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Model details

Nano Banana

Nano Banana is Google's image generation offering, originally introduced in late August 2025 and positioned as a model that brings genuine language understanding to visual creation rather than a pure pixel synthesizer. Google's own prompting guide frames the family as built on the Gemini 3 family of models, with reasoning applied up front so the model interprets the prompt thoroughly before rendering, which is meant to reduce the trial-and-error loop that typically slows creative iteration. That grounding in a broader reasoning-focused architecture is the defining trait developers and designers encounter when working with the model on Vertex AI, and it underpins the brand identity that has since expanded into a "Pro" variant covered in third-party reporting.

In practical terms, Nano Banana is aimed at teams that need precise, prompt-faithful imagery for marketing, product visualization, and brand-consistent content at scale. Google Cloud highlights workflows that combine Nano Banana with other creative models like Veo and Lyria, suggesting a fit in pipelines where stills, motion, and music need to be orchestrated together. Designers at major platforms have begun integrating the family, and the launch of a Pro tier indicates ongoing investment in higher-fidelity outputs and more controllable generation. For organizations already working inside Google Cloud's agent and AI tooling, Nano Banana is most useful as a reasoning-aware image generator that interprets nuanced prompts and slots into broader multimodal production workflows.

Vertexgemini-2.5-flash-imagegemini-flash

Quick Info

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Provider
Vertex
Model key
gemini-2.5-flash-image
Release date
Aug 26, 2025
Last updated
Aug 26, 2025
Knowledge cutoff
2024-06
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.30
Output token cost
$30.00

Limits

Output tokens
32,768 tokens
Context window
32,768 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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