[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"model-glm-4.7-Flash":3},[4],{"id":5,"aliases":6,"types":7,"pricing":10,"capabilities":13,"model_capabilities":18,"model_data":92},"glm-4.7-Flash",[5],[8,9],"openai","anthropic",{"flat_tokens":11},{"input_tokens":12,"output_tokens":12,"cache_read_tokens":12,"cache_write_tokens":12},"0",{"context_window":14,"max_output":15,"modalities":16},1048576,131072,[17],"text",{"groups":19,"highlights":81,"overall":85,"scenario":88,"summary":90,"weakness":91},[20,57,71],{"items":21,"name":56},[22,28,33,37,42,46,49,53],{"detail":23,"method":24,"name":25,"samples":26,"score":27},"","主\u002F客观混合","智能体协同",7,22,{"detail":23,"method":29,"name":30,"samples":31,"score":32},"客观","代码生成",10,99,{"detail":23,"method":24,"name":34,"samples":35,"score":36},"代码理解与调试",12,48,{"detail":23,"method":38,"name":39,"samples":40,"score":41},"主观","创意写作",17,73,{"detail":23,"method":24,"name":43,"samples":44,"score":45},"信息检索 \u002F RAG",13,75,{"detail":23,"method":24,"name":47,"samples":48,"score":40},"长文本处理",3,{"detail":23,"method":29,"name":50,"samples":51,"score":52},"数学与科学推理",14,71,{"detail":23,"method":24,"name":54,"samples":31,"score":55},"多语言能力",84,"专项进阶能力",{"items":58,"name":70},[59,62,66],{"detail":23,"method":24,"name":60,"samples":61,"score":41},"通识知识",15,{"detail":23,"method":38,"name":63,"samples":64,"score":65},"文本理解",5,86,{"detail":23,"method":24,"name":67,"samples":68,"score":69},"逻辑推理",20,64,"通用基础能力",{"items":72,"name":80},[73,77],{"detail":23,"method":24,"name":74,"samples":75,"score":76},"幻觉控制",9,53,{"detail":23,"method":24,"name":78,"samples":51,"score":79},"指令遵循",54,"安全与合规能力",[82,83,84],{"name":30,"score":32},{"name":63,"score":65},{"name":54,"score":55},{"rating":86,"score":87},"良好",63,{"fit":87,"name":89},"代码研发 \u002F 智能客服 \u002F 内容分析","综合能力 63 分（良好）。优势集中在 代码生成（99%）、文本理解（86%）、多语言能力（84%）。相对短板为 长文本处理（17%）。适合 代码研发 \u002F 智能客服 \u002F 内容分析 等场景。在 长文本处理 类任务上建议结合人工复核或专项验证。",{"name":47,"note":23,"score":40},{"bars":93,"metrics":114,"recentAvailability":141,"summary":142},{"degraded":94,"down":95},[],[96,97,98,48,99,64,100,26,101,75,31,102,35,44,51,61,103,40,104,105,68,106,27,107,108,109,110,111,112,113],0,1,2,4,6,8,11,16,18,19,21,23,24,25,26,27,28,29,[115,118,121,125,129,133,137],{"label":116,"value":117},"完成率","85%",{"label":119,"value":120},"缓存命中率","1.9%",{"label":122,"unit":123,"value":124},"累计评测耗时","s","15432.8",{"label":126,"unit":127,"value":128},"Token 消耗","tokens","991,111",{"label":130,"unit":131,"value":132},"平均请求次数","次","1.2",{"label":134,"unit":135,"value":136},"TPM","tokens\u002Fmin","3,853",{"label":138,"unit":139,"value":140},"QPM","req\u002Fmin","0.6","84.56%",[143,146,149],{"label":144,"unit":123,"value":145},"延迟","41.45",{"label":147,"unit":135,"value":148},"吞吐量","3.85K",{"label":150,"unit":151,"value":152},"可用率","%","84.56"]