The Complete Qwen Guide: Every Model Explained (Qwen 3 & 3.5, 2026)

作者： Jakub Rusinowski · 最后更新： 2026年7月30日

The complete guide to Alibaba's Qwen: every model size explained across Qwen 3 and 3.5, thinking mode, MoE and Gated DeltaNet, native vision, 201 languages, which one fits your GPU, and how it compares to DeepSeek, Gemma and Llama.

• Table of contents
• What Qwen is and why it matters {#what-is-qwen}
• The Qwen family tree {#family-tree}
• Qwen 3 vs Qwen 3.5: what actually changed {#3-vs-35}
• The Qwen 3.5 lineup, size by size {#lineup}
• Thinking mode explained {#thinking-mode}
• Dense vs MoE: the architecture {#architecture}
• Multimodal: vision and 201 languages {#multimodal}

If you run open models locally, you will eventually run Qwen. Alibaba's family has quietly become the default recommendation for anyone with a consumer GPU — not because it wins one headline benchmark, but because it is the most complete open family available: sizes from a phone-friendly 0.8B up to frontier-class hundreds of billions, native vision, 201 languages, a genuine reasoning mode, one of the most permissive licenses in AI, and — crucially — a size that actually fits and runs fast on the hardware you own. This is the complete guide to Qwen. We will trace the family from Qwen 2.5 throug…

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