Google Pairs Nano Banana Update With Video Api

2026-07-10 · Source: The Batch | DeepLearning.AI | AI News & Insights - www.deeplearning.ai · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Emerging Technologies & Innovation · Depth: Intermediate, short

Summary

Google has released Nano Banana 2 Lite (formally Gemini 3.1 Flash Lite Image), its fastest and lowest-cost image model, alongside making Gemini Omni Flash, a multimodal video model, available to developers via API. Nano Banana 2 Lite generates 1K-resolution images for \$0.034, ranking fifth on Image Arena, and Gemini Omni Flash produces 720p video with synchronized audio, up to 10 seconds per clip, for \$0.10 per second, leading Video Arena for generation. Both models are accessible through the Gemini API, Google AI Studio, and the Gemini Enterprise Agent Platform. This pairing allows users to generate an image with Nano Banana 2 Lite and then convert it into video using Gemini Omni Flash through a unified conversational interface, creating a low-cost, high-throughput media generation pipeline.

Key takeaway

For AI Engineers building media-rich applications, Google's new Nano Banana 2 Lite and Gemini Omni Flash models offer a cost-effective, high-throughput pipeline. You can now automate image-to-video generation directly within your apps, leveraging the \$0.034 image and \$0.10/second video costs. Consider integrating this for dynamic ad creative or personalized social media content, enabling rapid iteration and scaling of multimedia assets.

Key insights

Google's new models enable low-cost, high-throughput image-to-video generation, shifting media production economics.

Principles

• Cost-efficient models enable new application paradigms.
• Conversational interfaces streamline iterative media editing.
• Chaining specialized models creates powerful pipelines.

Method

Generate an image using Nano Banana 2 Lite, then pass it to Gemini Omni Flash as a starting frame via the Gemini API for 720p video with synchronized audio, allowing up to three sequential edits.

In practice

• Automate ad creative generation from product images.
• Produce high-volume social media content.
• Integrate real-time media generation into apps.

Topics

• Generative AI
• Image-to-Video
• Gemini API
• Nano Banana 2 Lite
• Gemini Omni Flash
• Media Production Automation

Code references

• facebookresearch/MovieGenBench

Best for: Machine Learning Engineer, Computer Vision Engineer, CTO, AI Engineer, Software Engineer, AI Product Manager

Related on AIssential

• Google launches Nano Banana 2 Lite for fast AI images and Gemini Omni Flash for video via API — Google's new AI models enable rapid, cost-effective image generation and API-driven video creation.
• Google introduces a faster, cheaper image generator with Nano Banana 2 Lite — Google's Nano Banana 2 Lite offers rapid, cost-effective AI image generation for high-volume creative workflows.
• Google's Gemini Omni Flash hits the API, turning enterprise video production into a conversation — Gemini Omni Flash's API enables conversational, iterative video editing, streamlining enterprise content creation from diverse inputs.
• Google unveils Nano Banana 2 Lite aka Gemini 3.1 Flash-Lite for low cost, 4-second fast enterprise image generations — Google's Nano Banana 2 Lite offers rapid, cost-effective 1k image generation for high-throughput enterprise applications.
• Why Nano Banana Pro feels like a real breakthrough — Advanced AI models now offer conversational prompting, extended video generation, and enhanced image realism.
• Google Photos adds a new AI ‘Video Remix’ tool — Google Photos' new Video Remix, powered by Gemini Omni, democratizes complex video editing with AI-driven transformations in seconds.

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Editorial summary, takeaway, and curation by AIssential. Original article published by The Batch | DeepLearning.AI | AI News & Insights - www.deeplearning.ai.