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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Microsoft-Decision-1 is an efficient decision-scoring model tailored for structured outputs, enabling immediate action by software systems. This model is crafted to facilitate various functions such as routing, classification, prioritization, verification, and workflow management across different applications, agents, and automated systems. Built upon post-training from Qwen3.5-9B, it specializes in single-pass decision scoring and provides calibrated probabilities for a fixed set of response options. It is equipped to handle yes/no questions, multiple-choice scenarios, ratings, and rubric-based evaluations of both AI-generated responses and agent activities through a structured API. Extensive evaluations conducted by Microsoft, spanning 36 benchmarks in areas like routing, ranking, long context comprehension, multilingual capabilities, and tasks beyond typical distributions, indicate that it achieved the highest accuracy alongside remarkably low latency. Furthermore, the model emphasizes robustness, with rigorous testing aimed at ensuring decision stability even when prompts are rephrased or altered. This focus on stability underscores its potential for consistent performance in real-world applications.

Description

Qwen3.6-Max-Preview represents an advanced frontier language model aimed at enhancing intelligence, following instructions, and improving real-world agent functionalities within the Qwen ecosystem. This preview builds upon the Qwen3 series, showcasing enhanced world knowledge, refined alignment with instructions, and notable advancements in coding performance for agents, which allows the model to adeptly manage intricate, multi-step tasks and software engineering processes. It is meticulously designed for scenarios requiring advanced reasoning and execution, where the model goes beyond merely generating responses to actively interacting with tools, processing lengthy contexts, and facilitating structured problem-solving in various fields such as coding, research, and enterprise operations. The architecture continues to embody the Qwen commitment to developing large-scale, high-efficiency models that can effectively manage extensive context windows while providing reliable performance across multilingual and knowledge-intensive projects. Moreover, its capabilities promise to significantly enhance productivity and innovation in diverse applications.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Alibaba Cloud Model Studio No 
Hermes Agent No 
Hugging Face No 
Microsoft Foundry Yes 
ModelScope No 
Ollama No 
OpenClaw No 
OpenRouter Yes 
Qwen No 
Qwen Studio No 
Qwen3.5 Yes 
Vercel AI Gateway No 

Integrations

Alibaba Cloud Model Studio Yes 
Hermes Agent Yes 
Hugging Face Yes 
Microsoft Foundry No 
ModelScope Yes 
Ollama Yes 
OpenClaw Yes 
OpenRouter No 
Qwen Yes 
Qwen Studio Yes 
Qwen3.5 No 
Vercel AI Gateway Yes 

Pricing Details

$0.042 per 1M tokens
Free Trial No 
Free Version No 

Pricing Details

Free
Open source
Free Trial Yes 
Free Version Yes 

Deployment

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

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook Yes 

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) No 
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

commandline.microsoft.com/microsoft-decision-1-model-foundry/

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

qwen.ai/blog

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