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Description

OpenGPT-X is an initiative based in Germany that is dedicated to creating large AI language models specifically designed to meet the needs of Europe, highlighting attributes such as adaptability, reliability, multilingual support, and open-source accessibility. This initiative unites various partners to encompass the full spectrum of the generative AI value chain, which includes scalable, GPU-powered infrastructure and data for training expansive language models, alongside model design and practical applications through prototypes and proofs of concept. The primary goal of OpenGPT-X is to promote innovative research with a significant emphasis on business applications, thus facilitating the quicker integration of generative AI within the German economic landscape. Additionally, the project places a strong importance on the ethical development of AI, ensuring that the models developed are both reliable and consistent with European values and regulations. Furthermore, OpenGPT-X offers valuable resources such as the LLM Workbook and a comprehensive three-part reference guide filled with examples and resources to aid users in grasping the essential features of large AI language models, ultimately fostering a deeper understanding of this technology. By providing these tools, OpenGPT-X not only supports the technical development of AI but also encourages responsible usage and implementation across various sectors.

Description

Qwen3.8-27B is a 27B-class open-weights model associated with Alibaba’s Qwen3.8 model family. Alibaba’s Qwen3.8 release positioned the broader family as a top-tier large language model system optimized for coding and professional cowork scenarios. Reports indicate that Qwen3.8-27B was planned to be released as open weights alongside Qwen3.8-Max, giving developers and researchers a more accessible option than the full Max-scale model. The model is designed for users who want strong AI capability in a smaller, more deployable package. Qwen3.8-27B can support workflows such as coding assistance, AI agents, research tasks, document analysis, data work, and self-hosted experimentation. The larger Qwen3.8-Max release is described as targeting coding, research, professional work, and multimodal tasks, and Qwen3.8-27B appears to serve builders who need a more practical model size for local or private infrastructure. QwenCloud documentation confirms that the Qwen3.8 generation includes modern capabilities such as thinking, function calling, built-in tools, and structured output for the Max model. Community discussion and third-party coverage also highlight interest in running Qwen3.8-27B through GGUF and local inference workflows. By combining open-weight accessibility, a 27B-class footprint, Qwen3.8-era capability, and developer-focused use cases, Qwen3.8-27B gives teams a practical model for coding and agentic experimentation.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Aleph Alpha
Alibaba Cloud
Alibaba Cloud Model Studio
Cline
ClinePass
Hermes Agent
Hugging Face
IONOS
Model Context Protocol (MCP)
ModelScope
Novita AI
Odysseus
Ollama
OpenClaw
Python
Qwen
Qwen Code
Qwen Studio
QwenCloud
WDR Learning Portal

Integrations

Aleph Alpha
Alibaba Cloud
Alibaba Cloud Model Studio
Cline
ClinePass
Hermes Agent
Hugging Face
IONOS
Model Context Protocol (MCP)
ModelScope
Novita AI
Odysseus
Ollama
OpenClaw
Python
Qwen
Qwen Code
Qwen Studio
QwenCloud
WDR Learning Portal

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
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

OpenGPT-X

Founded

2022

Country

Germany

Website

opengpt-x.de/

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

qwen.ai

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