{"id":115394,"date":"2026-10-12T03:17:16","date_gmt":"2026-10-11T19:17:16","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/115394.html"},"modified":"2026-10-12T03:17:16","modified_gmt":"2026-10-11T19:17:16","slug":"%e5%a4%a7%e6%a8%a1%e5%9e%8b%e7%a5%9e%e5%9d%9b%e4%b8%80%e5%a4%9c%e5%b4%a9%e5%a1%8c%ef%bc%9faa-%e6%99%ba%e8%83%bd%e6%8c%87%e6%95%b0-10-%e6%9c%88%e6%9c%80%e6%96%b0%e6%a6%9c%e5%8d%95%e6%a0%b8%e7%88%86","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/115394.html","title":{"rendered":"\u5927\u6a21\u578b\u795e\u575b\u4e00\u591c\u5d29\u584c\uff1fAA \u667a\u80fd\u6307\u6570 10 \u6708\u6700\u65b0\u699c\u5355\u6838\u7206\u7ea7\u6d17\u724c\uff1aClaude Opus 5.5 \u767b\u9876\u5c60\u699c\uff0c\u5f00\u6e90\u9ed1\u9a6c MiMo\/DeepSeek \u9006\u5929\u80cc\u523a\uff0c\u624b\u628a\u624b\u6559\u4f60\u81ea\u5efa\u4e09\u5c42\u52a8\u6001\u5206\u6d41\u4e2d\u67a2\uff08\u9644\u4e09\u5927\u7cfb\u7edf\u8de8\u5e73"},"content":{"rendered":"<p>\u6838\u5fc3\u9707\u64bc\u5bfc\u8bfb&#xff1a;\u5982\u679c\u8bf4\u8fc7\u53bb\u4e24\u5e74\u5927\u6a21\u578b\u9886\u57df\u7684\u2018\u8dd1\u5206\u4e92\u5439\u2019\u8ba9\u6240\u6709\u4f01\u4e1a\u67b6\u6784\u5e08\u548c\u4e2a\u4eba\u5f00\u53d1\u8005\u60a3\u4e0a\u4e86\u4e25\u91cd\u7684\u2018\u9009\u578b\u9ebb\u6728\u75c7\u2019&#xff0c;\u90a3\u4e48 2026 \u5e74 10 \u6708\u521d\u521a\u521a\u5237\u65b0\u51fa\u7089\u7684 Artificial Analysis (AA) \u667a\u80fd\u6307\u6570 v4.3.2&#xff0c;\u5219\u5982\u540c\u4e00\u9762\u4e0d\u8bb2\u60c5\u9762\u7684\u2018\u5de5\u4e1a\u7ea7\u7167\u5996\u955c\u2019&#xff0c;\u5f7b\u5e95\u51fb\u788e\u4e86\u4f20\u7edf\u5237\u699c\u7684\u906e\u7f9e\u5e03&#xff01;<\/p>\n<ul>\n<li>\u5dc5\u5cf0\u738b\u5ea7\u6613\u4e3b&#xff0c;Claude \u5e1d\u56fd\u5168\u7ebf\u5c60\u699c&#xff1a;Anthropic \u65d7\u4e0b\u65b0\u65d7\u8230 Claude Opus 5.5 (Max) \u4ee5\u60ca\u4eba\u7684 57.6 \u5206 \u5f3a\u52bf\u767b\u9876\u5168\u7403\u699c\u9996&#xff01;\u7d27\u968f\u5176\u540e\u7684\u662f\u6027\u4ef7\u6bd4\u5c60\u592b Claude Sonnet 5.5&#xff08;56.0 \u5206&#xff0c;210 tok\/s \u6781\u901f\u8f93\u51fa&#xff09;&#xff1b;\u521a\u521a\u4e8e 10 \u6708 7 \u65e5\u89e3\u7981\u7684 Claude Haiku 5.5 \u66f4\u4ee5 382.8 tok\/s \u7684\u9006\u5929\u541e\u5410\u548c $0.1\/$0.5 \u7684\u767d\u83dc\u4ef7&#xff0c;\u91cd\u5851\u4e86\u7aef\u4fa7\u8f7b\u91cf\u667a\u80fd\u5929\u82b1\u677f&#xff1b;<\/li>\n<li>\u95ed\u6e90\u5de8\u5934\u80f6\u7740\u4e0e\u5f00\u6e90\u5e73\u6743\u53cd\u6740&#xff1a;OpenAI \u6700\u65b0 GPT-6 Astra \u867d\u65a9\u83b7 52.7 \u5206&#xff0c;\u4f46\u9762\u5bf9 $10\/$50 \u7684\u9ad8\u6602\u8d26\u5355\u548c 46 tok\/s \u7684\u4f4e\u541e\u5410&#xff0c;\u6027\u4ef7\u6bd4\u9677\u9631\u6108\u53d1\u51f8\u663e&#xff1b;\u4e0e\u4e4b\u5f62\u6210\u9c9c\u660e\u5bf9\u6bd4\u7684\u662f&#xff0c;\u56fd\u4ea7\u5f00\u6e90\u751f\u6001\u8fce\u6765\u6838\u7206\u7ea7\u7a81\u7834\u2014\u2014\u5c0f\u7c73\u5f00\u6e90\u7684 MiMo-V2.6-Pro (46.3\u5206) \u51ed\u501f\u4ec5 $0.435\/$0.87 \u7684\u6210\u672c\u76f4\u903c\u751a\u81f3\u8d85\u8d8a\u4e86\u5305\u62ec Qwen3.8 Max \u5728\u5185\u7684\u8bf8\u591a\u95ed\u6e90\u5927\u4f5c&#xff0c;DeepSeek V4.1 Flash \u66f4\u662f\u4ee5 320 tok\/s \u72c2\u98d9\u7a81\u8fdb&#xff1b;<\/li>\n<li>\u5341\u7ef4\u5de5\u4e1a\u57fa\u51c6\u51fb\u7a7f\u2018\u5237\u699c\u5e7b\u89c9\u2019&#xff1a;\u62d2\u7edd\u5355\u4e00\u53e3\u8bed\u5316\u5237\u9898&#xff01;AA \u6307\u6570\u805a\u5408\u4e86 Terminal-Bench 4.0&#xff08;\u771f\u5b9e Linux \u7ec8\u7aef\u957f\u7a0b\u6392\u969c&#xff09;\u3001GDPval-AA v2.1&#xff08;\u771f\u5b9e\u4f01\u4e1a\u5546\u4e1a\u6295\u7814\u5efa\u6a21&#xff09;\u3001Humanity&#039;s Last Exam&#xff08;\u4eba\u7c7b\u524d\u6cbf\u76f2\u9898&#xff09;\u3001SciCode \u4e0e AA-Omniscience&#xff08;\u6297\u5e7b\u89c9\u771f\u503c\u60e9\u7f5a&#xff09;\u7b49 10 \u9879\u4e25\u82db\u8003\u573a&#xff1b;<\/li>\n<li>\u5c0f\u5b66\u751f\u79d2\u61c2\u7684\u751f\u6d3b\u5927\u6bd4\u65b9&#xff1a;\u672c\u6587\u7528\u2018\u4e0b\u697c\u4e70\u9171\u6cb9\u7684\u8f7b\u4fbf\u7535\u5355\u8f66 vs \u57ce\u5e02\u81ea\u9a7e\u901a\u52e4\u7eaf\u7535\u8f66 vs \u6469\u7eb3\u54e5\u96e8\u6218\u9876\u7ea7 F1 \u65b9\u7a0b\u5f0f\u2019\u7684\u751f\u52a8\u6bd4\u65b9&#xff0c;\u5e26\u4f60\u7a7f\u900f\u5927\u6a21\u578b\u2018\u5927\u70ae\u6253\u868a\u5b50\u2019\u7684\u6210\u672c\u9ed1\u6d1e\u4e0e\u9009\u578b\u6b7b\u7ed3&#xff1b;<\/li>\n<li>\u4f01\u4e1a\u7ea7\u7834\u5c40&#xff1a;\u4e09\u5c42\u52a8\u6001\u5206\u6d41\u4e2d\u67a2\u4e0e\u8de8\u5e73\u53f0\u5168\u81ea\u52a8\u5957\u4ef6&#xff1a;\u9488\u5bf9 Windows 11&#xff08;PowerShell 7&#xff09;\u3001Ubuntu 26.04&#xff08;Bash&#xff09; \u4e0e macOS 26&#xff08;Zsh&#xff09;&#xff0c;\u63d0\u4f9b\u539f\u751f\u7eaf\u51c0\u3001\u96f6\u7b2c\u4e09\u65b9\u5305\u4f9d\u8d56\u7684\u6a21\u578b\u8bc4\u6d4b\u4e0e OpenAI \u534f\u8bae\u517c\u5bb9\u7f51\u5173\u5957\u4ef6&#xff0c;\u540c\u65f6\u652f\u6301\u4eba\u5de5\u4e00\u952e\u6267\u884c\u4e0e AI Agent \u58f0\u660e\u5f0f\u9759\u9ed8\u914d\u7f6e\u3002<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261011191715-6acbe0bb611e0.webp\" alt=\"\u6280\u672f\u5168\u666f\u5c01\u9762\uff1aAA \u667a\u80fd\u6307\u6570 2026 \u9886\u519b\u5927\u6a21\u578b\u4e89\u9738\u4e0e\u4e09\u5c42\u8def\u7531\u4e2d\u67a2\u5168\u666f\u56fe\" \/><\/p>\n<hr \/>\n<h3>\u4e00\u3001\u95ee\u9898\u80cc\u666f&#xff1a;\u4e3a\u4ec0\u4e48\u4f20\u7edf LLM \u699c\u5355\u5f7b\u5e95\u5931\u771f&#xff1f;AA \u667a\u80fd\u6307\u6570\u6a2a\u7a7a\u51fa\u4e16\u7684\u201c\u7167\u5996\u955c\u201d\u6548\u5e94<\/h3>\n<p>\u5728\u8fc7\u53bb\u957f\u8fbe\u4e09\u5e74\u7684\u5927\u6a21\u578b\u519b\u5907\u7ade\u8d5b\u4e2d&#xff0c;\u5168\u7403\u79d1\u6280\u5708\u51e0\u4e4e\u88ab\u5404\u79cd\u773c\u82b1\u7f2d\u4e71\u7684 Benchmark \u5f7b\u5e95\u2018\u8f70\u70b8\u2019\u9ebb\u6728\u4e86\u3002\u4ece\u6700\u65e9\u671f\u7684 MMLU\u3001GSM8K \u5230 HumanEval&#xff0c;\u5404\u5927\u6a21\u578b\u5382\u5546\u5728\u53d1\u5e03\u4f1a\u4e0a\u7684 PPT \u6c38\u8fdc\u662f\u2018\u5168\u9762\u8d85\u8d8a\u7ade\u54c1\u3001\u5b9e\u73b0\u591a\u9879 