Google launches Nano Banana 2 Lite and Gemini Omni Flash to make AI image and video creation faster and more affordable

Google has unveiled two new additions to its Gemini ecosystem, Nano Banana 2 Lite and Gemini Omni Flash, designed to accelerate AI-powered image and video creation while making advanced generative media more accessible.

The company says Nano Banana 2 Lite is the fastest and most cost-efficient model in the Nano Banana family. Built for high throughput, speed, and scale, the model is aimed at developers and businesses that require rapid image generation without compromising on quality.

The new model is now available through Google AI Studio, the Gemini API, and the Gemini Enterprise Agent Platform. Google is also rolling it out across several consumer experiences, including AI Mode in Search, the Gemini app, and other Google products.

Nano Banana 2 Lite focuses on speed and efficiency

Nano Banana 2 Lite has been developed for workloads where responsiveness and affordability are critical. According to Google, the model can generate high-quality images significantly faster while reducing operational costs, making it suitable for applications that require large-scale image creation.

The company positions Nano Banana 2 Lite as an option for developers building consumer applications, enterprise tools, creative platforms, and other services that depend on fast image generation. Its emphasis is on maintaining image quality while delivering quicker outputs and supporting large deployment volumes.

The launch further expands the Nano Banana family, giving developers multiple options depending on whether their priority is maximum capability or greater speed and cost efficiency.

Gemini Omni Flash brings conversational video creation

Alongside its latest image model, Google has also introduced Gemini Omni Flash, a new model focused on AI-powered video generation and editing.

Gemini Omni Flash combines Gemini's reasoning capabilities with generative media technologies to create and edit videos using multiple forms of input. Users can provide text, images, audio, or video, and the model can generate new video content while grounding outputs in Gemini's understanding of the real world.

Rather than relying on a single prompt, the model allows users to refine videos through natural conversation, enabling an iterative editing workflow.

Google describes Omni Flash as a state-of-the-art solution for video editing that balances quality, speed, and affordability, making it suitable for both creative experimentation and production workflows.

A broader multimodal AI strategy

The launch reflects Google's continued investment in multimodal AI, where different forms of media work together within a single model instead of existing as separate tools.

By combining image, video, audio, and text understanding, Google aims to simplify creative workflows and reduce the complexity involved in producing visual content.

The company also highlighted that these models are designed to work across its broader ecosystem, allowing developers to build applications using the Gemini API while consumers can access the technology through familiar Google products.

This approach enables users to move from creating images to editing videos and refining outputs through conversation without switching between multiple AI systems.

Available across developer and consumer platforms

Both Nano Banana 2 Lite and Gemini Omni Flash are available through Google's AI development ecosystem, including Google AI Studio and the Gemini API, with broader integration planned across consumer products.

For developers, the rollout provides faster and more economical tools for building AI-powered creative applications. For everyday users, the new models bring quicker image generation and more intuitive video editing experiences directly into Google's AI products.

With these launches, Google continues to strengthen Gemini's role as a multimodal AI platform capable of supporting everything from image creation to conversational video generation, while placing equal emphasis on speed, scalability, and accessibility.