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\u6838\u5fc3\u7a81\u7834\u96c6\u4e2d\u5728\u4e24\u4e2a\u65b9\u5411\u3002<\/p>\n

\u5176\u4e00\uff0c\u7f16\u7a0b\u57fa\u51c6\u7684\u6570\u5b57\u8dc3\u5347\u3002<\/strong> SWE-Bench Pro 58.4\u5206\uff0c\u8d85\u8d8aClaude Opus 4.6\uff0857.3\u5206\uff09\u548cGPT-5.4\uff0857.7\u5206\uff09\uff0c\u662f\u56fd\u4ea7\u5f00\u6e90\u6a21\u578b\u5728\u8fd9\u4e00\u57fa\u51c6\u4e0a\u7684\u5386\u53f2\u6700\u9ad8\u5206\u3002\u5728Terminal-Bench\u548cNL2Repo\u4e24\u9879\u4ee3\u7801\u8bc4\u6d4b\u7684\u7efc\u5408\u5e73\u5747\u4e2d\uff0cGLM-5.1\u53d6\u5f97\u5168\u7403\u7b2c\u4e09\u3001\u56fd\u4ea7\u7b2c\u4e00\u3001\u5f00\u6e90\u7b2c\u4e00\u7684\u6392\u540d\u3002<\/p>\n

\u5176\u4e8c\uff0c“\u957f\u7a0b\u4efb\u52a1”\u80fd\u529b\u7684\u9996\u6b21\u91cf\u5316\u9a8c\u8bc1\u3002<\/strong> \u667a\u8c31\u5c06\u5176\u5b9a\u4e49\u4e3a\u6a21\u578b\u63a5\u6536\u4e00\u9879\u4efb\u52a1\u540e\u6301\u7eed\u5de5\u4f5c\u6570\u5c0f\u65f6\u4e43\u81f3\u66f4\u4e45\u7684\u80fd\u529b\uff0c\u5b98\u65b9\u5c55\u793a\u4e86\u82e5\u5e72\u6848\u4f8b\uff1a\u6a21\u578b\u5728\u65e0\u76d1\u7763\u4e0b\u5b8c\u6210655\u8f6e\u8fed\u4ee3\u3001\u8d85\u8fc76000\u6b21\u5de5\u5177\u8c03\u7528\uff0c\u5c06\u5411\u91cf\u6570\u636e\u5e93QPS\u4ece3,547\u63d0\u5347\u81f321,500\uff1b14\u5c0f\u65f6\u5185\u5c06GPU\u8ba1\u7b97\u5185\u6838\u52a0\u901f35.7\u500d\uff1b8\u5c0f\u65f6\u5185\u81ea\u4e3b\u642d\u5efa\u51fa\u5305\u542b\u7a97\u53e3\u7ba1\u7406\u5668\u3001\u7ec8\u7aef\u6a21\u62df\u5668\u3001\u6587\u4ef6\u6d4f\u89c8\u5668\u7684\u5b8c\u6574Linux\u684c\u9762\u73af\u5883\u3002\u8fd9\u79cd\u884c\u4e3a\u6a21\u5f0f\u66f4\u63a5\u8fd1\u4e00\u4e2a\u521d\u7ea7\u5de5\u7a0b\u5e08\uff0c\u800c\u975e\u9ad8\u7ea7\u641c\u7d22\u5f15\u64ce\u3002<\/p>\n

\u4f46\u8fd9\u91cc\u6709\u4e24\u4e2a\u5fc5\u987b\u6807\u6ce8\u7684\u6298\u6263\u3002<\/p>\n

