Qwen 3 (Tongyi Qianwen): How to Choose from Alibaba's Open-Source Model Family
When choosing a Qwen 3 model, the key is not "bigger is better." What matters is how many parameters are actually activated per inference. Qwen3-30B-A3B has 30
When choosing a Qwen 3 model, the key is not "bigger is better." What matters is how many parameters are actually activated per inference. Qwen3-30B-A3B has 30 billion total parameters, but only about 3 billion are activated per token. In official tests it outperformed QwQ-32B, which activates 10 times as many parameters. So if you only have one consumer-grade graphics card, this is usually the first model to try, not the 32B dense model. Which Models Are in the Qwen 3 Family Qwen 3 is a series of open-source large language models released by Alibaba's Tongyi Qianwen (Qwen) team on April 29, 2025. All open weights are released under the Apache 2.0 license and can be used commercially. The family uses two architectures: dense models and Mixture-of-Experts (MoE) models. For the full release notes, see the official Qwen3 blog . Dense Models: 6 Sizes Qwen3-0.6B, 1.7B, 4B : 32K-token native context, suitable for inference on phones, Raspberry Pi, and in the browser. Qwen3-8B, 14B, 32B : 128K-token context. These are the most common sizes for local deployment and fine-tuning. MoE Models: 2 Sizes Qwen3-30B-A3B : 30B total parameters with 3B activated per inference. It runs at close to the speed of a 3B model with quality close to the 30B class. Qwen3-235B-A22B : The flagship open-source model, with 235B total parameters and 22B activated. It requires a multi-GPU server. The size of the pre-training data is the biggest difference between Qwen 3 and the previous generation. "Qwen3 was pre-trained on approximately 36 trillion tokens, twice the 18 trillion tokens used for Qwen2.5" (Source: Official Qwen Blog, April 2025) . It also "supports 119 languages and dialects" (Source: Official Qwen Blog, April 2025) , including Traditional Chinese and Southeast Asian languages such as Thai, Indonesian, and Vietnamese. Hybrid Thinking Mode: Two Ways to Use One Model The core design of Qwen 3 puts a "thinking mode" and a "non-thinking mode" into the same model, and the user decides each
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