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What is Trinity-Large-Thinking?

Trinity Large Thinking is a cutting-edge open-source reasoning framework developed by Arcee AI, specifically designed for tackling complex, multi-step problems and workflows that involve autonomous agents requiring extensive planning and diverse tool utilization. With an impressive sparse Mixture-of-Experts architecture, it encompasses around 400 billion parameters, activating about 13 billion for each token, which not only boosts its operational efficiency but also fortifies its reasoning capabilities across various tasks, such as mathematical computations, code generation, and thorough analysis. A significant innovation of this model is its capacity for extended chain-of-thought reasoning, enabling it to generate intermediate "thinking traces" prior to presenting final results, which significantly enhances accuracy and dependability in intricate scenarios. Additionally, Trinity Large Thinking supports a generous context window of up to 262K tokens, which empowers it to effectively handle lengthy documents, maintain context during extended interactions, and operate smoothly within continuous agent loops. This exemplary design showcases a firm commitment to advancing the limits of automated reasoning systems, paving the way for more sophisticated applications in the future. As technology evolves, the potential for further enhancements in reasoning models like this one remains vast and exciting.

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.

Media

Media

Integrations Supported

Claude Fable 5
Claude Fable 5.1
Claude Fable 5.5
Claude Haiku 5.5
Claude Mythos 5
Claude Mythos 5.1
Claude Opus 4.6
Claude Opus 4.7
Claude Opus 4.8
Claude Opus 5
Claude Opus 5.5
Claude Sonnet 5.5
OpenClaw
OpenRouter
Vercel AI Gateway
Visual Studio Code

Integrations Supported

Tencent Hy

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Arcee AI

Date Founded

2023

Company Location

United States

Company Website

www.arcee.ai/blog/trinity-large-thinking

Company Facts

Organization Name

Tencent

Date Founded

1998

Company Location

China

Company Website

hy.tencent.ai/research/hy4-preview

Categories and Features

AI Models

Not specified

AI Reasoning Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

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