Image Generation
Generates images from natural language text prompts, drawing on Gemini's world knowledge to produce contextually accurate visual outputs.
Google
Gemini 2.5 Flash Image
Gemini 2.5 Flash Image is Google's image generation and editing model, launched in August 2025 via the Gemini API, Google AI Studio, and Vertex AI. It is internally nicknamed "nano-banana" and builds on the native image generation capabilities introduced in Gemini 2.0 Flash. The model accepts arrays of image URLs as input, enabling workflows that involve multiple source images in a single request. It supports a context window of 1,048,576 tokens, allowing for richly detailed prompts alongside image inputs. The model is designed for use cases that require combining natural language instructions with visual content, including targeted image editing, multi-image blending, and maintaining consistent characters across a series of images. It integrates Gemini's broad world knowledge into the generation process, which helps produce contextually accurate visual outputs from descriptive text prompts. Developers and enterprises building creative tools, storytelling applications, or product visualization pipelines are the primary intended audience. It is accessible through both the Gemini API and Vertex AI, making it available for consumer and enterprise deployments.
Oct 07, 2025
1,048,576 context
32,768 tokens output
Image Generation
Natural Language Editing
Multi-Image Blending
Character Consistency
Large Context Window
World Knowledge Integration
Model Overview
High-signal model metadata in a structured two-column overview table.
Provider
The entity that provides this model.
Google
Model ID
The routed model identifier exposed by upstream providers.
google/gemini-2.5-flash-image
Input Context Window
The number of tokens supported by the input context window.
1,048,576
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
32,768 tokens
tokens
Open Source
Whether the model's code is available for public use.
No
Release Date
When the model was first released.
Oct 07, 2025
8 months ago
Knowledge Cut-off Date
When the model's knowledge was last updated.
2025-01-31
API Providers
The providers that offer this model. This is not an exhaustive list.
Google, Vertex AI, Gemini API, Google AI Studio
Modalities
Types of data this model can process.
Text
Image
What is Gemini 2.5 Flash Image
A fuller summary of positioning, capabilities, and source-specific details for Gemini 2.5 Flash Image.
Gemini 2.5 Flash Image is Google's image generation and editing model, launched in August 2025 via the Gemini API, Google AI Studio, and Vertex AI. It is internally nicknamed "nano-banana" and builds on the native image generation capabilities introduced in Gemini 2.0 Flash. The model accepts arrays of image URLs as input, enabling workflows that involve multiple source images in a single request. It supports a context window of 1,048,576 tokens, allowing for richly detailed prompts alongside image inputs.
The model is designed for use cases that require combining natural language instructions with visual content, including targeted image editing, multi-image blending, and maintaining consistent characters across a series of images. It integrates Gemini's broad world knowledge into the generation process, which helps produce contextually accurate visual outputs from descriptive text prompts. Developers and enterprises building creative tools, storytelling applications, or product visualization pipelines are the primary intended audience. It is accessible through both the Gemini API and Vertex AI, making it available for consumer and enterprise deployments.
Capabilities
What Gemini 2.5 Flash Image supports
Natural Language Editing
Applies targeted transformations to existing images using plain text instructions, enabling precise edits without manual masking or selection tools.
Multi-Image Blending
Accepts arrays of image URLs as input and combines multiple source images into a single cohesive output in one request.
Character Consistency
Maintains consistent visual representations of characters across multiple generated images, supporting sequential storytelling and narrative workflows.
Large Context Window
Supports a context window of 1,048,576 tokens, allowing detailed prompts, instructions, and multiple image references to be included in a single request.
World Knowledge Integration
Leverages Gemini's language understanding to ground image generation in factual and contextual knowledge, improving accuracy for real-world subjects and scenes.
Pricing for Gemini 2.5 Flash Image
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Input tokens
$0.30
Per million tokens
Output tokens
$2.50
Per million tokens
Price Comparison
Additional usage-cost dimensions synced into the project for this model.
Image input
$0.30
Audio input
$1.00
Web search
$14000.00
Reasoning
$2.50
Cache read
$0.03
Cache write
$0.08
maxTemperature
2
maxResponseSize
32,768 tokens
API Access & Providers
Places where this model is available, based on the synced detail-page metadata.
