Veo 3.1 Lite is positioned within Google's DeepMind video generation family as a budget-oriented counterpart to the standard Veo 3.1, trading some headroom for substantially lower cost while keeping the same generation speed as the Fast tier. Third-party descriptions characterize it as a lightweight generative video model that converts text prompts, and optionally images, into short clips at 720P or 1080P with selectable durations of roughly four, six, or eight seconds and flexible 16:9 or 9:16 framing. Because the sources are product and comparison pages rather than first-party DeepMind documentation, this framing should be read as a working summary of public-facing capabilities rather than an official specification sheet.

From a practical standpoint, the model fits use cases where cost per second dominates the decision: short marketing clips, social-first vertical ads, rapid prototyping, and concept visualization where full Veo 3.1 quality would be overkill. A preview listing routed through another gateway reports an output cost around $0.05 per second of generated video with a small around-1K token context for prompts, reinforcing the impression of a lean, throughput-friendly endpoint. Teams weighing Veo 3.1 Lite against the full model should expect materially cheaper runs at comparable speeds, with the trade-off sitting in the Lite tier's intentional cost-versus-quality balance rather than in any pretraining or scale claim documented here.