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What is Qwen Code?

Qwen3-Coder is a sophisticated coding model available in multiple sizes, with its standout 480B-parameter Mixture-of-Experts variant (featuring 35B active parameters) capable of handling 256K-token contexts that can be expanded to 1M, showcasing superior performance in Agentic Coding, Browser-Use, and Tool-Use tasks, effectively competing with Claude Sonnet 4. The model undergoes a pre-training phase that utilizes a staggering 7.5 trillion tokens, of which 70% consist of code, alongside synthetic data improved from Qwen2.5-Coder, thereby boosting its coding proficiency and overall functionality. Its post-training phase benefits from extensive execution-driven reinforcement learning across 20,000 parallel environments, allowing it to tackle complex multi-turn software engineering tasks like SWE-Bench Verified without requiring test-time scaling. Furthermore, the open-source Qwen Code CLI, adapted from Gemini Code, enables the implementation of Qwen3-Coder in agentic workflows through customized prompts and function calling protocols, ensuring seamless integration with platforms like Node.js and OpenAI SDKs. This blend of powerful features and versatile accessibility makes Qwen3-Coder an invaluable asset for developers aiming to elevate their coding endeavors and streamline their workflows effectively. As a result, it serves as a pivotal resource in the rapidly evolving landscape of programming tools.

What is Microsoft-Decision-1?

Microsoft-Decision-1 is a highly effective decision-scoring model specifically designed for structured outputs, allowing software systems to take swift actions. This innovative model supports a range of functionalities including routing, classification, prioritization, verification, and workflow management, applicable across various applications, agents, and automated systems. Developed through post-training of Qwen3.5-9B, it excels in single-pass decision scoring and delivers calibrated probabilities for a defined set of response choices. The model is adept at addressing yes/no inquiries, multiple-choice situations, rating scales, and rubric-based assessments of AI-generated outputs and agent performances via a structured API. Comprehensive evaluations carried out by Microsoft across 36 benchmarks covering routing, ranking, long-context understanding, multilingual functions, and tasks outside conventional distributions demonstrate that it achieved top accuracy levels with impressively low latency. Additionally, the model places a strong emphasis on robustness, with extensive testing conducted to ensure decision-making stability even when prompts undergo rephrasing or modifications. This commitment to stability highlights its potential for delivering reliable performance in diverse real-world scenarios, making it a versatile tool for various industries.

Media

Media

Integrations Supported

Alibaba AI Coding Plan
Claude Fable 5.1
Claude Fable 5.5
Claude Haiku 5.5
Claude Mythos 5.1
Claude Opus 4.1
Claude Opus 4.6
Claude Opus 4.7
Claude Opus 5.5
Claude Sonnet 4.5
Claude Sonnet 4.6
Melaya
Qwen 4
Qwen2.5
Qwen3.8-27B
Qwen3.8-Max
Qwen3.8-Omni-Flash
Step 5 Preview
SuperBased

Integrations Supported

Microsoft Foundry

API Availability

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

$0.042 per 1M tokens

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Qwen

Date Founded

2023

Company Location

China

Company Website

github.com/QwenLM/qwen-code

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

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

Categories and Features

Agentic AI

Not specified

AI Coding Agents

Not specified

Categories and Features

AI Decision Models

Not specified

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