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Description

Aion 1.0 Plan is Microsoft's innovative local agentic reasoning framework for Windows that facilitates fully agentic workflows on devices without relying on cloud services or incurring per-token expenses. This model boasts an impressive 14 billion parameters and a context length of 32K, and it is integrated directly into Windows on compatible devices. In contrast to smaller on-device models that concentrate on basic text processing, Aion 1.0 Plan is specifically designed for local agentic reasoning, allowing applications to comprehend user intentions, utilize tools, manage files, and coordinate sub-agents directly on the device itself. It represents the latest evolution in Microsoft’s suite of on-device small language models, created for efficient local execution and signifying a shift from scalable text intelligence to more advanced local planning capabilities. Aion 1.0 Plan is a crucial component of Windows' overarching initiative to deliver “unmetered intelligence,” where cutting-edge models tackle the most complex challenges while local models provide ongoing, cost-effective agent workflows. Ultimately, this advancement reflects a significant leap forward in how users can interact with their devices, enhancing productivity and streamlining tasks in everyday computing.

Description

Trinity Large Thinking is an innovative open-source reasoning model crafted by Arcee AI, tailored for intricate, multi-step problem solving and workflows involving autonomous agents that necessitate extended planning and the use of various tools. This model features a sparse Mixture-of-Experts architecture, boasting a remarkable total of around 400 billion parameters, with approximately 13 billion being active for each token, which enhances its efficiency while ensuring robust reasoning capabilities across a range of tasks, including mathematical calculations, code generation, and comprehensive analysis. A notable advancement in this model is its ability to perform extended chain-of-thought reasoning, which allows it to produce intermediate "thinking traces" prior to delivering final solutions, thereby boosting accuracy and reliability in complex situations. Furthermore, Trinity Large Thinking accommodates a substantial context window of up to 262K tokens, allowing it to effectively process lengthy documents, retain context during prolonged interactions, and function seamlessly in continuous agent loops. This model's design reflects a commitment to pushing the boundaries of what automated reasoning systems can achieve.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

OpenClaw Yes 
Visual Studio Code Yes 
Claude Fable 5 No 
Claude Fable 5.1 No 
Claude Fable 5.5 No 
Claude Mythos 5 No 
Claude Mythos 5.1 No 
Claude Opus 4.6 No 
Claude Opus 4.7 No 
Claude Opus 4.8 No 
Claude Opus 5.5 No 
Claude Sonnet 5.5 No 
Git Yes 
GitHub Yes 
Microsoft Copilot Yes 
Model Context Protocol (MCP) Yes 
OpenRouter No 
PowerShell Yes 
Solara Yes 
Vercel AI Gateway No 

Integrations

OpenClaw Yes 
Visual Studio Code Yes 
Claude Fable 5 Yes 
Claude Fable 5.1 Yes 
Claude Fable 5.5 Yes 
Claude Mythos 5 Yes 
Claude Mythos 5.1 Yes 
Claude Opus 4.6 Yes 
Claude Opus 4.7 Yes 
Claude Opus 4.8 Yes 
Claude Opus 5.5 Yes 
Claude Sonnet 5.5 Yes 
Git No 
GitHub No 
Microsoft Copilot No 
Model Context Protocol (MCP) No 
OpenRouter Yes 
PowerShell No 
Solara No 
Vercel AI Gateway Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

blogs.windows.com/windowsdeveloper/2026/06/02/build-2026-furthering-windows-as-the-trusted-platform-for-development/

Vendor Details

Company Name

Arcee AI

Founded

2023

Country

United States

Website

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

Product Features

Product Features

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