[{"data":1,"prerenderedAt":586},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"model-grok-4-5":9},{"tools":4,"reviews":5},78,26,{"tools":4,"reviews":5,"playbooks":7,"news":8},22,21,{"id":10,"title":11,"apiCompatible":12,"benchmarks":15,"body":25,"category":551,"contextWindow":552,"cover":553,"description":554,"extension":555,"lastVerified":553,"maxOutput":556,"meta":557,"navigation":221,"path":558,"pricing":559,"published":560,"relatedTools":561,"releaseDate":564,"seo":565,"slug":566,"stem":567,"strengths":568,"updated":560,"useCases":574,"vendor":579,"vendorEn":579,"weaknesses":580,"__hash__":585},"models\u002Fmodels\u002Fgrok-4-5.md","Grok 4.5",[13,14],"openai","xai",[16,19,22],{"name":17,"score":18},"DeepSWE Bench 1.0","超过 Opus 4.8",{"name":20,"score":21},"AA 编程智能体单任务成本","约 $2.49",{"name":23,"score":24},"能力定位","约等 Opus 4.7",{"type":26,"value":27,"toc":537},"minimark",[28,32,55,62,65,69,72,132,135,141,144,147,151,302,305,342,345,348,432,448,451,478,482,488,494,500,503,533],[29,30,31],"h2",{"id":31},"概述",[33,34,35,36,41,42,46,47,50,51,54],"p",{},"Grok 4.5 是 xAI 于 2026 年 7 月 8 日发布的新一代模型，也是 SpaceX 收购 ",[37,38,40],"a",{"href":39},"\u002Fcoding\u002Fide\u002Fcursor.html","Cursor"," 后的首个联合技术落地。它基于 V9 底座的 ",[43,44,45],"strong",{},"1.5T MoE","（较 Grok 4.3 提升约 3 倍），最高 ",[43,48,49],{},"500K 上下文","（可配置），支持视觉。最大特点是",[43,52,53],{},"用数万亿 token 的 Cursor 会话数据联合训练","，主攻编程与 Agent 场景。",[33,56,57,58,61],{},"它的核心卖点不是「跑分最高」，而是",[43,59,60],{},"性价比","：定价 $2\u002F$6，约为 Opus\u002FSol 级模型的一半，输出 80 TPS，同任务 token 消耗约为同级前沿模型的一半。",[29,63,64],{"id":64},"核心能力",[66,67,68],"h3",{"id":68},"性价比是主线",[33,70,71],{},"马斯克的原话:「性能还没到（别尬吹），但其实大多数任务并不需要那么高的性能。」这句话精准点出 2026 年的行业现实——当 Agent 任务的 token 账单成为企业采用 AI 的最大阻力时，「够用且便宜」比「最强」更有市场。",[73,74,75,91],"table",{},[76,77,78],"thead",{},[79,80,81,85,88],"tr",{},[82,83,84],"th",{},"模型",[82,86,87],{},"Input",[82,89,90],{},"Output",[92,93,94,111,122],"tbody",{},[79,95,96,101,106],{},[97,98,99],"td",{},[43,100,11],{},[97,102,103],{},[43,104,105],{},"$2",[97,107,108],{},[43,109,110],{},"$6",[79,112,113,116,119],{},[97,114,115],{},"GPT-5.6 Sol",[97,117,118],{},"$5",[97,120,121],{},"$30",[79,123,124,127,129],{},[97,125,126],{},"Claude Opus 4.7",[97,128,118],{},[97,130,131],{},"$25",[66,133,134],{"id":134},"成本实测参考",[33,136,137,138],{},"据 Artificial Analysis 编程智能体指数，Grok 4.5 每项任务成本约 $2.49,对比 Codex 中 GPT-5.5 的 $5.07、Claude Code 中 Fable 5 的 $11.80，成本优势显著。但同一指数也显示，其绝对能力低于 Claude Code 中的 Fable 5，与 Codex 中 GPT-5.5 大致持平。一句话:",[43,139,140],{},"赢在单位成本，而非绝对能力天花板。",[66,142,143],{"id":143},"不止编程",[33,145,146],{},"Grok 4.5 还能按自然语言构建多表关联 + 网络抓取的 Excel 模型、在 PPT 里原生绘制形状图表、写结构化 Word 文档，应用延伸到法律与金融服务。",[29,148,150],{"id":149},"api-调用示例","API 调用示例",[152,153,158],"pre",{"className":154,"code":155,"language":156,"meta":157,"style":157},"language-python shiki shiki-themes github-light github-dark","from openai import OpenAI\nclient = OpenAI(api_key=\"xai-...