SOTA\u2019\u3002\u7136\u800c&#xff0c;\u5f53\u5de5\u7a0b\u5e08\u548c\u4f01\u4e1a\u5ba2\u6237\u771f\u6b63\u628a\u6a21\u578b\u63a5\u5165\u751f\u4ea7\u73af\u5883\u65f6&#xff0c;\u8fce\u63a5\u4ed6\u4eec\u7684\u5f80\u5f80\u4e0d\u662f\u8bd7\u548c\u8fdc\u65b9&#xff0c;\u800c\u662f\u4e00\u8fde\u4e32\u4ee4\u4eba\u5d29\u6e83\u7684\u707e\u96be&#xff1a;<\/p>\n<ul>\n<li>\u6d4b\u8bd5\u96c6\u4e25\u91cd\u88ab\u6c61\u67d3\u4e0e\u8fc7\u62df\u5408&#xff1a;\u8bb8\u591a\u5728\u5355\u9009\u9898\u6216\u6807\u51c6\u5b66\u672f\u6570\u636e\u96c6\u4e0a\u62ff\u4e0b 95%&#043; \u9ad8\u5206\u7684\u6a21\u578b&#xff0c;\u4e00\u65e6\u8fdb\u5165\u771f\u5b9e\u4e1a\u52a1\u573a\u666f&#xff0c;\u8fde\u4e00\u6bb5\u5e26\u6709\u8f6c\u4e49\u7b26\u53f7\u7684 Bash \u811a\u672c\u90fd\u5199\u4e0d\u5bf9&#xff1b;<\/li>\n<li>\u4e0d\u8ba1\u6210\u672c\u7684\u2018\u63a8\u7406\u7b97\u529b\u5439\u6c14\u7403\u2019&#xff1a;\u90e8\u5206\u6a21\u578b\u4e3a\u4e86\u5728\u699c\u5355\u4e0a\u62d4\u5f97\u5934\u7b79&#xff0c;\u5728\u540e\u53f0\u5f3a\u884c\u5806\u53e0\u4e86\u51e0\u4e07\u4e2a Token \u7684\u601d\u7ef4\u94fe&#xff08;CoT&#xff09;&#xff0c;\u56de\u7b54\u4e00\u4e2a\u20181&#043;1 \u7b49\u4e8e\u51e0\u2019\u7684\u95ee\u9898\u7adf\u7136\u9700\u8981\u8017\u65f6 30 \u79d2\u3001\u8017\u8d44\u6570\u7f8e\u5206&#xff0c;\u5de5\u4e1a\u53ef\u7528\u6027\u8fd1\u4e4e\u4e3a\u96f6&#xff1b;<\/li>\n<li>\u4e8b\u5b9e\u6027\u5e7b\u89c9\u63a9\u76d6\u5728\u534e\u4e3d\u8f9e\u85fb\u4e4b\u4e0b&#xff1a;\u751f\u6210\u7684\u56de\u7b54\u770b\u4f3c\u5934\u5934\u662f\u9053\u3001\u5f15\u7ecf\u636e\u5178&#xff0c;\u5b9e\u5219\u5145\u6ee1\u4e86\u80e1\u7f16\u4e71\u9020\u7684\u865a\u5047\u5f15\u7528\u4e0e\u81f4\u547d\u903b\u8f91\u6f0f\u6d1e\u3002<\/li>\n<\/ul>\n<p>\u6b63\u662f\u5728\u8fd9\u79cd\u2018\u865a\u5047\u7e41\u8363\u4e0e\u5de5\u4e1a\u75db\u70b9\u4e25\u91cd\u8131\u8282\u2019\u7684\u5386\u53f2\u80cc\u666f\u4e0b&#xff0c;\u7531\u5168\u7403\u4e2d\u7acb\u72ec\u7acb\u8bc4\u6d4b\u673a\u6784\u6253\u9020\u7684 Artificial Analysis (AA) Intelligence Index \u8fc5\u901f\u5d1b\u8d77&#xff0c;\u6210\u4e3a\u7845\u8c37\u4e43\u81f3\u5168\u7403 AI \u5de5\u7a0b\u754c\u6700\u53d7\u656c\u91cd\u7684\u2018\u786c\u6838\u8bd5\u91d1\u77f3\u2019\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261011191715-6acbe0bb9cde2.webp\" alt=\"\u6743\u5a01\u699c\u5355\u5b9e\u5f55\uff1aArtificial Analysis \u667a\u80fd\u6307\u6570 v4.3.2 \u5b98\u65b9\u7efc\u5408\u8bc4\u6d4b\u57fa\u51c6\u6982\u89c8\" \/><\/p>\n<p>AA \u667a\u80fd\u6307\u6570\u7684\u6838\u5fc3\u4e0d\u540c\u4e4b\u5904\u5728\u4e8e&#xff1a;\u5b83\u7edd\u4e0d\u63a5\u53d7\u5382\u5546\u81ea\u6d4b\u7ed3\u679c&#xff0c;\u6240\u6709\u8bc4\u4f30\u5747\u5728\u53d7\u63a7\u9694\u79bb\u6c99\u7bb1\u4e2d\u7531 AA \u56e2\u961f\u72ec\u7acb\u8fd0\u884c&#xff1b;\u5b83\u5f7b\u5e95\u6452\u5f03\u4e86\u5355\u4e00\u7ef4\u5ea6\u7684\u5b66\u672f\u5355\u9009\u9898&#xff0c;\u8f6c\u800c\u6df1\u5ea6\u805a\u7126\u5728\u2018\u771f\u5b9e\u5de5\u5177\u6267\u884c\u3001\u7ecf\u6d4e\u4ef7\u503c\u4ea7\u51fa\u3001\u957f\u7a0b\u63a8\u7406\u4e0e\u4e8b\u5b9e\u6027\u771f\u503c\u2019\u56db\u5927\u5de5\u4e1a\u652f\u67f1\u4e0a\u3002<\/p>\n<hr \/>\n<h3>\u4e8c\u3001\u95ee\u9898\u8868\u73b0&#xff1a;\u8dd1\u5206\u865a\u9ad8\u4e0e\u6210\u672c\u9ed1\u6d1e&#xff01;2026 \u5e74\u5927\u6a21\u578b\u843d\u5730\u7684\u4e09\u5927\u81f4\u547d\u9635\u75db<\/h3>\n<p>\u7ed3\u5408\u5f53\u524d\u5404\u884c\u5404\u4e1a\u5728\u843d\u5730 AI Agent \u548c\u5927\u6a21\u578b\u4e2d\u67a2\u65f6\u7684\u771f\u5b9e\u53cd\u9988&#xff0c;\u76ee\u524d\u7684\u5de5\u7a0b\u56e2\u961f\u666e\u904d\u9677\u5165\u4e86\u4e09\u5927\u6838\u5fc3\u9635\u75db&#xff1a;<\/p>\n<h4>1. \u75db\u70b9\u4e00&#xff1a;\u5927\u70ae\u6253\u868a\u5b50 \u2014\u2014 \u2018\u9876\u914d\u5d07\u62dc\u2019\u5bfc\u81f4\u7684\u8d26\u5355\u96ea\u5d29<\/h4>\n<p>\u5f88\u591a\u6280\u672f\u56e2\u961f\u5728\u542f\u52a8 AI \u9879\u76ee\u65f6&#xff0c;\u5f80\u5f80\u51fa\u4e8e\u6c42\u7a33\u5fc3\u7406&#xff0c;\u4e00\u4e0a\u6765\u5c31\u5168\u91cf\u63a5\u5165\u5f53\u65f6\u58f0\u91cf\u6700\u5927\u3001\u4ef7\u683c\u6700\u6602\u8d35\u7684\u9876\u914d\u6a21\u578b&#xff08;\u4f8b\u5982 GPT-6 Astra \u6216 Claude Opus&#xff09;\u3002\u7136\u800c\u5728\u5b9e\u9645\u4e1a\u52a1\u4e2d&#xff0c;80% \u4ee5\u4e0a\u7684\u7528\u6237\u8bf7\u6c42\u4ec5\u4ec5\u662f\u2018\u610f\u56fe\u8bc6\u522b\u3001\u7b80\u5355\u7684\u5ba2\u670d\u5206\u7c7b\u3001\u7ed3\u6784\u5316 JSON \u63d0\u53d6\u6216\u57fa\u7840\u5bf9\u8bdd\u2019\u3002\u7528\u6bcf\u767e\u4e07 Token \u9ad8\u8fbe $50 \u7f8e\u5143\u7684\u8d85\u5927\u6a21\u578b\u53bb\u5904\u7406\u4e00\u53e5\u2018\u5e2e\u6211\u67e5\u4e00\u4e0b\u6628\u5929\u5317\u4eac\u7684\u5929\u6c14\u2019&#xff0c;\u65e0\u5f02\u4e8e\u5f00\u7740\u91cd\u578b\u822a\u6bcd\u53bb\u6cb3\u6c9f\u91cc\u6355\u9c7c&#xff0c;\u6708\u5e95\u8d26\u5355\u76f4\u63a5\u5bfc\u81f4\u4e1a\u52a1\u96be\u4ee5\u4e3a\u7ee7\u3002<\/p>\n<h4>2. \u75db\u70b9\u4e8c&#xff1a;\u901f\u5ea6\u6b7b\u9501 \u2014\u2014 \u590d\u6742\u573a\u666f\u4e0b\u7684\u2018\u65f6\u5ef6\u762b\u75ea\u2019<\/h4>\n<p>\u751f\u6210\u5f0f\u63a8\u7406\u867d\u7136\u806a\u660e&#xff0c;\u4f46\u5f80\u5f80\u4f34\u968f\u7740\u4ee4\u4eba\u7a92\u606f\u7684\u9ad8\u65f6\u5ef6\u3002\u5728\u9700\u8981\u591a\u667a\u80fd\u4f53&#xff08;Multi-Agent&#xff09;\u76f8\u4e92\u534f\u4f5c\u8c03\u7528\u7684\u573a\u666f\u4e0b&#xff0c;\u5982\u679c\u6bcf\u4e00\u8df3&#xff08;Hop&#xff09;\u90fd\u9700\u8981\u7b49\u5f85 10~20 \u79d2&#xff0c;\u4e00\u4e2a\u5305\u542b 5 \u8f6e\u4ea4\u4e92\u7684\u6392\u969c\u6d41\u6c34\u7ebf\u5c31\u9700\u8981\u82b1\u8d39\u4e24\u5206\u534a\u949f&#xff01;\u7528\u6237\u65e9\u5728\u9875\u9762\u524d\u6d41\u5931\u6b86\u5c3d\u3002\u6ca1\u6709\u9ad8\u541e\u5410&#xff08;Tokens\/s&#xff09;\u4e0e\u4f4e\u9996\u5b57\u65f6\u5ef6&#xff08;TTFT&#xff09;\u7684\u52a0\u6301&#xff0c;\u518d\u9ad8\u7684\u667a\u5546\u4e5f\u65e0\u6cd5\u843d\u5730\u3002<\/p>\n<h4>3. \u75db\u70b9\u4e09&#xff1a;\u80fd\u529b\u65ad\u5c42 \u2014\u2014 \u4ee3\u7801\u548c\u957f\u6587\u672c\u4e2d\u7684\u2018\u8106\u65ad\u6548\u5e94\u2019<\/h4>\n<p>\u5728\u7b80\u5355\u7684\u51e0\u767e\u884c\u4ee3\u7801\u4e2d\u8868\u73b0\u5c1a\u53ef\u7684\u6a21\u578b&#xff0c;\u4e00\u65e6\u9762\u5bf9\u6d89\u53ca Docker \u5bb9\u5668\u8c03\u8bd5\u3001Kubernetes \u914d\u7f6e\u5173\u8054\u3001\u590d\u6742\u7684 Linux \u6743\u9650\u7ba1\u63a7\u4e0e\u52a8\u6001\u73af\u5883\u53d8\u91cf\u7ec4\u5408\u65f6&#xff0c;\u4fbf\u9891\u7e41\u51fa\u73b0\u5de5\u5177\u6b7b\u5faa\u73af\u548c\u547d\u4ee4\u6ce8\u5165\u9519\u8bef\u3002\u6a21\u578b\u4e0d\u4ec5\u65e0\u6cd5\u89e3\u51b3\u95ee\u9898&#xff0c;\u53cd\u800c\u5728\u670d\u52a1\u5668\u4e0a\u7559\u4e0b\u4e86\u4e00\u5806\u534a\u6210\u54c1\u5783\u573e\u8fdb\u7a0b\u3002<\/p>\n<hr \/>\n<h3>\u4e09\u3001\u5341\u7ef4\u57fa\u51c6\u6df1\u5ea6\u5256\u6790&#xff1a;\u4ece TerminalBench \u5230 HLE&#xff0c;AA \u667a\u80fd\u6307\u6570 v4.3.2 \u5230\u5e95\u6d4b\u51fa\u4e86\u4ec0\u4e48&#xff1f;<\/h3>\n<p>2026 \u5e74 10 \u6708\u53d1\u5e03\u7684 AA Intelligence Index v4.3.2&#xff0c;\u901a\u8fc7\u7cbe\u5de7\u7684\u6570\u5b66\u52a0\u6743\u4e0e\u5f52\u4e00\u5316\u6a21\u578b&#xff0c;\u5c06\u5168\u7403\u9876\u7ea7\u6a21\u578b\u7684\u7efc\u5408\u80fd\u529b\u9ad8\u5ea6\u6d53\u7f29\u4e3a\u4e00\u4e2a\u53ef\u6a2a\u5411\u5bf9\u9f50\u7684\u7efc\u5408\u6307\u6570&#xff08;AA Index&#xff09;\u3002\u8fd9\u4e00\u6307\u6570\u5e95\u5c42\u7531 10 \u9879\u4e25\u82db\u7684\u72ec\u7acb\u57fa\u51c6 \u5171\u540c\u9a71\u52a8&#xff1a;<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261011191715-6acbe0bba5199.webp\" alt=\"\u786c\u6838\u8bc4\u6d4b\u5361\uff1aTerminal-Bench 4.0 \u7ec8\u7aef\u4e0e\u771f\u5b9e\u73af\u5883 DevOps \u81ea\u52a8\u5316\u957f\u7a0b\u667a\u80fd\u4f53\u57fa\u51c6\" \/><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261011191715-6acbe0bbabb2d.webp\" alt=\"\u7ecf\u6d4e\u4ef7\u503c\u5b9e\u5f55\uff1aGDPval-AA v2.1 \u5546\u4e1a\u91d1\u878d\u590d\u6742\u5efa\u6a21\u4e0e\u771f\u5b9e\u4f01\u4e1a\u6295\u7814\u51b3\u7b56\u8bc4\u6d4b\" \/><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261011191715-6acbe0bbb2646.webp\" alt=\"\u67b6\u6784\u96f7\u8fbe\u56fe\uff1aAA \u667a\u80fd\u6307\u6570 v4.3.2 \u5341\u7ef4\u8bc4\u6d4b\u96f7\u8fbe\u4f53\u7cfb\u4e0e\u56db\u5927\u6838\u5fc3\u80fd\u529b\u8c61\u9650\u89e3\u6784\" \/><\/p>\n<p>\u6211\u4eec\u5bf9\u8fd9\u5341\u5927\u8bc4\u6d4b\u7ef4\u5ea6\u8fdb\u884c\u7cfb\u7edf\u7684\u56db\u8c61\u9650\u89e3\u6784&#xff1a;<\/p>\n<h4>\u8c61\u9650\u4e00&#xff1a;\u590d\u6742\u5de5\u7a0b\u4e0e\u7ec8\u7aef\u667a\u80fd\u4f53&#xff08;Autonomous Agent &amp; Systems&#xff09;<\/h4>\n<ul>\n<li>Terminal-Bench 4.0&#xff1a;\u8be5\u57fa\u51c6\u5c06\u6a21\u578b\u7f6e\u8eab\u4e8e\u771f\u5b9e\u7684 Linux \u547d\u4ee4\u884c\u7ec8\u7aef\u73af\u5883\u4e2d&#xff0c;\u8981\u6c42\u5176\u81ea\u4e3b\u6267\u884c\u957f\u7a0b\u7cfb\u7edf\u6392\u9519\u3001\u7f51\u7edc\u8c03\u8bd5\u3001\u591a\u6587\u4ef6\u8865\u4e01\u4fee\u590d\u4e0e\u7f16\u8bd1\u5668\u6545\u969c\u5b9a\u4f4d\u3002\u5728\u8fd9\u4e00\u7ef4\u5ea6\u4e0a&#xff0c;Claude Sonnet 5.5 (63.6%) \u548c Claude Opus 5.5 (59.6%) \u5c55\u73b0\u51fa\u4e86\u4ee4\u4eba\u60ca\u53f9\u7684\u5de5\u4e1a\u7edf\u5fa1\u529b&#xff0c;\u800c\u7edd\u5927\u591a\u6570\u4e2d\u5c0f\u6a21\u578b\u5728\u6b64\u9879\u5f97\u5206\u5747\u4e0d\u8db3 35%&#xff1b;<\/li>\n<li>AutomationBench-AA&#xff1a;\u4e13\u95e8\u9488\u5bf9\u4f01\u4e1a\u7ea7 Zapier\u3001Workato \u7b49\u8de8 SaaS \u81ea\u52a8\u5316\u5de5\u4f5c\u6d41\u8fdb\u884c\u8bc4\u6d4b&#xff0c;\u68c0\u9a8c\u6a21\u578b\u5728\u590d\u6742\u4e1a\u52a1\u72b6\u6001\u673a\u3001API \u53c2\u6570\u6620\u5c04\u4e0e\u5f02\u5e38\u7194\u65ad\u4e2d\u7684\u957f\u7a0b\u6267\u884c\u80fd\u529b&#xff1b;<\/li>\n<li>AA-Briefcase v1.1&#xff1a;\u57fa\u4e8e\u771f\u5b9e\u4f01\u4e1a\u529e\u516c\u5ba4\u7efc\u5408\u4efb\u52a1\u7684\u591a\u8f6e\u535a\u5f08\u4e0e\u534f\u4f5c\u7ade\u6280\u573a&#xff08;Briefcase Elo&#xff09;&#xff0c;\u76f4\u63a5\u8861\u91cf\u6a21\u578b\u5728\u767d\u9886\u529e\u516c\u65e5\u5e38\u4e8b\u52a1\u4e2d\u7684\u80dc\u7387\u3002<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261011191715-6acbe0bbb8fbc.webp\" alt=\"\u4eba\u7c7b\u7ec8\u6781\u8003\u9898\uff1aHumanity&apos;s Last Exam (HLE) \u4e13\u5bb6\u7ea7\u76f2\u9898\u4e0e\u6781\u9650\u957f\u94fe\u63a8\u7406\u80fd\u529b\u68c0\u9a8c\" \/><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261011191715-6acbe0bbbf83b.webp\" alt=\"\u5de5\u4f5c\u6d41\u81ea\u52a8\u5316\u5b9e\u6d4b\uff1aAutomationBench-AA \u8de8 SaaS \u4e0e\u590d\u6742\u72b6\u6001\u673a\u7f16\u6392\u7a33\u5b9a\u6027\u5bf9\u6bd4\" \/><\/p>\n<h4>\u8c61\u9650\u4e8c&#xff1a;\u79d1\u5b66\u524d\u6cbf\u4e0e\u6781\u9650\u63a8\u7406&#xff08;Frontier Reasoning &amp; Science&#xff09;<\/h4>\n<ul>\n<li>Humanity&#039;s Last Exam (HLE Diamond)&#xff1a;\u7531\u5168\u7403\u6570\u767e\u4f4d\u9876\u7ea7\u5b66\u8005\u8054\u5408\u547d\u9898\u7684\u2018\u4eba\u7c7b\u6700\u540e\u8003\u9a8c\u2019&#xff0c;\u6db5\u76d6\u91cf\u5b50\u4fe1\u606f\u3001\u62d3\u6251\u51e0\u4f55\u3001\u5206\u5b50\u52a8\u529b\u5b66\u7b49\u524d\u6cbf\u76f2\u9898&#xff0c;\u5f7b\u5e95\u5254\u9664\u4e86\u6240\u6709\u88ab\u7f51\u7edc\u6570\u636e\u62df\u5408\u7684\u53ef\u80fd\u6027\u3002Claude Opus 5.5 \u4ee5 61.4% \u7684\u901a\u8fc7\u7387\u50b2\u89c6\u7fa4\u96c4&#xff0c;Gemini 4 Argon \u8fbe\u5230 57.1%&#xff0c;\u800c\u5f00\u6e90\u9ed1\u9a6c MiMo-V2.6-Pro \u540c\u6837\u8dd1\u51fa\u4e86\u8fd1 50% \u7684\u9876\u5c16\u6210\u7ee9&#xff1b;<\/li>\n<li>SciCode&#xff1a;\u4e13\u6ce8\u79d1\u7814\u7ea7\u7b97\u6cd5\u6a21\u62df\u4e0e\u6570\u503c\u8ba1\u7b97\u7684\u9ad8\u7cbe\u5ea6\u4ee3\u7801\u8bc4\u6d4b&#xff1b;<\/li>\n<li>CritPt&#xff1a;\u9762\u5411\u51dd\u805a\u6001\u7269\u7406\u4e0e\u975e\u7ebf\u6027\u7cfb\u7edf\u7684\u4e34\u754c\u76f8\u53d8\u590d\u6742\u63a8\u7406\u3002<\/li>\n<\/ul>\n<h4>\u8c61\u9650\u4e09&#xff1a;\u7ecf\u6d4e\u91d1\u878d\u4e0e\u4e13\u4e1a\u7814\u62a5&#xff08;Economic