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1Fix the driver behind crashes, sound loss and screen glitches2Repair Windows errors before they cause bigger problems3Scan for outdated or missing drivers - takes under a minuteShort answer: Nano Banana 2.1 is Google’s Gemini image-generation and conversational-editing model. You can use it in the Gemini app (where access, country support, plan eligibility, and changing usage limits apply) or through the Gemini API (where billing is token-based and the published image equivalents are $0.0336 for 1K, $0.0504 for 2K, and $0.113 for 4K). Its API supports several aspect ratios at 1K, 2K, and 4K, but there is no single universal width and height.
What Nano Banana 2.1 is
Nano Banana 2.1 is Google’s current Gemini model for generating images and editing images through conversation. The stable model ID is gemini-nano-banana-2.1. It accepts text, images, video, and PDF files and can return images and text. Google lists image generation, search grounding, and thinking as supported capabilities. The model documentation specifies an input limit of 131,072 tokens and an output limit of 32,768 tokens. See Google’s Nano Banana 2.1 model documentation for the current specification.
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“Conversational editing” means you can provide an existing image and describe a change instead of starting over. A typical request might ask for a different background, a new crop, altered lighting, or an object to be removed while preserving the rest of the composition. The model can also combine text instructions with visual references in one workflow.
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Use it in the Gemini app
In Gemini, open the tools menu and choose the image-creation option. Google’s help documentation labels it “🍌Create images.” Enter a prompt to generate a new image, or upload an image and describe the edit you want. The exact controls can change as the app is updated.
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- Open Gemini in a supported country and language.
- Open the tools menu and select 🍌Create images.
- Type a generation prompt, or attach an image for an edit.
- Review the result and continue with a follow-up instruction if you need another revision.
- Download the finished image using the app’s download control.
Google’s Gemini image-generation overview currently names Google AI Pro, Google AI Plus, and Google AI Ultra as plans with access to Nano Banana 2.1 and higher generation limits. That statement does not establish one fixed number of images per day for each plan. Limits can vary by account, region, demand, and product changes.
Availability also depends on the Gemini app’s country and language coverage. Check Google’s Gemini Apps help page if the image tool is missing or your account cannot use it. The same help information says users can download at 1K without an AI plan or at 2K with a Google AI plan. Treat those as app-level download statements; they are not a complete description of API output options.
Google’s overview also describes a “Redo with Pro” option that can regenerate an image with Nano Banana Pro. That is a separate regeneration choice in the app, not a change to the Nano Banana 2.1 API model ID.
Use the Gemini API
The API is a separate route from the consumer app. You need a Google AI developer setup, an API key, and an application that sends requests to the model ID. API usage is metered according to input, output, and image tokens rather than the app’s plan-based quota system. The API route is the better fit when you need repeatable programmatic generation, server-side processing, or integration with an existing workflow.
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Keep the two access systems separate when planning a project:
| Decision point | Gemini app | Gemini API |
|---|---|---|
| Eligibility | Depends on supported country/language and account plan | Requires developer access and API billing setup |
| Usage control | Plan-linked limits that can change | Token and image-equivalent billing |
| Output selection | App controls and download options | Resolution and aspect-ratio parameters in an API workflow |
| Automation | Interactive, conversational use | Designed for application integration |
| Grounding | Depends on the app’s available tools | Supported when requested, with separate grounding charges |
What are the Nano Banana 2.1 image limits?
Gemini app quotas are not published as one stable number
Google says paid AI plans provide higher image-generation limits, but the official pages do not provide a stable, plan-by-plan daily quota for Nano Banana 2.1. Do not rely on a third-party claim such as “X images per day” unless it is confirmed in the current Gemini interface or an official plan page for your country and date. The app can display a temporary limit message when capacity is tight, and the allowance may reset or change without the model itself changing.
If you reach an app limit, wait for the reset shown by Gemini, reduce repeated regenerations, or check whether your account has the intended plan and regional access. Switching to the API does not convert an app quota into free use; the API has its own billing and rate controls.
API context, output, and workflow limits
- Input context: up to 131,072 tokens.
- Output context: up to 32,768 tokens, including generated text and thinking output where applicable.
- Thinking: minimal, medium (the default), and high levels are listed as supported.
- Requested image count: the image-generation guide cautions that the model may not return exactly the number of images requested. Code that requires a precise count should validate the response and retry or queue a follow-up request.
- Reference fidelity: Google’s guide describes character resemblance for up to four characters and fidelity for up to ten objects in a workflow. These are workflow guidance limits, not a guarantee that every composition will preserve every detail perfectly.
Audio inputs are not supported for image generation. The model page also lists audio generation, function calling, structured outputs, and URL context as unsupported. If your application depends on one of those features, you need a different model or an additional processing step.
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How much does Nano Banana 2.1 cost?
The Gemini API pricing page lists these standard paid rates for gemini-nano-banana-2.1. Google’s figures were checked on October 13, 2026; prices are volatile, so verify the live Gemini API pricing page before budgeting.
| Billing item | Listed rate | What it means |
|---|---|---|
| Input tokens (text, image, video) | $1.50 per 1 million tokens | Applies to input material sent to the model |
| Output text and thinking tokens | $7.50 per 1 million tokens | Applies to text and thinking output |
| Image output tokens | $30.00 per 1 million tokens | Image-generation output is billed separately from text output |
| Equivalent 1K image | $0.0336 | Published image-equivalent rate |
| Equivalent 2K image | $0.0504 | Published image-equivalent rate |
| Equivalent 4K image | $0.113 | Published image-equivalent rate |
| Gemini 3+ web/image grounding | 5,000 requests per month shared free, then $14 per 1,000 requests | A separate grounding charge; not every generation is a grounding request |
The pricing page shows no free-tier price for this model. Your actual request cost can include text, image, video, or PDF input tokens in addition to the image output equivalent. Grounding is an optional, separately metered service, so do not add its fee to every ordinary image request.
