Hy4 preview vs Meta AI: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Hy4 preview and Meta AI — 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.
Meta AI
Meta
A conversational assistant and image-generation tool by Meta, powered by Meta's Llama large language models.
Key features
- Conversational Assistant: Natural-language chat interface that answers questions, follows multi-turn dialogue, and helps users complete tasks through dialogue-driven prompts and responses.
- Free Image Generation: Built-in generative image capability that allows users to create AI-generated images at no cost from text prompts.
- Llama-Powered Models: Uses Meta's Llama family of large language models (including fine-tuned chat variants) to provide high-quality text generation and dialogue optimization.
- Knowledge & Question Answering: Provides concise answers and information retrieval across broad topics, leveraging model knowledge and document grounding where available.
- Multimodal Support: Integrates language and image generation features in a single tool, enabling users to create and interact with both text and visual outputs.
- Platform Integration & Potential App: Accessible via Meta's web presence and reported to be expanding into a standalone app, enabling broader integration with Meta services and devices.
- Conversational assistant for Q&A and task completion
- AI-generated images (including animations per some reports)
- Integration with Meta apps and services
- Built on Llama foundational models; developer access via AI Studio
- Multimodal and multilingual capabilities
- Free AI-generated image creation via web interface
- Built on Meta's Llama family (references to Llama 3 / Llama 2 materials)
- Real-time web-connected responses (community reporting indicates Bing-powered retrieval)
- Surfaceable across Meta products (web, Instagram integration referenced in security report)
- Model and inference materials available for download (Llama model weights and code distributed by Meta)
- Third-party/unofficial Python API wrappers exist (reverse-engineered clients providing programmatic access)
- Safety and acceptable-use policies governing model use (Llama Acceptable Use Policy referenced)
Best for
- Social Content Creation: Quickly generate unique images and companion captions for social posts, ads, or marketing assets without external design tools.
- Research and Q&A: Ask domain questions and receive concise, conversational answers useful for quick fact-finding, brainstorming, or learning.
- Drafting and Editing: Draft emails, messages, or creative text and iterate interactively with the assistant to refine tone and clarity.
- Multimodal Creative Workflows: Combine text prompts and image generation to prototype visual concepts, storyboards, or illustration ideas.
- Personal Productivity: Use the assistant to summarize information, generate checklists, or get step-by-step guidance for routine tasks.
- Integration with Meta Ecosystem: Use generated content and conversational outputs for faster posting, ad creative ideation, or integration with Meta-hosted apps and devices (reported expansion to standalone app).
- Personal virtual assistant for research, summaries and planning
- Generating AI images for creative content
- Integrating Llama models into apps via AI Studio for product features
- Customer support augmentation and content drafting
- Interactive conversational assistants for customer support and knowledge retrieval
- On-demand AI image generation for creative content
- Research and experimentation with large language models using downloadable Llama materials
- Integration into social and messaging experiences (e.g., Instagram group chat features noted in security research)
- Prototyping and multi-agent orchestration using frameworks that target Llama models