[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"model-image-service-v2-claude-haiku-4-5":3,"text-service-v2-claude-haiku-4-5@snap":521},[4,196,278,358,439],{"id":5,"aliases":6,"types":8,"pricing_group":11,"pricing":12,"display_name":5,"tier":18,"model_capabilities":19,"model_capabilities_zh":92,"model_data":141,"introduction":184,"introduction_zh":185,"description":186,"description_zh":187,"title_focus":188,"title_focus_zh":189,"keyword_extras":190,"keyword_extras_zh":193},"claude-haiku-4-5",[7],"claude-haiku-4-5@snap",[9,10],"openai","anthropic","anthropic\u002Fclaude-snap",{"flat_tokens":13},{"input_tokens":14,"output_tokens":15,"cache_read_tokens":16,"cache_write_tokens":17},"1","5","0.1","1.25","snap",{"groups":20,"highlights":82,"overall":86,"scenario":88,"summary":90,"weakness":91},[21,60,74],{"items":22,"name":59},[23,29,34,38,43,47,51,55],{"detail":24,"method":25,"name":26,"samples":27,"score":28},"","Mixed","Agent Collaboration",18,48,{"detail":24,"method":30,"name":31,"samples":32,"score":33},"Objective","Code Generation",12,33,{"detail":24,"method":30,"name":35,"samples":36,"score":37},"Code Comprehension & Debugging",6,21,{"detail":24,"method":39,"name":40,"samples":41,"score":42},"Subjective","Creative Writing",22,26,{"detail":24,"method":25,"name":44,"samples":45,"score":46},"Information Retrieval \u002F RAG",9,56,{"detail":24,"method":39,"name":48,"samples":49,"score":50},"Long-Context Handling",16,62,{"detail":24,"method":30,"name":52,"samples":53,"score":54},"Math & Science Reasoning",14,66,{"detail":24,"method":39,"name":56,"samples":57,"score":58},"Multilingual Capability",11,71,"Advanced Capabilities",{"items":61,"name":73},[62,66,70],{"detail":24,"method":25,"name":63,"samples":64,"score":65},"General Knowledge",10,53,{"detail":24,"method":25,"name":67,"samples":68,"score":69},"Text Comprehension",23,65,{"detail":24,"method":25,"name":71,"samples":49,"score":72},"Logical Reasoning",55,"General Foundations",{"items":75,"name":81},[76,79],{"detail":24,"method":39,"name":77,"samples":78,"score":69},"Hallucination Control",15,{"detail":24,"method":39,"name":80,"samples":27,"score":50},"Instruction Following","Safety & Compliance",[83,84,85],{"name":56,"score":58},{"name":52,"score":54},{"name":67,"score":69},{"rating":87,"score":65},"待提升",{"fit":50,"name":89},"Content Moderation & Risk Control \u002F Translation & Localization \u002F Customer Support","Claude Haiku 4.5 scored 53 overall — capabilities are moderate overall, with clear room to improve. Multilingual capability (71%), math and science reasoning (66%) and text comprehension (65%) are its relative strengths, adequate for lightweight multilingual text work such as content moderation and support replies. Comparatively, code comprehension and debugging (21%) is markedly weak — coding tasks are effectively a blind spot. Best reserved for cost-sensitive, latency-critical text tasks.",{"name":35,"note":24,"score":37},{"groups":93,"highlights":132,"overall":136,"scenario":137,"summary":139,"weakness":140},[94,116,125],{"items":95,"name":115},[96,99,102,104,107,109,111,113],{"detail":24,"method":97,"name":98,"samples":27,"score":28},"主\u002F客观混合","智能体协同",{"detail":24,"method":100,"name":101,"samples":32,"score":33},"客观","代码生成",{"detail":24,"method":100,"name":103,"samples":36,"score":37},"代码理解与调试",{"detail":24,"method":105,"name":106,"samples":41,"score":42},"主观","创意写作",{"detail":24,"method":97,"name":108,"samples":45,"score":46},"信息检索 \u002F RAG",{"detail":24,"method":105,"name":110,"samples":49,"score":50},"长文本处理",{"detail":24,"method":100,"name":112,"samples":53,"score":54},"数学与科学推理",{"detail":24,"method":105,"name":114,"samples":57,"score":58},"多语言能力","专项进阶能力",{"items":117,"name":124},[118,120,122],{"detail":24,"method":97,"name":119,"samples":64,"score":65},"通识知识",{"detail":24,"method":97,"name":121,"samples":68,"score":69},"文本理解",{"detail":24,"method":97,"name":123,"samples":49,"score":72},"逻辑推理","通用基础能力",{"items":126,"name":131},[127,129],{"detail":24,"method":105,"name":128,"samples":78,"score":69},"幻觉控制",{"detail":24,"method":105,"name":130,"samples":27,"score":50},"指令遵循","安全与合规能力",[133,134,135],{"name":114,"score":58},{"name":112,"score":54},{"name":121,"score":69},{"rating":87,"score":65},{"fit":50,"name":138},"内容审核与风控 \u002F 翻译与本地化 \u002F 智能客服","Claude Haiku 4.5 综合得分 53，整体能力中等，有较大提升空间。多语言能力（71%）、数学与科学推理（66%）与文本理解（65%）是相对强项，可胜任内容审核、客服回复等轻量多语言文本工作。相对而言，代码理解与调试（21%）明显不足，代码类任务基本是盲区。适合预算敏感、对延迟敏感的文本类任务。",{"name":103,"note":24,"score":37},{"bars":142,"metrics":145,"recentAvailability":172,"summary":173},{"degraded":143,"down":144},[],[],[146,149,152,156,160,164,168],{"label":147,"value":148},"Completion Rate","100%",{"label":150,"value":151},"Cache Hit Rate","0.0%",{"label":153,"unit":154,"value":155},"Total Eval Time","s","1568.7",{"label":157,"unit":158,"value":159},"Token Usage","tokens","177,023",{"label":161,"unit":162,"value":163},"Avg. Requests","次","1.0",{"label":165,"unit":166,"value":167},"TPM","tokens\u002Fmin","6,771",{"label":169,"unit":170,"value":171},"QPM","req\u002Fmin","5.7","100.0%",[174,177,180],{"label":175,"unit":154,"value":176},"Latency","7.45",{"label":178,"unit":166,"value":179},"Throughput","6.77K",{"label":181,"unit":182,"value":183},"Availability","%","100.0","Claude Haiku 4.5 is Anthropic's small fast model for latency-sensitive code assistance, tool calls, support Q&A and text processing — built for products deploying agentic capability at scale.","Claude Haiku 4.5是Anthropic的小型快速模型，面向延迟敏感的代码辅助、工具调用、客服问答和文本处理任务，适合需要规模化部署智能体能力的产品。","Claude Haiku 4.5 handles coding, tool calls and text tasks with fast response and low cost, fitting high-concurrency agents and real-time applications. Integrate in one click via the SilvaMux unified API.","Claude Haiku 4.5以快速响应和较低成本处理编程、工具调用与文本任务，适合高并发智能体和实时应用。可通过 SilvaMux 统一 API 一键快速接入。","Fast-Response Model","快速响应模型",[191,192],"tool calls","real-time applications",[194,195],"工具调用","实时应用",{"id":5,"aliases":197,"types":199,"pricing_group":200,"pricing":201,"display_name":5,"tier":203,"model_capabilities":204,"model_capabilities_zh":232,"model_data":260,"introduction":184,"introduction_zh":185,"description":186,"description_zh":187,"title_focus":188,"title_focus_zh":189,"keyword_extras":276,"keyword_extras_zh":277},[198],"claude-haiku-4-5@lite",[9,10],"anthropic\u002Fclaude-lite",{"flat_tokens":202},{"input_tokens":14,"output_tokens":15,"cache_read_tokens":16,"cache_write_tokens":17},"lite",{"groups":205,"highlights":225,"overall":229,"scenario":230,"summary":90,"weakness":231},[206,216,221],{"items":207,"name":59},[208,209,210,211,212,213,214