Qwen

Qwen3-235B is Alibaba Cloud's powerful LLM with Mixture-of-Experts (MoE) architecture: 235 billion total parameters, of which only 22 billion are active per request. The result is a model that delivers the quality of a large model but runs with the resource requirements of a small one — ideal for cost-efficient inference and self-hosting.

What makes Qwen particularly notable is the Apache 2.0 license — the most permissive of all open-source licenses. Unlike the Llama Community License (700M MAU limit) or even the MIT license of DeepSeek, Apache 2.0 has no restrictions whatsoever on commercial use. This makes Qwen the most straightforward open-source option for companies.

Qwen natively supports 29+ languages and is particularly strong with CJK languages (Chinese, Japanese, Korean) as well as European languages. Qwen2.5-Coder, the specialized coding variant, achieves strong HumanEval scores and competes with dedicated code models. For multilingual applications and international projects, Qwen offers the best balance of language quality and cost efficiency.

Self-hosting is possible even on consumer hardware thanks to the MoE architecture (quantized via Ollama or vLLM). Compared to Llama 4 (stronger in multimodal, larger context) and DeepSeek (stronger in pure text reasoning), Qwen positions itself as the most efficient all-rounder among MoE models — with the best cost efficiency per token.