Step Video T2V vs Snorkel AI
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Step Video T2V compared with Snorkel AI
| Detail | 
Step Video T2V | 
Snorkel AI |
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| What it does | Transform text descriptions into high-quality professional videos using advanced AI
| Expert data development for frontier AI
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| Stage | Not given
| Established
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| Founded | Not given
| 2019
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| Based in | Not given
| Not given
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| Pricing model | Freemium
| Contact for pricing
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| Pricing | Hobby $7.92/month (200 Credits/month), Basic $15.92/month (500 Credits/month), Pro $39.92/month (2000 Credits/month), Lite $5.99 one-time (50 Credits). 1 credit generates 1 AI artwork.
| Not given
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| Key features | - Advanced 30-billion parameter AI model for detailed video generation
- Generate videos up to 204 frames long
- Video-VAE deep compression technology for faster processing
- High-quality visual output with DiT and 3D Full Attention mechanism
- Bilingual text input support for English and Chinese
- Customizable video length and style settings
- No ads and no watermark on generated videos
- Priority generation queue for faster processing
| - Research-grade datasets with rubrics, reviewer guidance, difficulty tiers and eval slices
- Custom data development for specific failure surfaces and use cases
- Specialized agents built on expert data evaluated in real workflows
- Benchmark-grade environments and evaluation harnesses
- Provenance tracking with full audit trails for all labeled data
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| What makes it different | - Supports up to 204 frames, enabling longer and more complete video narratives
- Bilingual AI understanding for both English and Chinese creators
- Continuous optimization through human feedback-based preference learning
- No watermarks and no ads on any subscription tier
| - Research-driven data lab focused on quality and frontier-hardness rather than volume
- Domain-specific benchmarks and evaluation environments built for real-world, high-stakes failures
- Research methodology published and peer-reviewed with 200+ papers
- Comprehensive data lifecycle from SFT to RL training to evaluation
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 6 ▼ −1 (down) since last check | 72 ● no change since last check |
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| Trust Flow (Majestic) | 2 | 24 |
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| Citation Flow (Majestic) | 10 | 42 |
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| Referring domains (Majestic) | 13 | 2315 |
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4 details filled in for both companies.
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