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Nano Banana 2.1 is Google’s Gemini image-generation and conversational-editing model. You can use it in the Gemini app or through the Gemini API, but those routes have different eligibility rules, limits, resolution controls, and billing. The app uses plan-based access with higher limits on paid plans; the API bills by tokens and publishes equivalent prices for 1K, 2K, and 4K images.

What is Nano Banana 2.1?

Nano Banana 2.1 is the stable model label for Google’s Gemini image model. It can create images from text, edit supplied images through a conversation, and combine image-making with Gemini’s reasoning (“thinking”) process. The API accepts text, images, video, and PDF files as inputs and can return image and text outputs. Its documented context limit is 131,072 tokens, with an output limit of 32,768 tokens.

Image generation, search grounding, and thinking are listed as supported capabilities. Thinking can be set to minimal, medium (the default), or high. Audio generation and audio input for image generation are not supported. The model page also lists function calling, structured outputs, and URL context as unsupported, so an integration that depends on those features needs a different model or an additional application layer.

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Google’s image-generation guide says the model can preserve the likeness of up to four characters and maintain fidelity for up to ten objects in a workflow. Those are workflow guidance limits, not a guarantee that every prompt will reproduce all people or objects perfectly.

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How do I access Nano Banana 2.1 in Gemini Apps?

Use the image-creation tool

  1. Open the Gemini app or its web experience in a country and language where the feature is available.
  2. Open the tools menu and choose “🍌Create images”, the label used in Google’s help instructions.
  3. Enter a text prompt, or upload an image and describe the edit you want.
  4. Review the result and continue the conversation if you need changes. Conversational follow-up is the practical advantage of using the app rather than making isolated one-shot generations.

Feature availability follows Gemini’s supported-country and supported-language rules. A tool that is missing from your account can therefore reflect regional or language availability rather than a prompt problem. Google’s help page is the authoritative place to check your location and language.

Google’s current product overview names Google AI Pro, Google AI Plus, and Google AI Ultra as plans with access to Nano Banana 2.1 and higher image-generation limits. The overview does not publish a stable, plan-by-plan numeric quota. Limits can also vary by account, region, demand, and product changes, so treat any number quoted elsewhere as potentially stale unless it appears on a current official plan or help page.

Download resolution in the app

Google’s help information describes an app-level rule in which users can download at 1K resolution without an AI plan and at 2K resolution with a Google AI plan. This statement applies to the Gemini app experience; it is not the complete API resolution matrix. The product overview also describes a “Redo with Pro” option that lets eligible users regenerate an image with Nano Banana Pro, a separate model option.

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How does API access differ?

API integrations call the model by the ID gemini-nano-banana-2.1. The API is the route to choose when your application needs programmatic prompting, uploaded files, repeatable processing, or its own user interface. It is not governed by the Gemini app’s subscription quota: API usage is metered under the published token-pricing system.

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The documented API inputs are text, image, video, and PDF. Outputs can contain an image and text, which is useful when an application needs both the generated asset and an explanation or metadata response. The guide warns that the requested number of image outputs is not always followed exactly. Code that requires a precise count should inspect the response and retry or queue work when fewer images are returned.

Search grounding is supported, but it has an important limitation: for this model, search grounding cannot supply real-world images of people sourced from web search. If a prompt needs a particular person, provide an appropriate reference image instead of assuming image search will return a usable likeness.

Google recommends a set of languages for best performance. That recommendation is about quality guidance, not a universal statement that other languages cannot be used. Check the live model documentation when language quality is a deciding factor.

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What are the image-generation limits?

Gemini app limits

The official product information establishes only the direction of the difference: paid plans have higher image-generation limits than the non-paid experience. The pages reviewed do not establish a durable numeric daily allowance for each plan. Do not plan a production workflow around an unofficial “images per day” number. Instead, check the limit indicator in your Gemini account and the current plan documentation immediately before a large batch.

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API model limits

  • Input context: up to 131,072 tokens.
  • Output: up to 32,768 tokens, including generated text and thinking output where applicable.
  • Resolution tiers: 1K, 2K, and 4K. The model does not support the 512-pixel (0.5K) tier added for Gemini 3.1 Flash Image.
  • Image count: a requested number of images is not guaranteed to be returned exactly.
  • Modalities: text, image, video, and PDF inputs; image and text outputs. Audio is not supported for image generation.
  • Feature availability: image generation, search grounding, and thinking are supported; audio generation, function calling, structured outputs, and URL context are not listed as supported by the model page.

These limits are independent of the app’s subscription allowance. A Gemini app plan does not turn API calls into an unlimited service, and API billing does not guarantee a particular number of app generations.

How much does Nano Banana 2.1 cost?

The following figures are the standard paid rates shown on Google’s Gemini API pricing page when checked on October 13, 2026. Prices are volatile, and the page does not show a free-tier price for this model. The equivalent image amounts are derived from the page’s image-token rate and are not app-subscription prices.

