This is an AI video generation comparison for text-to-video 
prompt:
A sausage dog wearing stylish wind goggles drives a gleaming chrome motorcycle, its long ears flapping wildly in the breeze, and its mouth open in an excited, playful expression. The dog looks thrilled as it grips the handlebars tightly. In the front basket of the motorcycle, a ginger-and-white cat sits energetically, its fur tousled by the wind, with wide, excited eyes and an open-mouthed expression of joy. The background features a vast countryside road stretching into the distance, lined with golden fields and distant mountains under warm golden sunlight. The entire scene exudes quirky, dynamic energy with a fun and cinematic vibe.
Tested: December 20, 2024
Model: Pixverse V3. See large video at https://youtu.be/Dev3Wy3Blwg
Tested: December 20, 2024
Text to video with T2V-01 model without prompt enhancement.
Tested: December 21, 2024
Text-to-video prompt accidentally tested vertical format.
Tested: December 21, 2024
Text-to-video prompt test. See full resolution here https://youtu.be/Jg18tzS4RTE
Tested: December 23, 2024
Kling 1.6 text-to-video test in professional mode.
Tested: January 23, 2025
Dynamic motion + anthropomorphic animals prompt result.
Tested: January 31, 2025
Qwen2.5 Max producing a hyperrealistic scene of animals riding a bike
Tested: February 10, 2025
Vidu 1.5 model generating text to video in 1080p.
Tested: February 12, 2025
Mochi 1 model through Genmo AI playground
Tested: February 28, 2025
Test in local Comfy UI install of 1.3 billion Wan model
Check out the results from PixVerse (PixVerse V4) vs Hailuo AI x Minimax vs Dream Machine vs Sora vs Kling AI (Kling 1.6 Pro) vs Hunyuan Video (HunyuanVideo) vs Qwen Image & Video Generator vs Vidu AI vs Mochi (Genmo AI) vs Wan (Open-source) vs Wan (Online Platform) for similar or identical prompts side-by-side.
