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

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

Freemium

State-of-the-art image generation engine and searchable gallery for AI-generated images and prompts.

Prompt-Indexed Image Search: Search a large corpus of generated images by prompt text, keywords, and visual examples to quickly find relevant outputs and inspiration.
Prompt Library and Metadata: Expose original prompts alongside image metadata (model, seeds, settings) so users can inspect and reuse precise generation parameters.
API Access and Integrations: Programmatic access (used by community wrappers) enables integration into third-party tools, pipelines, and automation workflows.
Gallery Browsing and Visualization: Curated gallery views and browsing tools let users explore styles, compositions, and trending prompts for creative ideation.
Download and Export: Copy or export prompts and associated images to reuse or iterate in local generation workflows and design projects.
Inspiration and Discovery Tools: Surf collections and example outputs to discover new prompt patterns, styles, and visual approaches for rapid concept development.
Web-based searchable gallery of generated images and their prompts
Prompt discovery and browsing interface
Community GitHub repos for site assets and issue tracking
Unofficial programmatic access via community wrappers (e.g., Qewertyy/LexicaAPI Python wrapper)
Integration use-cases demonstrated: upscaling, anti-NSFW filtering, Telegram bots and other third-party tools
Public-facing site assets for an Android game (lexica.github.io) and related sharing/feature requests

Prompt Engineering and Optimization: Search for example prompts that produce desired visual traits, then adapt and iterate on them to refine model outputs.
Creative Concepting and Moodboards: Browse curated galleries to assemble visual references for concept art, storyboards, and design briefs.
Content Creation and Marketing Assets: Find or adapt image prompts to produce on-brand visuals for campaigns, social media, and advertising.
Tool and Pipeline Integration: Use the API (via wrappers) to programmatically fetch example images and prompts for automated workflows or apps.
Educational Demonstrations: Show concrete prompt→image examples to teach generative model behavior and prompt design techniques.
Dataset Exploration and Research: Collect prompt-image pairs as examples for analysis, benchmarking, or research into generative model outputs.
Discovering and iterating on image-generation prompts and styles
Programmatic search/retrieval of prompt+image pairs via community APIs/wrappers
Building image-processing pipelines (upscalers, moderation filters) that leverage indexed results
Integrating Lexica data into chatbots and social or news aggregation tools
Educational/demonstration use via the public website and Android game