Valuation&#xff09;<\/h4>\n<ul>\n<li>GDPval-AA v2.1&#xff1a;\u771f\u5b9e\u5546\u4e1a\u4f30\u503c\u57fa\u51c6&#xff0c;\u8981\u6c42\u6a21\u578b\u5728\u4e0d\u7ed9\u591a\u4f59\u63d0\u793a\u7684\u60c5\u51b5\u4e0b&#xff0c;\u5bf9\u590d\u6742\u7684\u4e0a\u5e02\u516c\u53f8\u8d22\u62a5\u3001\u5e76\u8d2d\u91cd\u7ec4\u6848\u4f8b\u8fdb\u884c\u591a\u7ef4\u654f\u611f\u6027\u5206\u6790\u5e76\u7ed9\u51fa DCF \u4f30\u503c\u6a21\u578b\u3002Opus 5.5 \u4e0e Sonnet 5.5 \u5206\u522b\u4ee5 1866 \u5206\u4e0e 1839 \u5206\u9886\u8dd1&#xff1b;<\/li>\n<li>GDP.pdf&#xff1a;\u591a\u9875\u590d\u6742\u6392\u7248\u56fe\u6587\u8d22\u62a5\u7684\u7a7f\u900f\u5f0f\u7406\u89e3&#xff0c;\u6d4b\u8bd5\u6a21\u578b\u5bf9\u6297\u683c\u5f0f\u9519\u4e71\u4e0e\u8de8\u9875\u56fe\u8868\u5173\u8054\u7684\u80fd\u529b\u3002<\/li>\n<\/ul>\n<h4>\u8c61\u9650\u56db&#xff1a;\u77e5\u8bc6\u4e8b\u5b9e\u4e0e\u957f\u6587\u672c\u53ef\u4fe1\u5ea6&#xff08;Factuality &amp; LCR&#xff09;<\/h4>\n<ul>\n<li>AA-Omniscience&#xff1a;\u5168\u57df\u6297\u5e7b\u89c9\u771f\u503c\u60e9\u7f5a\u8bc4\u6d4b&#xff01;\u4e0e\u4f20\u7edf\u53ea\u8981\u56de\u7b54\u7c7b\u4f3c\u5c31\u7ed9\u5206\u4e0d\u540c&#xff0c;AA-Omniscience \u4f1a\u5bf9\u2018\u81ea\u4fe1\u80e1\u8bf4\u2019\u65bd\u52a0\u4e25\u5389\u6263\u5206&#xff08;\u8d1f\u5206\u60e9\u7f5a&#xff09;\u3002\u8fd9\u4e5f\u662f\u4e3a\u4ec0\u4e48\u90e8\u5206\u5f00\u6e90\u8f7b\u91cf\u6a21\u578b\u5728\u8fd9\u4e00\u9879\u51fa\u73b0\u4e86\u8d1f\u5206&#xff0c;\u800c\u95ed\u6e90\u9876\u7ea7\u5de8\u5934 Opus 5.5 \u80fd\u62ff\u4e0b 46.4 \u5206 \u7684\u5173\u952e\u539f\u56e0&#xff1b;<\/li>\n<li>AA-LCR v1.1&#xff1a;\u8d85\u957f\u4e0a\u4e0b\u6587\u63a8\u7406\u8bc4\u6d4b&#xff08;Long-Context Reasoning&#xff09;&#xff0c;\u68c0\u9a8c\u6a21\u578b\u5728\u767e\u4e07 Token \u7ea7\u590d\u6742\u6587\u6863\u957f\u7a0b\u903b\u8f91\u94fe\u4e2d\u7684\u7a7f\u900f\u80fd\u529b\u3002<\/li>\n<\/ul>\n<hr \/>\n<h3>\u56db\u3001\u699c\u5355\u683c\u5c40\u5927\u5730\u9707&#xff1a;Claude \u5e1d\u56fd\u9738\u699c\u3001OpenAI \u80f6\u7740\u3001\u56fd\u4ea7\u5f00\u6e90\u738b\u724c\u9006\u5929\u80cc\u523a<\/h3>\n<p>\u7eb5\u89c2 2026 \u5e74 10 \u6708\u7684 AA \u667a\u80fd\u6307\u6570\u5168\u666f\u5927\u76d8&#xff0c;\u6211\u4eec\u53ef\u4ee5\u6e05\u6670\u5730\u770b\u5230\u5168\u7403\u5927\u6a21\u578b\u4ea7\u4e1a\u683c\u5c40\u6b63\u5728\u53d1\u751f\u6df1\u523b\u7684\u5386\u53f2\u6027\u8f6c\u6298&#xff1a;<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261011191715-6acbe0bbc6259.webp\" alt=\"\u6743\u5a01\u5927\u76d8\u77e9\u9635\uff1a2026 \u5e74 10 \u6708\u6700\u65b0 31 \u6b3e\u4e3b\u529b\u6a21\u578b\u7efc\u5408\u6027\u80fd\u3001\u65f6\u5ef6\u3001\u541e\u5410\u4e0e\u5355\u4ef7\u5168\u666f\u5927\u8868\" \/><\/p>\n<table>\n<tr>\u6392\u540d\u6a21\u578b\u540d\u79f0\u51fa\u54c1\u65b9AA \u6307\u6570\u6743\u91cd\u5f00\u653e\u4ef7\u683c (In\/Out 1M)\u8f93\u51fa\u901f\u5ea6<\/tr>\n<tbody>\n<tr>\n<td>#1<\/td>\n<td>Claude Opus 5.5 (Max)<\/td>\n<td>Anthropic<\/td>\n<td>57.6<\/td>\n<td>\u95ed\u6e90<\/td>\n<td>$4.00 \/ $20.00<\/td>\n<td>152.3 tok\/s<\/td>\n<\/tr>\n<tr>\n<td>#2<\/td>\n<td>Claude Sonnet 5.5 (Max)<\/td>\n<td>Anthropic<\/td>\n<td>56.0<\/td>\n<td>\u95ed\u6e90<\/td>\n<td>$2.00 \/ $10.00<\/td>\n<td>210.1 tok\/s<\/td>\n<\/tr>\n<tr>\n<td>#7<\/td>\n<td>GPT-6 Astra (Max)<\/td>\n<td>OpenAI<\/td>\n<td>52.7<\/td>\n<td>\u95ed\u6e90<\/td>\n<td>$10.00 \/ $50.00<\/td>\n<td>46.5 tok\/s<\/td>\n<\/tr>\n<tr>\n<td>#8<\/td>\n<td>Gemini 4 Argon (High)<\/td>\n<td>Google<\/td>\n<td>52.6<\/td>\n<td>\u95ed\u6e90<\/td>\n<td>$2.00 \/ $10.00<\/td>\n<td>&#8211;<\/td>\n<\/tr>\n<tr>\n<td>#15<\/td>\n<td>MiMo-V2.6-Pro<\/td>\n<td>Xiaomi (\u5f00\u6e90)<\/td>\n<td>46.3<\/td>\n<td>\u5f00\u6e90\u5f00\u653e<\/td>\n<td>$0.435 \/ $0.87<\/td>\n<td>40.7 tok\/s<\/td>\n<\/tr>\n<tr>\n<td>#16<\/td>\n<td>Qwen3.8 Max (0902)<\/td>\n<td>Alibaba<\/td>\n<td>45.4<\/td>\n<td>\u95ed\u6e90 API<\/td>\n<td>$2.00 \/ $6.00<\/td>\n<td>47.8 tok\/s<\/td>\n<\/tr>\n<tr>\n<td>#20<\/td>\n<td>Claude Haiku 5.5 (Max)<\/td>\n<td>Anthropic<\/td>\n<td>43.4<\/td>\n<td>\u95ed\u6e90<\/td>\n<td>$0.10 \/ $0.50<\/td>\n<td>382.8 tok\/s<\/td>\n<\/tr>\n<tr>\n<td>#23<\/td>\n<td>DeepSeek V4.1 Flash<\/td>\n<td>DeepSeek (\u5f00\u6e90)<\/td>\n<td>39.5<\/td>\n<td>\u5f00\u6e90\u5f00\u653e<\/td>\n<td>$0.30 \/ $1.20<\/td>\n<td>320.5 tok\/s<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u4ece\u8fd9\u4efd\u6700\u65b0\u5927\u76d8\u6570\u636e\u4e2d&#xff0c;\u6211\u4eec\u53ef\u4ee5\u603b\u7ed3\u51fa\u4e09\u5927\u8010\u4eba\u5bfb\u5473\u7684\u884c\u4e1a\u771f\u76f8&#xff1a;<\/p>\n<h4>1. Anthropic \u5b9e\u73b0\u2018\u4e09\u4f4d\u4e00\u4f53\u2019\u7edd\u5bf9\u538b\u5236<\/h4>\n<p>Anthropic \u5c55\u73b0\u51fa\u4e86\u6781\u5176\u6050\u6016\u7684\u4ea7\u54c1\u68af\u961f\u6784\u5efa\u80fd\u529b&#xff1a;Opus 5.5 \u8d1f\u8d23\u5728\u6781\u9650\u63a8\u7406\u4e0e\u6297\u5e7b\u89c9\u9886\u57df\u6811\u7acb\u65e0\u6cd5\u64bc\u52a8\u7684\u884c\u4e1a\u56fe\u817e&#xff1b;Sonnet 5.5 \u4fdd\u6301\u4e86 210 tok\/s \u7684\u6781\u9ad8\u541e\u5410\u548c 56.0 \u7684\u9ad8\u5206&#xff0c;\u7a33\u5750\u5168\u884c\u4e1a\u2018\u4e3b\u529b\u5de5\u4f5c\u9a6c\u2019\u5b9d\u5ea7&#xff1b;\u800c\u521a\u521a\u53d1\u5e03\u7684 Haiku 5.5 \u66f4\u662f\u4ee5 382.8 tok\/s \u7684\u72c2\u66b4\u901f\u5ea6\u548c\u6bcf\u767e\u4e07\u8f93\u5165\u4ec5 1 \u6bdb\u94b1\u7684\u6781\u81f4\u5355\u4ef7&#xff0c;\u76f4\u63a5\u51fb\u7a7f\u4e86\u8f7b\u91cf\u7ea7\u6a21\u578b\u7684\u62a4\u57ce\u6cb3&#xff01;<\/p>\n<h4>2. OpenAI \u9762\u4e34\u2018\u6027\u4ef7\u6bd4\u4e0e\u541e\u5410\u53cc\u91cd\u6324\u538b\u2019<\/h4>\n<p>OpenAI \u9635\u8425\u7684\u65d7\u8230\u6a21\u578b GPT-6 Astra \u867d\u7136\u667a\u5546\u4f9d\u65e7\u5904\u4e8e\u7b2c\u4e00\u68af\u961f&#xff08;52.7 \u5206&#xff09;&#xff0c;\u4f46\u5176 $10 \/ $50 \u7684\u6602\u8d35\u4ef7\u683c\u4ee5\u53ca 46.5 tok\/s \u7684\u7f13\u6162\u541e\u5410&#xff0c;\u8ba9\u5f88\u591a\u5de5\u4e1a\u7ea7\u7528\u6237\u671b\u800c\u5374\u6b65\u3002\u76f8\u6bd4\u4e4b\u4e0b&#xff0c;\u540c\u6837\u5177\u5907 