Three videos per day. That's Google's current hard cap for Veo 3 generation through Gemini Advanced, and for anyone running iterative video production, it's effectively useless.
Veo 3 is Google's latest AI video model - it generates short clips with synchronized audio, which puts it ahead of most competitors on output quality alone. But a 3-generation daily limit means you can't do basic A/B testing on clips, let alone produce at the volume most content creators actually need. Generating 10-20 variations to find one usable take is a standard part of any video workflow, not unusual behavior.
The alternative Google offers is VideoFX (also called Flow), a separate creative platform with credits-based access. Veo 3 generation costs around 10 credits per video there, with larger credit pools available. The math on that model gets expensive fast at 50-100 generations per day - the volume a dedicated short-form video creator might run through in a single production session.
This isn't unique to Google. Video inference - the actual computational process of generating each clip - costs roughly 10-50x more than generating a comparable image, so every AI video platform throttles volume. RunwayML, Kling, and Pika all use credits or daily caps for the same reason. The difference is that Veo 3's quality has raised creator expectations, and the 3-video ceiling feels especially punishing against that quality bar.
As of May 2026, Google hasn't announced a higher-tier Gemini plan specifically targeting professional video volume. Anyone planning to build a production workflow around Veo 3 needs to run the numbers on VideoFX credits against their actual daily generation needs before committing.