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What is Hy4?

Hy4 preview is an innovative open-source Mixture-of-Experts model designed for numerous practical productivity applications, such as software development, office tasks, game creation, and scientific research. With an astounding 770 billion parameters and 49 billion activated per token, it features a remarkable 1 million-token context window, enabling it to adeptly handle extensive codebases, large sets of documents, and intricate multi-step operations. The model's architecture incorporates 78 layers that utilize Gated DeepSeek Sparse Attention and IndexCache for efficient sparse index reuse across layers, while identity Hyper-Connections are implemented to improve information flow within the model. Furthermore, a specialized Multi-Token Prediction layer supports speculative decoding, significantly boosting its performance. Hy4 preview is engineered to understand, strategize, troubleshoot, and verify complex engineering initiatives, all while delivering substantial advancements in the quality of front-end visuals and interaction design, ultimately serving as an essential tool for experts in a wide range of fields. This versatility makes it an outstanding choice for professionals seeking to enhance their productivity and efficiency in various projects.

What is GPT-6?

GPT-6 is an upcoming OpenAI model expected to become the next major generation in the GPT family, but it has not yet been officially released or documented as a public product. OpenAI’s current public model materials focus on the GPT-5.6 family, including GPT-5.6 Sol as the flagship model, GPT-5.6 Terra as a balanced option, and GPT-5.6 Luna as a cost-efficient model. Because GPT-6 has not been formally announced, there are no confirmed public details for its API model name, pricing, benchmark results, model card, system card, context window, modalities, safety profile, or availability. Any description of GPT-6 should therefore frame it as forthcoming rather than available today. Based on the trajectory of recent OpenAI models, GPT-6 is likely to target stronger reasoning, coding, professional knowledge work, scientific research, multimodal understanding, and agentic task execution. It may also extend OpenAI’s work on tools such as web search, file search, function calling, computer use, structured outputs, and long-context workflows. For enterprises, GPT-6 could become relevant for advanced internal copilots, AI agents, support automation, workflow orchestration, software development, document intelligence, and decision support. For developers, it may provide a more capable foundation for production AI applications that require reliability, tool use, reasoning depth, and scalable deployment. For researchers and technical teams, GPT-6 may support more complex analysis, code generation, experimentation, and multimodal problem solving. Until OpenAI publishes official details, teams should rely on GPT-5.6 and other documented OpenAI models for production planning. By describing GPT-6 as an upcoming model, teams can acknowledge OpenAI’s likely future direction while avoiding unsupported claims about capabilities or release details.

Media

Media

Integrations Supported

Augment Code
ChatGPT Health
ChatGPT Plus
Dessix
GPT-5.1-Codex-Max
Kotlin
Microsoft 365 Copilot
Microsoft 365 Copilot Chat
Microsoft Copilot Studio
Microsoft Foundry
Novelcrafter
PHP
Pi Agent
Rust
SQL
Scala
Solidity
Swift
Xcode
YAML

Integrations Supported

Augment Code
ChatGPT Health
ChatGPT Plus
Dessix
GPT-5.1-Codex-Max
Kotlin
Microsoft 365 Copilot
Microsoft 365 Copilot Chat
Microsoft Copilot Studio
Microsoft Foundry
Novelcrafter
PHP
Pi Agent
Rust
SQL
Scala
Solidity
Swift
Xcode
YAML

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Tencent

Date Founded

1998

Company Location

China

Company Website

hy.tencent.ai/research/hy4-preview

Company Facts

Organization Name

OpenAI

Date Founded

2015

Company Location

United States

Company Website

openai.com

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