API billing item Listed rate What it means
Input tokens (text, image, video) $1.50 per 1 million tokens Applies to input content sent to the model.
Output text and thinking tokens $7.50 per 1 million tokens Charges generated text and thinking tokens.
Image output tokens $30.00 per 1 million tokens Applies to generated image output tokens.
Equivalent 1K image $0.0336 Published equivalent for one 1K image.
Equivalent 2K image $0.0504 Published equivalent for one 2K image.
Equivalent 4K image $0.113 Published equivalent for one 4K image.
Gemini 3+ web/image grounding 5,000 requests per month shared free, then $14 per 1,000 requests A separate grounding charge area on the pricing page; it is not an automatic fee on every image generation.

For budgeting, separate three costs: the prompt and reference files you send, the image and text the model returns, and any grounding requests your application makes. A 4K output costs more than a 2K output because it uses more image output tokens. Repeated conversational edits can also add input and output usage on each turn.

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What image sizes does Nano Banana 2.1 support?

“1K,” “2K,” and “4K” describe resolution tiers, not one universal width and height. The actual pixel dimensions depend on the requested aspect ratio. Google’s image-generation guide gives these dimensions:

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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 same guide also lists 1:4, 4:1, 4:5, and 5:4 ratios. The supplied specification does not state their pixel dimensions here, so consult the live table when an exact production canvas is required. Do not substitute the 0.5K size available on another Gemini image model: Nano Banana 2.1 supports 1K, 2K, and 4K tiers instead.

Choosing a tier and ratio

  • 1K: a lower-cost choice for drafts, social previews, and rapid iteration.
  • 2K: a middle tier when you need more detail without the largest output and price.
  • 4K: the highest listed tier for large layouts or substantial cropping, with the highest equivalent image price.
  • Aspect ratio: choose the final destination first. A 9:16 request suits a phone-oriented composition, while 16:9 suits a wide presentation or video frame; changing the ratio later can require another generation.

Gemini app or API: which route fits?

Decision point Gemini app Gemini API
Eligibility Depends on supported country, language, account, and plan; Google AI Pro, Plus, and Ultra are named as plans with access. Uses API access and project billing rather than an app-plan quota.
Quota model Plan-based limits; current numeric Nano Banana 2.1 quotas are not stably published. Token metering with published equivalent prices by resolution.
Resolution information Help information describes 1K downloads without an AI plan and 2K with a Google AI plan. 1K, 2K, and 4K output tiers with aspect-ratio-specific dimensions.
Workflow Prompt, upload, edit, and iterate conversationally in the product interface. Automate prompts and file inputs, inspect responses, and implement retries or queues yourself.
Grounding Controlled by the app’s available tools and settings. Search grounding is supported; grounding requests are billed separately under the pricing page’s stated allowance and rate.
Operational caveat Availability and limits can change with account and region. The requested image count may not be returned exactly, and unsupported API features must be handled in application code.
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How to get more reliable results

Specify the canvas before the subject

State the intended aspect ratio and resolution tier in the request, then describe the subject, composition, lighting, and text placement. This reduces the chance that a wide banner is composed like a square illustration. If the image will be cropped later, request the ratio that leaves the required safe area around the subject.

Use reference images for edits and continuity

Upload the source image when asking for an edit and describe what must remain unchanged, such as pose, camera angle, logo placement, or background geometry. For multi-character scenes, identify each person clearly; the guide’s four-character resemblance guidance is a ceiling for a workflow, not a promise of exact identity.

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Plan for imperfect output counts

When an application asks for several variants, read the returned parts rather than assuming the requested count arrived. Save each returned image, record the prompt and settings, and retry only the missing variants. This is especially important in batch jobs where a silent shortfall can otherwise look like a successful run.

Use grounding selectively

Search grounding can help with current factual context, but it is not a substitute for supplying a reference photograph of a real person, and grounding requests can incur their own charge after the shared monthly allowance. Enable it only when current web information materially improves the image or accompanying response.

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Common problems and fixes

The Create images tool is missing

  • Check whether your country and language are supported for Gemini Apps.
  • Confirm that you are signed into the intended account and that the app has updated its available tools.
  • Review the current plan and help pages; a paid plan raises limits but does not override regional availability.

The image is the wrong size

Verify both settings: the resolution tier and the aspect ratio. “4K” alone does not mean 4096×4096; for example, the 4K 16:9 output is 5504×3072, while the 4K 9:16 output is 3072×5504. In the app, also distinguish the downloadable 1K/2K guidance from the API’s full 4K table.

The API costs more than expected

Check whether the request generated 4K imagery, included large reference files, used multiple conversational turns, or made search-grounding requests. Input tokens, output text and thinking tokens, image output tokens, and grounding are separate billing components.

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Fewer images were returned than requested

Treat the response as variable-length output. Count the images received, persist them, and retry the missing work with an application-level limit and logging. Do not assume that increasing the requested count guarantees a matching response.

Official documentation

Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.