[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"model-doubao-seed-2-1-turbo-260628":3},[4],{"id":5,"aliases":6,"types":7,"pricing":9,"capabilities":14,"model_capabilities":20,"model_data":93},"doubao-seed-2-1-turbo-260628",[5],[8],"volcengine\u002Fchat\u002Fv3",{"flat_tokens":10},{"input_tokens":11,"output_tokens":12,"cache_read_tokens":13,"cache_write_tokens":11},"3","15","0.6",{"released_at":15,"modalities":16},"2026-06-28",[17,18,19],"text","image","video",{"groups":21,"highlights":83,"overall":87,"scenario":89,"summary":91,"weakness":92},[22,59,73],{"items":23,"name":58},[24,30,35,39,44,48,52,56],{"detail":25,"method":26,"name":27,"samples":28,"score":29},"","主\u002F客观混合","智能体协同",7,36,{"detail":25,"method":31,"name":32,"samples":33,"score":34},"客观","代码生成",10,80,{"detail":25,"method":26,"name":36,"samples":37,"score":38},"代码理解与调试",12,78,{"detail":25,"method":40,"name":41,"samples":42,"score":43},"主观","创意写作",17,90,{"detail":25,"method":26,"name":45,"samples":46,"score":47},"信息检索 \u002F RAG",13,92,{"detail":25,"method":26,"name":49,"samples":50,"score":51},"长文本处理",3,32,{"detail":25,"method":31,"name":53,"samples":54,"score":55},"数学与科学推理",14,79,{"detail":25,"method":26,"name":57,"samples":33,"score":47},"多语言能力","专项进阶能力",{"items":60,"name":72},[61,65,68],{"detail":25,"method":26,"name":62,"samples":63,"score":64},"通识知识",15,76,{"detail":25,"method":40,"name":66,"samples":67,"score":47},"文本理解",5,{"detail":25,"method":26,"name":69,"samples":70,"score":71},"逻辑推理",20,70,"通用基础能力",{"items":74,"name":82},[75,79],{"detail":25,"method":40,"name":76,"samples":77,"score":78},"幻觉控制",9,86,{"detail":25,"method":40,"name":80,"samples":54,"score":81},"指令遵循",89,"安全与合规能力",[84,85,86],{"name":45,"score":47},{"name":66,"score":47},{"name":57,"score":47},{"rating":88,"score":64},"良好",{"fit":64,"name":90},"代码研发 \u002F 内容创作","综合能力 76 分（良好）。优势集中在 信息检索 \u002F RAG（92%）、文本理解（92%）、多语言能力（92%）。相对短板为 长文本处理（32%）。适合 代码研发 \u002F 内容创作 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":49,"note":25,"score":51},{"bars":94,"metrics":104,"recentAvailability":131,"summary":132},{"degraded":95,"down":96},[63],[97,98,99,50,100,67,101,28,102,77,33,103,37,46,54],0,1,2,4,6,8,11,[105,108,111,115,119,123,127],{"label":106,"value":107},"完成率","92%",{"label":109,"value":110},"缓存命中率","0.0%",{"label":112,"unit":113,"value":114},"累计评测耗时","s","35536.6",{"label":116,"unit":117,"value":118},"Token 消耗","tokens","880,750",{"label":120,"unit":121,"value":122},"平均请求次数","次","1.1",{"label":124,"unit":125,"value":126},"TPM","tokens\u002Fmin","1,487",{"label":128,"unit":129,"value":130},"QPM","req\u002Fmin","0.3","91.95%",[133,136,139],{"label":134,"unit":113,"value":135},"延迟","81.73",{"label":137,"unit":125,"value":138},"吞吐量","1.49K",{"label":140,"unit":141,"value":142},"可用率","%","91.95"]