Estimating a batch
For a simple batch that produces only one image per request, the published image equivalents provide a quick estimate: 100 1K outputs would be about $3.36, 100 2K outputs about $5.04, and 100 4K outputs about $11.30 before input-token, output-text, thinking, or grounding charges. These are arithmetic projections from Google’s listed equivalents, not a guaranteed invoice total.
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What image sizes does Nano Banana 2.1 support?
The API uses resolution tiers and aspect ratios, so “1K” does not mean one fixed 1,000-pixel square. The following dimensions are listed in Google’s image-generation guide:
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| Aspect ratio | 1K | 2K | 4K |
|---|---|---|---|
| 1:1 | 1024×1024 | 2048×2048 | 4096×4096 |
| 16:9 | 1376×768 | 2752×1536 | 5504×3072 |
| 9:16 | 768×1376 | 1536×2752 | 3072×5504 |
| 3:2 | 1264×848 | 2528×1696 | 5056×3392 |
| 2:3 | 848×1264 | 1696×2528 | 3392×5056 |
| 4:3 | 1200×896 | 2400×1792 | 4800×3584 |
| 3:4 | 896×1200 | 1792×2400 | 3584×4800 |
| 1:8 | 384×3072 | 768×6144 | 1536×12288 |
| 8:1 | 3072×384 | 6144×768 | 12288×1536 |
The guide also lists 1:4, 4:1, 4:5, and 5:4 aspect ratios. Their exact pixel combinations should be taken from the live table when you implement them, because the published dimensions can change. Nano Banana 2.1 does not support the smaller 512-pixel (0.5K) resolution that was added for Gemini 3.1 Flash Image.
Choosing a tier
- 1K: useful for drafts, rapid iteration, thumbnails, and lower-cost batch generation.
- 2K: a practical middle option when you need more detail without the 4K image-equivalent price.
- 4K: appropriate when large dimensions and fine detail justify the higher output cost and larger files.
Aspect ratio should follow the final placement. Use 16:9 for a landscape video frame, 9:16 for a phone-first vertical asset, and 1:1 for a square tile. Requesting a wide ratio and cropping it later can remove important subjects or text; selecting the target ratio at generation time generally gives the model more room to compose correctly.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What can the model do, and what can’t it do?
Supported inputs and capabilities
- Text prompts for new images and edits.
- Image references for conversational editing.
- Video and PDF inputs, subject to the API’s token and file handling limits.
- Image generation plus text responses.
- Thinking at minimal, medium, or high levels.
- Search grounding when enabled in a supported workflow.
Google recommends particular languages for best performance. That recommendation concerns quality, not a universal rule that other languages are blocked. App availability still follows the country and language support shown by Google.
Important constraints
- Audio input is not supported for image generation.
- Audio generation, function calling, structured outputs, and URL context are listed as unsupported on the model page.
- The requested number of images may not be followed exactly.
- Search grounding does not support real-world images of people sourced from web search for this model.
For a reliable workflow, check the returned parts of each API response, confirm that an image was actually produced, and treat image count as a requested target rather than an absolute guarantee.
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App or API: which route should you choose?
Choose the Gemini app when
- You want to experiment with prompts and edits interactively.
- You do not need code, automated retries, or a production queue.
- Your priority is the simplest download workflow.
- Your account and country support the image tool.
Choose the API when
- You need repeatable generation inside software or a content pipeline.
- You want to select 1K, 2K, or 4K output and a specific aspect ratio programmatically.
- You need to forecast spend using token and image-equivalent rates.
- You need to process text, image, video, or PDF inputs in an integrated workflow.
Do not compare an app “number of images” directly with an API dollar estimate. The app allowance is a changing product limit, while the API price depends on the material sent and the output returned.
Troubleshooting common access and output problems
The image tool is missing in Gemini
Confirm that you are signed in to an account in a supported country and language, then review Google’s availability guidance. If the tool is available only on a particular plan in your region, the account must meet that plan requirement. Product interfaces can change, so use the current tool label shown by Gemini rather than an older menu name.
You hit a generation limit
Look for the reset time or limit message displayed by the app. Paid plans are described as having higher limits, but Google does not publish a permanent Nano Banana 2.1 quota table for every plan. Avoid repeated regenerations while troubleshooting, and verify the account plan before assuming the model is unavailable.
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The API result has the wrong size
Check both the requested resolution tier and aspect ratio, then compare the returned pixel dimensions with Google’s table. A “1K” request can be 1376×768 at 16:9 or 1024×1024 at 1:1. If your downstream system requires a fixed canvas, add an explicit resize or crop step after generation.
The API returns fewer images than requested
The image guide warns that the requested count is not always followed. Treat each response as variable: validate the number of image parts, save successful outputs, and issue a follow-up request only for missing items. Budget for those additional requests because each retry can create new input and image-output charges.
A grounded result includes an unsuitable person image
Search grounding for this model does not support real-world images of people sourced from web search. Use text descriptions or user-supplied reference images where permitted, and remove the unsupported grounding step from the request when the task requires a person depiction.
Bottom line
Nano Banana 2.1 is available through two different systems. The Gemini app is the easiest interactive option, with access and higher limits tied to Google AI plans and regional availability; its exact current quota is not established as a fixed public number. The API is predictable for software workflows but charges for tokens and image output, with published equivalents of $0.0336 at 1K, $0.0504 at 2K, and $0.113 at 4K. For API output, choose the aspect ratio and resolution tier deliberately: supported dimensions range from compact vertical and panoramic canvases to 4096×4096 at 4K square, with the complete live table maintained in Google’s image-generation documentation.
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