Google made Nano Banana 2.1 generally available in the Gemini API on 6 October 2026. The new model, gemini-nano-banana-2.1, updates the image-generation and conversational-editing workflow previously served by Nano Banana 2. Google’s release notes also deprecate gemini-3.1-flash-image, with no shutdown date announced.
For image-heavy software and content workflows, the immediate decisions are whether to migrate and how the new request costs compare. The official pricing does not support a blanket claim that every request, or every resolution, now costs half as much. This report explains the rates, the migration boundary and a practical evaluation sequence.
News reporting cutoff: 7 October 2026, 18:02 Asia/Karachi (13:02 UTC). Documentation and prices checked on 7 October. Cover artwork is an editorial illustration created separately; it is not a Nano Banana 2.1 test output.
What Google says improved
The official model page describes improvements in prompt adherence, character consistency across edits, text rendering and wide or panoramic output. It lists 1K, 2K and 4K output sizes, with 1K as the default. These are provider-described capabilities; AIX Radar has not measured their quality against competing image models.
The useful consequence is task-specific. A product poster needs accurate wording and a clear layout. A sequence of promotional images may need a stable character or object across changes. A panoramic banner has a different failure mode from a square thumbnail. Keep those tasks separate when evaluating whether an upgrade helps.
Official API prices: the 4K figure matters
The following image-output equivalents come from Google’s Gemini Developer API pricing page, checked on 7 October 2026. They are US dollar API charges for the image-output component, not Gemini app subscription prices or complete request totals.
| Resolution | Nano Banana 2.1 Standard | Nano Banana 2.1 Batch | Previous Nano Banana 2 Standard |
|---|---|---|---|
| 1K | $0.0336 | $0.0168 | $0.067 |
| 2K | $0.0504 | $0.0252 | $0.101 |
| 4K | $0.113 | $0.0567 | $0.151 |
At the displayed Standard equivalents, the image-output component is approximately half the previous rate at 1K and 2K. At 4K, the displayed reduction is about 25%, not 50%. Some launch coverage lists a different 4K figure; this article uses Google’s current official $0.113 equivalent.
Google lists Standard input at $1.50 per million tokens and text/thinking output at $7.50 per million tokens for 2.1. The published API free tier is unavailable for this model. Check the page’s current grounding allowance and charges if your application uses search; the per-image number does not include everything a request may bill.
A cost example that includes the comparison boundary
Suppose a hypothetical project produces 500 images at 2K using Standard processing. At the listed 2.1 image-output equivalent, that component would cost $25.20. The previous model’s displayed $0.101 equivalent gives $50.50 for the same image count. The difference is $25.30 for image output alone.
That example does not establish a $25.30 saving on the entire project. Longer prompts, reference images, thinking output, search, retries and rejected results can change the total. The new Standard input rate is also different from the previous model’s rate, so a reference-heavy editing workflow needs its own calculation.
Track both attempted generations and accepted images. If ten outputs produce only two usable assets, the cost per usable asset is more informative than the price per attempt. Human correction time also matters: cheaper generation can become an expensive workflow if someone must repair every headline, logo or product detail.
Deprecation is a migration notice, not an immediate shutdown
The official deprecation table recommends Nano Banana 2.1 as the replacement for gemini-3.1-flash-image and lists no shutdown date for that older endpoint. The release notes establish the deprecation announcement. Do not invent a deadline or describe the old model as already unavailable.
A controlled migration can begin before a shutdown date is published. Keep the old configuration recorded, test the new identifier in a separate environment, and check the actual settings your integration uses. Model names, defaults and supported options should be verified rather than carried over merely because both products share the Nano Banana label.
Check application behavior when a request fails or times out. A retry policy that silently requests a more expensive output size can undermine the budget. Show a recoverable failure to the user, preserve their input and log enough non-sensitive information to diagnose the problem.
An evaluation sequence for real creative work
- Use a fixed brief set. Include the tasks you actually publish: a square card, a wide banner, a product image edit and a poster with a short line of exact text. Keep the same brief and reference material for each model.
- Check text character by character. Review spelling, punctuation, numbers and unwanted extra text at the final display size. A plausible-looking headline is not enough.
- Separate generation from editing. Record the initial image, each requested change and whether earlier details remain intact. Judge the final sequence as well as individual frames.
- Inspect brand and product fidelity. Check logos, colors, proportions and any details that could misrepresent the product. A generated illustration should not be presented as a real product screenshot.
- Record quality and cost together. Save settings, resolution, elapsed time, billed usage, retries and a reviewer-approved acceptance result. Keep the sample size visible when reporting results.
- Check the exported website asset. Resize and compress for its real use, supply appropriate alt text, and inspect the thumbnail and wide crop. A good source image can still become an unreadable card.
This is a proposed test plan, not a completed AIX Radar comparison. It gives a future review a reproducible sequence without turning launch claims or customer opinions into fabricated testing notes.
Should an existing image workflow switch now?
The GA release and deprecation notice make a limited migration evaluation sensible. Prioritize workflows where the claimed changes address an existing problem, such as inaccurate short text or inconsistent edits. Keep successful older outputs and the current production route available while the new route is checked.
Decide using accepted assets, full request costs and the effort required to publish them. Nano Banana 2.1 is a confirmed API release with lower listed image-output costs at the shown resolutions. Its value for a particular team still needs to be demonstrated on that team’s actual briefs.