52 \u5206\u5de6\u53f3\u80fd\u529b\u7684 Google Gemini 4 Argon \u5355\u4ef7\u4ec5\u4e3a\u5176\u4e94\u5206\u4e4b\u4e00\u3002<\/p>\n<h4>3. \u56fd\u4ea7\u5f00\u6e90\u751f\u6001\u5b9e\u73b0\u60ca\u4eba\u9006\u88ad<\/h4>\n<p>\u6700\u8ba9\u4eba\u70ed\u8840\u6cb8\u817e\u7684\u5f53\u5c5e\u5f00\u6e90\u8d5b\u9053\u7684\u7a81\u7834&#xff01;\u5c0f\u7c73\u5f00\u6e90\u7684 MiMo-V2.6-Pro \u65a9\u83b7 46.3 \u5206&#xff0c;\u8d85\u8d8a\u4e86\u5927\u91cf\u9876\u5c16\u5546\u7528 API&#xff0c;\u800c\u4e14 API \u8c03\u7528\u4ef7\u4ec5\u4e3a\u6bcf\u767e\u4e07\u8f93\u5165 $0.435&#xff1b;\u667a\u8c31\u7684 GLM-5.3 (44.8\u5206) \u4e0e\u6708\u4e4b\u6697\u9762\u7684 Kimi K3 (43.6\u5206) \u7d27\u968f\u5176\u540e\u3002\u5f00\u6e90\u6a21\u578b\u65e9\u5df2\u4e0d\u662f\u8fc7\u53bb\u7684\u2018\u73a9\u5177\u2019&#xff0c;\u800c\u662f\u5df2\u7ecf\u80fd\u591f\u72ec\u5f53\u4e00\u9762\u7684\u751f\u4ea7\u7ea7\u5229\u5668&#xff01;<\/p>\n<hr \/>\n<h3>\u4e94\u3001\u5c0f\u5b66\u751f\u79d2\u61c2\u7684\u751f\u6d3b\u5927\u6bd4\u65b9&#xff1a;\u4ea4\u901a\u5de5\u5177\u9009\u578b\u54f2\u5b66\u4e0e\u5927\u6a21\u578b\u201c\u5927\u70ae\u6253\u868a\u5b50\u201d\u9677\u9631<\/h3>\n<p>\u5f88\u591a\u975e\u6280\u672f\u51fa\u8eab\u7684\u670b\u53cb\u6216\u8005\u521a\u5165\u95e8\u7684\u521d\u7ea7\u5f00\u53d1\u8005\u5e38\u5e38\u4f1a\u95ee&#xff1a;\u2018\u65e2\u7136 Claude Opus 5.5 \u548c GPT-6 Astra \u6700\u806a\u660e&#xff0c;\u90a3\u6211\u4eec\u5728\u6240\u6709\u7cfb\u7edf\u91cc\u65e0\u8111\u914d\u7f6e\u6700\u597d\u7684\u4e0d\u5c31\u53ef\u4ee5\u4e86\u5417&#xff1f;\u4e3a\u4ec0\u4e48\u8fd8\u8981\u641e\u590d\u6742\u7684\u67b6\u6784\u9009\u578b&#xff1f;\u2019<\/p>\n<p>\u4e3a\u4e86\u8ba9\u6240\u6709\u4eba&#xff08;\u5305\u62ec\u5c0f\u5b66\u751f&#xff09;\u90fd\u80fd\u5728 30 \u79d2\u5185\u79d2\u61c2\u8fd9\u4e2a\u9053\u7406&#xff0c;\u6211\u4eec\u4e0d\u59a8\u7528\u65e5\u5e38\u751f\u6d3b\u4e2d\u6700\u5e38\u89c1\u7684\u2018\u4ea4\u901a\u51fa\u884c\u4e0e\u4e70\u83dc\u2019\u6765\u6253\u4e2a\u7edd\u5999\u7684\u5927\u6bd4\u65b9&#xff1a;<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261011191715-6acbe0bbccbe7.webp\" alt=\"\u751f\u6d3b\u5927\u6bd4\u65b9\u56fe\u89e3\uff1a\u4ea4\u901a\u5de5\u5177\u4e0e\u5927\u6a21\u578b\u9009\u578b\u54f2\u5b66\uff08\u4e0b\u697c\u4e70\u9171\u6cb9\u7684\u7535\u5355\u8f66 vs \u57ce\u5e02\u81ea\u9a7e\u901a\u52e4\u7eaf\u7535\u8f66 vs \u6469\u7eb3\u54e5\u96e8\u6218 F1 \u65b9\u7a0b\u5f0f\uff09\" \/><\/p>\n<h4>1. &#x1f6f4; \u8f7b\u4fbf\u5171\u4eab\u7535\u5355\u8f66 \u2014\u2014 \u5bf9\u5e94&#xff1a;Claude Haiku 5.5 \/ DeepSeek V4.1 Flash<\/h4>\n<p>\u751f\u6d3b\u573a\u666f&#xff1a;\u4f60\u6b63\u5728\u5bb6\u91cc\u505a\u996d&#xff0c;\u53d1\u73b0\u62bd\u5c49\u91cc\u5c11\u4e86\u4e00\u5305\u98df\u7528\u76d0\u6216\u8005\u4e00\u74f6\u9171\u6cb9\u3002\u4fbf\u5229\u5e97\u5c31\u5728\u5c0f\u533a\u95e8\u53e3 200 \u7c73\u5904\u3002 \u51fa\u884c\u7279\u70b9&#xff1a;\u626b\u7801\u5c31\u8d70&#xff0c;\u96f6\u9884\u70ed&#xff0c;\u62d0\u5f2f\u7075\u6d3b&#xff0c;\u4e0d\u5360\u5730\u65b9&#xff0c;\u6765\u56de\u82b1\u8d39 5 \u6bdb\u94b1&#xff0c;1 \u5206\u949f\u641e\u5b9a\u3002 \u5927\u6a21\u578b\u6620\u5c04&#xff1a;\u5728 AI \u7cfb\u7edf\u4e2d&#xff0c;80% \u7684\u4efb\u52a1\u5176\u5b9e\u5c31\u662f\u2018\u4e0b\u697c\u4e70\u9171\u6cb9\u2019&#xff01;\u6bd4\u5982&#xff1a;\u5224\u65ad\u7528\u6237\u53d1\u6765\u7684\u4e00\u53e5\u8bdd\u662f\u2018\u9000\u8d27\u7533\u8bf7\u2019\u8fd8\u662f\u2018\u7269\u6d41\u67e5\u8be2\u2019&#xff1b;\u6216\u8005\u4ece\u4e00\u6bb5\u6587\u5b57\u91cc\u63d0\u53d6\u51fa\u624b\u673a\u53f7\u548c\u6536\u8d27\u5730\u5740\u3002\u8fd9\u4e9b\u8f7b\u91cf\u4efb\u52a1\u6839\u672c\u4e0d\u9700\u8981\u6df1\u601d\u719f\u8651&#xff0c;\u7528 Haiku 5.5 \u53ef\u4ee5\u5728 30 \u6beb\u79d2\u5185 \u77ac\u95f4\u76f4\u51fa&#xff0c;\u6210\u672c\u4f4e\u5230\u5ffd\u7565\u4e0d\u8ba1&#xff01;<\/p>\n<h4>2. &#x1f699; \u667a\u80fd\u7eaf\u7535\u5bb6\u7528 SUV \u2014\u2014 \u5bf9\u5e94&#xff1a;Claude Sonnet 5.5 \/ Gemini 4 Argon \/ MiMo-V2.6-Pro<\/h4>\n<p>\u751f\u6d3b\u573a\u666f&#xff1a;\u5468\u4e00\u65e9\u4e0a\u5929\u4e0b\u5927\u96e8&#xff0c;\u4f60\u9700\u8981\u8de8\u8d8a\u534a\u4e2a\u57ce\u5e02\u53bb\u516c\u53f8\u4e0a\u73ed&#xff0c;\u8f66\u91cc\u8f7d\u7740\u5168\u5bb6\u4eba\u7684\u884c\u674e&#xff0c;\u8def\u4e0a\u6709\u7ea2\u7eff\u706f\u3001\u6709\u9ad8\u67b6\u6865\u4e5f\u6709\u62e5\u5835\u8def\u6bb5\u3002 \u51fa\u884c\u7279\u70b9&#xff1a;\u6709\u8212\u9002\u7684\u7a7a\u8c03\u3001\u6709\u667a\u80fd\u8f85\u52a9\u9a7e\u9a76\u3001\u52a8\u529b\u5145\u6c9b\u3001\u5b89\u5168\u53ef\u9760&#xff0c;\u6bcf\u516c\u91cc\u7efc\u5408\u7528\u8f66\u6210\u672c\u6781\u5176\u5408\u7406\u3002 \u5927\u6a21\u578b\u6620\u5c04&#xff1a;\u8fd9\u662f\u5de5\u4e1a\u7cfb\u7edf\u4e2d\u6700\u6838\u5fc3\u7684\u2018\u4e3b\u529b\u5de5\u4f5c\u9a6c&#xff08;Workhorse&#xff09;\u2019\u3002\u5b83\u5bf9\u5e94\u5168\u6808\u4ee3\u7801\u7f16\u5199\u3001\u4f01\u4e1a\u8d22\u52a1\u62a5\u8868\u5ba1\u8ba1\u3001\u590d\u6742 Docker \u5bb9\u5668\u90e8\u7f72\u811a\u672c\u7ea0\u9519\u7b49\u4efb\u52a1\u3002\u5b83\u5177\u5907\u9ad8\u8fbe 52~56 \u5206\u7684\u9876\u7ea7\u667a\u5546&#xff0c;\u540c\u65f6\u5410\u5b57\u6781\u5feb&#xff0c;\u4ef7\u683c\u53ea\u8981\u9876\u914d\u6a21\u578b\u7684\u51e0\u5206\u4e4b\u4e00&#xff0c;\u662f\u7edd\u5927\u591a\u6570\u4e1a\u52a1\u7cfb\u7edf\u7684\u4e2d\u6d41\u7825\u67f1&#xff01;<\/p>\n<h4>3. &#x1f3ce;\ufe0f \u9876\u7ea7 F1 \u8d85\u7ea7\u65b9\u7a0b\u5f0f\u8d5b\u8f66 \u2014\u2014 \u5bf9\u5e94&#xff1a;Claude Opus 5.5 \/ GPT-6 Astra<\/h4>\n<p>\u751f\u6d3b\u573a\u666f&#xff1a;\u4e16\u754c\u7ea7\u4e13\u4e1a\u65b9\u7a0b\u5f0f\u8d5b\u8f66\u5927\u5956\u8d5b&#xff0c;\u5728\u503e\u76c6\u5927\u96e8\u7684\u6781\u7aef\u5f2f\u9053\u4e0a\u4e0e\u5168\u7403\u9876\u7ea7\u8f66\u624b\u751f\u6b7b\u7ade\u901f&#xff0c;\u6311\u6218\u7269\u7406\u6781\u9650\u3002 \u51fa\u884c\u7279\u70b9&#xff1a;\u4e00\u53f0\u9020\u4ef7\u51e0\u5343\u4e07&#xff0c;\u542f\u52a8\u524d\u9700\u8981 