,215],{"detail":24,"method":25,"name":26,"samples":27,"score":28},{"detail":24,"method":30,"name":31,"samples":32,"score":33},{"detail":24,"method":30,"name":35,"samples":36,"score":37},{"detail":24,"method":39,"name":40,"samples":41,"score":42},{"detail":24,"method":25,"name":44,"samples":45,"score":46},{"detail":24,"method":39,"name":48,"samples":49,"score":50},{"detail":24,"method":30,"name":52,"samples":53,"score":54},{"detail":24,"method":39,"name":56,"samples":57,"score":58},{"items":217,"name":73},[218,219,220],{"detail":24,"method":25,"name":63,"samples":64,"score":65},{"detail":24,"method":25,"name":67,"samples":68,"score":69},{"detail":24,"method":25,"name":71,"samples":49,"score":72},{"items":222,"name":81},[223,224],{"detail":24,"method":39,"name":77,"samples":78,"score":69},{"detail":24,"method":39,"name":80,"samples":27,"score":50},[226,227,228],{"name":56,"score":58},{"name":52,"score":54},{"name":67,"score":69},{"rating":87,"score":65},{"fit":50,"name":89},{"name":35,"note":24,"score":37},{"groups":233,"highlights":253,"overall":257,"scenario":258,"summary":139,"weakness":259},[234,244,249],{"items":235,"name":115},[236,237,238,239,240,241,242,243],{"detail":24,"method":97,"name":98,"samples":27,"score":28},{"detail":24,"method":100,"name":101,"samples":32,"score":33},{"detail":24,"method":100,"name":103,"samples":36,"score":37},{"detail":24,"method":105,"name":106,"samples":41,"score":42},{"detail":24,"method":97,"name":108,"samples":45,"score":46},{"detail":24,"method":105,"name":110,"samples":49,"score":50},{"detail":24,"method":100,"name":112,"samples":53,"score":54},{"detail":24,"method":105,"name":114,"samples":57,"score":58},{"items":245,"name":124},[246,247,248],{"detail":24,"method":97,"name":119,"samples":64,"score":65},{"detail":24,"method":97,"name":121,"samples":68,"score":69},{"detail":24,"method":97,"name":123,"samples":49,"score":72},{"items":250,"name":131},[251,252],{"detail":24,"method":105,"name":128,"samples":78,"score":69},{"detail":24,"method":105,"name":130,"samples":27,"score":50},[254,255,256],{"name":114,"score":58},{"name":112,"score":54},{"name":121,"score":69},{"rating":87,"score":65},{"fit":50,"name":138},{"name":103,"note":24,"score":37},{"bars":261,"metrics":264,"recentAvailability":172,"summary":272},{"degraded":262,"down":263},[],[],[265,266,267,268,269,270,271],{"label":147,"value":148},{"label":150,"value":151},{"label":153,"unit":154,"value":155},{"label":157,"unit":158,"value":159},{"label":161,"unit":162,"value":163},{"label":165,"unit":166,"value":167},{"label":169,"unit":170,"value":171},[273,274,275],{"label":175,"unit":154,"value":176},{"label":178,"unit":166,"value":179},{"label":181,"unit":182,"value":183},[191,192],[194,195],{"id":5,"aliases":279,"types":280,"pricing_group":281,"pricing":282,"display_name":5,"model_capabilities":284,"model_capabilities_zh":312,"model_data":340,"introduction":184,"introduction_zh":185,"description":186,"description_zh":187,"title_focus":188,"title_focus_zh":189,"keyword_extras":356,"keyword_extras_zh":357},[5],[9,10],"anthropic\u002Fclaude",{"flat_tokens":283},{"input_tokens":14,"output_tokens":15,"cache_read_tokens":16,"cache_write_tokens":17},{"groups":285,"highlights":305,"overall":309,"scenario":310,"summary":90,"weakness":311},[286,296,301],{"items