Google Just Made AI Image and Video Generation Nearly Free

Google released two new generative models on the same day: Nano Banana 2 Lite, also known as Gemini 3.1 Flash-Lite Image, and Gemini Omni Flash, a video generation and editing model. Both launched through the Gemini API and Google AI Studio, according to Google's own announcement and coverage from VentureBeat and Google Cloud's blog.

Nano Banana 2 Lite generates a 1K-resolution image in about four seconds for $0.034, which Google describes as its fastest and cheapest image model to date. Gemini Omni Flash prices video output at $0.10 per second, matching the rate Google already charges for Veo 3.1 Fast, and can generate clips up to ten seconds long.

Neither model is chasing frontier quality

The naming is deliberate. "Lite" and "Flash" in Google's own model lineup signal a tradeoff: lower cost and latency in exchange for output that won't match the company's top-tier Nano Banana 2 or full Veo models. That's consistent with who Google says these are for, high-volume enterprise use cases like generating large batches of product images or short marketing clips, rather than the kind of one-off, quality-critical generation an individual creator might want.

That positioning matters more than the specific numbers. Pricing a usable image generation model at three and a half cents and video at ten cents a second is a bet that most commercial demand for generative media is volume-driven, not quality-driven, and that whoever makes bulk generation cheapest captures that demand regardless of whether their flagship model is best in class. It's the same logic cloud providers have run on compute for years, undercut on the commodity tier while protecting margin on the premium one, applied to generative AI for the first time at this price point.

It also lands at a moment when several AI companies elsewhere in the stack have been raising prices or unwinding subsidized flat rates as the real cost of serving heavy users became clear. Google moving in the opposite direction on its lower tier, cutting price on a commodity product rather than defending margin on it, suggests the company is treating cheap bulk generation as a wedge to win developer and enterprise workloads before competitors can match the price, not as a segment it expects to be profitable on its own terms yet.

Sources: Google · VentureBeat · Google Cloud Blog