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What is Nano Banana 2.1?

Nano Banana 2.1 is a Google AI model for high-efficiency image generation, conversational image editing, and multimodal visual workflows. Released on October 6, 2026, it replaces Nano Banana 2 as Google's recommended model for new projects requiring a balance of image quality, speed, and cost efficiency. The model retains Flash-level performance while improving visual quality, rendered text, and consistency across successive image-editing turns. It supports text-to-image generation and conversational editing, allowing users to create visuals and then refine them through additional natural-language instructions. Images can be generated at 1K, 2K, or 4K resolution across numerous aspect ratios, including square, portrait, landscape, ultrawide, and unusually tall or wide formats. Advanced text rendering helps the model produce legible and stylized typography for applications such as diagrams, menus, infographics, advertising, and other marketing materials. Nano Banana 2.1 supports multi-reference generation with character resemblance for up to four people and high-fidelity representation of up to 10 referenced objects in a workflow. Its Google Search grounding capabilities can retrieve current information from the web, while Google Image Search grounding can provide additional visual references for generating factually or visually grounded images. The model also accepts video as multimodal context, analyzing frames and key events to create new images such as video thumbnails, cinematic posters, summary graphics, and artwork inspired by video content. Google describes Nano Banana 2.1 as the primary high-efficiency workhorse in its current image model lineup, while Nano Banana Pro remains positioned for more complex professional workflows requiring maximum world knowledge, localization, brand consistency, and creative control.

What is GPT-Image-2.5 Sunburst?

Sunburst, part of the GPT-Image-2.5 series, is an adaptable model for creating and editing images, accessible through the OpenAI API. Developers can input both text prompts and images to either generate new visuals or alter current ones, with quality settings that vary from basic to high-end. This model is particularly suited for projects that demand precise modifications, such as promotional materials and top-tier product imagery. Users can access it through the Images API for seamless image generation and editing, or implement it as the visual creation element in the Responses API. Teams have the option to embed it into their products, creative applications, and automated visual workflows. Billing is structured around token usage, with separate rates for text and image inputs as well as the generated outputs; additionally, more economical rates are offered for batch processing and reused inputs. Utilizing this model allows developers to elevate their creative initiatives with high-quality visual content that meets their unique specifications, thereby enriching the overall user experience. Moreover, the flexibility of integration means that it can adapt to various industries and creative needs, making it a valuable tool for innovation.

Media

Media

Integrations Supported

Adobe Firefly
Flova AI
Loova AI
OpenClaw
PixPretty
VioEvo
Vizai Render
Adobe Express
FigEditor
Gemini
Gemini 3 Flash
Gemini 3 Pro
Gemini 3.1 Flash Image
Gemini Enterprise
Gemini Live API
Gemini Notebook
Google Photos
Google Workspace
Mixboard
SnapVee Studio

Integrations Supported

Adobe Firefly
Flova AI
Loova AI
OpenClaw
PixPretty
VioEvo
Vizai Render

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$5/1M text input tokens
Standard rates: $5 per 1 million text input tokens, $8 per 1 million image input tokens, and $30 per 1 million image output tokens. Cached input is priced separately. Batch processing has lower rates; charges depend on token usage and the type of input or output.

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

gemini.google/overview/image-generation/

Company Facts

Organization Name

OpenAI

Date Founded

2015

Company Location

United States

Company Website

developers.openai.com/api/docs/models/gpt-image-2.5-sunburst

Categories and Features

AI Image Generators

Not specified

AI Image Models

Not specified

AI Models

Not specified

Categories and Features

AI Image Models

Not specified

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