":287,"name":59},[288,289,290,291,292,293,294,295],{"detail":24,"method":25,"name":26,"samples":27,"score":28},{"detail":24,"method":30,"name":31,"samples":32,"score":33},{"detail":24,"method":30,"name":35,"samples":36,"score":37},{"detail":24,"method":39,"name":40,"samples":41,"score":42},{"detail":24,"method":25,"name":44,"samples":45,"score":46},{"detail":24,"method":39,"name":48,"samples":49,"score":50},{"detail":24,"method":30,"name":52,"samples":53,"score":54},{"detail":24,"method":39,"name":56,"samples":57,"score":58},{"items":297,"name":73},[298,299,300],{"detail":24,"method":25,"name":63,"samples":64,"score":65},{"detail":24,"method":25,"name":67,"samples":68,"score":69},{"detail":24,"method":25,"name":71,"samples":49,"score":72},{"items":302,"name":81},[303,304],{"detail":24,"method":39,"name":77,"samples":78,"score":69},{"detail":24,"method":39,"name":80,"samples":27,"score":50},[306,307,308],{"name":56,"score":58},{"name":52,"score":54},{"name":67,"score":69},{"rating":87,"score":65},{"fit":50,"name":89},{"name":35,"note":24,"score":37},{"groups":313,"highlights":333,"overall":337,"scenario":338,"summary":139,"weakness":339},[314,324,329],{"items":315,"name":115},[316,317,318,319,320,321,322,323],{"detail":24,"method":97,"name":98,"samples":27,"score":28},{"detail":24,"method":100,"name":101,"samples":32,"score":33},{"detail":24,"method":100,"name":103,"samples":36,"score":37},{"detail":24,"method":105,"name":106,"samples":41,"score":42},{"detail":24,"method":97,"name":108,"samples":45,"score":46},{"detail":24,"method":105,"name":110,"samples":49,"score":50},{"detail":24,"method":100,"name":112,"samples":53,"score":54},{"detail":24,"method":105,"name":114,"samples":57,"score":58},{"items":325,"name":124},[326,327,328],{"detail":24,"method":97,"name":119,"samples":64,"score":65},{"detail":24,"method":97,"name":121,"samples":68,"score":69},{"detail":24,"method":97,"name":123,"samples":49,"score":72},{"items":330,"name":131},[331,332],{"detail":24,"method":105,"name":128,"samples":78,"score":69},{"detail":24,"method":105,"name":130,"samples":27,"score":50},[334,335,336],{"name":114,"score":58},{"name":112,"score":54},{"name":121,"score":69},{"rating":87,"score":65},{"fit":50,"name":138},{"name":103,"note":24,"score":37},{"bars":341,"metrics":344,"recentAvailability":172,"summary":352},{"degraded":342,"down":343},[],[],[345,346,347,348,349,350,351],{"label":147,"value":148},{"label":150,"value":151},{"label":153,"unit":154,"value":155},{"label":157,"unit":158,"value":159},{"label":161,"unit":162,"value":163},{"label":165,"unit":166,"value":167},{"label":169,"unit":170,"value":171},[353,354,355],{"label":175,"unit":154,"value":176},{"label":178,"unit":166,"value":179},{"label":181,"unit":182,"value":183},[191,192],[194,195],{"id":5,"aliases":359,"types":361,"pricing_group":281,"pricing":362,"display_name":5,"tier":364,"model_capabilities":365,"model_capabilities_zh":393,"model_data":421,"introduction":184,"introduction_zh":185,"description":186,"description_zh":187,"title_focus":188,"title_focus_zh":189,"keyword_extras":437,"keyword_extras_zh":438},[360],"claude-haiku-4-5@260909",[10],{"flat_tokens":363},{"input_tokens":14,"output_tokens":15,"cache_read_tokens":16,"cache_write_tokens":17},"260909",{"groups":366,"highlights":386,"overall":390,"scenario":391,"summary":90,"weakness":392},[367,377,382],{"items":368,"name":59},[369,370,371,372,373,374,375,376],{"detail":24,"method":25,"name":26,"samples":27,"score":28},{"detail":24,"method":30,"name":31,"samples":32,"score":33},{"detail":24,"method":30,"name":35,"samples":36,"score":37},{"detail":24,"method":39,"name":40,"samples":41,"score":42},{"detail":24,"method":25,"name":44,"samples":45,"score":46},{"detail":24,"method":39,"name":48,"samples":49,"score":50},{"detail":24,"method":30,"name":52,"samples":53,"score":54},{"detail":24,"method":39,"name":56,"samples":57,"score":58},{"items":378,"name":73},[379,380,381],{"detail":24,"method":25,"name":63,"samples":64,"score":65},{"detail":24,"method":25,"name":67,"samples":68,"score":69},{"detail":24,"method":25,"name":71,"samples":49,"score":72},{"items":383,"name":81},[384,385],{"detail":24,"method":39,"name":77,"samples":78,"score":69},{"detail":24,"method":39,"name":80,"samples":27,"score":50},[387,388,389],{"name":56,"score":58},{"name":52,"score":54},{"name":67,"score":69},{"rating":87,"score":65},{"fit":50,"name":89},{"name":35,"note":24,"score":37},{"groups":394,"highlights":414,"overall":418,"scenario":419,"summary":139,"weakness":420},[395,405,410],{"items":396,"name":115},[397,398,399,400,401,402,403,404],{"detail":24,"method":97,"name":98,"samples":27,"score":28},{"detail":24,"method":100,"name":101,"samples":32,"score":33},{"detail":24,"method":100,"name":103,"samples":36,"score":37},{"detail":24,"method":105,"name":106,"samples":41,"score":42},{"detail":24,"method":97,"name":108,"samples":45,"score":46},{"detail":24,"method":105,"name":110,"samples":49,"score":50},{"detail":24,"method":100,"name":112,"samples":53,"score":54},{"detail":24,"method":105,"name":114,"samples":57,"score":58},{"items":406,"name":124},[407,408,409],{"detail":24,"method":97,"name":119,"samples":64,"score":65},{"detail":24,"method":97,"name":121,"samples":68,"score":69},{"detail":24,"method":97,"name":123,"samples":49,"score":72},{"items":411,"name":131},[412,413],{"detail":24,"method":105,"name":128,"samples":78,"score":69},{"detail":24,"method":105,"name":130,"samples":27,"score":50},[415,416,417],{"name":114,"score":58},{"name":112,"score":54},{"name":121,"score":69},{"rating":87,"score":65},{"fit":50,"name":138},{"name":103,"note":24,"score":37},{"bars":422,"metrics":425,"recentAvailability":172,"summary":433},{"degraded":423,"down":424},[],[],[426,427,428,429,430,431,432],{"label":147,"value":148},{"label":150,"value":151},{"label":153,"unit":154,"value":155},{"label":157,"unit":158,"value":159},{"label":161,"unit":162,"value":163},{"label":165,"unit":166,"value":167},{"label":169,"unit":170,"value":171},[434,435,436],{"label":175,"unit":154,"value":176},{"label":178,"unit":166,"value":179},{"label":181,"unit":182,"value":183},[191,192],[194,195],{"id":5,"aliases":440,"types":442,"pricing_group":443,"pricing":444,"display_name":5,"tier":446,"model_capabilities":447,"model_capabilities_zh":475,"model_data":503,"introduction":184,"introduction_zh":185,"description":186,"description_zh":187,"title_focus":188,"title_focus_zh":189,"keyword_extras":519,"keyword_extras_zh":520},[441],"claude-haiku-4-5@2601014",[10],"anthropic\u002Fclaude-yunshang-awsb",{"flat_tokens":445},{"input_tokens":14,"output