Google
Vertex AI
Gemini API
Google AI Studio
Provider Endpoints
Endpoint-level provider data currently available for this model.
Google AI Studio
Configuration & Parameters
The configurable options currently documented for this model.
Source Images
Image URL ArrayIf you want to edit an existing image, provide the URL(s) or variables
Supported Request Parameters
Parameters currently listed by OpenRouter or the local catalog for this model.
Resources & Documentation
Official model cards, release notes, docs, and other references synced from the source page.
Compare Gemini 2.5 Flash Image with related models
Jump straight into the most relevant side-by-side comparison pages for this model.
Gemini 1.0 Pro Vision Deprecated vs Gemini 2.5 Flash Image
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Gemini 1.0 Pro Deprecated vs Gemini 2.5 Flash Image
Compare Gemini 1.0 Pro Deprecated and Gemini 2.5 Flash Image across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Gemini 3 Pro Image vs Gemini 2.5 Flash Image
Compare Gemini 3 Pro Image and Gemini 2.5 Flash Image across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for reasoning-heavy tasks versus long-context workloads.
Gemini 3 Deprecated vs Gemini 2.5 Flash Image
Compare Gemini 3 Deprecated and Gemini 2.5 Flash Image across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Gemini 3 Flash vs Gemini 2.5 Flash Image
Compare Gemini 3 Flash and Gemini 2.5 Flash Image across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Gemini 3.5 Flash vs Gemini 2.5 Flash Image
Compare Gemini 3.5 Flash and Gemini 2.5 Flash Image across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for reasoning-heavy tasks versus long-context workloads.
Community discussion
What people think about Gemini 2.5 Flash Image
Gemini 2.5 Flash Image discussions are most active in r/Bard, r/GeminiAI, r/singularity.
Top Reddit threads cluster around benchmark and model-comparison threads, safety and censorship questions, coding workflow discussions. The strongest match in this snapshot has 1601 upvotes and 352 comments.
[Fresh no more?](https://preview.redd.it/y5qy5aqctqlf1.png?width=1184&format=png&auto=webp&s=8978cad9a45d0a089ee30c4e2d08732cb046415c)
I’ve been really excited to use the model known as **nano‑banana**, now officially released as **Gemini 2.5 Flash Image**, since Google announced it on **August 26, 2025**. Its promise of low latency, strong prompt adherence, character consistency, and precise edits had me hyped.
But now, in practice since the accountment, the model feels **heavily censored**, even for basic, clearly SFW requests.
I’m not asking for anything risqué, but now the model seems unusable for many legitimate creative needs. Image quality and prompt adherence is incredible, but over‑sensitivity absolutely kills it dead in the water for me, I image for a lot of other creative people.
Has anyone else experienced this? It’s frustrating that what initially felt like an absolute game-changer now feels like a waste of time.
Seems to be nano banana that has been teased lately
this message is happening on all multiple accounts i'm using and before i can use it infinitely and the message only happens if i use Gemini 2.5 flash image 5 times on each but like i said it's happening on all accounts like now i can literately use it 5 times and not 5 times on each accounts after a 1 hour limit and before this only effects 1 account each but now it's affects all accounts, wtf happened?!?!?
FAQ
Common questions about Gemini 2.5 Flash Image
What is the context window for Gemini 2.5 Flash Image?
Gemini 2.5 Flash Image supports a context window of 1,048,576 tokens, which allows for lengthy prompts and multiple image inputs within a single request.
Where can I access Gemini 2.5 Flash Image?
The model is available through the Gemini API, Google AI Studio, and Vertex AI. Links to each platform are listed in the resources section.
What input types does Gemini 2.5 Flash Image accept?
The model accepts arrays of image URLs (imageUrlArray) as input, enabling multi-image workflows where several source images can be referenced in a single request.
When was Gemini 2.5 Flash Image released and what is its training cutoff?
Gemini 2.5 Flash Image was launched in August 2025. The training date listed in the metadata is August 2025.
Where can I find pricing information for Gemini 2.5 Flash Image?
Pricing details are available in Google's official Gemini API pricing documentation, linked in the resources section of this page.
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