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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.
Quick Info
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- 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
Compare Nano Banana pricing
Rates are shown per one million tokens. Combined means one million input plus one million output tokens.
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