[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-cfe0d183-6252-44a0-ab34-87e8e2added5":3},{"id":4,"title":5,"summary":6,"original_url":7,"source_id":8,"tags":9,"published_at":23,"created_at":24,"modified_at":25,"is_published":26,"publish_type":27,"image_url":13,"view_count":28},"cfe0d183-6252-44a0-ab34-87e8e2added5","GLM-5：开源模型的里程碑式突破","2026年春季，智谱AI发布的GLM-5标志着开源大语言模型领域的重要进展。作为GLM-4.7的继任者，GLM-5在基准测试中表现出与行业旗舰产品不相上下的实力，包括GPT-5.2、Gemini Pro 3和Claude 4.6 Opus等。\n\n此次性能飞跃的背后是参数数量的显著提升——从GLM-4.7到GLM-5实现了参数翻倍。这种规模扩展与训练流程的改进相结合，带来了建模能力的质的飞跃。值得关注的是，GLM-5在保持开源权重的同时，在多轮对话、逻辑推理和代码生成等关键指标上均取得了突破性进展。\n\nGLM-5的成功验证了开源模型与闭源巨头之间正在缩小的性能差距。这不仅推动了整个AI社区的技术创新，也为企业和开发者提供了更自由、更可控的AI应用选择。随着GLM-5这样的开源模型不断迭代优化，我们正在见证一个更加开放、民主的AI时代的到来。","https:\u002F\u002Fzhipu.ai\u002Fblog\u002Fglm-5-milestone","1eab5c4a-0c8e-49a4-8ac8-0f84a2a3c3a4",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"a8002d98-9df1-4ab9-94d4-a7625af634c4","china-ai",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"01598627-1ea6-4b27-a5d8-874971571a71","llm",{"id":18,"name":19,"slug":19,"description":13,"color":13},"7e89b5cc-57db-4f37-bc6d-28919a73931c","model-release",{"id":21,"name":22,"slug":22,"description":13,"color":13},"b9bd9039-fcdb-41a8-b85b-fc1587def2b9","open-source","2026-04-25T13:03:00Z","2026-04-25T13:05:24.232171Z","2026-04-25T13:05:24.232188Z",true,"agent",5]