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Image Generation Model

Gemini 2.5 Flash Image

Gemini 2.5 Flash Image is an image generation model from Google built on the Gemini 2.5 Flash architecture.

PublisherGoogle
TypeImage
Context Window1,048,576 tokens
ReleasedAugust 2025
Price$0.039/image
BANANA

Image generation from Google's Gemini 2.5 Flash

Gemini 2.5 Flash Image is an image generation model developed by Google, released in August 2025 as part of the Gemini 2.5 Flash family. It accepts image URL arrays as input, enabling workflows that involve referencing or transforming existing images, and produces generated image outputs with a maximum response size of 32,768 tokens. The model carries a context window of 1,048,576 tokens, which is notably large for an image generation model and allows it to process substantial accompanying context alongside image inputs.

This model is suited for tasks that require generating images within pipelines that can supply source images as references, such as image editing, style transfer, or image-conditioned generation. It is available on MindStudio without requiring separate API key management, making it accessible for developers building AI applications. As a first-party Google model, it is served directly through Google's infrastructure and listed as available in the MindStudio catalog as of August 2025.

What Gemini 2.5 Flash Image supports

Image Generation

Generates images as the primary output modality, with a maximum response size of 32,768 tokens per request.

Source Image Input

Accepts arrays of image URLs as input, enabling image-conditioned generation workflows such as reference-based or style-guided image creation.

Large Context Window

Supports a context window of 1,048,576 tokens, allowing extensive textual or structured context to accompany image generation requests.

First-Party Google Serving

Delivered directly through Google's infrastructure as a first-party provider, with no third-party intermediary in the serving pipeline.

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Common questions about Gemini 2.5 Flash Image

What is the context window size for Gemini 2.5 Flash Image?

Gemini 2.5 Flash Image has a context window of 1,048,576 tokens, which allows large amounts of context to be included alongside image generation requests.

What input types does Gemini 2.5 Flash Image accept?

The model accepts image URL arrays as input, labeled as 'Source Images', making it suitable for image-conditioned or reference-based generation workflows.

What is the maximum response size for this model?

The maximum response size is 32,768 tokens per request.

When was Gemini 2.5 Flash Image released?

Gemini 2.5 Flash Image was released in August 2025 and became available on MindStudio on August 30, 2025.

Is pricing information available for Gemini 2.5 Flash Image?

Pricing details are not published in the current MindStudio catalog metadata for this model. Check Google's official pricing pages or MindStudio's billing documentation for the latest information.

Who publishes Gemini 2.5 Flash Image?

Gemini 2.5 Flash Image is published by Google and served as a first-party model, meaning Google directly provides the model infrastructure.

What people think about Gemini 2.5 Flash Image

Community reception on Reddit has been generally positive, with users highlighting the model's ability to perform high-level image edits from natural language instructions and noting its internal nickname "nano-banana" as an officially acknowledged designation by Google. The multi-image editing capabilities in particular drew attention, with one thread accumulating 465 upvotes focused on impressive editing demonstrations.

Some community discussion reflects the competitive landscape, with a later thread noting that a competing model claimed the top spot on lmarena.ai evaluations after the model's release. Users appear to follow the model primarily in the context of image editing benchmarks and creative tool development.

View more discussions →

Parameters & options

Max Temperature2
Max Response Size32,768 tokens
Source ImagesImage URL Array

If you want to edit an existing image, provide the URL(s) or variables

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