
Which AI video model is actually best — and at what? The marketing says one thing; the output says another. This research hub publishes hands-on analysis of AI video models: benchmarks, head-to-head tests, capability maps (native audio, motion, realism, speed, cost) and deep dives, so decisions rest on evidence rather than hype.
Because the field changes weekly, the research is run and re-run as new models ship — Sora, Veo, Kling, Hailuo, Vidu, Seedance and more — measured on the things that matter for real work: prompt adherence, physics, audio sync, render time and price. Every report is written to be useful to a creator or a buyer choosing where to spend time and budget.
Read the featured report and the latest analysis below, then put the findings into practice: every model we test is available on Vivideo behind one prompt, so you can validate a benchmark on your own footage in minutes.
Hands-on analysis of AI video models — benchmarks, head-to-head comparisons, capability maps (audio, motion, realism, speed, cost) and deep dives — so you can choose a model on evidence, not marketing.
It varies by dimension, which is exactly what the research measures. The capability maps break down which models lead on native audio, physics, motion and prompt adherence.
It's re-run as new models ship, because rankings change monthly. Each report notes what was tested and when.
Yes — every model tested is on Vivideo behind one prompt, so you can run the same prompt on your own footage and compare results yourself.
It's hands-on and output-based: models are judged on what they actually produce for real tasks, not on vendor claims.
Pick the model the research recommends for your shot, then generate it free on Vivideo — or run a prompt through several models and keep the best.