20 \u4e2a\u673a\u68b0\u5e08\u7528\u6696\u80ce\u5668\u9884\u70ed\u534a\u5c0f\u65f6&#xff0c;\u6bcf\u4e00\u5206\u949f\u90fd\u5728\u70e7\u6389\u5929\u4ef7\u7684\u822a\u7a7a\u8d5b\u8f66\u6cb9&#xff0c;\u5e95\u76d8\u4f4e\u5230\u8fde\u51cf\u901f\u5e26\u90fd\u8fc7\u4e0d\u53bb\u3002 \u5927\u6a21\u578b\u6620\u5c04&#xff1a;\u5982\u679c\u4f60\u7684\u7cfb\u7edf\u5728\u5904\u7406\u2018\u8bc1\u660e\u4e00\u9053\u672a\u89e3\u51b3\u7684\u62d3\u6251\u6570\u5b66\u5b9a\u7406\u3001\u91cd\u6784\u5341\u4e07\u884c\u6838\u5fc3\u4ea4\u6613\u7cfb\u7edf\u7684\u5206\u5e03\u5f0f\u6b7b\u9501\u67b6\u6784\u3001\u6216\u8005\u5bf9\u51e0\u5343\u9875\u8de8\u56fd\u5e76\u8d2d\u5408\u540c\u8fdb\u884c\u5408\u89c4\u6f0f\u6d1e\u76f2\u5ba1\u2019&#xff0c;\u4f60\u5fc5\u987b\u6beb\u4e0d\u72b9\u8c6b\u8bf7\u51fa\u8fd9\u4f4d\u2018\u7ec8\u6781\u519b\u5e08\u2019&#xff01;\u4f46\u5728\u5e73\u65f6&#xff0c;\u5982\u679c\u4f60\u975e\u8981\u5f00\u7740\u4e00\u8f86 F1 \u8d5b\u8f66\u53bb\u5c0f\u533a\u4fbf\u5229\u5e97\u4e70\u9171\u6cb9&#xff0c;\u4e0d\u4ec5\u6cb9\u8d39\u4f1a\u8ba9\u4f60\u77ac\u95f4\u7834\u4ea7&#xff0c;\u8f66\u5b50\u751a\u81f3\u90fd\u5f00\u4e0d\u51fa\u5730\u4e0b\u8f66\u5e93&#xff01;<\/p>\n<hr \/>\n<h3>\u516d\u3001\u7ec8\u6781\u7834\u5c40\u4e4b\u9053&#xff1a;\u4f01\u4e1a\u7ea7\u4e09\u5c42\u52a8\u6001\u5206\u6d41\u4e2d\u67a2\u67b6\u6784&#xff08;Tier 1 \u654f\u6377 &#043; Tier 2 \u4e3b\u529b &#043; Tier 3 \u519b\u5e08&#xff09;<\/h3>\n<p>\u57fa\u4e8e\u5bf9 AA \u667a\u80fd\u6307\u6570\u7684\u6df1\u5ea6\u6d1e\u5bdf\u4e0e\u2018\u4ea4\u901a\u5de5\u5177\u9009\u578b\u54f2\u5b66\u2019&#xff0c;\u73b0\u4ee3\u5316\u5de5\u4e1a\u7ea7 AI Agent \u67b6\u6784\u5fc5\u987b\u5f7b\u5e95\u544a\u522b\u5355\u4e00\u6a21\u578b\u5199\u6b7b\u7684\u6a21\u5f0f&#xff0c;\u5168\u9762\u8f6c\u5411\u2018\u4e09\u5c42\u667a\u80fd\u5316\u52a8\u6001\u6a21\u578b\u7f51\u5173&#xff08;Dynamic Multi-Tier Routing Gateway&#xff09;\u2019&#xff1a;<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261011191715-6acbe0bbd3486.webp\" alt=\"\u7cfb\u7edf\u67b6\u6784\u56fe\uff1a\u4f01\u4e1a\u7ea7\u9ad8\u541e\u5410\u4e09\u5c42\u6a21\u578b\u52a8\u6001\u8def\u7531\u4e2d\u67a2\uff08Tier 1 \u6beb\u79d2\u654f\u6377 + Tier 2 \u4e3b\u529b\u5de5\u4f5c\u9a6c + Tier 3 \u7ec8\u6781\u519b\u5e08\uff09\" \/><\/p>\n<p>\u8be5\u5206\u6d41\u4e2d\u67a2\u5728\u6267\u884c\u5c42\u5206\u4e3a\u4e09\u7ea7\u52a8\u6001\u68af\u5ea6&#xff1a;<\/p>\n<h4>1. \u7b2c\u4e00\u68af\u961f&#xff1a;Tier 1 \u6beb\u79d2\u654f\u6377\u5c42&#xff08;\u627f\u8f7d\u5168\u7ad9 80% \u57fa\u7840\u8bf7\u6c42&#xff09;<\/h4>\n<ul>\n<li>\u4e3b\u529b\u9009\u578b&#xff1a;Claude Haiku 5.5&#xff08;382.8 tok\/s&#xff09;\u3001DeepSeek V4.1 Flash&#xff08;320.5 tok\/s&#xff09;&#xff1b;<\/li>\n<li>\u51c6\u5165\u89c4\u5219&#xff1a;\u8f93\u5165 Prompt \u5b57\u7b26\u6570\u5c0f\u4e8e 300\u3001\u4e0d\u5305\u542b\u590d\u6742\u4ee3\u7801\u5757\u3001\u4e0d\u6d89\u53ca\u4e25\u82db\u6570\u5b66\u8ba1\u7b97\u4e0e\u524d\u6cbf\u79d1\u5b66\u63a8\u5bfc&#xff1b;<\/li>\n<li>\u6838\u5fc3\u6536\u76ca&#xff1a;\u5e73\u5747\u7aef\u5230\u7aef\u65f6\u5ef6\u538b\u964d\u81f3 40ms \u4ee5\u5185&#xff0c;\u5355\u65e5\u5904\u7406\u5343\u4e07\u7ea7\u8bf7\u6c42\u8d26\u5355\u652f\u51fa\u4ec5\u4e3a\u51e0\u5341\u7f8e\u5143\u3002<\/li>\n<\/ul>\n<h4>2. \u7b2c\u4e8c\u68af\u961f&#xff1a;Tier 2 \u9ec4\u91d1\u5e73\u8861\u4e3b\u529b\u5c42&#xff08;\u627f\u8f7d\u5168\u7ad9 18% \u590d\u6742\u5de5\u7a0b\u4e1a\u52a1&#xff09;<\/h4>\n<ul>\n<li>\u4e3b\u529b\u9009\u578b&#xff1a;Claude Sonnet 5.5&#xff08;Index 56.0&#xff09;\u3001Gemini 4 Argon\u3001MiMo-V2.6-Pro&#xff08;\u5f00\u6e90\u81ea\u5efa\u738b\u724c&#xff09;&#xff1b;<\/li>\n<li>\u51c6\u5165\u89c4\u5219&#xff1a;\u5305\u542b\u4ee3\u7801\u7f16\u5199\u3001\u591a\u6b65\u5de5\u5177\u8c03\u7528\u6307\u4ee4\u3001Terminal DevOps \u81ea\u52a8\u5316\u8fd0\u7ef4\u811a\u672c\u3001\u8de8\u5de5\u5177\u591a\u8f6e\u667a\u80fd\u4f53\u534f\u540c&#xff1b;<\/li>\n<li>\u6838\u5fc3\u6536\u76ca&#xff1a;\u5728 TerminalBench 4.0 \u4e0a\u83b7\u5f97\u8d85\u8fc7 60% \u7684\u4efb\u52a1\u4e00\u6b21\u6027\u901a\u8fc7\u7387&#xff0c;\u786e\u4fdd\u5de5\u7a0b\u4ee3\u7801\u4e0e\u4e1a\u52a1\u903b\u8f91\u7684\u7edd\u5bf9\u5065\u58ee\u6027\u3002<\/li>\n<\/ul>\n<h4>3. \u7b2c\u4e09\u68af\u961f&#xff1a;Tier 3 \u7ec8\u6781\u6df1\u601d\u519b\u5e08\u5c42&#xff08;\u4ec5\u627f\u8f7d 2% \u6781\u9650\u7591\u96be\u6311\u6218&#xff09;<\/h4>\n<ul>\n<li>\u4e3b\u529b\u9009\u578b&#xff1a;Claude Opus 5.5&#xff08;Index 57.6, \u9738\u699c\u7b2c\u4e00&#xff09;\u3001GPT-6 Astra&#xff1b;<\/li>\n<li>\u51c6\u5165\u89c4\u5219&#xff1a;\u524d\u5e8f\u4e24\u5c42\u6267\u884c\u5931\u8d25\u89e6\u53d1 Fallback \u7194\u65ad\u3001\u7cfb\u7edf\u91cd\u5927\u67b6\u6784\u91cd\u6784\u5ba1\u67e5\u3001\u6781\u9ad8\u96be\u5ea6\u524d\u6cbf\u79d1\u7814\u547d\u9898&#xff1b;<\/li>\n<li>\u6838\u5fc3\u6536\u76ca&#xff1a;\u4f5c\u4e3a\u7cfb\u7edf\u7684\u6700\u540e\u4e00\u9053\u2018\u5b9a\u6d77\u795e\u9488\u2019&#xff0c;\u51ed\u501f\u65ad\u5c42\u9886\u5148\u7684\u6297\u5e7b\u89c9&#xff08;Omniscience 46.4&#xff09;\u4e0e\u6781\u9650\u63a8\u7406\u80fd\u529b\u515c\u5e95\u89e3\u51b3\u3002<\/li>\n<\/ul>\n<hr \/>\n<h3>\u4e03\u3001\u4e09\u5927\u64cd\u4f5c\u7cfb\u7edf\u539f\u751f\u96f6\u4f9d\u8d56&#xff1a;\u8de8\u5e73\u53f0\u8bc4\u6d4b\u4e0e\u7f51\u5173\u81ea\u5efa\u5b9e\u6218&#xff08;Windows 11 \/ Ubuntu 26.04 \/ macOS 26&#xff09;<\/h3>\n<p>\u5de5\u6b32\u5584\u5176\u4e8b&#xff0c;\u5fc5\u5148\u5229\u5176\u5668\u3002\u4e3a\u4e86\u8ba9\u6bcf\u4f4d\u5de5\u7a0b\u5e08\u90fd\u80fd\u5728\u81ea\u5df1\u7684\u5f00\u53d1\u673a\u6216\u751f\u4ea7\u670d\u52a1\u5668\u4e0a\u96f6\u95e8\u69db\u843d\u5730\u8fd9\u5957\u9009\u578b\u5fc3\u667a&#xff0c;\u6211\u4eec\u5f00\u53d1\u4e86\u2018\u539f\u751f\u96f6\u4f9d\u8d56\u8de8\u5e73\u53f0\u5927\u6a21\u578b\u57fa\u51c6\u8bc4\u6d4b\u4e0e\u667a\u80fd\u5206\u6d41\u7f51\u5173\u5957\u4ef6&#xff08;AA Model Router Toolkit&#xff09;\u2019\u3002<\/p>\n<p>\u6280\u672f\u4eae\u70b9&#xff1a;<\/p>\n<ul>\n<li>\u96f6\u7b2c\u4e09\u65b9\u5305\u4f9d\u8d56&#xff1a;\u4e0d\u4f9d\u8d56 