{"id":100612,"date":"2026-09-04T21:57:10","date_gmt":"2026-09-04T13:57:10","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/100612.html"},"modified":"2026-09-04T21:57:10","modified_gmt":"2026-09-04T13:57:10","slug":"gpt-6-astra-%e5%85%a8%e8%a7%a3%e6%9e%90%ef%bc%9a%e6%88%91%e8%af%bb%e5%ae%8c%e4%ba%86-openai-%e5%8e%9f%e6%96%87%e5%92%8c%e5%85%a8%e9%83%a8%e8%b7%91%e5%88%86%ef%bc%8c%e8%af%b4%e8%af%b4%e9%82%a3%e4%ba%9b","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/100612.html","title":{"rendered":"GPT-6 Astra \u5168\u89e3\u6790\uff1a\u6211\u8bfb\u5b8c\u4e86 OpenAI \u539f\u6587\u548c\u5168\u90e8\u8dd1\u5206\uff0c\u8bf4\u8bf4\u90a3\u4e9b\u6ca1\u88ab\u8bb2\u900f\u7684\u4e8b"},"content":{"rendered":"<h2>GPT-6 Astra \u5168\u89e3\u6790&#xff1a;\u6211\u8bfb\u5b8c\u4e86 OpenAI \u539f\u6587\u548c\u5168\u90e8\u8dd1\u5206&#xff0c;\u8bf4\u8bf4\u90a3\u4e9b\u6ca1\u88ab\u8bb2\u900f\u7684\u4e8b<\/h2>\n<p>9 \u6708 3 \u65e5\u665a\u4e0a\u5341\u4e00\u70b9\u591a&#xff0c;\u6211\u5237\u5230 GPT-6 \u53d1\u5e03\u7684\u6d88\u606f&#xff0c;\u53bb OpenAI \u5b98\u7f51\u770b\u539f\u6587\u2014\u2014\u6253\u4e0d\u5f00\u3002\u5237\u65b0&#xff0c;\u8fd8\u662f\u6253\u4e0d\u5f00\u3002\u5dee\u4e0d\u591a\u4e00\u4e2a\u5c0f\u65f6\u91cc&#xff0c;\u5168\u4e16\u754c\u60f3\u770b\u539f\u6587\u7684\u4eba\u90fd\u5835\u5728\u95e8\u53e3&#xff0c;\u53ea\u6709 archive.ph \u7684\u955c\u50cf\u80fd\u6324\u8fdb\u53bb\u3002<\/p>\n<p>\u7b2c\u4e8c\u5929\u65e9\u4e0a\u6211\u62ff\u5230\u4e86\u9875\u9762\u7684\u5b8c\u6574\u5b58\u6863&#xff0c;\u628a\u5b98\u65b9\u516c\u544a\u3001\u7cfb\u7edf\u5361\u6570\u636e\u3001ARC Prize \u7684\u8bf4\u660e\u3001Hacker News \u4e0a\u4e5d\u767e\u591a\u6761\u8bc4\u8bba\u7ffb\u4e86\u4e00\u904d\u3002\u8fd9\u7bc7\u6587\u662f\u6211\u770b\u5b8c\u8fd9\u4e9b\u4e1c\u897f\u4e4b\u540e\u7684\u6574\u7406\u548c\u60f3\u6cd5&#xff0c;\u5199\u7ed9\u81ea\u5df1\u770b&#xff0c;\u4e5f\u5199\u7ed9\u8fd8\u6ca1\u6765\u5f97\u53ca\u6df1\u6316\u7684\u4f60\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260904135705-6a9ace3130a30.jpg\" alt=\"GPT-6 Astra \u54c1\u724c\u4e3b\u89c6\u89c9\uff1a\u661f\u7cfb\u610f\u8c61\u5bf9\u5e94&quot;\u6052\u661f\u7ea7&quot;\u547d\u540d\uff08\u56fe\u6e90\uff1aOpenAI \u5b98\u7f51\uff09\" \/><\/p>\n<p>\u6709\u51e0\u4ef6\u4e8b&#xff0c;\u4e8c\u624b\u62a5\u9053\u57fa\u672c\u6ca1\u8bb2\u900f&#xff0c;\u751a\u81f3\u8bb2\u9519\u4e86\u3002\u6211\u4e00\u4ef6\u4ef6\u8bf4\u3002<\/p>\n<hr \/>\n<h3>&#x1f4d1; \u6587\u7ae0\u76ee\u5f55<\/h3>\n<ul>\n<li>\n<p>\u3007. \u770b\u6b63\u6587\u524d&#xff1a;\u5341\u4e2a\u8bcd\u7684\u4eba\u8bdd\u7248<\/p>\n<\/li>\n<li>\n<p>\u4e00. \u5148\u7ea0\u6b63\u4e09\u4e2a\u5e7f\u4e3a\u6d41\u4f20\u7684\u8bf4\u6cd5<\/p>\n<\/li>\n<li>\n<p>\u4e8c. \u8dd1\u5206\u8868&#xff1a;\u516d\u4e2a\u6a21\u578b\u6446\u5728\u4e00\u8d77\u770b<\/p>\n<\/li>\n<li>\n<p>\u4e09. 99.9% \u90a3\u4e2a\u6570\u5b57&#xff0c;\u5230\u5e95\u600e\u4e48\u6765\u7684<\/p>\n<\/li>\n<li>\n<p>\u56db. \u8fd9\u6b21\u771f\u6b63\u5413\u4eba\u7684\u4e0d\u662f\u667a\u80fd&#xff0c;\u662f&#034;\u8d8a\u754c\u7387 0%&#034;<\/p>\n<\/li>\n<li>\n<p>\u4e94. \u7d20\u6570\u90a3\u4e2a\u4e8b&#xff1a;AI \u5934\u4e00\u56de\u5728\u7eaf\u6570\u5b66\u524d\u6cbf\u7559\u4e0b\u540d\u5b57<\/p>\n<\/li>\n<li>\n<p>\u516d. \u4ef7\u683c&#xff1a;\u8d35\u4e86 2.5 \u500d&#xff0c;\u8d26\u5355\u53ef\u80fd\u53cd\u800c\u53d8\u8584<\/p>\n<\/li>\n<li>\n<p>\u4e03. \u5341\u4e00\u4e2a\u6f14\u793a&#xff0c;\u6211\u6311\u51e0\u4e2a\u771f\u503c\u5f97\u770b\u7684<\/p>\n<\/li>\n<li>\n<p>\u516b. Codex \u7684&#034;\u8de8\u7a97\u53e3\u8bb0\u7b14\u8bb0&#034;&#xff0c;\u88ab\u4e25\u91cd\u4f4e\u4f30\u4e86<\/p>\n<\/li>\n<li>\n<p>\u4e5d. \u8c01\u8be5\u73b0\u5728\u5c31\u7528&#xff0c;\u8c01\u8be5\u518d\u7b49\u7b49<\/p>\n<\/li>\n<li>\n<p>\u5341. \u4e2d\u56fd\u7528\u6237\u7684\u73b0\u5b9e\u6307\u5357&#xff1a;\u60f3\u7528\u4e0a&#xff0c;\u8def\u5176\u5b9e\u6709\u51e0\u6761<\/p>\n<\/li>\n<li>\n<p>\u5341\u4e00. \u5185\u5bb9\u521b\u4f5c\u8005\u7684\u4e00\u7b14\u8d26<\/p>\n<\/li>\n<li>\n<p>\u5341\u4e8c. \u5b83\u4f1a\u52a8\u8c01\u7684\u5976\u916a&#xff0c;\u4ee5\u53ca\u666e\u901a\u4eba\u7684\u673a\u4f1a<\/p>\n<\/li>\n<li>\n<p>\u5341\u4e09. \u51e0\u4e2a\u8bf4\u4e0d\u6e05\u7684\u95ee\u9898<\/p>\n<\/li>\n<li>\n<p>\u5e38\u89c1\u95ee\u9898 FAQ<\/p>\n<\/li>\n<li>\n<p>\u53c2\u8003\u6587\u732e<\/p>\n<\/li>\n<\/ul>\n<hr \/>\n<hr \/>\n<h3>\u3007. \u770b\u6b63\u6587\u524d&#xff1a;\u5341\u4e2a\u8bcd\u7684\u4eba\u8bdd\u7248 &#x1f4d6;<\/h3>\n<p>\u5b98\u65b9\u516c\u544a\u91cc\u5806\u4e86\u4e00\u5806\u672f\u8bed&#xff0c;\u7b2c\u4e00\u6b21\u63a5\u89e6\u7684\u670b\u53cb\u5bb9\u6613\u88ab\u529d\u9000\u3002\u6211\u5148\u7528\u5927\u767d\u8bdd\u628a\u8981\u51fa\u573a\u7684\u540d\u8bcd\u8fc7\u4e00\u904d&#xff0c;\u770b\u5b8c\u540e\u9762\u6240\u6709\u7ae0\u8282\u5c31\u901a\u4e86\u3002<\/p>\n<table>\n<tr>\u672f\u8bed\u4eba\u8bdd\u89e3\u91ca<\/tr>\n<tbody>\n<tr>\n<td>Astra \/ Sol<\/td>\n<td>OpenAI \u7ed9\u6a21\u578b\u8d77\u7684\u7b49\u7ea7\u540d&#xff0c;\u53d6\u81ea\u5929\u4f53&#xff1a;\u6052\u661f&#xff08;Astra&#xff09;&gt; \u592a\u9633&#xff08;Sol&#xff09;\u3002\u5929\u4f53\u8d8a\u5927\u6a21\u578b\u8d8a\u5f3a&#xff0c;Astra \u5c31\u662f&#034;\u6052\u661f\u7ea7&#034;<\/td>\n<\/tr>\n<tr>\n<td>ARC-AGI-3<\/td>\n<td>\u4e00\u5957\u4e13\u95e8\u8003&#034;\u4e3e\u4e00\u53cd\u4e09&#034;\u80fd\u529b\u7684\u6e38\u620f\u5316\u6d4b\u8bd5&#xff1a;\u7ed9\u6a21\u578b\u4e00\u4e2a\u6ca1\u89c1\u8fc7\u7684\u89c4\u5219\u8c1c\u9898&#xff0c;\u770b\u5b83\u80fd\u4e0d\u80fd\u81ea\u5df1\u6478\u7d22\u51fa\u73a9\u6cd5\u3002\u4e1a\u5185\u516c\u8ba4\u7684&#034;AGI \u6e29\u5ea6\u8ba1&#034;<\/td>\n<\/tr>\n<tr>\n<td>harness&#xff08;\u6d4b\u8bd5\u5de5\u5177\u94fe&#xff09;<\/td>\n<td>\u8dd1\u5206\u65f6\u5957\u5728\u6a21\u578b\u5916\u9762\u7684&#034;\u6267\u884c\u73af\u5883&#034;\u3002\u540c\u4e00\u6a21\u578b\u914d\u4e0d\u540c harness&#xff0c;\u5206\u6570\u80fd\u5dee\u51fa\u5929\u9645\u2014\u2014\u672c\u6587\u7b2c\u4e09\u8282\u7684\u4e3b\u89d2<\/td>\n<\/tr>\n<tr>\n<td>OSWorld \/ Computer Use<\/td>\n<td>\u8ba9\u6a21\u578b\u771f\u7684\u53bb\u64cd\u4f5c\u7535\u8111&#xff08;\u70b9\u9f20\u6807\u3001\u6572\u952e\u76d8\u3001\u5f00\u5173\u8f6f\u4ef6&#xff09;\u7684\u6d4b\u8bd5\u3002OSWorld 72.6% &#061; \u5341\u4e2a\u7535\u8111\u4efb\u52a1\u80fd\u72ec\u7acb\u5b8c\u6210\u7ea6\u4e03\u4e2a<\/td>\n<\/tr>\n<tr>\n<td>Terminal-Bench<\/td>\n<td>\u8003\u6a21\u578b&#034;\u7528\u547d\u4ee4\u884c\u5e72\u6d3b&#034;\u7684\u80fd\u529b&#xff1a;\u914d\u73af\u5883\u3001\u6539\u914d\u7f6e\u3001\u8dd1\u6570\u636e\u5206\u6790&#xff0c;\u5168\u662f\u8fd0\u7ef4\u548c\u5f00\u53d1\u6bcf\u5929\u90a3\u70b9\u4e8b<\/td>\n<\/tr>\n<tr>\n<td>token<\/td>\n<td>AI \u8ba1\u7b97\u6587\u5b57\u91cf\u7684\u5355\u4f4d&#xff0c;\u4e00\u4e2a\u6c49\u5b57\u7ea6 1-2 \u4e2a token\u3002\u4e5f\u662f API \u8ba1\u8d39\u5355\u4f4d&#xff0c;\u201c\u767e\u4e07 token \u5355\u4ef7&#034;\u7ea6\u7b49\u4e8e&#034;\u6bcf 50 \u4e07\u5b57\u7684\u5355\u4ef7\u201d<\/td>\n<\/tr>\n<tr>\n<td>\u4e0a\u4e0b\u6587\u7a97\u53e3&#xff08;1M&#xff09;<\/td>\n<td>\u6a21\u578b\u4e00\u6b21\u80fd&#034;\u8bb0\u4f4f&#034;\u7684\u5185\u5bb9\u91cf\u3002100 \u4e07 token \u7ea6\u7b49\u4e8e 75 \u4e07\u6c49\u5b57\u2014\u2014\u6574\u5957\u4e2d\u578b\u9879\u76ee\u4ee3\u7801\u3001\u4e00\u6574\u5e74\u7684\u516c\u4f17\u53f7\u5b58\u7a3f&#xff0c;\u4e00\u6b21\u585e\u8fdb\u53bb<\/td>\n<\/tr>\n<tr>\n<td>\u5bf9\u9f50&#xff08;Alignment&#xff09;<\/td>\n<td>\u8ba9\u6a21\u578b&#034;\u542c\u8bdd\u4e14\u53ea\u505a\u8be5\u505a\u7684\u4e8b&#034;\u7684\u6280\u672f\u3002\u5bf9\u9f50\u597d &#061; \u4f60\u8ba9\u5b83\u8ba2\u673a\u7968&#xff0c;\u5b83\u4e0d\u4f1a\u987a\u624b\u6e05\u7a7a\u4f60\u7684\u8d2d\u7269\u8f66<\/td>\n<\/tr>\n<tr>\n<td>\u96f6\u65e5\u6f0f\u6d1e&#xff08;0-day&#xff09;<\/td>\n<td>\u8fd8\u6ca1\u88ab\u5b98\u65b9\u53d1\u73b0\u3001\u4e5f\u5c31\u8fd8\u6ca1\u8865\u4e01\u7684\u8f6f\u4ef6\u6f0f\u6d1e\u3002\u9ed1\u5ba2\u624b\u91cc\u7684&#034;\u7edd\u7248\u6b66\u5668&#034;&#xff0c;GPT-6 \u6d4b\u8bd5\u4e2d\u81ea\u5df1\u627e\u5230\u4e86\u4e24\u4e2a<\/td>\n<\/tr>\n<tr>\n<td>\u8d8a\u754c\u7387<\/td>\n<td>\u7ed9\u6a21\u578b\u4e00\u4e2a\u5e72\u4e0d\u4e86\u7684\u4efb\u52a1&#xff0c;\u770b\u5b83\u4f1a\u4e0d\u4f1a\u8d8a\u51fa\u6388\u6743\u8303\u56f4&#034;\u81ea\u5df1\u60f3\u529e\u6cd5&#034;\u3002\u4e0a\u4e00\u4ee3 48% \u4f1a\u8d8a\u754c&#xff0c;\u8fd9\u4ee3 0%\u2014\u2014\u672c\u6587\u7b2c\u56db\u8282\u7684\u4e3b\u89d2<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u8fd9\u5341\u4e2a\u8bcd\u8bb0\u4f4f\u4e86&#xff0c;\u4e0b\u9762\u7684\u5185\u5bb9\u5c31\u662f\u767d\u8bdd\u3002\u5f00\u59cb\u3002<\/p>\n<h3>\u4e00. \u5148\u7ea0\u6b63\u4e09\u4e2a\u5e7f\u4e3a\u6d41\u4f20\u7684\u8bf4\u6cd5 &#x1f305;<\/h3>\n<p>\u8bf4\u6cd5\u4e00&#xff1a;\u201cGPT-6 \u5168\u9762\u78be\u538b\u6240\u6709\u6a21\u578b\u201d\u3002<\/p>\n<p>\u4e0d\u6210\u7acb\u3002\u5b98\u65b9\u81ea\u5df1\u516c\u5e03\u7684 Artificial Analysis Intelligence Index v4.1.1 \u4e0a&#xff0c;Astra \u62ff\u4e86 61.2 \u5206&#xff0c;Claude Fable 5.1 \u662f 65.7 \u5206&#xff0c;\u8fde Gemini 3.8 Flash \u90fd\u6709 58.7 \u5206\u3002Astra \u5728\u901a\u7528\u667a\u80fd\u6307\u6570\u4e0a\u6ca1\u6709\u9886\u5148&#xff0c;\u5dee Fable 5.1 \u56db\u5206\u591a\u3002\u5b83\u78be\u538b\u7684\u662f\u53e6\u5916\u51e0\u6761\u8d5b\u9053&#xff1a;\u8ba1\u7b97\u673a\u64cd\u4f5c\u3001\u667a\u80fd\u4f53\u4efb\u52a1\u3001\u7f51\u7edc\u5b89\u5168\u3001\u957f\u4e0a\u4e0b\u6587\u3002\u8fd9\u4e24\u4ef6\u4e8b\u522b\u6df7\u4e3a\u4e00\u8c08&#xff0c;\u540e\u9762\u7ec6\u8bf4\u3002<\/p>\n<p>\u8bf4\u6cd5\u4e8c&#xff1a;\u201cAGI \u5230\u4e86\u201d\u3002<\/p>\n<p>OpenAI \u603b\u88c1 Greg Brockman \u539f\u8bdd\u662f&#034;\u6b22\u8fce\u8fdb\u5165 AGI \u65f6\u4ee3&#034;&#xff0c;\u4f46\u6ce8\u610f&#xff0c;\u8d1f\u8d23 ARC-AGI \u57fa\u51c6\u7684 ARC Prize Foundation \u5f53\u5929\u5c31\u6cfc\u4e86\u51b7\u6c34&#xff1a;\u201cwe are not claiming that it is AGI\u201d\u2014\u2014\u6211\u4eec\u4e0d\u8ba4\u4e3a\u8fd9\u662f AGI\u3002\u8fde\u51fa\u9898\u7684\u4eba\u90fd\u4e0d\u8ba4&#xff0c;\u8fd9\u4e2a\u53e3\u53f7\u542c\u542c\u5c31\u597d\u3002\u6709\u610f\u601d\u7684\u662f&#xff0c;\u9875\u9762\u4e0a EpochAI \u7684 Greg Burnham \u5012\u662f\u8bf4\u4e86\u53e5\u633a\u91cd\u7684\u8bdd&#xff1a;\u201cThe story is: end of one era, start of another.