Beatoven.ai vs Hy4 preview: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Beatoven.ai and Hy4 preview — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Beatoven.ai
Beatoven.ai
Royalty-free, mood-driven AI music generator for background tracks tailored to videos, podcasts and games.
Key features
- Mood-Based Composition: Generates music tailored to specified emotions or moods so creators can evoke particular feelings in their content.
- Royalty-Free Licensing: Outputs tracks intended for royalty-free use, allowing creators to use generated music in videos, podcasts, and games without additional licensing.
- API & SDK Access: Public API and SDK resources (public-api repo) enable programmatic composition, integration into apps, and automated music generation workflows after requesting an API key.
- Customizable Background Tracks: Allows creators to produce background music optimized for narrative media (video/podcast/game) with controls for style and suitability.
- Integration Examples & Docs: Public repository includes examples and documentation to help developers implement composition features into projects or pipelines.
- Emotion-Driven Styling: Focuses on crafting pieces that align with a content creator's intended emotional arc, useful for scoring scenes or transitions.
- Web-based music generation for videos, podcasts and games
- Mood-based composition controls to evoke specific emotions
- Royalty-free output suitable for commercial use (as advertised)
- Public API repository (Beatoven/public-api) containing docs, examples and SDK artifacts
- API key gated access — request key via signup or by contacting hello@beatoven.ai
- Example projects and SDK components provided in the public repository to help integration
- Presence on Hugging Face for community/model visibility
Best for
- Video Scoring: Generating background music tracks specifically tailored to the tone and pacing of short-form and long-form videos.
- Podcast Beds: Creating royalty-free ambient or thematic music for podcast intros, outros, and episode backgrounds.
- Game Audio: Producing loopable background music and mood-driven compositions for game levels, menus, or cutscenes.
- Embedded Generation via API: Integrating Beatoven.ai's composition API into content platforms or apps to provide on-demand music generation for user-created media.
- Content Production Workflows: Replacing stock libraries with custom, emotion-aligned music for marketing videos, social posts, and brand storytelling.
- Generate background music tracks for video content and social media
- Produce customizable music beds for podcasts and spoken-word productions
- Create adaptive soundtrack segments for games and interactive experiences
- Integrate music composition into production pipelines via API/SDK
- Prototype music-driven features using example code and SDKs from the public repo
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.