\", base_url=\"https:\u002F\u002Fapi.x.ai\u002Fv1\")\n\nresp = client.chat.completions.create(\n    model=\"grok-4.5\",\n    messages=[{\"role\": \"user\", \"content\": \"重构这段代码并加错误处理\"}],\n)\nprint(resp.choices[0].message.content)\n","python","",[159,160,161,180,216,223,234,248,281,286],"code",{"__ignoreMap":157},[162,163,166,170,174,177],"span",{"class":164,"line":165},"line",1,[162,167,169],{"class":168},"szBVR","from",[162,171,173],{"class":172},"sVt8B"," openai ",[162,175,176],{"class":168},"import",[162,178,179],{"class":172}," OpenAI\n",[162,181,183,186,189,192,196,198,202,205,208,210,213],{"class":164,"line":182},2,[162,184,185],{"class":172},"client ",[162,187,188],{"class":168},"=",[162,190,191],{"class":172}," OpenAI(",[162,193,195],{"class":194},"s4XuR","api_key",[162,197,188],{"class":168},[162,199,201],{"class":200},"sZZnC","\"xai-...\"",[162,203,204],{"class":172},", ",[162,206,207],{"class":194},"base_url",[162,209,188],{"class":168},[162,211,212],{"class":200},"\"https:\u002F\u002Fapi.x.ai\u002Fv1\"",[162,214,215],{"class":172},")\n",[162,217,219],{"class":164,"line":218},3,[162,220,222],{"emptyLinePlaceholder":221},true,"\n",[162,224,226,229,231],{"class":164,"line":225},4,[162,227,228],{"class":172},"resp ",[162,230,188],{"class":168},[162,232,233],{"class":172}," client.chat.completions.create(\n",[162,235,237,240,242,245],{"class":164,"line":236},5,[162,238,239],{"class":194},"    model",[162,241,188],{"class":168},[162,243,244],{"class":200},"\"grok-4.5\"",[162,246,247],{"class":172},",\n",[162,249,251,254,256,259,262,265,268,270,273,275,278],{"class":164,"line":250},6,[162,252,253],{"class":194},"    messages",[162,255,188],{"class":168},[162,257,258],{"class":172},"[{",[162,260,261],{"class":200},"\"role\"",[162,263,264],{"class":172},": ",[162,266,267],{"class":200},"\"user\"",[162,269,204],{"class":172},[162,271,272],{"class":200},"\"content\"",[162,274,264],{"class":172},[162,276,277],{"class":200},"\"重构这段代码并加错误处理\"",[162,279,280],{"class":172},"}],\n",[162,282,284],{"class":164,"line":283},7,[162,285,215],{"class":172},[162,287,289,293,296,299],{"class":164,"line":288},8,[162,290,292],{"class":291},"sj4cs","print",[162,294,295],{"class":172},"(resp.choices[",[162,297,298],{"class":291},"0",[162,300,301],{"class":172},"].message.content)\n",[29,303,304],{"id":304},"定价",[73,306,307,320],{},[76,308,309],{},[79,310,311,314,317],{},[82,312,313],{},"项目",[82,315,316],{},"标准",[82,318,319],{},"fast",[92,321,322,332],{},[79,323,324,326,329],{},[97,325,87],{},[97,327,328],{},"$2\u002FM",[97,330,331],{},"$4\u002FM",[79,333,334,336,339],{},[97,335,90],{},[97,337,338],{},"$6\u002FM",[97,340,341],{},"$18\u002FM",[33,343,344],{},"标准档已能满足多数编程需求;fast 档用于对延迟敏感的交互式场景。",[29,346,347],{"id":347},"与同档模型怎么选",[73,349,350,365],{},[76,351,352],{},[79,353,354,357,359,362],{},[82,355,356],{},"维度",[82,358,11],{},[82,360,361],{},"Claude Sonnet 5",[82,363,364],{},"GPT-5.6 Terra",[92,366,367,381,395,407,420],{},[79,368,369,372,375,378],{},[97,370,371],{},"单价",[97,373,374],{},"$2\u002F$6",[97,376,377],{},"$2\u002F$10（促销）",[97,379,380],{},"$2.50\u002F$15",[79,382,383,386,389,392],{},[97,384,385],{},"上下文",[97,387,388],{},"500K",[97,390,391],{},"1M",[97,393,394],{},"1.1M",[79,396,397,399,401,404],{},[97,398,23],{},[97,400,24],{},[97,402,403],{},"SWE-bench 85.2%",[97,405,406],{},"强",[79,408,409,412,415,418],{},[97,410,411],{},"Cursor 集成",[97,413,414],{},"原生默认",[97,416,417],{},"支持",[97,419,417],{},[79,421,422,425,428,430],{},[97,423,424],{},"国内可用",[97,426,427],{},"❌",[97,429,427],{},[97,431,427],{},[33,433,434,437,438,442,443,447],{},[43,435,436],{},"建议",":成本敏感、任务以工程为主、且用 