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Model details
Nano Banana Pro
Nano Banana Pro is Google's advanced image-generation and editing model built directly on the Gemini 3 Pro architecture. Unlike standard text models, it excels at producing studio-quality, production-ready visual content with high-fidelity synthesis. The model handles complex visual compositions ranging from infographics and diagrams to cinematic composites, incorporating multimodal reasoning to understand context deeply. It offers industry-leading text rendering capabilities within images, including long passages and multilingual layouts, while maintaining consistent character identity across up to five subjects. Creative professionals benefit from fine-grained controls for localized edits, lighting adjustments, camera transformations, and support for 2K and 4K outputs with flexible aspect ratios, making it suited for professional-grade design and product visualization.
This model extends Google's earlier Nano Banana image generation work, which became the world's top-rated image model following its release. The architecture builds on Gemini 3 Pro's foundation to add significantly improved multimodal reasoning and real-world grounding capabilities. A distinctive feature is mandatory reasoning operations before image generation, where thinking tokens enable the model to plan compositions before outputting visual content. Search grounding allows the model to incorporate real-time information into generated imagery. Available through Vertex AI and Google Workspace, it targets developers and businesses seeking to integrate sophisticated image creation and editing into their applications, from storyboarding workflows to complex multi-element compositions for marketing and product development.
Quick Info
Powered by- Provider
- Vercel AI Gateway
- Model key
- google/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
- $12.00
Limits
- Output tokens
- 32,768 tokens
- Context window
- 65,536 tokens
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