pip install&#xff0c;\u4e0d\u4f9d\u8d56 npm&#xff0c;\u4e0d\u4f9d\u8d56\u5916\u90e8 Docker \u5bb9\u5668&#xff0c;\u4ec5\u9700\u7cfb\u7edf\u5185\u7f6e Python 3 \u6807\u51c6\u5e93&#xff1b;<\/li>\n<li>\u4e09\u7cfb\u7edf\u539f\u751f\u9002\u914d&#xff1a;\u4e13\u95e8\u9488\u5bf9 Windows 11 (PowerShell 7)\u3001Ubuntu 26.04 (Bash) \u4e0e macOS 26 (Zsh) \u8fdb\u884c\u8bed\u6cd5\u7ea7\u539f\u751f\u8c03\u4f18&#xff1b;<\/li>\n<li>\u53cc\u6a21\u81ea\u52a8\u5316\u652f\u6301&#xff1a;\u65e2\u652f\u6301\u5f00\u53d1\u8005\u624b\u52a8\u4ea4\u4e92\u5f0f\u5f69\u663e\u6d4b\u901f&#xff0c;\u4e5f\u652f\u6301 AI Agent \u58f0\u660e\u5f0f\u5168\u81ea\u52a8\u9759\u9ed8\u96c6\u6210&#xff08;&#8211;auto \u6a21\u5f0f&#xff09;\u3002<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261011191715-6acbe0bbda049.webp\" alt=\"\u6d41\u6c34\u7ebf\u6d41\u7a0b\u56fe\uff1aWindows 11 \/ Ubuntu 26.04 \/ macOS 26 \u4e09\u5927\u7cfb\u7edf\u539f\u751f\u96f6\u4f9d\u8d56\u5206\u6d41\u7f51\u5173\u81ea\u52a8\u5316\u90e8\u7f72\u6d41\u6c34\u7ebf\" \/><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261011191715-6acbe0bbe099e.webp\" alt=\"\u5b9e\u673a\u538b\u6d4b\u5b9e\u5f55\uff1a\u8de8\u5e73\u53f0\u96f6\u4f9d\u8d56\u8bc4\u6d4b\u5957\u4ef6\u5728\u539f\u751f\u7ec8\u7aef\u4e0b\u6d4b\u7b97\u5404 Tier \u6a21\u578b\u7684\u771f\u5b9e TTFT\u3001\u541e\u5410\u4e0e\u8def\u7531\u54cd\u5e94\" \/><\/p>\n<h4>1. macOS 26 (Apple Silicon \/ Intel) \u539f\u751f Zsh \u90e8\u7f72\u5b9e\u6218<\/h4>\n<p># 1. \u4e0b\u8f7d\u5e76\u8d4b\u4e88\u6267\u884c\u6743\u9650<br \/>\ncurl -sSL -O https:\/\/blog.margrop.net\/post-images\/aa-intelligence-index-october-2026-leaderboard-deep-dive-and-model-selection-guide\/aa_model_router_toolkit_macos26.zsh<br \/>\nchmod &#043;x aa_model_router_toolkit_macos26.zsh<\/p>\n<p># 2. \u65b9\u5f0f A&#xff1a;\u5f00\u53d1\u8005\u4eba\u5de5\u4ea4\u4e92\u5f0f\u6267\u884c&#xff08;\u5f69\u663e\u57fa\u51c6\u538b\u6d4b\u4e0e\u72b6\u6001\u81ea\u68c0&#xff09;<br \/>\n.\/aa_model_router_toolkit_macos26.zsh<\/p>\n<p># 3. \u65b9\u5f0f B&#xff1a;AI Agent \u58f0\u660e\u5f0f\u5168\u81ea\u52a8\u9759\u9ed8\u96c6\u6210&#xff08;\u540e\u53f0\u5e38\u9a7b\u670d\u52a1\u4e0e\u914d\u7f6e\u81ea\u751f\u6210&#xff09;<br \/>\n.\/aa_model_router_toolkit_macos26.zsh &#8211;auto<\/p>\n<h4>2. Ubuntu 26.04 LTS (x86_64 \/ aarch64) \u539f\u751f Bash \u90e8\u7f72\u5b9e\u6218<\/h4>\n<p># 1. \u4e0b\u8f7d\u5e76\u8d4b\u4e88\u6267\u884c\u6743\u9650<br \/>\ncurl -sSL -O https:\/\/blog.margrop.net\/post-images\/aa-intelligence-index-october-2026-leaderboard-deep-dive-and-model-selection-guide\/aa_model_router_toolkit_ubuntu2604.sh<br \/>\nchmod &#043;x aa_model_router_toolkit_ubuntu2604.sh<\/p>\n<p># 2. \u65b9\u5f0f A&#xff1a;\u4eba\u5de5\u4e00\u952e\u8fd0\u884c<br \/>\n.\/aa_model_router_toolkit_ubuntu2604.sh<\/p>\n<p># 3. \u65b9\u5f0f B&#xff1a;Agent \u9759\u9ed8\u914d\u7f6e&#xff08;\u751f\u6210 systemd \u5b88\u62a4\u8fdb\u7a0b\u4e0e\u672c\u5730\u8def\u7531\u7aef\u70b9&#xff09;<br \/>\n.\/aa_model_router_toolkit_ubuntu2604.sh &#8211;auto<\/p>\n<h4>3. Windows 11 (PowerShell 7) \u539f\u751f\u90e8\u7f72\u5b9e\u6218<\/h4>\n<p># 1. \u4e0b\u8f7d PowerShell 7 \u81ea\u52a8\u5316\u811a\u672c<br \/>\nInvoke-WebRequest -Uri &#034;https:\/\/blog.margrop.net\/post-images\/aa-intelligence-index-october-2026-leaderboard-deep-dive-and-model-selection-guide\/aa_model_router_toolkit_windows11.ps1&#034; -OutFile &#034;aa_model_router_toolkit_windows11.ps1&#034;<\/p>\n<p># 2. \u65b9\u5f0f A&#xff1a;\u5f00\u53d1\u8005\u4ea4\u4e92\u5f0f\u8fd0\u884c<br \/>\npwsh -ExecutionPolicy Bypass -File .a_model_router_toolkit_windows11.ps1<\/p>\n<p># 3. \u65b9\u5f0f B&#xff1a;Agent \u5168\u81ea\u52a8\u9759\u9ed8\u90e8\u7f72<br \/>\npwsh -ExecutionPolicy Bypass -File .a_model_router_toolkit_windows11.ps1 -Auto<\/p>\n<h4>4. \u9a8c\u8bc1\u672c\u5730\u667a\u80fd\u7f51\u5173\u670d\u52a1<\/h4>\n<p>\u811a\u672c\u8fd0\u884c\u5b8c\u6bd5\u540e&#xff0c;\u672c\u5730\u5c06\u62c9\u8d77\u4e00\u4e2a\u5b8c\u5168\u517c\u5bb9 OpenAI API \u89c4\u8303\u7684\u4ee3\u7406\u670d\u52a1&#xff08;\u9ed8\u8ba4\u7aef\u53e3 8010&#xff09;&#xff1a;<\/p>\n<p># \u5065\u5eb7\u68c0\u67e5<br \/>\ncurl -s http:\/\/127.0.0.1:8010\/health | jq .<\/p>\n<p># \u6d4b\u8bd5\u4e09\u5c42\u52a8\u6001\u8def\u7531\u5206\u53d1&#xff08;\u81ea\u52a8\u6839\u636e Prompt \u7279\u5f81\u8def\u7531\u81f3\u5bf9\u5e94\u68af\u961f&#xff09;<br \/>\ncurl -s http:\/\/127.0.0.1:8010\/v1\/chat\/completions   -H &#034;Content-Type: application\/json&#034;   -d &#039;{<br \/>\n    &#034;messages&#034;: [{&#034;role&#034;: &#034;user&#034;, &#034;content&#034;: &#034;\u8bf7\u7528 Python \u5199\u4e00\u4e2a\u89e3\u6790 Linux proc \u72b6\u6001\u7684\u591a\u7ebf\u7a0b\u91c7\u96c6\u811a\u672c&#034;}],<br \/>\n    &#034;stream&#034;: false<br \/>\n  }&#039; | jq .<\/p>\n<hr \/>\n<h3>\u516b\u3001\u5de5\u4e1a\u843d\u5730 Q&amp;A \u4e0e\u9ad8\u9891\u907f\u5751\u6307\u5357<\/h3>\n<h4>Q1&#xff1a;\u6211\u4eec\u5728\u6d4b\u8bd5\u65f6\u53d1\u73b0\u8f7b\u91cf\u6a21\u578b\u5728\u67d0\u4e9b\u7279\u5b9a\u4e13\u4e1a\u672f\u8bed\u4e0a\u7406\u89e3\u4e0d\u591f\u51c6\u786e&#xff0c;\u76f4\u63a5\u4f7f\u7528 Tier 1 \u5206\u6d41\u4f1a\u4e0d\u4f1a\u5f71\u54cd\u4e1a\u52a1\u4f53\u9a8c&#xff1f;<\/h4>\n<p>A&#xff1a;\u5fc5\u987b\u5efa\u7acb\u2018\u4e24\u6b65\u8bd5\u63a2\u4e0e\u81ea\u52a8\u7194\u65ad&#xff08;Speculative Probing &amp; Fallback&#xff09;\u2019\u673a\u5236&#xff01;\u5728\u667a\u80fd\u8def\u7531\u7f51\u5173\u4e2d&#xff0c;\u6211\u4eec\u5efa\u8bae\u4e3a Tier 1 \u8bbe\u7f6e\u7f6e\u4fe1\u5ea6\u5224\u5b9a\u6216\u957f\u5ea6\u622a\u65ad\u3002\u4f8b\u5982\u8ba9 Tier 1 \u4f34\u968f\u8f93\u51fa\u4e00\u4e2a\u6821\u9a8c\u6807\u7b7e&#xff08;\u4f8b\u5982 [CONFIDENCE_HIGH]&#xff09;\u3002\u5982\u679c Tier 1 \u5728 100ms \u5185\u672a\u80fd\u751f\u6210\u5408\u6cd5\u7684\u7ed3\u6784\u6216\u629b\u51fa\u4f4e\u7f6e\u4fe1\u5ea6\u8b66\u544a&#xff0c;\u7f51\u5173\u5728\u5185\u90e8\u65e0\u7f1d\u91cd\u8bd5\u5347\u7ea7\u81f3 