Hy4 preview vs Wan 2.6: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Hy4 preview and Wan 2.6 — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Hy4 preview

Tencent

Free

Tencent's open-weight Hy4 preview, a 770B-parameter Mixture-of-Experts model with 49B active parameters and a 1M-token context window.

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.

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.

Wan AI

Freemium

Wan 2.6 is Wan's multimodal video-generation model for text-to-video, image-to-video, text-to-image, image-to-image, and image editing.

Text-to-Video Generation: Converts natural-language prompts into multi-frame video outputs, enabling rapid creation of animated concept sequences from text descriptions.
Image-to-Video Conversion: Transforms a static image into temporally coherent video content, facilitating motion design and animation starting from existing visuals.
Text-to-Image and Image-to-Image: Produces new images from textual prompts and refines or reimagines existing images while preserving stylistic or semantic constraints.
Image Editing Tools: Provides in-model editing capabilities to modify, retouch, or augment images based on textual or visual instructions within the platform.
Multimodal Input Support: Accepts both text and image inputs to guide generation, allowing combined prompt-and-reference workflows for greater control.
Creative Workflow Integration: Designed as part of the Wan platform to streamline creative iteration, enabling creators to prototype and refine ideas quickly using unified tools.
Text-to-image synthesis from natural-language prompts
Image-to-image transformation and style transfer
Text-to-video generation for short-form video creation
Image-to-video conversion and animation of stills
Image editing tools (retouching, compositing, iterative edits)
Web-based platform for onboarding and content export
Workflow tools for rapid prototyping and iterative refinement

Marketing Video Production: Generate short promotional videos from campaign briefs to accelerate social media and ad content creation without full production pipelines.
Concept Storyboarding: Create animated storyboards from text descriptions to visualize scenes and motion for pre-production and client presentations.
Visual Asset Variant Creation: Produce multiple stylistic or compositional variants of an image for A/B testing, campaign variations, or iterative design.
Rapid Prototyping for Creatives: Quickly prototype visual concepts and motion ideas from prompts to explore creative directions before committing to full production.
Content Repurposing: Transform existing images into animated formats suitable for reels, ads, or dynamic website assets to increase content lifespan.
Image Repair and Enhancement: Use image-editing capabilities to retouch, adjust, or modify assets guided by textual instructions to meet project requirements.
Generating concept art and visual assets from text prompts for design and game development
Creating short promotional videos and social media content from prompts or images
Transforming and stylizing existing images for marketing and advertising
Rapid prototyping of visual ideas and storyboarding for video production
Image retouching and automated editing to accelerate creative workflows