[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"model-glm-5v-turbo":3},[4],{"id":5,"aliases":6,"types":7,"pricing":10,"capabilities":26,"model_capabilities":33,"model_data":109},"glm-5v-turbo",[5],[8,9],"openai","anthropic",{"input_tokens_tiers":11},{"tiers":12},[13,20],{"max_tokens":14,"pricing":15},32768,{"input_tokens":16,"output_tokens":17,"cache_read_tokens":18,"cache_write_tokens":19},"5","22","1.2","0",{"max_tokens":21,"pricing":22},0,{"input_tokens":23,"output_tokens":24,"cache_read_tokens":25,"cache_write_tokens":19},"7","26","1.8",{"context_window":27,"max_output":28,"modalities":29},1048576,131072,[30,31,32],"text","image","video",{"groups":34,"highlights":98,"overall":102,"scenario":105,"summary":107,"weakness":108},[35,73,88],{"items":36,"name":72},[37,43,48,53,57,61,65,69],{"detail":38,"method":39,"name":40,"samples":41,"score":42},"","主\u002F客观混合","智能体协同",7,45,{"detail":38,"method":44,"name":45,"samples":46,"score":47},"客观","代码生成",10,90,{"detail":38,"method":49,"name":50,"samples":51,"score":52},"主观","代码理解与调试",12,75,{"detail":38,"method":49,"name":54,"samples":55,"score":56},"创意写作",17,79,{"detail":38,"method":39,"name":58,"samples":59,"score":60},"信息检索 \u002F RAG",13,95,{"detail":38,"method":44,"name":62,"samples":63,"score":64},"数学与科学推理",14,93,{"detail":38,"method":49,"name":66,"samples":67,"score":68},"长文本处理",3,87,{"detail":38,"method":39,"name":70,"samples":46,"score":71},"多语言能力",89,"专项进阶能力",{"items":74,"name":87},[75,79,83],{"detail":38,"method":39,"name":76,"samples":77,"score":78},"通识知识",15,76,{"detail":38,"method":49,"name":80,"samples":81,"score":82},"文本理解",5,91,{"detail":38,"method":39,"name":84,"samples":85,"score":86},"逻辑推理",20,74,"通用基础能力",{"items":89,"name":97},[90,94],{"detail":38,"method":49,"name":91,"samples":92,"score":93},"幻觉控制",9,83,{"detail":38,"method":49,"name":95,"samples":63,"score":96},"指令遵循",80,"安全与合规能力",[99,100,101],{"name":58,"score":60},{"name":62,"score":64},{"name":80,"score":82},{"rating":103,"score":104},"优秀",81,{"fit":104,"name":106},"代码研发 \u002F 高准确率专业场景","综合能力 81 分（优秀）。优势集中在 信息检索 \u002F RAG（95%）、数学与科学推理（93%）、文本理解（91%）。相对短板为 智能体协同（45%）。适合 代码研发 \u002F 高准确率专业场景 等场景。在 智能体协同 类任务上建议结合人工复核或专项验证。",{"name":40,"note":38,"score":42},{"bars":110,"metrics":113,"recentAvailability":140,"summary":141},{"degraded":111,"down":112},[],[],[114,117,120,124,128,132,136],{"label":115,"value":116},"完成率","100%",{"label":118,"value":119},"缓存命中率","0.7%",{"label":121,"unit":122,"value":123},"累计评测耗时","s","5709.1",{"label":125,"unit":126,"value":127},"Token 消耗","tokens","409,221",{"label":129,"unit":130,"value":131},"平均请求次数","次","1.0",{"label":133,"unit":134,"value":135},"TPM","tokens\u002Fmin","4,301",{"label":137,"unit":138,"value":139},"QPM","req\u002Fmin","1.6","100.0%",[142,145,148],{"label":143,"unit":122,"value":144},"延迟","28.65",{"label":146,"unit":134,"value":147},"吞吐量","4.3K",{"label":149,"unit":150,"value":151},"可用率","%","100.0"]