Alibaba Qwen

Alibaba Qwen is a comprehensive open-weight model family with particularly strong multilingual capabilities, excelling in Chinese, Asian languages, and English. The Qwen family spans text, vision, code, audio, and math, making it one of the most versatile open model suites available.

Key use cases include:

• Multilingual and cross-lingual applications, especially Chinese/English
• Multimodal tasks with Qwen-VL (vision-language) models
• Code generation with Qwen-Coder models
• Mathematical reasoning with Qwen-Math
• Regional deployments in Asia-Pacific markets
• Self-hosted inference with competitive open-weight models

Qwen is used by developers targeting Asian markets or building multilingual products where Chinese language quality is critical. The Qwen2.5 series delivers performance competitive with Llama 3.1 and Mistral across benchmarks while offering superior CJK language support.

Models are available both through Alibaba Cloud's API and as open-weight downloads on Hugging Face.

1. Access via Alibaba Cloud Model Studio (DashScope API) by creating an account at alibabacloud.com and obtaining an API key.
2. For open-weight models, download from Hugging Face:

   # Using Ollama
   ollama run qwen2.5:72b
   
   # Using Transformers
   pip install transformers torch
   from transformers import AutoModelForCausalLM, AutoTokenizer
   model = AutoModelForCausalLM.from_pretrained('Qwen/Qwen2.5-72B-Instruct')

3. Also available through Together AI, Groq, and other third-party inference providers.

Pricing: Open-weight models are free (Apache 2.0 license). DashScope API pricing varies by model size. Third-party hosting typically charges $0.10-0.90/1M tokens depending on model variant.