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

A side-by-side comparison of Hy4 preview and PixAI — 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.

Free

Web-based generator for creating high-quality anime-style art and character templates quickly and with minimal artistic skill.

Prompt-Based Anime Generation: Create anime-style images from text prompts with controls for styles and composition to produce high-quality character and scene art.
Character Templates: Ready-made character templates and presets that accelerate creation of consistent characters and common anime archetypes.
JavaScript Client SDK: Official pixai-client-js library for programmatic image generation and integration into web apps, enabling developers to automate image creation.
Danbooru-Style Tagger Integration: Multi-label image classifier (pixai-tagger) that predicts Danbooru-style tags to help catalog, search, and filter generated or existing anime images.
Super-Resolution / Upscaling Support: Tools and third-party iOS workflows referenced for enlarging low-resolution images (reports of up to 16× improvement) to produce high-resolution final assets.
Batch and Fast Generation: Emphasis on speed and usability for producing multiple images quickly, positioned as a fast alternative for browsing and generating anime content.
Web-based anime image generator with templates and style controls
iOS super-resolution app capable of up to 16x image enlargement
Multi-label anime image classifier (pixai-tagger-v0.9) producing Danbooru-style tags
Fast, usability-focused interface aimed at quick iteration
Prebuilt character templates and tools to streamline character creation

Character Design for Visual Novels: Rapidly iterate on anime character concepts using templates and prompt variations to finalize designs for games or comics.
Asset Creation for Indie Games: Generate background characters, NPC portraits, and promotional art to populate 2D anime-style games with minimal artist overhead.
High-Resolution Print Assets: Upscale generated or legacy low-resolution anime images using PixAI-related super-resolution tools to prepare artwork for prints and merch.
Automated Tagging and Cataloging: Use the Danbooru-style tagger to label large image collections, improving searchability and dataset curation for creators and researchers.
Web App Integration: Embed image generation into web applications or creative tools via the official JavaScript client to offer on-demand art generation to end users.
Fan Art and Social Content: Quickly produce themed fan art, character variations, and social-media-ready anime images using presets and fast generation workflows.
Generate anime-style avatars, illustrations, and concept art
Upscale low-resolution anime images for printing or reuse
Automatically tag anime images for dataset curation or search
Rapidly prototype character designs using templates
Create social-media-ready anime artwork without drawing skills