How we measure real-time vision, what the numbers mean, and how to ship a VLM that answers in time.
Frontier vision-language models now cluster within a few points on capability. The real spread has moved to speed, latency, and cost per task, and that is where model selection is decided.
Why we treat end-to-end latency as a first-class benchmark axis, how we measure it across regions, and which VLMs actually clear the bar for live video.
A field guide to the latency budget of a live vision pipeline (capture, transport, preprocessing, prefill, and decode) and where the milliseconds actually go.