Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Gemini Enterprise Agent Platform Reviews & Ratings
    961 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    11 Ratings
    Company Website
  • LM-Kit.NET Reviews & Ratings
    26 Ratings
    Company Website
  • Perplexity Pro Reviews & Ratings
    24 Ratings
    Company Website
  • RaimaDB Reviews & Ratings
    12 Ratings
    Company Website
  • LTX Reviews & Ratings
    181 Ratings
    Company Website
  • Canditech Reviews & Ratings
    109 Ratings
    Company Website
  • Buddy Punch Reviews & Ratings
    1,640 Ratings
    Company Website
  • JetBrains Junie Reviews & Ratings
    12 Ratings
    Company Website
  • Innoslate Reviews & Ratings
    91 Ratings
    Company Website

What is Qwen3.6-27B?

Qwen3.6-27B stands as an open-source, dense multimodal language model within the Qwen3.6 lineup, crafted to deliver exceptional capabilities in coding, reasoning, and workflows driven by agents, all while utilizing a streamlined parameter count of 27 billion. This model is distinguished by its performance, often surpassing or closely rivaling larger models on critical benchmarks, especially in tasks that involve agent-based coding. It operates in two distinct modes—thinking and non-thinking—allowing it to adjust the depth of its reasoning and the speed of its responses to align with the specific demands of various tasks. Furthermore, it accommodates a broad range of input formats, which includes text, images, and video, demonstrating its adaptability. As an integral part of the Qwen3.6 series, this model emphasizes practical functionality, reliability, and the boost of developer efficiency, drawing on feedback from the community and the practical needs of real-world applications. Its forward-thinking design not only addresses current user requirements but also foresees future developments in the realm of artificial intelligence, ensuring that it remains relevant and effective over time. Thus, Qwen3.6-27B represents a significant step forward in the evolution of language models, integrating innovative features that enhance user interaction and streamline workflows.

What is CodeQwen?

CodeQwen acts as the programming equivalent of Qwen, a collection of large language models developed by the Qwen team at Alibaba Cloud. This model, which is based on a transformer architecture that operates purely as a decoder, has been rigorously pre-trained on an extensive dataset of code. It is known for its strong capabilities in code generation and has achieved remarkable results on various benchmarking assessments. CodeQwen can understand and generate long contexts of up to 64,000 tokens and supports 92 programming languages, excelling in tasks such as text-to-SQL queries and debugging operations. Interacting with CodeQwen is uncomplicated; users can start a dialogue with just a few lines of code leveraging transformers. The interaction is rooted in creating the tokenizer and model using pre-existing methods, utilizing the generate function to foster communication through the chat template specified by the tokenizer. Adhering to our established guidelines, we adopt the ChatML template specifically designed for chat models. This model efficiently completes code snippets according to the prompts it receives, providing responses that require no additional formatting changes, thereby significantly enhancing the user experience. The smooth integration of these components highlights the adaptability and effectiveness of CodeQwen in addressing a wide range of programming challenges, making it an invaluable tool for developers.

Media

Media

Integrations Supported

Hugging Face
ModelScope
Ollama
Python
Qwen Chat
Alibaba Cloud
Alibaba Cloud Model Studio
AtCoder
Code Llama
Conda
DeepSeek Coder
GPT-3.5
GPT-4
LangChain
LeetCode
LlamaIndex
OpenClaw
PyTorch
Qwen3.6
StarCoder

Integrations Supported

Hugging Face
ModelScope
Ollama
Python
Qwen Chat
Alibaba Cloud
Alibaba Cloud Model Studio
AtCoder
Code Llama
Conda
DeepSeek Coder
GPT-3.5
GPT-4
LangChain
LeetCode
LlamaIndex
OpenClaw
PyTorch
Qwen3.6
StarCoder

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwen.ai/blog

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

github.com/QwenLM/CodeQwen1.5

Popular Alternatives

Popular Alternatives

CodeGemma Reviews & Ratings

CodeGemma

Google
MiMo-V2-Flash Reviews & Ratings

MiMo-V2-Flash

Xiaomi Technology
Qwen-7B Reviews & Ratings

Qwen-7B

Alibaba
Qwen3.5 Reviews & Ratings

Qwen3.5

Alibaba
Qwen2.5-Max Reviews & Ratings

Qwen2.5-Max

Alibaba
Qwen3.6 Reviews & Ratings

Qwen3.6

Alibaba
Qwen2 Reviews & Ratings

Qwen2

Alibaba