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Description

Qwen-7B is the 7-billion parameter iteration of Alibaba Cloud's Qwen language model series, also known as Tongyi Qianwen. This large language model utilizes a Transformer architecture and has been pretrained on an extensive dataset comprising web texts, books, code, and more. Furthermore, we introduced Qwen-7B-Chat, an AI assistant that builds upon the pretrained Qwen-7B model and incorporates advanced alignment techniques. The Qwen-7B series boasts several notable features: It has been trained on a premium dataset, with over 2.2 trillion tokens sourced from a self-assembled collection of high-quality texts and codes across various domains, encompassing both general and specialized knowledge. Additionally, our model demonstrates exceptional performance, surpassing competitors of similar size on numerous benchmark datasets that assess capabilities in natural language understanding, mathematics, and coding tasks. This positions Qwen-7B as a leading choice in the realm of AI language models. Overall, its sophisticated training and robust design contribute to its impressive versatility and effectiveness.

Description

Qwen3.8 Max is a preview flagship model in Alibaba’s Qwen family, appearing publicly as Qwen3.8-Max-Preview on Alibaba Cloud Model Studio. The model is designed for developers and teams that need a high-capability AI system for reasoning, coding, agentic tasks, multimodal analysis, and productivity workflows. Alibaba Cloud’s Model Studio page says users can try Qwen3.8-Max-Preview through the latest Token Plan. Public reporting describes the model as a 2.4 trillion-parameter system and Alibaba’s first trillion-parameter multimodal Qwen model. Qwen3.8 Max is said to support text, images, video, and documents, making it relevant for applications that combine language, visual content, files, and workflow automation. It is also described as improving on Qwen3.7 Max for coding, full-stack development, data analysis, and office workflows. The broader Qwen ecosystem supports multilingual understanding, MCP, coding, structured data, image analysis, audio, video, and agentic tool use. Because Alibaba has not yet published every technical detail, developers should evaluate the preview carefully before relying on it for production. By combining large-scale model capacity, multimodal input, coding strength, and Alibaba Cloud deployment access, Qwen3.8 Max gives AI builders a new frontier model to test across complex application scenarios.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Alibaba Cloud
Hugging Face
ModelScope
Python
Qwen Studio
C
C#
CSS
Cline
F#
HTML
Hermes Agent
JavaScript
Julia
Model Context Protocol (MCP)
OfoxAI
PHP
Ruby
SQL
Sesterce

Integrations

Alibaba Cloud
Hugging Face
ModelScope
Python
Qwen Studio
C
C#
CSS
Cline
F#
HTML
Hermes Agent
JavaScript
Julia
Model Context Protocol (MCP)
OfoxAI
PHP
Ruby
SQL
Sesterce

Pricing Details

Free
Free Trial
Free Version

Pricing Details

$3 per 1M (input)
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

github.com/QwenLM/Qwen-7B

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

www.qwencloud.com

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