The company says Nano Banana 2 Lite is the fastest and most cost-effective model in the Nano Banana family. This model is built for high throughput, speed, and scale, and is targeted at developers and enterprises that require rapid image generation without sacrificing quality.
The new model is now available through Google AI Studio, Gemini API, and Gemini Enterprise Agent Platform. Google is also rolling out the feature to 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 is built for workloads where responsiveness and affordability are important. Google says this model can produce high-quality images much faster while reducing operational costs, making it suitable for applications that require large-scale image creation.
The company is positioning Nano Banana 2 Lite as an option for developers building consumer applications, enterprise tools, creative platforms, and other services that rely on high-speed image generation. Its focus is on providing faster output and supporting large deployment volumes while maintaining image quality.
This launch further expands the Nano Banana family, giving developers multiple options depending on whether they prioritize maximum functionality or increased speed and cost efficiency.
Gemini Omni Flash enables conversational video creation
In addition to the latest image model, Google also announced Gemini Omni Flash, a new model focused on AI-powered video generation and editing.
Gemini Omni Flash combines Gemini’s reasoning capabilities and generative media technology to create and edit videos using multiple formats of input. Users can provide text, images, audio, or video, and the model can generate new video content, with output based on Gemini’s understanding of the real world. Rather than relying on a single prompt, this model allows users to adjust the video through natural conversation, allowing for iterative editing workflows.
Google describes Omni Flash as a cutting-edge video editing solution that balances quality, speed, and affordability, making it suitable for both creative experimentation and production workflows.
Broader multimodal AI strategy
This announcement reflects Google’s continued investment in multimodal AI, where different forms of media work together within a single model, rather than existing as separate tools.
By combining image, video, audio, and text understanding, Google aims to simplify creative workflows and reduce the complexity of producing visual content.
The company also emphasized that these models are designed to work across a broad ecosystem, allowing developers to build applications using Gemini APIs, while consumers can access the technology through familiar Google products.
This approach allows users to go from creating images to editing videos to adjusting output through conversations without having to switch 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 Gemini API, with broader integration planned across consumer products.
For developers, this rollout provides faster and more economical tools to build creative AI-powered applications. For consumers, the new model brings faster image generation and a more intuitive video editing experience directly into Google’s AI products.
With these announcements, Google continues to strengthen Gemini’s role as a multimodal AI platform capable of supporting everything from image creation to conversational video generation, with equal emphasis on speed, scalability, and accessibility.
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