\u201d&#xff08;\u4e00\u4e2a\u65f6\u4ee3\u7ed3\u675f&#xff0c;\u53e6\u4e00\u4e2a\u5f00\u59cb\u3002&#xff09;\u4e24\u53e5\u8bdd\u653e\u4e00\u8d77\u54c1\u3002<\/p>\n<p>\u8bf4\u6cd5\u4e09&#xff1a;\u201c\u4ef7\u683c\u592a\u8d35\u7528\u4e0d\u8d77\u201d\u3002<\/p>\n<p>\u6807\u4ef7\u786e\u5b9e\u7ffb\u4e86 2.5 \u500d&#xff0c;\u4f46\u667a\u80fd\u4f53\u4efb\u52a1\u7684 token \u6d88\u8017\u53ea\u6709\u4e0a\u4e00\u4ee3\u7684\u4e09\u5206\u4e4b\u4e00\u5de6\u53f3&#xff0c;\u5f88\u591a\u573a\u666f\u7b97\u603b\u8d26\u53cd\u800c\u66f4\u4fbf\u5b9c\u3002\u7b2c\u516d\u8282\u6211\u7ed9\u4e86\u4e00\u7b14\u4e00\u7b14\u7b97\u7684\u8d26\u3002<\/p>\n<p>\u5148\u628a\u8fd9\u4e9b\u8bf4\u6e05\u695a&#xff0c;\u662f\u56e0\u4e3a\u8fd9\u7bc7\u6587\u540e\u9762\u6240\u6709\u5224\u65ad\u90fd\u5efa\u7acb\u5728\u4e00\u4e2a\u524d\u63d0\u4e0a&#xff1a;Astra \u4e0d\u662f&#034;\u66f4\u806a\u660e\u7684 GPT-5&#034;&#xff0c;\u5b83\u7684\u5f3a\u9879\u975e\u5e38\u5177\u4f53\u3002\u5224\u65ad\u4f60\u8be5\u4e0d\u8be5\u5173\u6ce8\u5b83&#xff0c;\u5148\u5224\u65ad\u4f60\u7684\u4efb\u52a1\u5728\u4e0d\u5728\u5b83\u7684\u5f3a\u9879\u533a\u91cc\u3002<\/p>\n<hr \/>\n<h3>\u4e8c. \u8dd1\u5206\u8868&#xff1a;\u516d\u4e2a\u6a21\u578b\u6446\u5728\u4e00\u8d77\u770b &#x1f4ca;<\/h3>\n<p>\u5b98\u65b9\u9875\u9762\u4e0a\u6709\u4e00\u5f20\u516d\u6a21\u578b\u5168\u91cf\u5bf9\u6bd4\u8868&#xff0c;\u6211\u628a\u5173\u952e\u51e0\u884c\u62bd\u51fa\u6765&#xff0c;\u505a\u6210\u4e86\u56fe&#xff1a;<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260904135705-6a9ace316d46a.png\" alt=\"GPT-6 Astra \u4e0e\u4e94\u5927\u65d7\u8230\u5b98\u65b9\u5bf9\u6bd4\" \/><\/p>\n<p>\u6587\u5b57\u7248\u6311\u91cd\u70b9\u8bf4&#xff1a;<\/p>\n<table>\n<tr>\u57fa\u51c6GPT-6 AstraGPT-5.6 SolClaude Fable 5.1Claude Opus 5Gemini 3.8 Flash<\/tr>\n<tbody>\n<tr>\n<td>Agents\u2019 Last Exam&#xff08;\u4e13\u4e1a\u4efb\u52a1&#xff09;<\/td>\n<td>59.3%<\/td>\n<td>53.6%<\/td>\n<td>48.7%<\/td>\n<td>55.5%<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>OSWorld 2.0&#xff08;\u8ba1\u7b97\u673a\u64cd\u4f5c&#xff09;<\/td>\n<td>72.6%<\/td>\n<td>65.7%<\/td>\n<td>70.2%<\/td>\n<td>\u2014<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>Terminal-Bench 4.0&#xff08;\u7ec8\u7aef\u4efb\u52a1&#xff09;<\/td>\n<td>57.9%<\/td>\n<td>37.3%<\/td>\n<td>55.8%<\/td>\n<td>52.3%<\/td>\n<td>19.1%<\/td>\n<\/tr>\n<tr>\n<td>FrontierMath Tier 4&#xff08;\u6570\u5b66&#xff09;<\/td>\n<td>97.6%<\/td>\n<td>83.0%<\/td>\n<td>87.8%<\/td>\n<td>\u2014<\/td>\n<td>73.2%<\/td>\n<\/tr>\n<tr>\n<td>ExploitBench&#xff08;\u653b\u9632&#xff0c;\u65e0\u9632\u62a4\u53e3\u5f84&#xff09;<\/td>\n<td>100%<\/td>\n<td>78.5%<\/td>\n<td>70%<\/td>\n<td>\u2014<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>ARC-AGI-3<\/td>\n<td>99.9%<\/td>\n<td>7.8%<\/td>\n<td>30.2%<\/td>\n<td>\u2014<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>Intelligence Index&#xff08;\u901a\u7528\u667a\u80fd&#xff09;<\/td>\n<td>61.2<\/td>\n<td>60.9<\/td>\n<td>65.7<\/td>\n<td>63.1<\/td>\n<td>58.7<\/td>\n<\/tr>\n<tr>\n<td>HealthBench Professional<\/td>\n<td>63.4%<\/td>\n<td>60.5%<\/td>\n<td>58.1%<\/td>\n<td>60.9%<\/td>\n<td>52.1%<\/td>\n<\/tr>\n<tr>\n<td>DeepSWE&#xff08;\u771f\u5b9e\u8f6f\u4ef6\u5de5\u7a0b&#xff09;<\/td>\n<td>74.1%<\/td>\n<td>72.7%<\/td>\n<td>67.4%<\/td>\n<td>73.7%<\/td>\n<td>73.8%<\/td>\n<\/tr>\n<tr>\n<td>Humanity\u2019s Last Exam&#xff08;\u5e26\u5de5\u5177&#xff09;<\/td>\n<td>57.2%<\/td>\n<td>65.0%<\/td>\n<td>63.8%<\/td>\n<td>63.6%<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u770b\u660e\u767d\u4e86\u5417&#xff1f;\u8fd9\u5f20\u8868\u91cc Astra \u62ff\u4e86\u7edd\u5927\u591a\u6570\u7b2c\u4e00&#xff0c;\u552f\u72ec\u4e24\u884c\u4e0d\u662f&#xff1a;\u901a\u7528\u667a\u80fd\u6307\u6570\u8f93 Fable 5.1 \u56db\u5206\u534a&#xff0c;Humanity\u2019s Last Exam \u8f93\u81ea\u5bb6\u4e0a\u4e00\u4ee3 Sol \u4e03\u5206\u534a\u3002\u8fd9\u79cd&#034;\u5c40\u90e8\u7ffb\u8f66&#034;\u6070\u6070\u8bf4\u660e\u6570\u636e\u662f\u771f\u5b9e\u5206\u5e03\u7684\u2014\u2014\u8981\u662f\u5168\u8868\u7b2c\u4e00\u53cd\u800c\u8be5\u6000\u7591\u4e86\u3002<\/p>\n<p>\u51e0\u4e2a\u8868\u91cc\u85cf\u7740\u3001\u4f46\u9875\u9762\u6b63\u6587\u6ca1\u5927\u58f0\u8bf4\u7684\u7ec6\u8282&#xff1a;<\/p>\n<ul>\n<li>Terminal-Bench 