#Gemini

Google DeepMind's Gemini Omni Flash model achieved a score of 1404 points on the Video Arena blind test leaderboard, surpassing ByteDance's Seedance 2.0 Mini by 101 points. This milestone marks a significant shift in AI video generation ranking, demonstrating Google's competitive edge over ByteDance in the rapidly evolving field of generative AI video. Video Arena rankings are based on anonymous user votes, and Google's video model ranking has improved by 7 positions compared to the Veo series era.

Google has released Nano Banana 2 Lite, a fast image generation model that produces images in 4 seconds at a cost of $0.034 per 1K images, and Gemini Omni Flash, a multimodal video generation model that creates 10-second videos from text, image, or video inputs, now available to developers. These models significantly reduce the cost and latency of generative media, making high-quality image and video synthesis more accessible for developers and enterprises, and expanding the capabilities of Google's AI ecosystem. Nano Banana 2 Lite is available in Google AI Studio, Gemini API, and Gemini Enterprise Agent Platform, and will be integrated into consumer products like Search AI Mode and the Gemini app. Gemini Omni Flash costs $0.10 per second of video output but currently lacks audio reference, scene extension, and full character consistency across scenes.