\u6298\u6263\u4e00\uff1a\u8bc4\u6d4b\u4f53\u7cfb\u672c\u8eab\u7684\u53ef\u4fe1\u5ea6\u5b58\u7591\u3002<\/strong> \u4eca\u5e743\u6708\uff0cAI\u5b89\u5168\u7814\u7a76\u673a\u6784METR\u53d1\u5e03\u7814\u7a76\u6307\u51fa\uff0cSWE-bench\u7cfb\u5217\u4e2d\u88ab\u81ea\u52a8\u5224\u5b9a\u4e3a“\u901a\u8fc7”\u7684AI\u4ee3\u7801\u65b9\u6848\uff0c\u7ea6\u6709\u4e00\u534a\u4f1a\u88ab\u771f\u5b9e\u9879\u76ee\u7ef4\u62a4\u8005\u62d2\u7edd\uff0c\u81ea\u52a8\u8bc4\u6d4b\u53ef\u80fd\u5c06AI\u7f16\u7a0b\u80fd\u529b\u9ad8\u4f30\u8fbe7\u500d\u3002\u51e0\u4e4e\u540c\u671f\uff0cOpenAI<\/a>\u5ba3\u5e03\u5f03\u7528SWE-bench Verified\u4f5c\u4e3a\u8bc4\u4f30\u6807\u51c6\uff0c\u7406\u7531\u662f\u81ea\u52a8\u8bc4\u6d4b\u4e0e\u5b9e\u9645\u5f00\u53d1\u6548\u80fd\u7684\u504f\u5dee\u5df2\u4e0d\u53ef\u5ffd\u89c6\u3002GLM-5.1\u4e0eClaude Opus 4.6\u4e4b\u95f4\u4e0d\u52301\u5206\u7684\u5dee\u8ddd\uff0c\u5728METR\u63ed\u793a\u7684\u8bef\u5dee\u8303\u56f4\u5185\uff0c“\u5168\u7403\u6700\u5f3a\u5f00\u6e90\u6a21\u578b”\u7684\u6807\u7b7e\u9700\u8981\u5ba1\u614e\u770b\u5f85\u3002<\/p>\n

\u6298\u6263\u4e8c\uff1a\u80fd\u529b\u5206\u5e03\u6781\u4e0d\u5747\u5300\u3002<\/strong> Text Arena\u7b2c\u4e09\u65b9\u7ade\u6280\u573a\u7684\u7ec6\u5206\u6392\u540d\u6e05\u695a\u5448\u73b0\u4e86\u4ee3\u4ef7\uff1a\u7f16\u7a0b\u8f83\u524d\u4ee3\u8dc3\u534728\u540d\uff0c\u4f46\u533b\u7597\u638924\u540d\uff0c\u6cd5\u5f8b\u63896\u540d\uff0c\u6570\u5b66\u63892\u540d\u3002NL2Repo\uff08\u4ece\u96f6\u6784\u5efa\u4ee3\u7801\u4ed3\u5e93\uff09\u4e0a\u843d\u540eClaude Opus 4.6\u8fbe7\u5206\uff0842.7\u5bf949.8\uff09\u3002\u77e5\u4e4e<\/span>\u5f00\u53d1\u8005“\u6674\u5929”\u7528\u9605\u8bfb\u7406\u89e3\u3001SVG\u4ee3\u7801\u751f\u6210\u7b49\u573a\u666f\u505a\u6a2a\u5411\u6d4b\u8bd5\uff0c\u7ed3\u8bba\u662fGLM-5.1\u8fde\u57fa\u672c\u9605\u8bfb\u7406\u89e3\u90fd\u672a\u8fbe\u6807\uff1b\u53e6\u4e00\u4f4d\u901a\u8fc7Ollama\u672c\u5730\u90e8\u7f72\u7684\u5f00\u53d1\u8005\u8bc4\u4ef7“\u6574\u4f53\u4e0d\u5982Qwen3.6-Plus”\u3002\u8fd9\u4e9b\u4e2a\u4f53\u6d4b\u8bd5\u4e0d\u4ee3\u8868\u5168\u8c8c\uff0c\u4f46\u5171\u540c\u6307\u5411\u4e00\u4e2a\u4e8b\u5b9e\uff1aGLM-5.1\u662f\u4e00\u4e2a\u5728\u7f16\u7a0b\u548cAgent\u65b9\u5411\u523b\u610f\u8bad\u7ec3\u3001\u5176\u4ed6\u9886\u57df\u6709\u6240\u727a\u7272\u7684“\u504f\u79d1\u751f”\u3002<\/p>\n

