Question 1

What is Nano Banana?

Accepted Answer

Nano Banana is Google's family of Gemini image-generation and editing models. It creates images from descriptions and supports changes guided by text and visual references.

Question 2

What is Nano Banana 2.1?

Accepted Answer

Nano Banana 2.1 is an October 2026 update to Nano Banana 2, with Google-reported improvements to visual quality, instruction following, text rendering, and consistency across edits. Its developer ID is gemini-nano-banana-2.1.

Question 3

Is Nano Banana free?

Accepted Answer

The Gemini app offers limited image generation without a subscription. Google's current consumer page says a Google AI plan unlocks Nano Banana 2.1. Model access and quotas depend on the account.

Question 4

Is the Nano Banana API free?

Accepted Answer

The image models covered here do not have a standard free Gemini API tier. API charges are separate from Gemini app access and subscriptions.

Question 5

Does only Nano Banana Pro support 4K?

Accepted Answer

No. Google's developer documentation also lists 4K output for Nano Banana 2 and Nano Banana 2.1. Download sizes available in the Gemini app may differ.

Question 6

How much does Nano Banana 2.1 cost through the API?

Accepted Answer

Standard image-output charges are $0.0336 at 1K, $0.0504 at 2K, and approximately $0.113 at 4K. Input, text or thinking output, and applicable grounding charges can add to the total.

Question 7

What is Nano Banana 2 Lite best for?

Accepted Answer

Lite is an option to evaluate for rapid visual drafts and simpler image workflows. Complex reference-based work and repeated detailed edits deserve comparison with more capable models.

Question 8

Can Nano Banana edit an existing image?

Accepted Answer

Yes. Upload a supported image and describe the required change. State what must remain unchanged, then inspect those areas after the edit.

Question 9

Can Nano Banana keep characters consistent?

Accepted Answer

References can help maintain a character's appearance, but consistency is not guaranteed. Compare each output with a master reference, especially after several edits.

Question 10

Can Nano Banana put readable text in images?

Accepted Answer

It can generate text within images. Put the wording in quotation marks and proofread the result; critical typography may still need a design editor.

Question 11

Does Nano Banana generate videos?

Accepted Answer

The models discussed here generate images. Their stills can serve as references for a separate video-generation workflow.

Question 12

Is Nano Banana better than Midjourney or ChatGPT Images?

Accepted Answer

There is no universal winner. Compare the same prompt, references, editing requirements, and output size, then judge usable results and the work needed to finish them.

Question 13

Which AI image generator is best for beginners?

Accepted Answer

ChatGPT is a practical starting point for conversational image creation and revisions. Try its limited free image access before deciding whether you need a dedicated generator.

Question 14

How much does Midjourney cost?

Accepted Answer

Midjourney lists monthly plans at $10, $30, $60 and $120. Annual plans cost less per month when paid upfront; Stealth mode requires Pro or Mega.

Question 15

Which AI image generator should I consider for text?

Accepted Answer

Belliste recommends Ideogram first for posters and graphics containing words, supported by TechRadar’s assessment. Proofread and check readability in every final export.

Question 16

Are free AI-generated images suitable for commercial projects?

Accepted Answer

It depends on the service and plan. Recraft explicitly says Free-plan images are not licensed for commercial use. Check the relevant terms and any third-party material in the output.

Question 17

Does unlimited generation mean unlimited fast images?

Accepted Answer

No. Midjourney separates Fast GPU time from Relax generation. Ideogram separates priority credits from slow credits, and some editing features require priority credits.

Question 18

How can I compare image quality fairly?

Accepted Answer

Use the same brief and aspect ratio, record models and settings, and assess prompt accuracy, revisions and usable results across several attempts.

Starting Price	Gemini app: Free · API: from $0.045 per 0.5K image
Free Plan	Gemini app: Available without Google AI plan · API: no free tier for Nano Banana 2
Usage Limits / Credits	Gemini app: plan/capacity-based limits · API Standard: $0.045 (0.5K), $0.067 (1K), $0.101 (2K), $0.151 (4K) per image

Primary Use Case	Image Generation & Conversational Editing
Best For	Creators / Marketing / Design / High-volume visual workflows
Platforms	Gemini app · Google AI Studio · Gemini API · Vertex AI / Google Cloud

Text-to-Image	Native text-to-image with Gemini 3.1 Flash reasoning and world knowledge
Image-to-Image	Conversational image-to-image editing with multi-reference support
Maximum Resolution	0.5K / 1K / 2K / 4K · 4K dimensions vary by aspect ratio (e.g. 4096×4096 at 1:1; 5504×3072 at 16:9)
Aspect Ratios	1:1 · 1:4 · 1:8 · 2:3 · 3:2 · 3:4 · 4:1 · 4:3 · 4:5 · 5:4 · 8:1 · 9:16 · 16:9 · 21:9
Batch Generation	Batch API available · image output pricing is 50% lower than Standard API

Image Editing	Conversational editing · local edits · multi-turn refinement
Inpainting	Local / targeted edits to selected image content
Outpainting	Prompt-driven scene extension and recomposition
Object Removal	Prompt-based local object removal and replacement
Background Removal	Prompt-based background editing/removal
Background Replacement	Conversational background replacement
Generative Fill	Local generative edits and content replacement
Upscaling	Native output sizes: 0.5K / 1K / 2K / 4K · no separate upscaler documented

Reference Images	Up to 14 references: up to 10 object images + up to 4 character images
Style Control	Natural-language style and visual-direction control
Character Consistency	Up to 4 character reference images for maintaining character consistency
Style Reference	Multi-image references can guide visual style and composition
Pose / Composition Control	Prompt + reference-image composition control
Seed Control	No public seed parameter documented for Gemini image generation

Google Nano Banana

About Google Nano Banana

Specifications

Pricing

Overview

Image Generation

Image Editing

Control & Consistency

Quality & Design

Models & Customization

Developer & Integration

Commercial & Business

Compare Google Nano Banana

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Reviews & Guides

Nano Banana Review 2026: Models, Pricing, Editing & Limitations

Photorealism	Excellent · improved lighting, detail and visual fidelity
Text Rendering	Excellent · multilingual text rendering and localization
Typography / Logo Generation	Strong text/typography rendering for marketing assets, diagrams and infographics
Vector Generation	Raster image output · no native SVG/vector output documented
Transparent Background	Not documented as a dedicated output mode

Available Models	Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) · Nano Banana 2 (Gemini 3.1 Flash Image) · Nano Banana Pro (Gemini 3 Pro Image) · legacy Nano Banana (Gemini 2.5 Flash Image)
Model Selection	Nano Banana 2 recommended as the general-purpose model · model selectable in Gemini API / AI Studio
Custom Models	No user-trained custom base image models documented
Model Training	No end-user image model training · reference-driven consistency instead

API Access	Gemini API · model ID: gemini-3.1-flash-image
Integrations	Gemini app · Google AI Studio · Gemini API · Vertex AI
Automation Support	Gemini API · Batch API

Commercial Use	Available for production via paid Gemini API; use subject to Google terms and policies
Team Plan	Google Workspace / Gemini business access varies by Workspace plan
Enterprise Plan	Google Cloud / Vertex AI enterprise deployment available for Gemini models