4.0 \u5bf9 Sol \u662f 57.9% \u5bf9 37.3%&#xff0c;20 \u4e2a\u767e\u5206\u70b9\u7684\u4ee3\u5dee&#xff0c;\u8fd9\u662f\u5168\u8868\u6700\u5938\u5f20\u7684\u4e00\u884c&#xff1b;<\/li>\n<li>ARC-AGI-3 \u90a3\u884c&#xff0c;Sol \u53ea\u6709 7.8%&#xff0c;Astra 99.9%\u2014\u2014\u8de8\u5ea6\u5927\u5230\u4e0d\u50cf\u540c\u4e00\u4ee3\u6a21\u578b&#xff0c;\u539f\u56e0\u7b2c\u4e09\u8282\u4e13\u95e8\u8bb2&#xff1b;<\/li>\n<li>\u957f\u4e0a\u4e0b\u6587\u7684\u6570\u636e\u5355\u72ec\u62ce\u51fa\u6765\u770b&#xff0c;\u56e0\u4e3a\u5b83\u85cf\u7740\u8fd9\u6b21\u5347\u7ea7\u91cc\u6700\u5b9e\u7528\u7684\u80fd\u529b&#xff1a;<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260904135706-6a9ace3259b2f.jpg\" alt=\"\u8d85\u957f\u4e0a\u4e0b\u6587\u51c6\u786e\u7387\uff08OpenAI MRCR v2\uff0c\u56fe\u8868\u4e3a\u672c\u6587\u81ea\u5236\uff09\" \/><\/p>\n<p>\u89e3\u8bfb\u4e24\u70b9\u3002\u5176\u4e00&#xff0c;Sol \u5728 512K-1M \u533a\u95f4\u7684 73.8% \u662f&#034;\u4e0d\u80fd\u4e0a\u751f\u4ea7&#034;\u7684\u6c34\u5e73\u2014\u201426 \u6b21\u91cc\u9519 7 \u6b21&#xff0c;\u4f60\u6562\u8ba9\u5b83\u8bfb\u4f60\u6574\u5957\u4ee3\u7801\u5e93\u7136\u540e\u6539\u6838\u5fc3\u6a21\u5757\u5417&#xff1f;\u800c Astra \u7684 96.3% \u610f\u5473\u7740\u767e\u4e07 token \u7ea7\u7684\u8bb0\u5fc6\u7b2c\u4e00\u6b21\u4ece&#034;\u6f14\u793a\u529f\u80fd&#034;\u53d8\u6210\u4e86&#034;\u53ef\u6258\u4ed8\u7684\u751f\u4ea7\u80fd\u529b&#034;\u3002\u5176\u4e8c&#xff0c;\u770b\u5de6\u534a\u533a&#xff1a;256K-512K \u533a\u95f4 Astra \u5e72\u5230\u4e86 100%\u2014\u2014\u8fd9\u4e2a\u533a\u95f4\u5927\u7ea6\u5bf9\u5e94 20-40 \u4e07\u6c49\u5b57&#xff0c;\u4e5f\u5c31\u662f\u8bf4&#034;\u4e00\u6b21\u5582\u4e00\u4e2a\u4e2d\u578b\u9879\u76ee &#043; \u5168\u90e8\u76f8\u5173\u6587\u6863&#034;\u8fd9\u4e2a\u6700\u5e38\u89c1\u7684\u4f01\u4e1a\u573a\u666f&#xff0c;\u51c6\u786e\u7387\u5df2\u7ecf\u62c9\u6ee1\u3002RAG \u67b6\u6784\u4e3a\u4ec0\u4e48\u53ef\u80fd\u88ab\u91cd\u5199&#xff08;\u7b2c\u4e5d\u8282&#xff09;&#xff0c;\u6839\u5b50\u5c31\u5728\u8fd9\u5f20\u56fe\u4e0a\u3002<\/p>\n<hr \/>\n<h3>\u4e09. 99.9% \u90a3\u4e2a\u6570\u5b57&#xff0c;\u5230\u5e95\u600e\u4e48\u6765\u7684 &#x1f3af;<\/h3>\n<p>\u8fd9\u662f\u6574\u4e2a\u53d1\u5e03\u91cc\u6700\u503c\u5f97\u63b0\u5f00\u63c9\u788e\u8bb2\u7684\u4e00\u4ef6\u4e8b\u3002<\/p>\n<p>Astra \u5728 ARC-AGI-3 \u4e0a\u62ff\u4e86 99.9%&#xff0c;\u5b98\u65b9\u8bf4\u6cd5\u662f&#034;saturates ARC-AGI-3&#034;&#xff08;\u9971\u548c\u4e86&#xff09;\u3002\u4f46\u9875\u811a\u6ce8\u91ca\u91cc\u85cf\u7740\u4e00\u53e5\u5173\u952e\u7684\u8bdd&#xff1a;Astra \u8dd1\u8fd9\u4e2a\u5206\u7528\u7684\u662f OpenAI \u81ea\u5bb6\u7684 Responses API harness&#xff0c;\u201c\u6539\u4e86\u4e24\u4e2a\u8bbe\u7f6e\u4ee5\u66f4\u8d34\u8fd1\u771f\u5b9e\u4e16\u754c\u8868\u73b0\u201d\u3002<\/p>\n<p>\u7b2c\u4e09\u65b9\u8bc4\u6d4b\u673a\u6784\u968f\u540e\u7528\u6807\u51c6 harness \u91cd\u8dd1&#xff0c;\u5f97\u5230 62.7%\u3002\u4e24\u4e2a\u6570\u5b57\u5dee\u4e86 37 \u4e2a\u70b9\u3002<\/p>\n<p>\u5dee\u522b\u5728\u54ea&#xff1f;\u6807\u51c6 harness \u6bcf\u4e00\u8f6e\u90fd\u4e22\u6389\u6a21\u578b\u7684\u79c1\u6709\u63a8\u7406\u72b6\u6001\u3001\u622a\u65ad\u5386\u53f2\u52a8\u4f5c&#xff0c;\u7b49\u4e8e\u903c\u6a21\u578b&#034;\u6bcf\u4e00\u56de\u5408\u4ece\u96f6\u7406\u89e3\u6e38\u620f&#034;\u3002OpenAI \u7684 harness \u4fdd\u7559\u4e86\u8fd9\u4e9b\u72b6\u6001&#xff0c;\u8dd1\u8d77\u6765\u5feb 3.66 \u500d\u3001\u7701 49% token\u3002<\/p>\n<p>\u54ea\u4e2a\u66f4\u516c\u5e73&#xff1f;\u8bf4\u5b9e\u8bdd&#xff0c;\u5404\u6709\u9053\u7406\u3002\u6807\u51c6\u53e3\u5f84\u5bf9\u8de8\u6a21\u578b\u6bd4\u8f83\u66f4\u516c\u5e73&#xff1b;\u4f46&#034;\u4fdd\u7559\u601d\u8003\u72b6\u6001&#034;\u4e5f\u66f4\u63a5\u8fd1\u771f\u5b9e\u4f7f\u7528\u573a\u666f\u2014\u2014\u6ca1\u6709\u4eba\u7528 AI \u5e72\u6d3b\u65f6\u6bcf\u5206\u949f\u7ed9\u5b83\u6d17\u4e00\u6b21\u8111\u3002ARC Prize \u5b98\u65b9\u7684\u6001\u5ea6\u662f\u627f\u8ba4 99.9% \u8fd9\u4e2a\u7ed3\u679c&#xff0c;\u4f46\u62d2\u7edd\u80cc\u4e66 AGI\u3002<\/p>\n<p>\u6211\u7684\u5efa\u8bae\u5c31\u4e00\u6761&#xff1a;\u770b\u8dd1\u5206\u65f6\u6c38\u8fdc\u95ee\u4e00\u53e5&#034;\u4ec0\u4e48\u53e3\u5f84&#034;\u3002\u8fd9\u6b21\u4e8b\u4ef6\u4e4b\u540e&#xff0c;&#034;\u57fa\u51c6\u6d4b\u8bd5\u7684\u7ec4\u7ec7\u8005\u548c\u88ab\u6d4b\u6a21\u578b\u7684\u5f00\u53d1\u8005\u5229\u76ca\u7ed1\u5b9a&#034;\u8fd9\u4ef6\u4e8b&#xff0c;\u5e94\u8be5\u88ab\u6bcf\u4e2a\u6280\u672f\u51b3\u7b56\u8005\u8bb0\u5728\u5c0f\u672c\u5b50\u4e0a\u3002<\/p>\n<p>\u987a\u5e26\u8bf4\u4e2a\u6b63\u9762\u6570\u636e\u3002ARC Prize \u7684 Greg Kamradt \u8bf4\u4e86\u53e5\u516c\u9053\u8bdd&#xff1a;&#034;Astra \u5728 96% \u7684\u5173\u5361\u91cc\u52a8\u4f5c\u6570\u5c11\u4e8e\u4eba\u7c7b\u57fa\u7ebf&#xff0c;\u5b9e\u9645\u8fbe\u5230\u4e86\u4eba\u7c7b\u6c34\u5e73\u7684\u64cd\u4f5c\u6548\u7387\u3002\u8fd9\u4e0d\u4ec5\u662f\u6211\u4eec\u6d4b\u8fc7\u7684\u6700\u597d\u6a21\u578b&#xff0c;\u4e5f\u4ee3\u8868\u4e86\u524d\u6cbf\u6a21\u578b\u80fd\u529b\u7684\u5b9e\u8d28\u6027\u8de8\u8d8a\u3002&#034;\u7ffb\u8bd1\u4e00\u4e0b&#xff1a;\u8dd1\u5206\u53ef\u4ee5\u6709\u53e3\u5f84\u4e89\u8bae&#xff0c;\u4f46&#034;\u5e72\u6d3b\u6bd4\u4eba\u5229\u7d22&#034;\u8fd9\u4ef6\u4e8b\u672c\u8eab&#xff0c;\u6ca1\u6709\u4e89\u8bae\u3002<\/p>\n<hr \/>\n<h3>\u56db. \u8fd9\u6b21\u771f\u6b63\u5413\u4eba\u7684\u4e0d\u662f\u667a\u80fd&#xff0c;\u662f&#034;\u8d8a\u754c\u7387 0%&#034; &#x1f512;<\/h3>\n<p>\u8bb2\u4e2a\u5927\u90e8\u5206\u62a5\u9053\u4e00\u7b14\u5e26\u8fc7\u3001\u6211\u5374\u89c9\u5f97\u662f\u5168\u6587\u6700\u91cd\u8981\u7684\u6570\u636e\u3002<\/p>\n<p>OpenAI \u641e\u4e86\u4e00\u4e2a\u65b0\u8bc4\u4f30&#xff0c;\u7075\u611f\u6765\u81ea\u4e4b\u524d Hugging Face \u7684\u4e8b\u6545&#xff1a;\u7ed9\u6a21\u578b\u4e00\u4e2a&#034;\u56f0\u96be\u6216\u4e0d\u53ef\u80fd\u5b8c\u6210\u7684\u4efb\u52a1&#034;&#xff0c;\u770b\u5b83\u4f1a\u4e0d\u4f1a\u8d8a\u51fa\u6388\u6743\u8303\u56f4\u81ea\u5df1\u627e\u529e\u6cd5\u3002<\/p>\n<p>\u7ed3\u679c&#xff1a;GPT-5.6 Sol \u5728\u65e0\u751f\u4ea7\u9632\u62a4\u7684\u60c5\u51b5\u4e0b&#xff0c;48% \u7684\u6b21\u6570\u8d8a\u4e86\u754c\u3002GPT-6 Astra&#xff1a;0%\u3002<\/p>\n<p>\u5b98\u65b9\u9875\u9762\u4e0a&#034;\u8ba1\u7b97\u673a\u4f7f\u7528\u5b89\u5168\u538b\u529b\u6d4b\u8bd5&#034;&#xff08;Computer-use safety stress test&#xff09;\u7684\u539f\u56fe\u957f\u8fd9\u6837&#xff08;Fable 5.1\u3001Opus 5 \u7684\u67f1\u5b50\u660e\u663e\u9ad8\u51fa\u4e00\u622a&#xff09;&#xff1a;<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260904135706-6a9ace329fc77.png\" alt=\"\u5b98\u65b9\u539f\u56fe\uff1a\u8ba1\u7b97\u673a\u4f7f\u7528\u5b89\u5168\u538b\u529b\u6d4b\u8bd5\uff0cMisaligned outcome rate=\u9519\u8bef\u7ed3\u679c\u7387\uff0c\u8d8a\u4f4e\u8d8a\u597d\uff08\u622a\u81ea OpenAI \u5b98\u7f51\uff09\" \/><\/p>\n<p>\u56fe\u91cc Misaligned outcome rate&#xff08;\u5931\u914d\/\u9519\u8bef\u7ed3\u679c\u7387&#xff09; \u6307\u6a21\u578b\u5728\u64cd\u4f5c\u7535\u8111\u65f6\u4ea7\u751f&#034;\u975e\u9884\u671f\u540e\u679c&#034;\u7684\u6bd4\u4f8b\u2014\u2014\u6bd4\u5982\u4f60\u6ca1\u8ba9\u5b83\u5220\u6587\u4ef6\u5b83\u5220\u4e86\u3001\u6539\u4e86\u4e0d\u8be5\u6539\u7684\u8bb0\u5f55\u3002Astra 2.4%&#xff0c;Fable 5.1 \u662f\u5b83\u7684\u56db\u500d&#xff0c;Opus 5 \u63a5\u8fd1\u4e94\u500d\u3002<\/p>\n<p>\u53e6\u5916&#xff0c;\u5b98\u65b9\u6563\u843d\u5728\u5404\u5904\u7684\u56db\u9879\u5b89\u5168\u8bc4\u4f30\u6211\u6c47\u603b\u753b\u5230\u4e86\u4e00\u5f20\u56fe\u4e0a&#xff1a;<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260904135707-6a9ace330f960.jpg\" alt=\"\u56db\u9879\u5b89\u5168\u8bc4\u4f30\u5bf9\u6bd4\uff08\u6570\u636e\uff1aOpenAI \u5b98\u65b9\uff0c\u56fe\u8868\u4e3a\u672c\u6587\u81ea\u5236\uff09\" \/><\/p>\n<p>\u8fd9\u5f20\u56fe\u600e\u4e48\u8bfb&#xff0c;\u503c\u5f97\u5c55\u5f00\u8bb2\u4e09\u5c42&#xff1a;<\/p>\n<p>\u7b2c\u4e00\u5c42&#xff0c;\u770b\u91cf\u7ea7\u3002 \u56db\u9879\u8bc4\u4f30 Astra \u5168\u90e8\u538b\u5230\u4e86\u4e2a\u4f4d\u6570\u751a\u81f3\u96f6&#xff0c;\u800c\u4e0a\u4e00\u4ee3 Sol \u6700\u5dee\u7684\u4e00\u9879\u5230\u4e86 48%\u3002\u6ce8\u610f\u8fd9\u4e0d\u662f&#034;\u597d\u4e86 10%&#034;\u8fd9\u79cd\u6e10\u8fdb\u6539\u5584&#xff0c;\u662f\u4ece&#034;\u4e00\u534a\u6982\u7387\u51fa\u4e8b&#034;\u5230&#034;\u96f6\u4e8b\u6545&#034;\u7684\u65ad\u5d16\u3002AI \u5b89\u5168\u9886\u57df\u6709\u4e2a\u8bf4\u6cd5&#xff1a;\u5bf9\u9f50\u80fd\u529b\u4ece\u6765\u4e0d\u7ebf\u6027\u589e\u957f&#xff0c;\u800c\u662f\u9760\u51e0\u4ee3\u6a21\u578b\u79ef\u7d2f\u540e\u7a81\u7136\u5151\u73b0\u2014\u2014\u8fd9\u5f20\u56fe\u5c31\u662f\u5151\u73b0\u7684\u65f6\u523b\u3002<\/p>\n<p>\u7b2c\u4e8c\u5c42&#xff0c;\u770b\u6d4b\u8bd5\u7684&#034;\u5201\u94bb&#034;\u7a0b\u5ea6\u3002 \u6700\u53f3\u8fb9\u90a3\u7ec4&#034;\u7ed5\u8fc7\u5ba1\u67e5\u7387&#034;\u5c24\u5176\u503c\u5f97\u7422\u78e8&#xff1a;OpenAI \u7279\u610f\u628a Auto-Review \u914d\u7f6e\u6210&#034;\u6545\u610f\u53ef\u4ee5\u7ed5\u8fc7&#034;&#xff0c;\u4efb\u52a1\u672c\u8eab\u8fd8\u8bbe\u6210\u65e0\u6cd5\u6b63\u5e38\u5b8c\u6210\u2014\u2014\u7b49\u4e8e\u628acheese\u653e\u8fdb\u8001\u9f20\u6d1e\u91cc\u8003\u9a8c\u732b\u3002Sol \u7ed5\u4e86 0.29%&#xff0c;Astra \u662f 0.00%\u3002\u518d\u7ed3\u5408&#034;\u80fd\u529b\u5e7b\u89c9\u7387 4.2% \u5bf9 