\u504f\u79d1\u5e76\u4e0d\u662f\u8d2c\u4e49\u8bcd\uff0c\u5173\u952e\u5728\u4e8e“\u504f\u7684\u90a3\u4e2a\u79d1”\u503c\u4e0d\u503c\u5f97\u504f\u3002<\/p>\n

\u7f16\u7a0b\u548c\u81ea\u4e3b\u6267\u884c\uff0c\u76ee\u524d\u786e\u5b9e\u662fAI\u884c\u4e1a\u7ade\u4e89\u6700\u5bc6\u96c6\u7684\u8d5b\u9053\u3002\u4f46\u9700\u8981\u6e05\u9192\u8ba4\u8bc6\u5230\uff0c\u5c31\u5728GLM-5.1\u53d1\u5e03\u7684\u540c\u4e00\u5929\uff0cAnthropic\u63a8\u51fa\u4e86Mythos Preview——SWE-Bench Pro\u62ff\u523077.8\u5206\uff0c\u9886\u5148GLM-5.1\u8fd120\u5206\u3002Mythos\u6682\u4e0d\u516c\u5f00\uff0c\u4f46\u5b83\u6807\u5b9a\u4e86\u884c\u4e1a\u80fd\u529b\u7684\u5f53\u524d\u5929\u82b1\u677f\uff0c\u4e5f\u8bf4\u660e\u7ade\u4e89\u5bf9\u624b\u7684\u50a8\u5907\u8fdc\u6bd4\u5df2\u53d1\u5e03\u7684\u4ea7\u54c1\u66f4\u6df1\u539a\u3002<\/p>\n

\u5f00\u6e90\u6362\u4fe1\u4efb\uff0c\u95ed\u6e90\u6362\u5b89\u5168<\/h2>\n

GLM-5.1\u53d1\u5e03\u5f53\u5929\uff0c\u53d1\u751f\u4e86\u4e00\u4e2a\u5bf9\u6bd4\u9c9c\u660e\u7684\u65f6\u95f4\u5de7\u5408\u3002<\/p>\n

\u592a\u5e73\u6d0b<\/span>\u5f7c\u5cb8\uff0cAnthropic\u5b98\u5ba3\u4e86\u65b0\u4e00\u4ee3\u6a21\u578bClaude Mythos Preview——\u4f46\u6ca1\u6709\u5411\u516c\u4f17\u5f00\u653e\uff0c\u800c\u662f\u5b9a\u5411\u63d0\u4f9b\u7ed9\u82f9\u679c<\/a><\/span>\u3001\u5fae\u8f6f<\/a><\/span>\u3001\u8c37\u6b4c\u3001\u82f1\u4f1f\u8fbe<\/span>\u7b4912\u5bb6\u5408\u4f5c\u4f19\u4f34\u548c40\u4f59\u5bb6\u57fa\u7840\u8bbe\u65bd\u7ec4\u7ec7\uff0c\u7528\u4e8e\u4e00\u4e2a\u540d\u4e3a“Project Glasswing”\u7684\u7f51\u7edc\u5b89\u5168\u8ba1\u5212\u3002<\/p>\n

\u540c\u4e00\u5929\uff0c\u4e24\u5bb6\u516c\u53f8\u5404\u51fa\u4e00\u624b\u724c\uff0c\u65b9\u5411\u622a\u7136\u76f8\u53cd\uff1a\u4e00\u5bb6\u5c06\u6a21\u578b\u6743\u91cd\u5168\u91cf\u4e0a\u4f20Hugging Face\u4efb\u4eba\u4e0b\u8f7d\uff0c\u53e6\u4e00\u5bb6\u4e3b\u52a8\u628a\u6700\u5f3a\u6a21\u578b\u9501\u8fdb\u4e86\u56f4\u5899\u3002<\/p>\n

