[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"model-kimi-k2.6":3},[4,142],{"id":5,"aliases":6,"types":7,"pricing":10,"capabilities":15,"model_capabilities":22,"model_data":94,"introduction":138,"description":139,"title_focus":140,"keyword_extras":141},"kimi-k2.6",[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","1.1",{"context_window":16,"max_output":17,"modalities":18},262144,65536,[19,20,21],"text","image","video",{"groups":23,"highlights":83,"overall":87,"scenario":90,"summary":92,"weakness":93},[24,59,73],{"items":25,"name":58},[26,32,37,41,46,49,53,56],{"detail":27,"method":28,"name":29,"samples":30,"score":31},"","主\u002F客观混合","智能体协同",7,13,{"detail":27,"method":33,"name":34,"samples":35,"score":36},"客观","代码生成",10,100,{"detail":27,"method":28,"name":38,"samples":39,"score":40},"代码理解与调试",12,24,{"detail":27,"method":42,"name":43,"samples":44,"score":45},"主观","创意写作",17,86,{"detail":27,"method":28,"name":47,"samples":31,"score":48},"信息检索 \u002F RAG",93,{"detail":27,"method":28,"name":50,"samples":51,"score":52},"长文本处理",3,57,{"detail":27,"method":33,"name":54,"samples":55,"score":48},"数学与科学推理",14,{"detail":27,"method":28,"name":57,"samples":35,"score":45},"多语言能力","专项进阶能力",{"items":60,"name":72},[61,65,68],{"detail":27,"method":28,"name":62,"samples":63,"score":64},"通识知识",15,76,{"detail":27,"method":42,"name":66,"samples":67,"score":48},"文本理解",5,{"detail":27,"method":28,"name":69,"samples":70,"score":71},"逻辑推理",20,64,"通用基础能力",{"items":74,"name":82},[75,79],{"detail":27,"method":42,"name":76,"samples":77,"score":78},"幻觉控制",9,83,{"detail":27,"method":42,"name":80,"samples":55,"score":81},"指令遵循",91,"安全与合规能力",[84,85,86],{"name":34,"score":36},{"name":66,"score":48},{"name":54,"score":48},{"rating":88,"score":89},"良好",74,{"fit":89,"name":91},"代码研发 \u002F 内容创作","Kimi K2.6在本轮能力评测中综合得分74，整体表现良好。其代码生成（100%）和文本理解（93%）表现突出，能够完成代码编写、函数实现和开发辅助，并分析文档语义、提取关键信息并处理复杂问答。对软件开发者和工程团队而言，它适合用于代码编写、代码库理解、重构调试等研发场景，解决在复杂代码任务中兼顾生成结果与上下文理解；数学与科学推理（93%）也为相关任务提供补充。不过，智能体协同（13%）相对较弱，在需要多步骤自主规划、连续工具调用或跨智能体协作的任务中，建议增加人工复核或专项验证。",{"name":29,"note":27,"score":31},{"bars":95,"metrics":101,"recentAvailability":127,"summary":128},{"degraded":96,"down":97},[],[98,99,100],0,1,2,[102,105,108,112,116,119,123],{"label":103,"value":104},"完成率","88%",{"label":106,"value":107},"缓存命中率","21.3%",{"label":109,"unit":110,"value":111},"累计评测耗时","s","27669.9",{"label":113,"unit":114,"value":115},"Token 消耗","tokens","324,381",{"label":117,"unit":118,"value":14},"平均请求次数","次",{"label":120,"unit":121,"value":122},"TPM","tokens\u002Fmin","703",{"label":124,"unit":125,"value":126},"QPM","req\u002Fmin","0.3","98.66%",[129,132,134],{"label":130,"unit":110,"value":131},"延迟","64.83",{"label":133,"unit":121,"value":122},"吞吐量",{"label":135,"unit":136,"value":137},"可用率","%","98.66","Kimi K2.6是一款侧重代码生成的模型，在代码理解与调试方面也有较好表现。它适合处理代码编写、重构与开发辅助，可作为相关业务流程中的理解、推理或生成能力底座。","Kimi K2.6具备代码生成、文本理解、数学与科学推理能力，可完成代码编写、函数实现和开发辅助，并支持文档分析、信息抽取和复杂问答。面向软件开发者和工程团队，适合代码编写、代码库理解、重构调试等研发；可通过 SilvaMux 统一 API 一键快速接入。","代码生成模型",[34,66],{"id":5,"aliases":143,"types":144,"pricing":145,"capabilities":147,"tier":150,"priority":99,"model_capabilities":151,"model_data":187,"introduction":138,"description":139,"title_focus":140,"keyword_extras":212},[5],[8,9],{"flat_tokens":146},{"input_tokens":12,"output_tokens":13,"cache_read_tokens":14,"cache_write_tokens":12},{"context_window":16,"released_at":148,"modalities":149},"2026-04-20",[19,20,21],"tune",{"groups":152,"highlights":180,"overall":184,"scenario":185,"summary":92,"weakness":186},[153,168,175],{"items":154,"name":58},[155,157,159,161,162,163,165,166],{"detail":27,"method":28,"name":29,"samples":30,"score":156},46,{"detail":27,"method":33,"name":34,"samples":35,"score":158},90,{"detail":27,"method":42,"name":38,"samples":39,"score":160},89,{"detail":27,"method":42,"name":43,"samples":44,"score":45},{"detail":27,"method":28,"name":47,"samples":31,"score":45},{"detail":27,"method":42,"name":50,"samples":51,"score":164},50,{"detail":27,"method":33,"name":54,"samples":55,"score":45},{"detail":27,"method":28,"name":57,"samples":35,"score":167},62,{"items":169,"name":72},[170,171,173],{"detail":27,"method":28,"name":62,"samples":63,"score":89},{"detail":27,"method":42,"name":66,"samples":67,"score":172},87,{"detail":27,"method":28,"name":69,"samples":70,"score":174},61,{"items":176,"name":82},[177,179],{"detail":27,"method":42,"name":76,"samples":77,"score":178},80,{"detail":27,"method":42,"name":80,"samples":55,"score":172},[181,182,183],{"name":34,"score":158},{"name":38,"score":160},{"name":66,"score":172},{"rating":88,"score":64},{"fit":64,"name":91},{"name":29,"note":27,"score":156},{"bars":188,"metrics":191,"recentAvailability":127,"summary":206},{"degraded":189,"down":190},[],[98,99,100],[192,194,196,198,200,202,204],{"label":103,"value":193},"98%",{"label":106,"value":195},"9.6%",{"label":109,"unit":110,"value":197},"12636.3",{"label":113,"unit":114,"value":199},"338,551",{"label":117,"unit":118,"value":201},"1.0",{"label":120,"unit":121,"value":203},"1,608",{"label":124,"unit":125,"value":205},"0.7",[207,209,211],{"label":130,"unit":110,"value":208},"41.09",{"label":133,"unit":121,"value":210},"1.61K",{"label":135,"unit":136,"value":137},[34,66]]