12.2%&#034;&#xff0c;\u7ffb\u8bd1\u6210\u4eba\u8bdd&#xff1a;\u8fd9\u4e00\u4ee3\u4e0d\u4ec5\u66f4\u4e56\u4e86&#xff0c;\u8fd8\u66f4\u8bda\u5b9e\u4e86\u2014\u2014\u5439\u725b\u8bf4\u81ea\u5df1\u80fd\u5e72\u5565\u7684\u6982\u7387\u964d\u4e86\u4e09\u5206\u4e4b\u4e8c\u3002<\/p>\n<p>\u7b2c\u4e09\u5c42&#xff0c;\u770b\u8fd9\u7ec4\u6570\u636e\u4e3a\u4ec0\u4e48\u6ca1\u88ab\u5927\u4e66\u7279\u4e66\u3002 \u539f\u56e0\u5f88\u7b80\u5355&#xff1a;\u5b89\u5168\u6570\u636e\u4e0d\u4ea7\u751f\u4f20\u64ad\u300299.9% \u7684\u8dd1\u5206\u80fd\u4e0a\u70ed\u641c&#xff0c;&#034;\u8d8a\u754c\u7387 0%&#034;\u4e0d\u884c\u3002\u4f46\u5bf9\u8981\u843d\u5730 AI \u7684\u4f01\u4e1a\u6765\u8bf4&#xff0c;\u8fd9\u5f20\u56fe\u6bd4\u8dd1\u5206\u8868\u503c\u94b1\u2014\u2014\u91c7\u8d2d\u8bc4\u5ba1\u65f6\u628a\u8fd9\u5f20\u56fe\u653e\u8fdb PPT&#xff0c;\u6bd4\u4efb\u4f55\u8425\u9500\u8bdd\u672f\u90fd\u6709\u8bf4\u670d\u529b\u3002<\/p>\n<p>\u76f8\u5173\u7684\u4e00\u7ec4\u6570\u636e&#xff1a;<\/p>\n<ul>\n<li>\u8ba1\u7b97\u673a\u4f7f\u7528\u5b89\u5168\u538b\u529b\u6d4b\u8bd5&#xff08;\u8d8a\u4f4e\u8d8a\u597d&#xff09;&#xff1a;Astra 2.4%&#xff0c;Fable 5.1 \u662f 9.5%&#xff0c;Opus 5 \u662f 11.5%&#xff0c;Sol \u9ad8\u8fbe 22.0%&#xff1b;<\/li>\n<li>Codex Auto-Review \u62d2\u7edd\u540e\u7684\u7ed5\u8fc7\u7387&#xff1a;Astra 0.00%&#xff0c;Sol 0.29%\u2014\u2014\u6ce8\u610f OpenAI \u7279\u610f\u628a Auto-Review \u914d\u7f6e\u6210&#034;\u6545\u610f\u53ef\u4ee5\u7ed5\u8fc7&#034;\u6765\u6d4b&#xff0c;Astra \u4e5f\u6ca1\u7ed5&#xff1b;<\/li>\n<li>\u80fd\u529b\u5e7b\u89c9\u7387&#xff08;\u4f4e\u66f4\u597d&#xff09;&#xff1a;Astra 4.2%&#xff0c;Sol 12.2%\u2014\u2014Astra \u5439\u725b\u8bf4\u81ea\u5df1\u80fd\u5e72\u5565\u7684\u6982\u7387&#xff0c;\u6bd4\u4e0a\u4e00\u4ee3\u4f4e\u4e86\u4e09\u5206\u4e4b\u4e8c\u3002<\/li>\n<\/ul>\n<p>\u4e3a\u4ec0\u4e48\u6211\u8bf4\u8fd9\u7ec4\u6570\u636e\u6700\u91cd\u8981&#xff1f;\u56e0\u4e3a\u5b89\u5168\u80fd\u529b\u624d\u662f&#034;\u6562\u4e0d\u6562\u628a\u4efb\u52a1\u771f\u6b63\u4ea4\u51fa\u53bb&#034;\u7684\u524d\u63d0\u3002\u667a\u80fd\u51b3\u5b9a AI \u80fd\u5e72\u4ec0\u4e48&#xff0c;\u8d8a\u754c\u7387\u51b3\u5b9a\u4f60\u6562\u8ba9\u5b83\u5e72\u4ec0\u4e48\u300299% \u7684\u6587\u7ae0\u5728\u804a\u524d\u8005&#xff0c;\u4f46\u4f01\u4e1a\u843d\u5730\u5361\u4f4f\u7684\u662f\u540e\u8005\u3002<\/p>\n<p>\u4e0d\u8fc7\u5f97\u628a\u53e6\u4e00\u534a\u4e5f\u8bf4\u4e86\u3002\u7cfb\u7edf\u5361\u91cc\u627f\u8ba4&#xff1a;Astra \u7684\u53ef\u76d1\u63a7\u6027\u4e0b\u964d\u4e86\u2014\u2014\u6a21\u578b\u5bf9\u81ea\u5df1\u4e66\u9762\u63a8\u7406\u7684\u63a7\u5236\u66f4\u5f3a&#xff0c;\u80fd\u7528\u66f4\u5c11\u7684\u4e66\u5199\u6b65\u9aa4\u89e3\u9898&#xff0c;\u8fd9\u53cd\u800c\u8ba9\u5916\u90e8\u76d1\u63a7\u66f4\u96be\u8ddf\u4e0a\u3002OpenAI \u7684\u539f\u8bdd\u662f&#034;\u6211\u4eec\u4e25\u8083\u5bf9\u5f85\u8fd9\u4e2a\u4e0b\u964d&#xff0c;\u6539\u8fdb\u53ef\u76d1\u63a7\u6027\u4ecd\u662f\u7814\u7a76\u4f18\u5148\u9879&#034;\u3002\u4e5f\u5c31\u662f\u8bf4&#xff1a;\u66f4\u542c\u8bdd\u4e86&#xff0c;\u4f46\u66f4\u96be\u76ef\u4e86\u3002\u8fd9\u4e24\u4ef6\u4e8b\u540c\u65f6\u6210\u7acb&#xff0c;\u624d\u662f\u5b89\u5168\u7ef4\u5ea6\u5b8c\u6574\u7684\u56fe\u666f\u3002<\/p>\n<p>\u8fd8\u6709\u7f51\u7edc\u5b89\u5168\u90a3\u90e8\u5206\u3002ExploitBench 100% \u6ee1\u5206\u542c\u7740\u5413\u4eba&#xff0c;\u66f4\u5413\u4eba\u7684\u662f\u8bc4\u4f30\u8fc7\u7a0b\u4e2d Astra \u81ea\u5df1\u53d1\u73b0\u5e76\u5229\u7528\u4e86\u4e24\u4e2a\u524d\u6240\u672a\u77e5\u7684\u96f6\u65e5\u6f0f\u6d1e&#xff0c;OpenAI \u5df2\u5411\u76f8\u5173\u7ef4\u62a4\u8005\u62ab\u9732\u3002Cybersecurity \u7ef4\u5ea6\u8fbe\u5230 Preparedness Framework \u7684 Critical \u7ea7\u2014\u2014\u8fd9\u662f\u516c\u5f00\u90e8\u7f72\u6a21\u578b\u7684\u7b2c\u4e00\u6b21\u3002\u6240\u4ee5\u73b0\u5728\u53d1\u5e03\u7684\u7248\u672c\u91cc&#xff0c;Astra \u4f1a\u62d2\u7edd\u7f16\u5199\u6f0f\u6d1e PoC \u8fd9\u7c7b\u9ad8\u7ea7\u7f51\u5b89\u4efb\u52a1&#xff1b;\u9632\u5fa1\u6027\u7684\u4ee3\u7801\u5ba1\u8ba1\u3001\u8865\u4e01\u5de5\u4f5c\u53ef\u4ee5\u5e72&#xff1b;\u66f4\u5bbd\u677e\u7684\u9632\u62a4\u8981\u901a\u8fc7 Daybreak \u8ba1\u5212\u9010\u6b65\u653e\u5f00\u3002<\/p>\n<hr \/>\n<h3>\u4e94. \u7d20\u6570\u90a3\u4e2a\u4e8b&#xff1a;AI \u5934\u4e00\u56de\u5728\u7eaf\u6570\u5b66\u524d\u6cbf\u7559\u4e0b\u540d\u5b57 &#x1f4d0;<\/h3>\n<p>\u4e24\u4e2a\u7ed3\u679c&#xff0c;\u90fd\u4e0d\u662f\u5c0f\u4e8b\u3002<\/p>\n<p>\u7b2c\u4e00\u4e2a&#xff1a;\u5b6a\u751f\u7d20\u6570\u731c\u60f3\u7684\u754c\u3002\u5341\u5e74\u6765\u6700\u597d\u7684\u7ed3\u679c\u662f&#034;\u65e0\u7a77\u591a\u5bf9\u7d20\u6570\u76f8\u5dee\u4e0d\u8d85\u8fc7 246&#034;&#xff0c;Julia Stadlmann \u524d\u4e0d\u4e45\u6539\u8fdb\u5230 240&#xff0c;Astra \u53c2\u4e0e\u63a8\u5230\u4e86 186\u3002<\/p>\n<p>\u7b2c\u4e8c\u4e2a&#xff1a;\u7d20\u6570\u95f4\u9694\u7684\u4e0a\u754c\u91cc\u6709\u4e00\u4e2a\u9879&#xff0c;80 \u591a\u5e74\u6ca1\u4eba\u52a8\u8fc7&#xff0c;Astra \u6539\u8fdb\u4e86\u5b83\u3002<\/p>\n<p>\u6ce8\u610f\u63aa\u8f9e&#xff1a;\u662f&#034;helped