Tier 2&#xff08;Sonnet 5.5 \/ MiMo&#xff09;&#xff0c;\u6574\u4e2a\u8fc7\u7a0b\u5bf9\u4e0a\u5c42\u7528\u6237\u5b8c\u5168\u900f\u660e\u65e0\u611f\u3002<\/p>\n<h4>Q2&#xff1a;\u56fd\u4ea7\u5f00\u6e90\u6a21\u578b MiMo-V2.6-Pro \u5728\u699c\u5355\u4e0a\u6392\u540d\u9ad8\u8fbe\u7b2c 15 \u4f4d&#xff0c;\u6211\u4eec\u53ef\u4ee5\u5728\u751f\u4ea7\u73af\u5883\u4e2d\u7528\u5b83\u5b8c\u5168\u66ff\u6362\u95ed\u6e90 API \u5417&#xff1f;<\/h4>\n<p>A&#xff1a;\u5728\u4ee3\u7801\u751f\u6210\u3001\u7ecf\u6d4e\u5546\u4e1a\u5206\u6790\u4e0e\u901a\u7528 Agent \u4efb\u52a1\u4e0a&#xff0c;MiMo-V2.6-Pro \u7684\u8868\u73b0\u5df2\u7ecf\u6781\u4e3a\u60ca\u8273&#xff0c;\u800c\u4e14\u6bcf\u767e\u4e07 Token \u4ec5\u9700 $0.435&#xff0c;\u6781\u5ea6\u9002\u5408\u4f5c\u4e3a\u56e2\u961f\u5185\u7f51\u79c1\u6709\u5316\u90e8\u7f72\u6216\u9ad8\u5e76\u53d1\u6279\u5904\u7406\u7684\u6838\u5fc3\u5f15\u64ce\u3002\u4f46\u5728\u6781\u5ea6\u4e25\u82db\u7684\u957f\u957f\u94fe\u6570\u7406\u63a8\u5bfc\u548c\u6297\u4e8b\u5b9e\u5e7b\u89c9&#xff08;AA-Omniscience \u5f97\u5206\u4e3a 8.4&#xff09;\u65b9\u9762&#xff0c;\u5b83\u4e0e Opus 5.5 (46.4) \u7b49\u95ed\u6e90\u9876\u7ea7\u65d7\u8230\u4f9d\u7136\u5b58\u5728\u5ba2\u89c2\u5dee\u8ddd\u3002\u56e0\u6b64\u6700\u4f73\u5b9e\u8df5\u662f&#xff1a;\u7528 MiMo \u62c5\u5f53\u4e3b\u529b Tier 2&#xff0c;\u540c\u65f6\u4fdd\u7559 Opus 5.5 \u4f5c\u4e3a Tier 3 \u515c\u5e95\u519b\u5e08\u3002<\/p>\n<h4>Q3&#xff1a;\u957f\u6587\u672c\u573a\u666f\u4e0b&#xff08;\u4f8b\u5982\u5206\u6790\u51e0\u767e\u9875 PDF&#xff09;&#xff0c;\u5e94\u8be5\u4f18\u5148\u770b\u6a21\u578b\u7684\u4ec0\u4e48\u6307\u6807&#xff1f;<\/h4>\n<p>A&#xff1a;\u5207\u5fcc\u53ea\u770b\u4e0a\u4e0b\u6587\u7a97\u53e3\u6807\u79f0\u7684\u20181M\u2019\u6216\u20182M\u2019\u6570\u5b57&#xff01;\u5728 AA \u6307\u6570\u4e2d&#xff0c;\u5fc5\u987b\u91cd\u70b9\u53c2\u8003 AA-LCR v1.1 (Long-Context Reasoning) \u4e0e GDP.pdf \u8bc4\u5206\u3002\u5f88\u591a\u6a21\u578b\u867d\u7136\u652f\u6301\u628a\u51e0\u5341\u4e07\u5b57\u5582\u8fdb\u53bb&#xff0c;\u4f46\u4e00\u65e6\u9700\u8981\u8de8\u8d8a 30 \u9875\u6bd4\u5bf9\u4e24\u7ec4\u76f8\u4e92\u77db\u76fe\u7684\u6570\u636e\u65f6\u5c31\u4f1a\u4ea7\u751f\u2018\u4e0a\u4e0b\u6587\u5931\u5fc6\u2019\u3002\u5728\u957f\u6587\u672c\u6df1\u5c42\u63a8\u7406\u4e0a&#xff0c;Claude 5.5 \u5bb6\u65cf\u7684\u7efc\u5408\u8fbe\u6807\u7387\u4f9d\u7136\u662f\u76ee\u524d\u5de5\u4e1a\u754c\u6700\u503c\u5f97\u4fe1\u8d56\u7684\u3002<\/p>\n<hr \/>\n<h3>\u4e5d\u3001\u7ed3\u8bed\u4e0e\u5de5\u7a0b\u8d44\u6e90\u4e0b\u8f7d<\/h3>\n<p>\u5927\u6a21\u578b\u7684\u771f\u6b63\u4ef7\u503c&#xff0c;\u6c38\u8fdc\u4e0d\u5728\u4e8e\u5382\u5546\u53d1\u5e03\u4f1a\u4e0a\u7cbe\u5fc3\u6311\u9009\u7684 PPT \u8dd1\u5206&#xff0c;\u800c\u5728\u4e8e\u5b83\u80fd\u5426\u4ee5\u2018\u53ef\u63a7\u7684\u6210\u672c\u3001\u654f\u6377\u7684\u65f6\u5ef6\u4e0e\u53ef\u4fe1\u7684\u8d28\u91cf\u2019\u5207\u5b9e\u5e2e\u4eba\u7c7b\u89e3\u51b3\u751f\u4ea7\u751f\u6d3b\u4e2d\u7684\u771f\u5b9e\u96be\u9898\u30022026 \u5e74 10 \u6708\u7684 AA \u667a\u80fd\u6307\u6570 v4.3.2 \u8ba9\u6211\u4eec\u770b\u6e05\u4e86\u68af\u961f\u65ad\u5c42\u7684\u771f\u76f8&#xff0c;\u4e5f\u4e3a\u6211\u4eec\u6307\u660e\u4e86\u5206\u5c42\u843d\u5730\u7684\u79d1\u5b66\u8def\u5f84\u3002<\/p>\n<p>\u4e0d\u8981\u5728\u53ef\u4ee5\u8e29\u5355\u8f66\u7684\u65f6\u5019\u5f00 F1 \u8d5b\u8f66&#xff0c;\u4e5f\u4e0d\u8981\u5728\u98ce\u66b4\u6765\u4e34\u7684\u6df1\u6d77\u91cc\u9a7e\u9a76\u72ec\u6728\u821f\u3002\u7528\u79d1\u5b66\u7684\u57fa\u51c6\u6307\u5bfc\u5de5\u7a0b\u9009\u578b&#xff0c;\u7528\u4f18\u96c5\u7684\u5206\u6d41\u4e2d\u67a2\u9a7e\u9a6d\u767e\u6a21\u4e89\u9e23&#xff01;<\/p>\n<h4>&#x1f4e6; \u5de5\u4e1a\u7ea7\u5957\u4ef6\u4e0e\u914d\u7f6e\u6587\u4ef6\u4e0b\u8f7d<\/h4>\n<p>\u672c\u6587\u914d\u5957\u7684\u539f\u751f\u8de8\u5e73\u53f0\u8bc4\u6d4b\u4e0e\u4e09\u5c42\u6a21\u578b\u52a8\u6001\u8def\u7531\u7f51\u5173\u5b8c\u6574\u811a\u672c\u5df2\u6253\u5305\u5c31\u7eea&#xff1a;<\/p>\n<ul>\n<li>macOS 26 \u539f\u751f Zsh \u5957\u4ef6&#xff1a;aa_model_router_toolkit_macos26.zsh<\/li>\n<li>Ubuntu 26.04 \u539f\u751f Bash \u5957\u4ef6&#xff1a;aa_model_router_toolkit_ubuntu2604.sh<\/li>\n<li>Windows 11 \u539f\u751f PowerShell 7 \u5957\u4ef6&#xff1a;aa_model_router_toolkit_windows11.ps1<\/li>\n<li>\u5168\u5e73\u53f0\u6253\u5305\u5f52\u6863&#xff1a;aa-router-toolkit.zip<\/li>\n<li>SHA256 \u5b89\u5168\u6821\u9a8c\u6e05\u5355&#xff1a;SHA256SUMS.txt<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>\u6838\u5fc3\u9707\u64bc\u5bfc\u8bfb&#xff1a;\u5982\u679c\u8bf4\u8fc7\u53bb\u4e24\u5e74\u5927\u6a21\u578b\u9886\u57df\u7684\u2018\u8dd1\u5206\u4e92\u5439\u2019\u8ba9\u6240\u6709\u4f01\u4e1a\u67b6\u6784\u5e08\u548c\u4e2a\u4eba\u5f00\u53d1\u8005\u60a3\u4e0a\u4e86\u4e25\u91cd\u7684\u2018\u9009\u578b\u9ebb\u6728\u75c7\u2019&#xff0c;\u90a3\u4e48 2026 \u5e74 10 \u6708\u521d\u521a\u521a\u5237\u65b0\u51fa\u7089\u7684 Artificial Analysis (AA) \u667a\u80fd\u6307\u6570 v4.3.2&#xff0c;\u5219\u5982\u540c\u4e00\u9762\u4e0d\u8bb2\u60c5\u9762\u7684\u2018\u5de5\u4e1a\u7ea7\u7167\u5996\u955c\u2019&#xff0c;\u5f7b\u5e95\u51fb\u788e\u4e86\u4f20\u7edf\u5237\u699c\u7684\u906e\u7f9e\u5e03&#xff01; \u5dc5\u5cf0\u738b\u5ea7\u6613\u4e3b&#xff0c;Claude \u5e1d\u56fd\u5168\u7ebf\u5c60\u699c&#xff1a;Anthropic \u65d7\u4e0b\u65b0\u65d7\u8230 Claude<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[66,75,132],"topic":[],"class_list":["post-115394","post","type-post","status-publish","format-standard","hentry","category-server","tag-ai","tag-llm","tag-132"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u5927\u6a21\u578b\u795e\u575b\u4e00\u591c\u5d29\u584c\uff1fAA \u667a\u80fd\u6307\u6570 10 \u6708\u6700\u65b0\u699c\u5355\u6838\u7206\u7ea7\u6d17\u724c\uff1aClaude Opus 5.5 \u767b\u9876\u5c60\u699c\uff0c\u5f00\u6e90\u9ed1\u9a6c MiMo\/DeepSeek 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