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What is Qwen3?

Qwen3, the latest large language model from the Qwen family, introduces a new level of flexibility and power for developers and researchers. With models ranging from the high-performance Qwen3-235B-A22B to the smaller Qwen3-4B, Qwen3 is engineered to excel across a variety of tasks, including coding, math, and natural language processing. The unique hybrid thinking modes allow users to switch between deep reasoning for complex tasks and fast, efficient responses for simpler ones. Additionally, Qwen3 supports 119 languages, making it ideal for global applications. The model has been trained on an unprecedented 36 trillion tokens and leverages cutting-edge reinforcement learning techniques to continually improve its capabilities. Available on multiple platforms, including Hugging Face and ModelScope, Qwen3 is an essential tool for those seeking advanced AI-powered solutions for their projects.

What is Phi-4?

Phi-4 is an innovative small language model (SLM) with 14 billion parameters, demonstrating remarkable proficiency in complex reasoning tasks, especially in the realm of mathematics, in addition to standard language processing capabilities. Being the latest member of the Phi series of small language models, Phi-4 exemplifies the strides we can make as we push the horizons of SLM technology. Currently, it is available on Azure AI Foundry under a Microsoft Research License Agreement (MSRLA) and will soon be launched on Hugging Face. With significant enhancements in methodologies, including the use of high-quality synthetic datasets and meticulous curation of organic data, Phi-4 outperforms both similar and larger models in mathematical reasoning challenges. This model not only showcases the continuous development of language models but also underscores the important relationship between the size of a model and the quality of its outputs. As we forge ahead in innovation, Phi-4 serves as a powerful example of our dedication to advancing the capabilities of small language models, revealing both the opportunities and challenges that lie ahead in this field. Moreover, the potential applications of Phi-4 could significantly impact various domains requiring sophisticated reasoning and language comprehension.

Media

Media

Integrations Supported

Hugging Face
LM-Kit.NET
Runpod
BaseRT
Baseten
C
C++
Elixir
ExecuTorch
HTML
JavaScript
Kaggle
Lorka
Nebius Token Factory
OpenClaw
Phala
Tinker
Visual Basic
kluster.ai

Integrations Supported

Hugging Face
LM-Kit.NET
Runpod
Azure Voice Live API

API Availability

API Availability

Pricing Information

Free
Open source
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwenlm.github.io/blog/qwen3/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

microsoft.com

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

Large Language Models

Not specified

Open-Weight AI Models

Not specified

Categories and Features

AI Models

Not specified

AI Reasoning Models

Not specified

Large Language Models

Not specified

Small Language Models

Not specified

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