\u8fd9\u4e2a\u5de7\u5408\uff0c\u662f\u5f53\u524dAI\u884c\u4e1a\u6700\u6838\u5fc3\u8def\u7ebf\u5206\u6b67\u7684\u7f29\u5f71\u3002<\/p>\n

\u667a\u8c31\u7684\u5f00\u6e90\u903b\u8f91<\/strong>\uff0c\u5df2\u7ecf\u5f62\u6210\u4e86\u6e05\u6670\u7684\u5546\u4e1a\u98de\u8f6e\u8bbe\u8ba1\uff1a\u4ee5MIT\u534f\u8bae\u5f00\u6e90\u5efa\u7acb\u5f00\u53d1\u8005\u4fe1\u4efb→\u4fe1\u4efb\u8f6c\u5316\u4e3a\u4f01\u4e1a\u91c7\u8d2d\u65f6\u7684\u4f18\u5148\u8003\u91cf→\u901a\u8fc7API\u8c03\u7528\u548cAgent\u6267\u884c\u6536\u8d39\u5b9e\u73b0\u53d8\u73b0\u3002\u8fd9\u6761\u8def\u5728\u4e2d\u56fd\u653f\u4f01\u5e02\u573a\u6709\u7ed3\u6784\u6027\u4f18\u52bf\uff0c\u6570\u636e\u5408\u89c4\u8981\u6c42\u9ad8\u7684\u884c\u4e1a\uff08\u91d1\u878d\u3001\u653f\u52a1\u3001\u533b\u7597\uff09\u5bf9“\u6570\u636e\u4e0d\u51fa\u5185\u7f51”\u6709\u521a\u6027\u9700\u6c42\uff0c\u95ed\u6e90API\u5929\u7136\u65e0\u6cd5\u6ee1\u8db3\u3002<\/p>\n

Anthropic\u7684\u95ed\u6e90\u903b\u8f91<\/strong>\uff0c\u5219\u662f\u53e6\u4e00\u5957\u5b8c\u5168\u4e0d\u540c\u7684\u8bc1\u660e\u8def\u5f84\uff1a\u4ee5\u5b89\u5168\u4e3a\u54c1\u724c\u6838\u5fc3\uff0c\u4ee5\u80fd\u529b\u80cc\u4e66\u5546\u4e1a\u5316\uff0c\u901a\u8fc7\u5df2\u9a8c\u8bc1\u7684\u4f01\u4e1a\u670d\u52a1\u53e3\u7891\u62c9\u9ad8\u5b9a\u4ef7\u30022025\u5e74\uff0cAnthropic ARR\u7a81\u7834300\u4ebf\u7f8e\u5143\uff0c\u9996\u6b21\u8d85\u8d8aOpenAI\u540c\u671f\u7684250\u4ebf\u7f8e\u5143——\u5e02\u573a\u5728\u7528\u771f\u91d1\u767d\u94f6\u8ba4\u53ef\u8fd9\u5957\u903b\u8f91\u7684\u5408\u7406\u6027\u3002<\/p>\n

\u4e24\u6761\u8def\u54ea\u6761\u66f4\u5bf9\uff1f\u8fd9\u4e2a\u95ee\u9898\u53ef\u80fd\u672c\u8eab\u5c31\u95ee\u9519\u4e86\u3002\u66f4\u51c6\u786e\u7684\u8868\u8ff0\u662f\uff1a\u4e24\u6761\u8def\u5728\u5404\u81ea\u7684\u76ee\u6807\u5e02\u573a\u91cc\uff0c\u76ee\u524d\u90fd\u627e\u5230\u4e86\u9700\u6c42\u951a\u70b9\u3002<\/p>\n

\u4f46\u4e24\u6761\u8def\u4e5f\u5404\u6709\u5404\u7684\u771f\u5b9e\u98ce\u9669\u3002<\/p>\n

