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Description
CodeQwen serves as the coding counterpart to Qwen, which is a series of large language models created by the Qwen team at Alibaba Cloud. Built on a transformer architecture that functions solely as a decoder, this model has undergone extensive pre-training using a vast dataset of code. It showcases robust code generation abilities and demonstrates impressive results across various benchmarking tests. With the capacity to comprehend and generate long contexts of up to 64,000 tokens, CodeQwen accommodates 92 programming languages and excels in tasks such as text-to-SQL queries and debugging. Engaging with CodeQwen is straightforward—you can initiate a conversation with just a few lines of code utilizing transformers. The foundation of this interaction relies on constructing the tokenizer and model using pre-existing methods, employing the generate function to facilitate dialogue guided by the chat template provided by the tokenizer. In alignment with our established practices, we implement the ChatML template tailored for chat models. This model adeptly completes code snippets based on the prompts it receives, delivering responses without the need for any further formatting adjustments, thereby enhancing the user experience. The seamless integration of these elements underscores the efficiency and versatility of CodeQwen in handling diverse coding tasks.
Description
Qwen3.6-Plus is a state-of-the-art AI model designed to support real-world agentic applications, advanced coding, and multimodal reasoning. Developed by the Qwen team under Alibaba Cloud, it offers a significant upgrade over previous versions with improved performance across coding, reasoning, and tool usage tasks. The model features a 1 million token context window, enabling it to handle long and complex workflows with high accuracy. It excels in agentic coding scenarios, including debugging, repository-level problem solving, and automated development tasks. Qwen3.6-Plus integrates reasoning, memory, and execution into a unified system, allowing it to operate as a highly capable autonomous agent. Its multimodal capabilities enable it to process and analyze text, images, videos, and documents for deeper insights. The model supports real-time tool usage and long-horizon planning, making it ideal for enterprise and developer use cases. It is accessible via API through Alibaba Cloud Model Studio and integrates with popular coding tools and assistants. Developers can leverage features like preserved reasoning context to improve performance in multi-step tasks. Overall, Qwen3.6-Plus empowers businesses and developers to build intelligent, scalable, and autonomous AI-driven applications.
API Access
Has API
API Access
Has API
Integrations
Qwen Chat
Alibaba Cloud
Alibaba Cloud Model Studio
AtCoder
Code Llama
Codeforces
Conda
DeepSeek Coder
GPT-3.5
GPT-4
Integrations
Qwen Chat
Alibaba Cloud
Alibaba Cloud Model Studio
AtCoder
Code Llama
Codeforces
Conda
DeepSeek Coder
GPT-3.5
GPT-4
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
Alibaba
Founded
1999
Country
China
Website
github.com/QwenLM/CodeQwen1.5
Vendor Details
Company Name
Alibaba
Founded
1999
Country
China
Website
qwen.ai