[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"model-glm-4.6":3},[4],{"id":5,"aliases":6,"types":7,"pricing":10,"capabilities":26,"model_capabilities":31,"model_data":104},"glm-4.6",[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},"3","14","0.6","0",{"max_tokens":21,"pricing":22},0,{"input_tokens":23,"output_tokens":24,"cache_read_tokens":25,"cache_write_tokens":19},"4","16","0.8",{"context_window":27,"max_output":28,"modalities":29},1048576,131072,[30],"text",{"groups":32,"highlights":93,"overall":97,"scenario":100,"summary":102,"weakness":103},[33,71,84],{"items":34,"name":70},[35,41,46,51,55,59,63,67],{"detail":36,"method":37,"name":38,"samples":39,"score":40},"","主\u002F客观混合","智能体协同",7,37,{"detail":36,"method":42,"name":43,"samples":44,"score":45},"客观","代码生成",10,80,{"detail":36,"method":47,"name":48,"samples":49,"score":50},"主观","代码理解与调试",12,76,{"detail":36,"method":47,"name":52,"samples":53,"score":54},"创意写作",17,78,{"detail":36,"method":37,"name":56,"samples":57,"score":58},"信息检索 \u002F RAG",13,89,{"detail":36,"method":47,"name":60,"samples":61,"score":62},"长文本处理",3,62,{"detail":36,"method":42,"name":64,"samples":65,"score":66},"数学与科学推理",14,93,{"detail":36,"method":37,"name":68,"samples":44,"score":69},"多语言能力",90,"专项进阶能力",{"items":72,"name":83},[73,76,80],{"detail":36,"method":37,"name":74,"samples":75,"score":50},"通识知识",15,{"detail":36,"method":47,"name":77,"samples":78,"score":79},"文本理解",5,92,{"detail":36,"method":37,"name":81,"samples":82,"score":50},"逻辑推理",20,"通用基础能力",{"items":85,"name":92},[86,90],{"detail":36,"method":47,"name":87,"samples":88,"score":89},"幻觉控制",9,74,{"detail":36,"method":47,"name":91,"samples":65,"score":45},"指令遵循","安全与合规能力",[94,95,96],{"name":64,"score":66},{"name":77,"score":79},{"name":68,"score":69},{"rating":98,"score":99},"良好",77,{"fit":99,"name":101},"代码研发 \u002F 信息检索 \u002F 企业知识库","综合能力 77 分（良好）。优势集中在 数学与科学推理（93%）、文本理解（92%）、多语言能力（90%）。相对短板为 智能体协同（37%）。适合 代码研发 \u002F 信息检索 \u002F 企业知识库 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":38,"note":36,"score":40},{"bars":105,"metrics":108,"recentAvailability":134,"summary":135},{"degraded":106,"down":107},[],[],[109,112,115,119,123,127,131],{"label":110,"value":111},"完成率","100%",{"label":113,"value":114},"缓存命中率","0.0%",{"label":116,"unit":117,"value":118},"累计评测耗时","s","14481.4",{"label":120,"unit":121,"value":122},"Token 消耗","tokens","563,936",{"label":124,"unit":125,"value":126},"平均请求次数","次","1.0",{"label":128,"unit":129,"value":130},"TPM","tokens\u002Fmin","2,337",{"label":132,"unit":133,"value":18},"QPM","req\u002Fmin","100.0%",[136,139,142],{"label":137,"unit":117,"value":138},"延迟","42.21",{"label":140,"unit":129,"value":141},"吞吐量","2.34K",{"label":143,"unit":144,"value":145},"可用率","%","100.0"]