Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

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

Qwen 4 is the upcoming fourth-generation foundation model in Alibaba’s Qwen AI family. Alibaba publicly confirmed at its 2026 Apsara Conference that the model is currently being trained. The company has not yet released technical specifications, model weights, API access, pricing, benchmark results, or a launch date for Qwen 4. Its development forms part of Alibaba’s broader effort to advance foundation models capable of increasingly complex and long-horizon work. The Qwen team is also researching recursive self-improvement, in which models use empirical feedback to identify weaknesses, design experiments, evaluate results, and iteratively improve training processes. Alibaba demonstrated this approach with Qwen3.8-Max, which completed 33 automated optimization cycles during a month-long experiment and improved its Artificial Analysis score from 40 to 45. These experiments provide context for Alibaba’s model-development direction but do not establish specific Qwen 4 capabilities. Alibaba has additionally outlined Qwen 4.5 and Qwen 5 models that could eventually scale to between 5 trillion and 10 trillion parameters. Until Qwen 4 is released, its exact architecture, modalities, performance, deployment options, and licensing remain to be announced.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

Alibaba Cloud Model Studio No 
Cline No 
ClinePass No 
Happy Shrimp 1.0 No 
Hermes Agent No 
Microsoft Foundry Yes 
Model Context Protocol (MCP) No 
ModelScope No 
Novita AI No 
Odysseus No 
OfoxAI No 
Ollama No 
OpenClaw No 
OpenRouter Yes 
Python No 
Qwen No 
Qwen Code No 
Qwen Studio No 
Qwen3.5 Yes 
QwenCloud No 

Integrations

Alibaba Cloud Model Studio Yes 
Cline Yes 
ClinePass Yes 
Happy Shrimp 1.0 Yes 
Hermes Agent Yes 
Microsoft Foundry No 
Model Context Protocol (MCP) Yes 
ModelScope Yes 
Novita AI Yes 
Odysseus Yes 
OfoxAI Yes 
Ollama Yes 
OpenClaw Yes 
OpenRouter No 
Python Yes 
Qwen Yes 
Qwen Code Yes 
Qwen Studio Yes 
Qwen3.5 No 
QwenCloud Yes 

Pricing Details

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

Pricing Details

No price information available.
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 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

Product Features

Alternatives

Clef Reviews

Clef

Cloudflare

Alternatives

Qwen2 Reviews

Qwen2

Alibaba
Clef-flash Reviews

Clef-flash

Cloudflare
Qwen3.8-27B Reviews

Qwen3.8-27B

Alibaba
Solar Decide Reviews

Solar Decide

Upstage
Qwen3.8-Max Reviews

Qwen3.8-Max

Alibaba
Jev Reviews

Jev

TypeSafe AI
Qwen3.6 Reviews

Qwen3.6

Alibaba