_tokens":15,"cache_read_tokens":16,"cache_write_tokens":17},"2601014",{"groups":448,"highlights":468,"overall":472,"scenario":473,"summary":90,"weakness":474},[449,459,464],{"items":450,"name":59},[451,452,453,454,455,456,457,458],{"detail":24,"method":25,"name":26,"samples":27,"score":28},{"detail":24,"method":30,"name":31,"samples":32,"score":33},{"detail":24,"method":30,"name":35,"samples":36,"score":37},{"detail":24,"method":39,"name":40,"samples":41,"score":42},{"detail":24,"method":25,"name":44,"samples":45,"score":46},{"detail":24,"method":39,"name":48,"samples":49,"score":50},{"detail":24,"method":30,"name":52,"samples":53,"score":54},{"detail":24,"method":39,"name":56,"samples":57,"score":58},{"items":460,"name":73},[461,462,463],{"detail":24,"method":25,"name":63,"samples":64,"score":65},{"detail":24,"method":25,"name":67,"samples":68,"score":69},{"detail":24,"method":25,"name":71,"samples":49,"score":72},{"items":465,"name":81},[466,467],{"detail":24,"method":39,"name":77,"samples":78,"score":69},{"detail":24,"method":39,"name":80,"samples":27,"score":50},[469,470,471],{"name":56,"score":58},{"name":52,"score":54},{"name":67,"score":69},{"rating":87,"score":65},{"fit":50,"name":89},{"name":35,"note":24,"score":37},{"groups":476,"highlights":496,"overall":500,"scenario":501,"summary":139,"weakness":502},[477,487,492],{"items":478,"name":115},[479,480,481,482,483,484,485,486],{"detail":24,"method":97,"name":98,"samples":27,"score":28},{"detail":24,"method":100,"name":101,"samples":32,"score":33},{"detail":24,"method":100,"name":103,"samples":36,"score":37},{"detail":24,"method":105,"name":106,"samples":41,"score":42},{"detail":24,"method":97,"name":108,"samples":45,"score":46},{"detail":24,"method":105,"name":110,"samples":49,"score":50},{"detail":24,"method":100,"name":112,"samples":53,"score":54},{"detail":24,"method":105,"name":114,"samples":57,"score":58},{"items":488,"name":124},[489,490,491],{"detail":24,"method":97,"name":119,"samples":64,"score":65},{"detail":24,"method":97,"name":121,"samples":68,"score":69},{"detail":24,"method":97,"name":123,"samples":49,"score":72},{"items":493,"name":131},[494,495],{"detail":24,"method":105,"name":128,"samples":78,"score":69},{"detail":24,"method":105,"name":130,"samples":27,"score":50},[497,498,499],{"name":114,"score":58},{"name":112,"score":54},{"name":121,"score":69},{"rating":87,"score":65},{"fit":50,"name":138},{"name":103,"note":24,"score":37},{"bars":504,"metrics":507,"recentAvailability":172,"summary":515},{"degraded":505,"down":506},[],[],[508,509,510,511,512,513,514],{"label":147,"value":148},{"label":150,"value":151},{"label":153,"unit":154,"value":155},{"label":157,"unit":158,"value":159},{"label":161,"unit":162,"value":163},{"label":165,"unit":166,"value":167},{"label":169,"unit":170,"value":171},[516,517,518],{"label":175,"unit":154,"value":176},{"label":178,"unit":166,"value":179},{"label":181,"unit":182,"value":183},[191,192],[194,195],{"ttft":522,"tps":525,"e2e":528,"requests":531,"successfulRequests":532,"successRate":533,"availability":534},{"p50":523,"p95":524},2462,2472,{"p50":526,"p95":527},61,100,{"p50":529,"p95":530},8603,8989,87059,86454,"99.31",[535,535,535,535,535,535,535,536,535,535,535,535,535,535,535,535,535,535,535,535,535,535,535,535],"up","degraded"]