Google expands Gemini AI portfolio with two new models
On Tuesday, Google (NASDAQ: GOOGL) released two artificial‑intelligence models—Nano Banana 2 Lite and Gemini Omni Flash—as part of its Gemini product line. Nano Banana 2 Lite is positioned as the fastest and most cost‑efficient text‑to‑image generator, delivering a 1,000‑pixel image in four seconds at a price of $0.034 per 1,000‑resolution image. The model is accessible through Google AI Studio, the Gemini API, and the Gemini Enterprise Agent Platform, and is also being rolled out across consumer products such as AI Mode in Search, the Gemini app, NotebookLM, Google Photos, Stitch, Google Flow, and Google Ads. It is presented as the recommended replacement for developers still using the first‑generation Nano Banana.
Gemini Omni Flash is designed for video generation and conversational editing. It can create 10‑second videos from text, image, or video prompts at $0.10 per second of video output. Longer video durations are planned for future releases. The model is available in public preview starting the same Tuesday via Google AI Studio and the Gemini API. Google highlighted that Omni Flash leverages Gemini’s subject‑matter knowledge—such as history and biology—to construct videos.
Both models incorporate SynthID watermarking and run on Google’s own infrastructure. Google showcased three demo applications—Anywhere, Space Lift, and Omni product studio—illustrating a combined workflow where images generated by Nano Banana 2 Lite can be fed into Gemini Omni Flash for animation into video.
Key pricing and performance details
- Nano Banana 2 Lite: 4‑second latency, $0.034 per 1,000‑pixel image.
- Gemini Omni Flash: $0.10 per second of video, initial 10‑second limit.
Availability
- Nano Banana 2 Lite: Google AI Studio, Gemini API, Enterprise Agent Platform, and multiple Google consumer services.
- Gemini Omni Flash: Public preview via Google AI Studio and Gemini API.
Technical notes
- Both models use SynthID watermarking for content attribution.
- Built on Google’s internal cloud infrastructure.