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Description

d1 represents the inaugural decision model from Liquid AI, designed to provide answers to structured inquiries regarding a scenario through probabilities instead of generating textual responses. This model processes unstructured data, including text and images, alongside one or more questions in a single streamlined forward pass, delivering probabilities without producing output tokens. It accommodates three distinct question formats: noul for binary yes-or-no decisions, choice for selecting from various labels with associated probabilities, and score for assessing an input along an ordered scale using probability-based levels. Furthermore, d1 can evaluate multiple questions simultaneously within a single request, enhancing its utility in real-time decision-making processes. Liquid AI showcases d1 in various applications, including filtering support tickets, navigating code repositories, categorizing documents into intelligent folders, managing websites, condensing agent context, inspecting industrial components, and even engaging in gameplay from screenshots, illustrating its versatile capabilities. This model's ability to handle diverse data types and provide rapid responses indicates a significant advancement in decision-making technology.

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.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

OpenRouter Yes 
Claude Opus 5.5 Yes 
GPT-6.1 Sol Yes 
Hugging Face Yes 
Microsoft Foundry No 
Qwen3.5 No 
Vercel Yes 

Integrations

OpenRouter Yes 
Claude Opus 5.5 No 
GPT-6.1 Sol No 
Hugging Face No 
Microsoft Foundry Yes 
Qwen3.5 Yes 
Vercel No 

Pricing Details

Free
Free Trial Yes 
Free Version Yes 

Pricing Details

$0.042 per 1M tokens
Free Trial No 
Free Version 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 

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 Yes 
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

Liquid AI

Founded

2023

Country

United States

Website

www.liquid.ai/blog/d1-decision-model

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

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

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