say
We have not run a controlled comparison of 2.1 against 2 or Pro on our own references, so claims about sharper hands or better likeness are Google's, not ours. A sound test costs about 20 cents: take one of your reference sets, run the same instruction through 2, 2.1 and Pro at 1K, and compare faces side by side at full screen. If 2.1 matches Pro on your references, you have saved a lot per image.
Migration notes
- If your code calls the Nano Banana 2 endpoint, move to the 2.1 endpoint and recheck the price on your own invoice.
- Keep Pro for hard edits: reconciling two different lighting conditions, complex multi-subject scenes, anything where cheaper models keep producing confused anatomy.
- If the older endpoint is switched off on 29 October as one source reports, a pinned integration will fail then; do not rely on it.
Other image editors
For cheap batches see Seedream 5.0 and FLUX.3 Klein; for covers and text-heavy images see GPT Image 2.5.
Common questions
Is Nano Banana 2.1 cheaper than 2?
At 1K about $0.034 against $0.08, so roughly 2.4 times cheaper, using Google's published rate.
Why does fal show $1 per unit?
It is a placeholder for a token-billed model. Use Google's per-image rates and confirm on your own invoice.
How many references does it accept?
Up to 14 images per edit.
When should I still use Pro?
For hard edits such as reconciling two lighting conditions or complex multi-subject scenes. Pro stays at $0.15 per image.
Will the old endpoint disappear?
One source says Nano Banana 2 is switched off on 29 October 2026. Do not rely on it.
How to do this without code: Your reference images are built from one photo in the product, and avatar creation is free. In AutoHustle this is the Me in scene tool: a few photos of you and one sentence describing the scene (about 2 credits per second, quoted before you press Generate). See How to put yourself in any scene and Put yourself in a movie scene.
Related reading: AI Video Models on fal in October 2026: What Is New, What It Costs, and What Is Gone · HappyHorse 1.1 Reference-to-Video: How Many Photos You Really Need and What It Costs (October 2026)
For developers: the fal endpoints
| Model | fal endpoint |
|---|---|
| Nano Banana 2.1 edit | google/nano-banana-2.1/edit |
| Nano Banana 2.1 (generate) | google/nano-banana-2.1 |
| Nano Banana 2 edit (superseded) | fal-ai/nano-banana-2/edit |
| Nano Banana Pro edit | fal-ai/nano-banana-pro/edit |
Prices: 2.1 at Google's published $0.0336 / $0.0504 / $0.113 per image (1K / 2K / 4K); fal shows a placeholder. Up to 14 references. Read on 18 October 2026.