Choosing the Right AI Video Model: What Actually Matters in Real Workflows
AI video models are improving fast. However, in real projects, visual impressiveness is rarely the deciding factor. Stability, control, and integration matter more. When comparing systems like Kling 3.0, Sora 2, Veo 3.1, and Seedance 2, the real differences appear under practical pressure. Here are the factors that actually shape production workflows. 1. Temporal Stability Frame-to-frame consistency is often more important than raw resolution. A visually sharp clip that shifts objects or lighting between frames becomes unusable. Kling 3.0 stands out here. Its dialogue scenes and human motion remain stable across sequences, making it stronger for grounded narrative work. 2. Physics and Environmental Coherence Large-scale scenes and multi-object interactions expose weaknesses quickly. Gravity, reflections, and object permanence are still difficult for many systems. Sora 2 appears particularly strong in environmental simulation, maintaining believable cause-and-effect behavior even ...