Hy4 preview vs Wan2.5 AI Video Generator: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Hy4 preview and Wan2.5 AI Video Generator — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
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.
Wan2.5 AI Video Generator
Alibaba Group
Wan2.5 is Alibaba’s open-source video generation model that creates cinematic text- or image-driven videos with advanced motion and control.
Key features
- Multi-Modal Generation: Supports both text-to-video and image-to-video workflows, allowing users to generate videos from prompts, single images, or combined inputs for richer outputs.
- Advanced Cinematic Control: Provides controls for cinematic composition and camera-like motion behaviors to produce filmic framing, pacing, and scene transitions.
- Complex Motion Synthesis: Trained to generate realistic, varied motions and dynamics (including human and object motion) with improved temporal consistency over previous Wan versions.
- High-Resolution & Aspect Options: Produces outputs at common delivery resolutions (e.g., 480P and 1080P) and supports 6+ aspect ratios to match social, mobile, and broadcast formats.
- Wan‑VAE Architecture: Utilizes a 3D causal VAE design for efficient spatio-temporal compression, enabling long-sequence encoding/decoding and better preservation of historical temporal information.
- Smart Prompt Rewriting: Includes prompt-rewriting/processing capabilities (on consumer platforms) to refine user inputs for higher-quality and more targeted video outputs.
- Open-Source Availability: Released openly by Alibaba, allowing third-party platforms and developers to integrate, fine-tune, or run the model within their own services.
- Lightweight Third-Party Deployment: Can be offered via optimized third-party services (e.g., WAN AI) that minimize GPU requirements and provide fast, code-free generation experiences.
- Text-to-video synthesis supporting English and Chinese prompts
- Image-to-video synthesis (start-from-image workflows)
- Cinematic controls and motion generation for realistic dynamics
- Multiple output resolutions (noted support for 480P and 1080P)
- Support for multiple aspect ratios (6+ aspect ratios referenced)
- Smart prompt rewriting to improve generation quality
- Wan-VAE 3D causal VAE architecture for spatio-temporal compression and temporal causality
- Memory-efficient design enabling long/unlimited-length 1080P encoding without losing temporal history
- Open-source release with model repos on GitHub and Hugging Face
- Integrations/demos via Gradio web apps and third-party platforms (e.g., WAN AI) for no-code generation
Best for
- Social video creation: Rapidly generate short cinematic clips for social media posts and stories from text prompts or single images without manual filming.
- Marketing & Advertising: Produce quick concept ads or promotional videos with specific motion and cinematic styles to iterate creative campaigns faster.
- Storyboarding & Previsualization: Create animated previsuals from script descriptions or concept art to explore camera movements and scene pacing before production.
- Image Animation: Animate photos or illustrations into short moving scenes for product showcases, nostalgia effects, or creative content.
- Multilingual Content Production: Generate videos from English or Chinese prompts (and other supported languages) to localize visual storytelling across markets.
- Enterprise Video Workflows: Integrate the open-source model into custom pipelines for scalable video generation, lip-sync editing, or automated content generation for platforms.
- Rapid creation of short cinematic videos for content creators and marketers
- Image-to-video transformation for creative storytelling and motion design
- Prototyping and research in video generative models and motion synthesis
- Enterprise-level solutions requiring high-throughput or automated video generation
- Long-form video generation and precise editing tasks (e.g., lip-sync editing as referenced in related Wan releases)