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Shengshu Tech's Vidu Q1 Outperforms Sora in AI Video Generation Benchmark Tests

time:2025-05-03 21:27:13 browse:51

Shengshu's Vidu Q1 Sets New Standard in AI-Generated Video Quality

Chinese tech firm Shengshu has unveiled Vidu Q1, achieving 87.41% on VBench's comprehensive evaluation - surpassing OpenAI's Sora in video consistency and physics simulation. The model generates 1080p videos with frame-perfect audio synchronization at 1/10th of competitors' costs.

Technical Architecture Behind the Breakthrough

Developed at Shengshu's Beijing R&D center and released April 2025, Vidu Q1 combines three novel approaches:

U-ViT Hybrid Architecture

The model's transformer-diffusion hybrid processes spatial-temporal patches through 128 attention layers, enabling 60.98% physics accuracy in VBench tests versus Sora's 54.12%.

Dynamic Resolution Scaling

Unlike fixed-resolution competitors, Vidu Q1 automatically adjusts from 480p to 4K output while maintaining ±0.1s audio sync precision - crucial for commercial applications.

Performance Comparison

? 5-second generation time (Sora: 8s)
? ¥0.3/sec generation cost (Sora: ¥3.2)
? 98% character consistency (Industry avg: 82%)
? Supports 18 cinematic styles

Vidu Q1 AI video generation interface showing side-by-side comparison with Sora,Vidu Q1 generated anime character maintaining consistency across multiple frames,Shengshu Technology demonstration of Vidu Q1's audio-visual synchronization capabilities

Industry Adoption and Creative Applications

Since its launch, Vidu Q1 has been adopted by:

1. Animation Studios

Horgos Animation reduced production costs by 40% while maintaining 98% character consistency across episodes using Vidu's "Infinite Storyboard" feature.

2. Social Media Platforms

Douyin reports 3.2M daily clips generated through Vidu Q1's API, with branded content creation time reduced from hours to minutes.

Future Development Roadmap

Shengshu CTO Zhang Wei announced upcoming features at the 2025 World AI Conference:

  • Real-time generation for live streaming (Q3 2025)

  • Multi-character interaction physics (Q4 2025)

  • Enterprise version with 8K support (2026)

Key Takeaways

?? 87.41% VBench score (Sora: 84.28%)
?? 60.98% physics accuracy
?? 90% cost reduction vs competitors
?? 5-second 1080p generation
???? First Chinese model to lead category

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