Guide

Which AI video model should you use?

Every AI video model trades speed, reference handling, and duration differently. Here is how to match a shot to a model family using real capability facts instead of marketing claims.

By Video Loom · 2026-07-05

1. Start from the shot, not the brand

Decide what the shot actually needs — reference-image fidelity, source-video restyle, native audio, or long single-take duration — before picking a model family.

Reference-heavy continuity favors strong reference-image support.
Source-footage restyle needs a video-to-video capable model.
Native audio output can skip a separate voiceover pass.

2. Compare real capability facts

Check current duration, resolution, reference caps, lip sync, and extend support for each family on the AI video model comparison hub before committing a shot to one.

Duration and resolution ceilings per family.
Reference-image and multi-reference support.
Lip sync and temporal-extend availability.

3. Route per shot, not per project

Different shots in the same project can use different models. Plan the scene once, then send it to the provider that fits, and compare takes before committing.

Per-scene provider and model routing.
Fallback options for long-running jobs.
Takes stay comparable across providers in one timeline.

Try the workflow

Plan your next AI video in Video Loom.

Turn the guide into a project with scene planning, provider routing, continuity, review, and export in one workspace.

Open Video Loom View Multi-provider AI video workflow

Questions

Common questions.

Is there one best AI video model?

No single model wins every shot. Match the model family to what the specific shot needs — references, restyle, duration, or audio — using current capability facts.

Can I use more than one model in the same project?

Yes. Per-scene provider routing lets different shots in the same project use whichever configured model fits them best.