Cursor 的团队，Grok 4.5 是极佳的默认低价选项;要更高绝对能力选 ",[37,439,441],{"href":440},"\u002Fmodels\u002Fclaude-sonnet-5.html","Sonnet 5"," 或 ",[37,444,446],{"href":445},"\u002Fmodels\u002Fgpt-5-6.html","GPT-5.6","。",[29,449,450],{"id":450},"避坑清单",[452,453,454,461,467,472],"ul",{},[455,456,457,460],"li",{},[43,458,459],{},"基准分不等于你项目的表现",":大规模采用前务必用自己的代码库实测。",[455,462,463,466],{},[43,464,465],{},"能力有天花板",":刁钻的复杂推理任务，Grok 4.5 不如 Sol\u002FFable 5,别硬上。",[455,468,469,471],{},[43,470,49],{},":百万上下文版本已预告但未 GA,超大 codebase 暂需分片。",[455,473,474,477],{},[43,475,476],{},"国内无直连",":走 xAI 控制台海外账号或中转。",[29,479,481],{"id":480},"faq","FAQ",[33,483,484,487],{},[43,485,486],{},"Q: Grok 4.5 适合什么团队?","\nA: 成本敏感、任务以工程编码为主、已在用 Cursor 的团队。它把「够用的能力」做到了同级一半的价格，是控制 Agent token 账单的利器。但对能力天花板要求极高的复杂任务，仍建议用 Sol\u002FOpus 兜底。",[33,489,490,493],{},[43,491,492],{},"Q: 它和 Cursor 是什么关系?","\nA: Grok 4.5 用数万亿 token 的 Cursor 会话数据训练，7-08 经 Cursor 发布，是 SpaceX 收购 Cursor 后的首个联合成果。它给了 Cursor 一个「自家便宜模型」的默认选项，降低对 Anthropic\u002FOpenAI 的依赖。",[33,495,496,499],{},[43,497,498],{},"Q: 上下文会扩到百万吗?","\nA: 马斯克已预告下周百万上下文版、月底 2T 参数版。当前 GA 版本最高 500K。",[29,501,502],{"id":502},"延伸阅读",[452,504,505,517,522],{},[455,506,507,508,510,511,510,513],{},"对比同档:",[37,509,361],{"href":440}," \u002F ",[37,512,446],{"href":445},[37,514,516],{"href":515},"\u002Fmodels\u002Fdeepseek-v4.html","DeepSeek V4",[455,518,519,520],{},"配套工具:",[37,521,40],{"href":39},[455,523,524,525,510,529],{},"相关资讯:",[37,526,528],{"href":527},"\u002Fnews\u002F2026\u002Fgrok-4-5-release.html","Grok 4.5 发布",[37,530,532],{"href":531},"\u002Fnews\u002F2026\u002Fspacex-acquires-cursor.html","SpaceX 收购 Cursor",[534,535,536],"style",{},"html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .s4XuR, html code.shiki .s4XuR{--shiki-default:#E36209;--shiki-dark:#FFAB70}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":157,"searchDepth":218,"depth":218,"links":538},[539,540,545,546,547,548,549,550],{"id":31,"depth":182,"text":31},{"id":64,"depth":182,"text":64,"children":541},[542,543,544],{"id":68,"depth":218,"text":68},{"id":134,"depth":218,"text":134},{"id":143,"depth":218,"text":143},{"id":149,"depth":182,"text":150},{"id":304,"depth":182,"text":304},{"id":347,"depth":182,"text":347},{"id":450,"depth":182,"text":450},{"id":480,"depth":182,"text":481},{"id":502,"depth":182,"text":502},"coding",500000,null,"xAI 2026 年 7 月 8 日发布的 Grok 4.5，1.5T MoE、最高 500K 上下文，用 Cursor 会话数据联合训练。定价 $2\u002F$6 约为同级一半，主打编程性价比。","md",64000,{},"\u002Fmodels\u002Fgrok-4-5","标准 $2\u002F$6 · fast $4\u002F$18","2026-07-20",[562,563],"coding\u002Fide\u002Fcursor","coding\u002Fapi\u002Fopenrouter","2026-07-08",{"title":11,"description":554},"grok-4-5","models\u002Fgrok-4-5",[569,570,571,572,573],"定价 $2\u002F$6，约为 Opus\u002FSol 级模型的一半，性价比突出","用数万亿 token 的 Cursor 会话数据联合训练，编程与 Agent 强","1.5T MoE，最高 500K 上下文，支持视觉","80 TPS 输出，同任务 token 消耗约为同级一半","DeepSWE Bench 1.0 上超过 Opus 4.8",[575,576,577,578],"成本敏感的工程编码任务","Cursor 内的默认低价模型","高频 Agent 调用（单位成本优先）","Excel 建模 \u002F 文档生成等办公场景","xAI",[581,582,583,584],"绝对能力天花板低于 Sol \u002F Fable 5（赢在单位成本非峰值）","国内无官方 API","500K 上下文低于 GPT-5.6 的 1.1M（百万版本预告中）","生态较新，第三方工具集成不如 OpenAI\u002FAnthropic 成熟","vmgJ7gcuAMR8BgSRdeHBLbiWuXbkIqMW6Lex0Q2DKEA",1784565434380]