从Llama 3.2到Kimi-K2：一文看透2025年开源大模型架构的巅峰对决
2025年开源大模型呈现三大趋势：1）MoE架构成为主流，DeepSeek-V3（6710亿参数）与Qwen3-235B（2350亿参数）在专家系统设计上各具特色；2）中小模型突破性能瓶颈，SmolLM3-3B采用无位置编码技术，Qwen3-4B实现轻量高效；3）模型差异化明显，Llama3.2侧重通用任务，Kimi-K2（1万亿参数）在复杂推理表现突出。技术发展呈现参数高效化、训练数据规模化、架构创新化特点，推动AI应用门槛持续降低。
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