Qwen 3

Overview

Qwen 3 is the latest iteration in the Qwen family of large language models, designed to enhance intelligence and accelerate the path towards AGI. It builds upon previous versions with improved performance and efficiency.

Main Purpose and Target User Group

The main purpose of Qwen 3 is to provide advanced AI capabilities for a wide range of applications, including coding, math, and general reasoning. The target user group includes developers, researchers, and businesses looking to leverage powerful large language models for various tasks.

Function Details, Operations, User Benefits, Compatibility, Integration, Access, and Activation Method

Qwen 3 comes in different model sizes, including the flagship Qwen3-235B-A22B and the smaller MoE model Qwen3-30B-A3B, as well as a tiny Qwen3-4B. These models are designed to perform complex tasks and offer competitive performance across various benchmarks. Users benefit from Qwen 3's enhanced performance in coding, math, and general capabilities, allowing for more efficient and accurate task completion. The availability of different model sizes provides flexibility to choose the best fit for specific needs and resources. Qwen 3 models are available on platforms like GitHub, Hugging Face, ModelScope, and Kaggle, indicating compatibility with popular AI development and deployment ecosystems. This facilitates integration into existing workflows and applications. Qwen 3 models can be accessed through platforms like GitHub, Hugging Face, ModelScope, and Kaggle.

What is Qwen 3?

Qwen 3 is the latest large language model in the Qwen family, designed to enhance intelligence and accelerate the path towards AGI. It includes flagship models like Qwen3-235B-A22B and smaller models such as Qwen3-30B-A3B and Qwen3-4B, demonstrating competitive performance across various benchmarks.

How does Qwen 3 compare to other AI models?

The flagship model, Qwen3-235B-A22B, achieves competitive results in coding, math, and general capabilities when compared to other top-tier models like DeepSeek-R1, o1, o3-mini, Grok-3, and Gemini-2.5-Pro. Smaller Qwen 3 models also show strong performance relative to their size.

Where can I try Qwen 3?

You can try Qwen 3 through Qwen Chat. Links to access the models are also available on platforms like GitHub, Hugging Face, ModelScope, and Kaggle.

What are the key features of the Qwen family of models?

The Qwen family includes various models with diverse capabilities, such as Qwen3 for general language tasks, QVQ-Max for visual reasoning, and Qwen2.5 Omni for comprehensive multimodal perception (text, images, audio, video).

Where can I find more information about Qwen 3 and other Qwen models?

You can find more information on the official Qwen website (https://qwenlm.github.io/), as well as on platforms like GitHub, Hugging Face, and ModelScope where the models are hosted. Technical documentation and papers are also available.

Where can I find support contact information for Qwen 3?

Please refer to the official Qwen website (https://qwenlm.github.io/) or the associated platforms (GitHub, Hugging Face, ModelScope) for support contact information.

How can I log in to Qwen 3?

Please refer to the Qwen Chat platform for login access: https://qwenlm.github.io/ (Click on "Try Qwen Chat").

How can I sign up for Qwen 3?

Please refer to the Qwen Chat platform for sign-up access: https://qwenlm.github.io/ (Click on "Try Qwen Chat").