I Tested All AI Video Generation Websites... And The Result Shocked Me! 🤯

The test prompt was 'A Karkadeh vendor on the streets of Cairo pours and hands a drink to a passenger in a white taxi,' a high-difficulty setting that included liquid physics, cultural background, and complex human interaction.

Over 11 AI models, including OpenArt, Kling, Pika 2.0, Pixverse, Minimax (Hailuo), Wen 2.6, and Luma Dream Machine, were actually tested, and the output quality of each tool was evaluated in detail.

Many tools failed to accurately generate even basic interactions like liquid physics or 'handing over a cup,' with frequent problems such as characters' hands splitting or merging, and taxis appearing without drivers.

Veo 3 (Google) received high praise, especially in an additional test generating an Egyptian female influencer. The natural detail of skin texture, lip-sync, hair movement, and background blur effects positioned it in the top rank.

Kling AI also provided relatively high-quality output and was categorized as 'working,' but it wasn't perfect.

Sora 2 (OpenAI) was highly anticipated, but critical errors such as characters not receiving drinks and reversed audio/speaker roles in conversations occurred, resulting in a disappointing outcome.

Wen 2.6 (or perhaps 1.6?) was insufficient in terms of liquid physics and interaction, but its visual quality itself received some positive evaluation.

Pika 2.0, Pixverse, Minimax, and Luma Dream Machine were categorized as 'completely unusable' or 'unusable,' and failed to meet basic requirements.

Platforms like OpenArt and Haiper offer integrated access to multiple AI tools, but they present cost challenges, such as high credit consumption where $14 was quickly used up.

Overall, it became clear that even as of 2026, AI video generation still faces many challenges in reproducing complex physics simulations, cultural contexts, and natural human-to-human interactions.