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

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

BeFreed

Freemium

Personalized audio learning app that narrates top books and knowledge sources for faster, smarter learning.

Personalized Audio Narration: Converts top books, articles, and other knowledge sources into narrated audio tailored to individual users' preferences and listening pace.
Knowledge Visualizer: Generates 30-second explanatory videos from any input with AI-powered voiceover and concise topic descriptions for rapid concept digestion.
Multi-Source Summarization: Aggregates and distills insights from multiple reputable sources into concise lessons and summaries to speed learning.
Mobile Apps (iOS & Android): Native apps enable on-the-go access, quick downloads, and offline listening for commuting, travel, and daily routines.
Curated Learning Community: Access to a community-driven catalog of top knowledge sources and curated learning material to guide study and discovery.
AI-Powered Content Transformation: Transforms long-form content (books, articles) into audio-first lesson formats and short video explainers for varied learning styles.
Personalized audio narration of books, articles, and top knowledge sources
Knowledge Visualizer: converts any knowledge into 30-second explainer videos
AI-powered voiceover generation for video and audio content
Video topic description generation
Mobile apps available for iOS and Android for on-the-go learning
Curated learning community and personalized learning pathways
Transforms long-form content into concise audio/video summaries

Commuter Learning: Listen to personalized, narrated summaries of books and articles while commuting to maximize otherwise idle time.
Rapid Concept Review: Use 30-second Knowledge Visualizer videos to quickly review and recall key concepts before meetings or study sessions.
Book-to-Audio Conversion: Transform long-form books into concise audio lessons to extract and retain core ideas without reading the full text.
Mobile Study Sessions: Use iOS/Android apps for short, focused learning bursts during breaks or travel with offline playback.
Content Summarization for Creators: Convert research notes or articles into short explainer videos and narrated snippets for sharing or teaching.
Community-Guided Learning: Follow curated learning paths and top-source recommendations from the BeFreed community to structure study goals.
Commuter or mobile-first learners who want narrated summaries of books and articles
Creators producing short explainer videos from long-form content
Students and professionals needing quick topic overviews and audio study aids
Teams converting documentation or long articles into audio briefs
Content repurposing: turning written resources into shareable 30s videos

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.