IMG.LY's independent benchmark page for Nano Banana Pro evaluates the exact Gemini 3 Pro Image model across 14 design-oriented criteria, reporting scores such as 3.6/5 for Typography & Text Rendering and Brand-Color Fidelity, 2.6/5 for Transparency & Cutouts, and 3.0/5 for Consistency & Repeatability. The page lists a The same benchmark characterizes Nano Banana Pro as the premium tier of the Nano Banana family and "the hardest to justify" relative to the cheaper Nano Banana 2 mainline, noting it outperforms siblings mainly on specific criteria rather than overall quality. The methodology is disclosed as auto-measured criteria combi
Model details
Nano Banana Pro
Nano Banana Pro is an image generation and editing model from Google DeepMind, positioned for turning conceptual visions into production-ready visuals. Google's product blog introduces it with a focus on studio-quality designs, unprecedented creative control, improved text rendering, and enhanced world knowledge, signaling that the model is intended for design, marketing, and creative workflows where visual fidelity and accurate in-image typography matter. The announcement was published on the Google blog in November 2025 and attributed to Naina Raisinghani, Product Manager at Google DeepMind, framing the release as a major step in Google's image-generation lineup.
Because Nano Banana Pro sits in the same image-focused family that succeeded the earlier Gemini 2.5 Flash Image release, its practical appeal lies in pairing generative creation with editing, allowing users to iterate on branding, localization, and campaign assets rather than starting from scratch. The emphasis on better text rendering addresses one of the most persistent pain points in diffusion-based image models, while stronger world knowledge supports more accurate depictions of real-world subjects, scenes, and labeled diagrams. For teams that need consistent, on-brand imagery across global markets, the model offers a creative partner that can move from rough concept to polished design with fewer rounds of manual cleanup.
Quick Info
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- Model key
- gemini-3-pro-image
- Release date
- May 28, 2026
- Last updated
- May 28, 2026
- Knowledge cutoff
- 2025-01
- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $2.00
- Output token cost
- $120.00
Limits
- Output tokens
- 32,768 tokens
- Context window
- 65,536 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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