AI Video Model Comparison 2025
Discover the capabilities of leading AI video generation models. Compare features like duration, resolution, and control.
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5 of 5 models selected for detailed comparison.

Kling 2.0
4.8
by Kuaishou
Advanced text-to-video model capable of generating longer, high-resolution videos with complex motion.
Long duration (up to 2 min), High resolution (1080p), Complex motion, Physics simulation
Limited access (waitlist), Potential artifacts in long sequences, Computationally intensive
Features:
- Long Duration
- High Resolution
- + more
text-to-videolong-formhigh-res
Waitlist / (TBD)

Ray2
4.2
by (Unknown/Research)
Text-to-video model (details needed, often research projects initially).
Features:
- API
text-to-videoresearch
Research / (TBD)

Veo 2
4.7
by Google
Google's flagship text-to-video model, aiming for high fidelity, consistency, and control.
High fidelity, Consistency, Cinematic styles, Longer sequences (>1 min), Integration potential
Limited access (waitlist), Computationally intensive
Features:
- High Fidelity
- Cinematic Control
- + more
text-to-videogooglehigh-fidelity
Waitlist / (TBD)

Runway Gen-4
4.5
by Runway ML
Next iteration of Runway's video generation models, focusing on improved quality and control.
Improved quality over Gen-3, Motion control, Style control, Platform integration
Still under development/preview?, Shorter clips typical, Cost
Features:
- API
- Motion Control
- + more
text-to-videoimage-to-videovideo-to-video
Subscription / Credits

Hailuo
4.3
by Tencent
Tencent's video generation model, details often emerge gradually from this region.
Limited public info, Likely China-focused access initially
Features:
- API
text-to-videotencent