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Description
GPT-Image-2.5 Sunburst is a versatile image creation and editing model offered via the OpenAI API. Developers have the capability to provide text prompts and image submissions to produce new images or modify existing ones, with options for quality settings that range from low to premium. This model is designed for tasks that require meticulous adjustments, such as marketing campaigns and high-quality product visuals. It can be accessed through the Images API for straightforward image generation and editing, or utilized as the image creation component within the Responses API. Teams have the flexibility to integrate it into their products, creative tools, and automated visual processes. The billing for usage is based on token consumption, with distinct rates for text input, image input, and the output of generated images; additionally, lower rates are available for batch processing and cached inputs. By leveraging this model, developers can enhance their creative projects with sophisticated visual content tailored to their specific needs.
Description
Nano Banana 2.1 is Google's updated high-efficiency model for AI image generation, image editing, and conversational visual creation. It succeeds Nano Banana 2 as Google's recommended high-efficiency image model while retaining Flash-level speed and cost efficiency. The model improves visual quality, text rendering, and consistency during multi-turn editing, making it suitable for workflows where users repeatedly modify an image through natural-language instructions. Nano Banana 2.1 generates images at 1K, 2K, and 4K resolutions and supports conventional portrait and landscape formats as well as extreme aspect ratios such as 1:8 and 8:1. Its text-rendering capabilities are designed for visuals containing legible and stylized writing, including infographics, diagrams, menus, and marketing assets. Multi-reference workflows support character resemblance for up to four characters and high-fidelity inclusion of as many as 10 referenced objects. Google Search grounding enables the model to verify information and create imagery based on current web information, while Google Image Search grounding can retrieve images from the web as additional visual context. Nano Banana 2.1 can also analyze video input and use its frames, visual themes, and events as context for generating new images such as thumbnails, posters, infographics, and related artwork. Developers can access the model through the Gemini API as gemini-nano-banana-2.1, and images generated by the model include Google's SynthID watermark.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Adobe Firefly
Yes
Flova AI
Yes
Loova AI
Yes
OpenClaw
Yes
PixPretty
Yes
VioEvo
Yes
Vizai Render
Yes
ChatGPT Work
Yes
Crafiq
No
Dreambeans
No
Integrations
Adobe Firefly
Yes
Flova AI
Yes
Loova AI
Yes
OpenClaw
Yes
PixPretty
Yes
VioEvo
Yes
Vizai Render
Yes
ChatGPT Work
No
Crafiq
Yes
Dreambeans
Yes
Pricing Details
$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.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
OpenAI
Founded
2015
Country
United States
Website
developers.openai.com/api/docs/models/gpt-image-2.5-sunburst
Vendor Details
Company Name
Founded
1998
Country
United States
Website
gemini.google/overview/image-generation/