DeeVid AI vs Hy4 preview: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of DeeVid AI and Hy4 preview — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
DeeVid AI
DeeVid AI
Generate professional-quality videos from text, image, or video prompts in about one minute.
Key features
- Text-to-Video Conversion: Converts natural-language text prompts into full video sequences, automatically composing scenes, timing, and visuals to match the prompt.
- Image-to-Video Transformation: Animates still images or uses image prompts as visual sources to produce animated clips or scene segments.
- Video Prompt Editing: Accepts existing video inputs and uses prompts to extend, restyle, or recompose footage into new outputs.
- One-Minute Generation: Optimized pipeline that can produce draft-quality, professional-looking videos in approximately one minute to accelerate iteration.
- Advanced Motion & Animation Control: Provides smoother transitions and dynamic camera movement controls to create more cinematic and polished motion between scenes.
- Preset Styles & Templates: Offers ready-made visual styles and templates so users can apply consistent branding and aesthetics without manual design work.
- Export Options & Formats: Supports exporting finished videos in common formats and resolutions suitable for social platforms and marketing use cases.
- Generate videos from text prompts
- Generate videos from image prompts
- Generate videos from existing video prompts
- Rapid render times (advertised ~1 minute per video)
- Web-based interface for quick creation
- Professional-quality video output suitable for social and marketing use
Best for
- Rapid Social Clips: Create short social-media videos from a brief text prompt for platforms like TikTok, Instagram Reels, and YouTube Shorts without manual editing.
- Marketing & Product Videos: Generate promotional product demos and marketing assets quickly by describing desired scenes and messaging in text prompts.
- Explainer and Educational Videos: Produce narrated explainer content or tutorial clips by converting structured text scripts into timed video segments.
- Iterative Concept Prototyping: Quickly prototype multiple visual concepts and camera motions for storyboards or client pitches by varying prompts and styles.
- Image Animation & Content Repurposing: Turn user photos or static visual assets into animated sequences for ads, intros, or personalized content.
- Create short social media clips from text or images
- Produce marketing or promotional videos quickly
- Turn concept prompts into prototype video content
- Generate brief explainers or product demos
- Rapid iteration of visual content for campaigns
Hy4 preview
Tencent
Tencent's open-weight Hy4 preview, a 770B-parameter Mixture-of-Experts model with 49B active parameters and a 1M-token context window.
Key features
- 770B Mixture-of-Experts Architecture: Holds 770 billion total parameters while activating only 49 billion per token, so capacity scales without proportional inference cost.
- 1M-Token Context Window: Accepts inputs exceeding one million tokens, allowing whole codebases, long document sets or extended agent traces in a single prompt.
- Apache 2.0 Open Weights: Released under a permissive licence that allows commercial use, modification and redistribution with no separate agreement.
- Productivity Task Focus: Tuned for real-world coding, office work and scientific research rather than narrow benchmark optimisation.
- Multi-Product Availability: Accessible globally through Tencent's WorkBuddy, CodeBuddy, Yuanbao and ima applications in addition to the raw weights.
- API Access via TokenHub and OpenRouter: Can be called through Tencent Cloud TokenHub or OpenRouter for teams that prefer hosted inference over self-hosting.
Best for
- Whole-Repository Code Work: Load an entire codebase into the million-token context to reason about refactors and cross-file dependencies at once.
- Long-Horizon Agent Tasks: Drive multi-step agent workflows where the full history of tool calls and intermediate results must stay in context.
- Self-Hosted Deployment: Run a frontier-scale open-weight model on private infrastructure where data cannot leave the organisation.
- Scientific Literature Analysis: Ingest large collections of papers or experimental logs and synthesise findings without chunking the input.
- Office Document Processing: Summarise, draft and restructure long reports, contracts and spreadsheets in enterprise workflows.
- Commercial Fine-Tuning: Adapt the weights for a proprietary product under the Apache 2.0 licence without negotiating a model licence.