Model Comparison

Sora vs Vidu vs Kling vs Runway vs Veo Prompt Differences

12 min read

Introduction

Different models reward different prompt styles. Keep one core narrative and adapt syntax, movement density, and detail emphasis per model.

Prompt Formula

Formula: [shared scene core] + [model syntax variant] + [movement density] + [continuity reminder].

Step-by-Step Workflow

1) Write one baseline scene. 2) Duplicate into five versions. 3) Adjust wording for each model. 4) Keep same evaluation criteria (face stability, motion coherence, mood fidelity). 5) Save best variant template.

Concrete Prompt Examples

PROMPT baseline: Ancient Palace Night Escape with side gate, black horse, token close-up.

Sora variant: explicit temporal sequence with step-by-step movement.

Vidu variant: concise subject + emotion + camera block.

Kling variant: stronger kinetic verbs and motion mechanics.

Runway/Veo variants: cinematic shot labeling + environmental detail emphasis.

Common Mistakes

Mistake: changing scene concept while testing model differences. Mistake: no consistent quality rubric. Mistake: overfitting one model style and assuming it transfers directly.

Model-Specific Tips

Sora excels with ordered clauses. Vidu favors compact clarity. Kling thrives on action vectors. Runway suits iterative shot design and refinements. Veo handles environmental realism and layered scene context effectively.

Next Steps

Use the free generator for quick iterations → /prompt-generator

Browse ready examples → /prompt-examples

Track pack launch updates → /prompt-pack