Rapid image iteration
Flash-oriented latency makes it practical to generate, evaluate, and refine several versions during an interactive creative session.
Independent tool overview
Nano Banana 2, officially Gemini 3.1 Flash Image, is Google's mainstream image generation and conversational editing model, combining fast output with 0.5K-to-4K resolution, strong text rendering, reference consistency, and web grounding.
Visit the official Nano Banana 2 site ↗
Overview
Nano Banana 2 is Google's product name for Gemini 3.1 Flash Image. It is the company's general-purpose image model for users and developers who want a stronger balance of quality, latency, and cost than the premium Nano Banana Pro model.
The model accepts text, images, and PDFs and can return images and text. It supports 512px, 1K, 2K, and 4K output, wide and tall aspect ratios, conversational editing, multilingual text rendering, subject consistency, and grounding with both Google Web Search and Image Search.
Google made Nano Banana 2 the default image model across several products, including Gemini and Flow, while retaining Nano Banana Pro as a specialized option for maximum fidelity and factual accuracy. Developers can use stable model code gemini-3.1-flash-image through the paid Gemini API.
Use cases
The strongest fit depends on the job you need the product to complete, not the size of its feature list.
Flash-oriented latency makes it practical to generate, evaluate, and refine several versions during an interactive creative session.
The lower per-image API price is designed for applications and pipelines that generate more assets than a premium model would economically support.
Improved multilingual rendering supports marketing mockups, cards, diagrams, posters, and localized image edits.
Use multiple reference assets for storyboards, campaigns, and compositions that need recurring people, characters, or products.
Capabilities
Nano Banana 2 is tuned for quick generation and multi-turn edits so users can refine an image through focused follow-up requests.
The API supports 0.5K, 1K, 2K, and 4K images, ranging from inexpensive previews to higher-resolution production assets.
Alongside common social and display formats, the model supports extreme 1:4, 4:1, 1:8, and 8:1 layouts.
The model can use current text and image search results to inform generation, subject details, diagrams, and factual visual content.
It can render legible copy inside images and translate or localize existing designs for supported languages.
Google says it can maintain the resemblance of up to five characters and the fidelity of up to 14 objects in one workflow.
Google combines embedded SynthID watermarking with a broader effort to attach interoperable C2PA Content Credentials.
Process
Step 1
Use Nano Banana 2 in an eligible Google product for interactive work or model code gemini-3.1-flash-image for an application.
Step 2
Define the subject, exact text, references, style, aspect ratio, and output resolution before generating.
Step 3
Use 0.5K or 1K for early concepts and reserve 2K or 4K output for selected versions that need extra resolution.
Step 4
Change one element at a time and restate any people, products, text, or layout that must remain consistent.
Step 5
Verify text, numbers, identities, products, source facts, rights, and platform requirements before publishing or automating distribution.
Cost
Nano Banana 2 is included in supported Google products under their own access rules and quotas; Google currently lists it as a zero-credit default for Flow users. The Gemini API has paid Standard and Batch rates with no listed free tier for this image model.
Included subject to product limits
Available across products including Gemini, Search, Flow, Ads, AI Studio, Antigravity, and Vertex AI, with availability and quotas varying by surface and plan.
$0.045 to $0.151 per image
On-demand pricing varies with the selected output resolution.
$0.022 to $0.076 per image
Lower-cost asynchronous pricing for workloads that can use the Batch API.
Pricing checked . Check current pricing at the source ↗
Assessment
Compare
The right alternative depends on the specific output, workflow, controls and budget your project requires.
Design
Choose Nano Banana Pro for Google's premium image model when maximum fidelity, factual accuracy, and creative control outweigh cost and speed.
Explore Nano Banana Pro →Design
Consider Ideogram for a dedicated design product with strong text-centric image generation and brand-oriented workflows.
Explore Ideogram →Content Creator
Consider ChatGPT Images for conversational generation and editing inside the broader ChatGPT assistant.
Explore ChatGPT Images →Questions
Nano Banana 2 is Google's Gemini 3.1 Flash Image model, designed for fast, cost-efficient image generation and conversational editing with output from 512px to 4K.
No. Nano Banana 2 is the faster, lower-cost general-purpose model. Nano Banana Pro remains Google's premium choice for the most complex, high-fidelity, and fact-sensitive visual tasks.
Standard API image prices range from $0.045 for 0.5K to $0.151 for 4K. Batch prices range from $0.022 to $0.076 per image, depending on resolution.
Yes. It supports 0.5K, 1K, 2K, and 4K output, plus common and extreme aspect ratios.
Yes. Google says it can maintain the resemblance of up to five characters and the fidelity of up to 14 objects in a workflow. Results still need visual review.
It supports grounding with both Google Web Search and Image Search. The Gemini API includes 5,000 shared Gemini 3.x search requests per month, then charges $14 per 1,000 requests.
Bottom line
Nano Banana 2 is the sensible default in Google's image family for most interactive and high-volume work. It delivers a strong mix of speed, resolution, reference consistency, and text rendering at less than Nano Banana Pro's API cost. Use Pro only when the extra fidelity and control justify it, and keep human review in the loop for every factual, branded, identity-sensitive, or text-heavy asset.
Visit Nano Banana 2 website ↗
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