Phi vs. Qwen

Overview

Phi is a series of compact language models developed by Microsoft using high-quality synthetic data and curated web content. Phi-3 and Phi-3.5 (2024) significantly raised the bar for small models, with the 3.8B Phi-3 Mini matching much larger open-source models on key benchmarks.

Phi-1 and Phi-2 are 1.3B and 2.7B parameter language models, respectively, developed by Microsoft to demonstrate the ability of smaller language models trained on high-quality data. In April 2024, Phi-3 was released across Mini (3.8B), Small (7B), and Medium (14B) sizes. Phi-3 Mini achieves performance competitive with Llama 3 8B and Mistral 7B at a fraction of the compute, making it ideal for edge and constrained-resource deployments. Phi-3.5 Mini and MoE followed in August 2024 with further improvements.

Initial release: 2023-06-20

Reference

https://azure.microsoft.com/en-us/products/phi

Further Reading

• https://huggingface.co/microsoft/phi-2
• https://arxiv.org/abs/2306.11644
• https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
• https://huggingface.co/microsoft/Phi-3.5-mini-instruct

Overview

Qwen is Alibaba Cloud's family of large language models, including chat models, code models, and multimodal variants. Qwen 3 and QwQ are the latest releases, with strong reasoning capabilities.

Qwen (formerly Tongyi Qianwen) is a comprehensive family of large language models developed by Alibaba Cloud. The series includes base models, chat models, code-specific variants (CodeQwen), and multimodal models (Qwen-VL). Qwen models excel at multilingual tasks and have become particularly popular in Asia. The latest releases include Qwen 3 and QwQ (focused on reasoning), competing effectively with Western counterparts while offering strong Chinese language support.

Initial release: 2023-09-13

Reference

https://qwenlm.github.io/

Further Reading

• https://arxiv.org/abs/2309.16609
• https://huggingface.co/Qwen