By attribute · 9 models · 105 documented failure modes
Consistency is not one property — pick by the thing that has to stay right.
A model can nail the face and drop the camera move in the same clip. So “which AI video model is most consistent?” has no single answer — it depends on the one attribute your shot can’t get wrong. Each page below answers one of those questions from the documented failure catalogue, not demo reels.
Which model holds…
Per-attribute answers
Holds a consistent face across cuts
Runway Gen-4
Runway Gen-4 Scenes mode is the only documented model built specifically to hold a character across multiple cuts; others drift after a few cuts.
Holds readable on-screen text
No model reliably does
Text rendering is a documented failure mode for every covered model — all garble past roughly six characters. Add text in post instead of relying on the model.
Holds correct hands in close-up
No model reliably does
Hand-anatomy failure is documented across every model. Frame hands away from camera or expect to re-roll; no model has solved close-up finger topology.
Holds cinematic lighting in a single take
Luma Ray-2
Luma Ray-2 documents the fewest lighting-related failures and leads on photoreal cinematic light for mood-led single-shot work.
Holds native audio with the video
Veo (Google Veo 3)
Veo is the only covered model with native audio generation; the rest produce silent video that needs separate audio.
Holds long, multi-instruction prompts
No model reliably does
Every model documents an instruction-drop / prompt-adherence failure that worsens as prompt length grows. Front-load must-haves and keep prompts short.
Want the overall picture instead of one attribute? See the most-consistent-model ranking or score a prompt against these profiles with the prompt-scoring explainer.