Hy4 preview vs Textable: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Hy4 preview and Textable — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
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.
Textable
Unknown Developer
Generates a fully-fledged retro Teletext channel from a single prompt, producing hundreds of stylized teletext pages.
Key features
- Single-Prompt Channel Generation: Builds a complete Teletext channel or 'universe' starting from one user-provided prompt, automating the creation of interconnected pages.
- Bulk Page Generation: Produces hundreds of Teletext-style pages in a single run to populate a full channel without manual page-by-page effort.
- Retro Teletext Styling: Applies classic teletext visual characteristics—blocky text, constrained layout and palette choices—to recreate an authentic vintage look.
- Thematic Consistency: Generates cohesive content and layout across pages so that the resulting channel reads and looks like a unified publication.
- Rapid Prototyping for Creative Projects: Enables fast iteration and experimentation when designing nostalgia-driven media, art installations, or web mockups.
- Single-prompt generation of an entire Teletext channel
- Generates hundreds of Teletext-style pages per project
- Retro Teletext visual styling and layout generation
- Assembles pages into a coherent channel/universe
- Web-based access via official site (no API details provided)
- Designed for rapid large-scale content generation
Best for
- Creating a full retro Teletext channel for an art project or installation that needs authentic vintage broadcast aesthetics.
- Generating large volumes of stylized teletext pages for use as visual assets in web design, video sets, or promotional materials.
- Prototyping themed content and layouts quickly for media experiments or interactive exhibits that reference classic teletext.
- Producing cohesive nostalgia-driven publishing mockups or digital zines that require many interlinked pages with consistent styling.
- Supplying retro-styled content for marketing campaigns or social media that leverage vintage visual language to attract niche audiences.
- Creating nostalgic Teletext-themed digital art and galleries
- Generating UI/UX mockups or assets with retro styling for games and apps
- Producing themed content collections or microsites in Teletext format
- Rapid prototyping of multi-page retro layouts for creative projects
- Educational or demo materials demonstrating Teletext aesthetics