\u667a\u8c31\u5f00\u6e90\u8def\u7ebf\u7684\u9690\u60a3\u5728\u4e8e\uff1a\u5f00\u6e90\u80fd\u8d62\u53e3\u7891\uff0c\u672a\u5fc5\u80fd\u8d62\u5e02\u573a\u5b9a\u4ef7\u6743\u3002<\/strong> MIT\u534f\u8bae\u610f\u5473\u7740\u4efb\u4f55\u4eba\u53ef\u4ee5\u514d\u8d39\u4f7f\u7528\u6a21\u578b\u6743\u91cd\uff0c\u667a\u8c31\u7684\u5546\u4e1a\u56de\u62a5\u53ea\u80fd\u6765\u81ea\u670d\u52a1\u5c42\u7684API\u548cAgent——\u5728\u4e00\u4e2a\u4e3b\u8981\u7ade\u4e89\u5bf9\u624b\u628aToken\u5b9a\u4ef7\u538b\u5230\u56fd\u9645\u7ade\u54c1\u5341\u5206\u4e4b\u4e00\u7684\u5e02\u573a\u91cc\uff0c\u63d0\u4ef7\u7684\u7a7a\u95f4\u5929\u7136\u53d7\u9650\u3002\u53e6\u5916\uff0cGLM-5.1\u7684\u5168\u94fe\u8def\u8bad\u7ec3\u6df1\u5ea6\u7ed1\u5b9a\u534e\u4e3a\u6607\u817e910B\uff0c\u4f9b\u5e94\u94fe\u96c6\u4e2d\u5316\u98ce\u9669\u771f\u5b9e\u5b58\u5728\uff0c\u58c1\u4ede\u79d1\u6280\u3001\u6d77\u5149DCU\u7b49\u5382\u5546\u867d\u5df2\u5b8c\u6210Day-0\u9002\u914d\uff0c\u4f46“\u9002\u914d\u5b8c\u6210”\u4e0e“\u597d\u7528”\u4e4b\u95f4\u7684\u8ddd\u79bb\uff0c\u4ecd\u5f85\u771f\u5b9e\u4e1a\u52a1\u9a8c\u8bc1\u3002<\/p>\n

Anthropic\u95ed\u6e90\u8def\u7ebf\u7684\u9690\u60a3\u5728\u4e8e\uff1a\u5b89\u5168\u7ea6\u675f\u4e0e\u5b9e\u7528\u80fd\u529b\u4e4b\u95f4\u7684\u5f20\u529b\u6b63\u5728\u663e\u73b0\u3002<\/strong> \u8fd1\u671fClaude Code\u9677\u5165“\u601d\u8003\u6df1\u5ea6\u9aa4\u964d67%”\u7684\u4e89\u8bae——AMD AI\u603b\u76d1Stella Laurenzo\u57fa\u4e8e6852\u6761\u4f1a\u8bdd\u65e5\u5fd7\u516c\u5f00\u6307\u63a7\u5176\u601d\u8003\u6df1\u5ea6\u9aa4\u964d\uff0c\u66b4\u9732\u4e86\u5b89\u5168\u62a4\u680f\u5bf9\u6a21\u578b\u80fd\u529b\u7684\u5b9e\u8d28\u6027\u538b\u5236\u3002\u95ed\u6e90\u8def\u7ebf\u7684\u4ee3\u4ef7\u662f\uff1a\u4f60\u4e3a\u5b89\u5168\u4ea4\u7684\u6bcf\u4e00\u5206\u5b66\u8d39\uff0c\u90fd\u4f1a\u88ab\u7528\u6237\u611f\u77e5\u5230\u3002<\/p>\n

\u63d0\u4ef7\u662f\u4fe1\u53f7\uff0c\u4f46\u76c8\u5229\u62d0\u70b9\u4ecd\u5728\u8fdc\u5904<\/h2>\n

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