📄 中文摘要
2026年春季，多个开放权重大型语言模型（LLM）相继发布，展现出不同的架构和性能。这些模型在自然语言处理、生成文本和理解上下文等方面展现了显著的进步。文章对10种新发布的LLM进行了全面的比较，包括它们的架构设计、训练数据集、性能评估以及应用场景。通过对比分析，揭示了各模型的优势和局限性，为研究人员和开发者在选择合适的LLM时提供了参考。整体来看，这些开放权重模型的发布标志着AI技术的进一步发展，推动了智能应用的创新。
开放权重大型语言模型的春天梦想：2026年1-2月的10种架构
📄 English Summary
A Dream of Spring for Open-Weight LLMs: 10 Architectures from Jan-Feb 2026
In Spring 2026, several open-weight large language models (LLMs) were released, showcasing diverse architectures and performance improvements. These models demonstrated significant advancements in natural language processing, text generation, and contextual understanding. A comprehensive comparison of ten newly released LLMs was conducted, focusing on their architectural designs, training datasets, performance evaluations, and application scenarios. The comparative analysis revealed the strengths and limitations of each model, providing valuable insights for researchers and developers in selecting suitable LLMs. Overall, the release of these open-weight models signifies further progress in AI technology and fosters innovation in intelligent applications.