Google LLC unveiled Nano Banana 2, a new image-generation model on 27 March 2026, Friday. The company claims to deliver faster output, stronger prompt adherence, and improved visual quality. The launch comes as competition intensifies in the generative AI market.
The model will be integrated into more than half a dozen Google products, including the Gemini app, Flow design platform, and the Vertex AI enterprise suite.
Nano Banana 2 will not replace the existing Nano Banana Pro, which was launched in November 2025. Google has positioned these two systems for different workloads.
While Nano Banana Pro will target high-fidelity use cases that require maximum factual accuracy, the new model focuses on speed-first image generation, making it suitable for rapid creative workflows and iterative design.
The original Nano Banana debuted in August 2025.
Google said the latest version follows user prompts more precisely, reducing missing elements and limiting unwanted visual additions.
The company also highlighted:
Better lighting and texture rendering
Stronger consistency across multiple images
Improved handling of complex design instructions
The model can maintain the resemblance of up to five characters and the fidelity of 14 objects in a single workflow, a feature aimed at animation, branding, and storyboard creation.
Users can also generate image sequences, such as keyframes for animated scenes, and customize aspect ratios and resolutions from 512px to 4K.
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According to Google DeepMind, Nano Banana 2 draws on Gemini’s real-world knowledge and real-time web data to render specialized subjects more accurately.
This allows the system to create:
Infographics
Diagrams from notes
Data visualisations
without detailed technical prompts.
The launch comes roughly three months after OpenAI introduced GPT Image 1.5, which also emphasised speed and prompt accuracy.
With both companies now differentiating models based on speed and factual precision, the battle in generative media is shifting from raw capability to workflow-specific optimization, particularly for enterprise and professional design users.