[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"model-kimi-k2.7-code":3},[4],{"id":5,"aliases":6,"types":7,"pricing":10,"capabilities":15,"model_capabilities":22,"model_data":97},"kimi-k2.7-code",[5],[8,9],"openai","anthropic",{"flat_tokens":11},{"input_tokens":12,"output_tokens":13,"cache_read_tokens":14,"cache_write_tokens":12},"6.5","27","1.3",{"context_window":16,"max_output":17,"modalities":18},262144,65536,[19,20,21],"text","image","video",{"groups":23,"highlights":86,"overall":90,"scenario":93,"summary":95,"weakness":96},[24,62,77],{"items":25,"name":61},[26,32,37,41,46,50,54,58],{"detail":27,"method":28,"name":29,"samples":30,"score":31},"","主\u002F客观混合","智能体协同",7,40,{"detail":27,"method":33,"name":34,"samples":35,"score":36},"客观","代码生成",10,90,{"detail":27,"method":28,"name":38,"samples":39,"score":40},"代码理解与调试",12,33,{"detail":27,"method":42,"name":43,"samples":44,"score":45},"主观","创意写作",17,81,{"detail":27,"method":28,"name":47,"samples":48,"score":49},"信息检索 \u002F RAG",13,92,{"detail":27,"method":42,"name":51,"samples":52,"score":53},"长文本处理",3,95,{"detail":27,"method":33,"name":55,"samples":56,"score":57},"数学与科学推理",14,86,{"detail":27,"method":28,"name":59,"samples":35,"score":60},"多语言能力",89,"专项进阶能力",{"items":63,"name":76},[64,68,72],{"detail":27,"method":28,"name":65,"samples":66,"score":67},"通识知识",15,77,{"detail":27,"method":42,"name":69,"samples":70,"score":71},"文本理解",5,98,{"detail":27,"method":28,"name":73,"samples":74,"score":75},"逻辑推理",20,76,"通用基础能力",{"items":78,"name":85},[79,82],{"detail":27,"method":42,"name":80,"samples":81,"score":75},"幻觉控制",9,{"detail":27,"method":42,"name":83,"samples":56,"score":84},"指令遵循",84,"安全与合规能力",[87,88,89],{"name":69,"score":71},{"name":51,"score":53},{"name":47,"score":49},{"rating":91,"score":92},"良好",78,{"fit":92,"name":94},"代码研发 \u002F 内容创作","综合能力 78 分（良好）。优势集中在 文本理解（98%）、长文本处理（95%）、信息检索 \u002F RAG（92%）。相对短板为 代码理解与调试（33%）。适合 代码研发 \u002F 内容创作 等场景。在 代码理解与调试 类任务上建议结合人工复核或专项验证。",{"name":38,"note":27,"score":40},{"bars":98,"metrics":108,"recentAvailability":135,"summary":136},{"degraded":99,"down":100},[],[101,102,103,52,104,70,105,30,106,81,35,107,39],0,1,2,4,6,8,11,[109,112,115,119,123,127,131],{"label":110,"value":111},"完成率","93%",{"label":113,"value":114},"缓存命中率","2.6%",{"label":116,"unit":117,"value":118},"累计评测耗时","s","13333.0",{"label":120,"unit":121,"value":122},"Token 消耗","tokens","270,152",{"label":124,"unit":125,"value":126},"平均请求次数","次","1.1",{"label":128,"unit":129,"value":130},"TPM","tokens\u002Fmin","1,216",{"label":132,"unit":133,"value":134},"QPM","req\u002Fmin","0.7","93.29%",[137,140,143],{"label":138,"unit":117,"value":139},"延迟","26.0",{"label":141,"unit":129,"value":142},"吞吐量","1.22K",{"label":144,"unit":145,"value":146},"可用率","%","93.29"]