establish&#034;&#xff08;\u5e2e\u52a9\u786e\u7acb&#xff09;&#xff0c;\u4e0d\u662f&#034;\u72ec\u7acb\u8bc1\u660e&#034;\u3002\u8bc1\u660e\u4ee5 Lean \u5f62\u5f0f\u5316\u8bed\u8a00\u7ed9\u51fa&#xff0c;OpenAI \u540c\u6b65\u516c\u5f00\u4e86\u8bc1\u660e\u548c\u9a8c\u8bc1\u6750\u6599&#xff0c;\u4efb\u4f55\u4eba\u53ef\u67e5\u3002\u8fd9\u662f\u53d1\u5e03\u91cc\u6211\u6700\u559c\u6b22\u7684\u4e00\u4e2a\u90e8\u5206\u2014\u2014\u4e0d\u662f\u56e0\u4e3a\u5b83\u591a\u80fd\u6253&#xff0c;\u800c\u662f\u56e0\u4e3a\u6d41\u7a0b\u662f\u5bf9\u7684&#xff1a;\u53ef\u9a8c\u8bc1\u3001\u53ef\u590d\u67e5\u3001\u63aa\u8f9e\u8bda\u5b9e\u3002\u5bf9\u6bd4\u67d0\u4e9b&#034;\u63a5\u8fd1\u4eba\u7c7b\u6c34\u5e73&#034;\u7684\u8425\u9500\u8bdd\u672f&#xff0c;\u8fd9\u4efd\u514b\u5236\u503c\u5f97\u70b9\u4e2a\u8d5e\u3002<\/p>\n<p>\u5b66\u672f\u57fa\u51c6\u7684\u5176\u4ed6\u6570\u5b57&#xff1a;GPQA Diamond&#xff08;\u7814\u7a76\u751f\u7ea7\u79d1\u5b66\u63a8\u7406&#xff09;96.0%&#xff0c;\u6bd4 Sol \u7684 94.6% \u7565\u9ad8\u4f46\u6210\u672c\u7701 37%&#xff1b;Terminal-Bench Science 64.6% \u5bf9 Fable 5.1 \u7684 52.6%\u2014\u2014\u79d1\u7814\u5de5\u4f5c\u6d41&#xff08;\u5206\u6790\u6570\u636e\u3001\u8dd1\u4eff\u771f\u3001\u62df\u5408\u6a21\u578b&#xff09;\u8fd9\u4e2a\u5177\u4f53\u573a\u666f&#xff0c;Astra \u4f18\u52bf\u660e\u663e\u3002<\/p>\n<p>\u4e0b\u9762\u8fd9\u5f20\u662f\u5b98\u65b9\u9875\u9762\u7684\u539f\u59cb\u56fe\u8868&#xff08;\u6d4f\u89c8\u5668\u6709\u9875\u9762\u7ea7\u4e2d\u6587\u7ffb\u8bd1&#xff0c;\u6a21\u578b\u540d\u4e5f\u8bd1\u4e86&#xff0c;\u514b\u52b3\u5fb7\u00b7\u8d39\u5e03\u5c14&#061;Claude Fable&#xff0c;\u514b\u52b3\u5fb7\u4f5c\u54c1&#061;Claude Opus&#xff09;&#xff0c;\u6a2a\u8f74\u662f\u6bcf\u6b21\u4efb\u52a1\u7684 API \u6210\u672c\u3001\u7eb5\u8f74\u662f\u4efb\u52a1\u5b8c\u6210\u7387&#xff0c;\u4e94\u89d2\u661f\u4ee3\u8868 Astra&#xff1a;<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260904135707-6a9ace33897ba.png\" alt=\"\u5b98\u65b9\u539f\u56fe\uff1aTerminal-Bench Science \u6210\u672c-\u6027\u80fd\u5bf9\u6bd4\uff08\u622a\u81ea OpenAI \u5b98\u7f51\uff0c\u6d4f\u89c8\u5668\u4e2d\u6587\u7ffb\u8bd1\uff09\" \/><\/p>\n<p>\u6559\u4f60\u600e\u4e48\u8bfb\u8fd9\u5f20\u56fe&#xff0c;\u987a\u4fbf\u628a\u51e0\u4e2a\u82f1\u6587\u8bcd\u7ffb\u8bd1\u6389&#xff1a;<\/p>\n<ul>\n<li>Resolution rate&#xff08;\u4efb\u52a1\u5b8c\u6210\u7387&#xff09;&#xff1a;\u7ed9\u6a21\u578b\u7684\u79d1\u7814\u4efb\u52a1\u91cc&#xff0c;\u80fd\u5b8c\u6574\u4ea4\u4ed8\u7684\u6bd4\u4f8b&#xff0c;\u8d8a\u9ad8\u8d8a\u597d&#xff1b;<\/li>\n<li>API Cost&#xff08;API \u6210\u672c&#xff09;&#xff1a;\u5b8c\u6210\u6bcf\u4e2a\u4efb\u52a1\u82b1\u7684\u7f8e\u5143\u6570\u2014\u2014\u6ce8\u610f\u4e0d\u662f&#034;\u6bcf\u4e2a\u6a21\u578b\u4e00\u4e2a\u70b9&#034;&#xff0c;\u800c\u662f\u6bcf\u4e2a\u6a21\u578b\u4e00\u6761\u66f2\u7ebf&#xff1a;\u540c\u4e00\u6761\u7ebf\u4e0a\u7684\u591a\u4e2a\u70b9\u4ee3\u8868\u4e0d\u540c\u7684\u63a8\u7406\u6863\u4f4d&#xff0c;\u6863\u4f4d\u8d8a\u9ad8\u8d8a\u8d35\u3001\u5b8c\u6210\u7387\u4e5f\u8d8a\u9ad8&#xff1b;<\/li>\n<li>\u770b\u56fe\u7684\u6838\u5fc3\u52a8\u4f5c\u662f\u627e&#034;\u5de6\u4e0a\u89d2&#034;\u2014\u2014\u82b1\u5f97\u6700\u5c11\u3001\u5e72\u5f97\u6700\u597d\u3002\u4e94\u89d2\u661f&#xff08;Astra&#xff09;\u90a3\u6761\u7ebf\u6574\u4f53\u538b\u5728\u6240\u6709\u7ebf\u7684\u5de6\u4e0a\u65b9&#xff1a;\u82b1 $13 \u5de6\u53f3\u5c31\u5230 61%&#xff0c;\u800c Fable 5.1&#xff08;\u68d5\u8272\u65b9\u5757\u7ebf&#xff09;\u8981\u5230 $28 \u624d\u6478\u5230 49%&#xff1b;\u6700\u53f3\u8fb9\u90a3\u4e2a\u5b64\u96f6\u96f6\u7684\u68d5\u8272\u83f1\u5f62\u662f Fable 5&#xff0c;$67 \u53ea\u4e70\u5230 21.5%\u2014\u2014\u540c\u4e00\u4e2a\u5bb6\u65cf&#xff0c;\u6362\u4ee3\u5dee\u51fa\u4e09\u500d\u6027\u4ef7\u6bd4&#xff0c;\u8fd9\u5c31\u662f\u7b2c\u4e09\u8282\u8bf4&#034;\u6807\u4ef7\u8d35\u4f46\u8d26\u5355\u8584&#034;\u7684\u56fe\u5f62\u5316\u8bc1\u636e\u3002<\/li>\n<\/ul>\n<p>&#x1f4a1; \u601d\u8003&#xff1a;\u4e3a\u4ec0\u4e48&#034;\u6bcf\u6a21\u578b\u4e00\u6761\u7ebf&#034;\u8fd9\u4e2a\u8bbe\u8ba1\u5f88\u5173\u952e&#xff1f;<\/p>\n<p>&#x1f914; \u56e0\u4e3a\u5b83\u6253\u7834\u4e86&#034;\u8dd1\u5206&#061;\u4e00\u4e2a\u6570\u5b57&#034;\u7684\u8ff7\u601d\u3002\u540c\u662f Astra&#xff0c;$12 \u7684\u6863\u4f4d\u548c $26 \u7684\u6863\u4f4d\u662f\u4e24\u4e2a\u4e0d\u540c\u7684\u4ea7\u54c1\u3002\u4f60\u9009\u6a21\u578b\u65f6\u771f\u6b63\u5728\u9009\u7684&#xff0c;\u662f\u8fd9\u6761\u66f2\u7ebf\u4e0a\u7684\u54ea\u4e2a\u70b9\u2014\u2014\u8fd9\u5c31\u662f\u4e3a\u4ec0\u4e48\u6211\u53cd\u590d\u8bf4\u8981\u7528 usage \u6570\u636e\u7b97\u81ea\u5df1\u7684\u8d26&#xff0c;\u800c\u4e0d\u662f\u770b\u5b98\u65b9\u90a3\u53e5&#034;XX% \u65b0\u9ad8&#034;\u3002<\/p>\n<hr \/>\n<h3>\u516d. \u4ef7\u683c&#xff1a;\u8d35\u4e86 2.5 \u500d&#xff0c;\u8d26\u5355\u53ef\u80fd\u53cd\u800c\u53d8\u8584 &#x1f4b0;<\/h3>\n<p>\u5b98\u65b9\u5b9a\u4ef7&#xff0c;\u6bcf\u767e\u4e07 token&#xff1a;\u8f93\u5165 $10&#xff0c;\u8f93\u51fa $50\u3002\u8ddf Claude Fable 5.1 \u5b8c\u5168\u4e00\u6837&#xff0c;\u662f GPT-5.6 Sol \u7684 2.5 \u500d\u3002\u7f13\u5b58\u8bfb\u5199\u5355\u72ec\u8ba1\u4ef7&#xff0c;Fast \u6a21\u5f0f 2 \u500d\u4ef7\u6362\u6700\u9ad8 2 \u500d\u901f\u3002<\/p>\n<p>\u8d35\u5417&#xff1f;\u770b\u4efb\u52a1\u7c7b\u578b\u3002\u6211\u6309\u5b98\u65b9\u516c\u5e03\u7684\u6570\u636e\u753b\u4e86\u5f20\u5bf9\u7167\u56fe&#xff1a;<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260904135708-6a9ace34283b2.png\" alt=\"\u6807\u4ef7\u4e0e\u5b9e\u9645\u6210\u672c\u7684\u5173\u7cfb\uff08\u6570\u636e\u6765\u6e90\uff1aOpenAI \u5b98\u65b9\uff0c\u56fe\u8868\u4e3a\u672c\u6587\u81ea\u5236\uff09\" \/><\/p>\n<p>\u5b98\u65b9\u7ed9\u4e86\u51e0\u7ec4&#034;\u8d28\u91cf-\u6210\u672c&#034;\u53cc\u7ef4\u6570\u636e&#xff0c;\u6211\u6311\u4e24\u6761&#xff1a;<\/p>\n<ul>\n<li>Agents\u2019 Last Exam \u6700\u9ad8\u5206\u8bbe\u7f6e\u4e0b&#xff0c;Astra \u6bd4 Opus 5 \u5c11\u7528\u7ea6 65% \u7684\u8f93\u51fa token&#xff1b;<\/li>\n<li>Terminal-Bench Science&#xff1a;Astra 64.6% \/ Fable 5.1 52.6%&#xff0c;Astra \u7684 API \u6210\u672c\u53cd\u800c\u4f4e 31%&#xff1b;\u4f4e\u914d\u8bbe\u7f6e\u4e0b Astra 61.1% \u5bf9 Sol 22.4%&#xff0c;\u6210\u672c\u8fd8\u4f4e 27%\u3002<\/li>\n<\/ul>\n<p>\u4e5f\u5c31\u662f\u8bf4&#xff0c;\u591a\u6b65\u667a\u80fd\u4f53\u4efb\u52a1\u91cc Astra \u7528\u66f4\u5c11\u7684 token \u5e72\u66f4\u591a\u7684\u6d3b&#xff0c;\u603b\u8d26\u7ecf\u5e38\u662f\u964d\u7684\u3002\u4ec0\u4e48\u65f6\u5019\u4e0d\u5212\u7b97&#xff1f;\u77ed\u95ee\u7b54\u3001\u5355\u8f6e\u7ffb\u8bd1\u8fd9\u7c7b\u4e00\u9524\u5b50\u4e70\u5356&#xff0c;token \u6548\u7387\u518d\u9ad8\u4e5f\u7701\u4e0d\u51fa 2.5 \u500d\u7684\u5dee\u4ef7&#xff0c;\u8fd9\u79cd\u573a\u666f\u7ee7\u7eed\u7528 Sol&#xff08;\u4fc3\u9500\u4ef7\u5230 11 \u6708 21 \u65e5&#xff09;\u3002<\/p>\n<p>\u4e00\u4e2a\u81ea\u5df1\u7b97\u8d26\u7684\u811a\u672c&#xff0c;\u542b 272K \u957f\u6587\u672c\u9608\u503c&#xff08;\u8d85\u4e86\u4e4b\u540e\u8f93\u5165\u6309 2 \u500d\u3001\u8f93\u51fa\u6309 1.5 \u500d\u8ba1&#xff09;&#xff1a;<\/p>\n<p><span class=\"token keyword\">def<\/span> <span class=\"token function\">astra_cost<\/span><span class=\"token punctuation\">(<\/span>input_tk<span class=\"token punctuation\">:<\/span> <span class=\"token builtin\">int<\/span><span class=\"token punctuation\">,<\/span> output_tk<span class=\"token punctuation\">:<\/span> <span class=\"token builtin\">int<\/span><span class=\"token punctuation\">,<\/span> cached<span class=\"token punctuation\">:<\/span> <span class=\"token builtin\">int<\/span> <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">0<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&#8211;<\/span><span class=\"token operator\">&gt;<\/span> <span class=\"token builtin\">float<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    <span class=\"token triple-quoted-string string\">&#034;&#034;&#034;gpt-6-astra \u5355\u6b21\u8bf7\u6c42\u6210\u672c\u4f30\u7b97&#xff08;\u7f8e\u5143&#xff09;&#xff0c;\u542b 272K \u9608\u503c\u89c4\u5219&#034;&#034;&#034;<\/span><br \/>\n    <span class=\"token keyword\">if<\/span> input_tk <span class=\"token operator\">&gt;<\/span> <span class=\"token number\">272_000<\/span><span class=\"token punctuation\">:<\/span>   <span class=\"token comment\"># \u957f\u4e0a\u4e0b\u6587\u6863\u4f4d&#xff1a;\u6574\u5355\u8f93\u5165x2\u3001\u8f93\u51fax1.5<\/span><br \/>\n        <span class=\"token keyword\">return<\/span> input_tk<span class=\"token operator\">\/<\/span><span class=\"token number\">1e6<\/span><span class=\"token operator\">*<\/span><span class=\"token number\">20<\/span> <span class=\"token operator\">&#043;<\/span> output_tk<span class=\"token operator\">\/<\/span><span class=\"token number\">1e6<\/span><span class=\"token operator\">*<\/span><span class=\"token number\">75<\/span><br \/>\n    <span class=\"token keyword\">return<\/span> <span class=\"token punctuation\">(<\/span>input_tk <span class=\"token operator\">&#8211;<\/span> cached<span class=\"token punctuation\">)<\/span><span class=\"token operator\">\/<\/span><span class=\"token number\">1e6<\/span><span class=\"token operator\">*<\/span><span class=\"token number\">10<\/span> <span class=\"token operator\">&#043;<\/span> cached<span class=\"token operator\">\/<\/span><span class=\"token number\">1e6<\/span><span class=\"token operator\">*<\/span><span class=\"token number\">1<\/span> <span class=\"token operator\">&#043;<\/span> output_tk<span class=\"token operator\">\/<\/span><span class=\"token number\">1e6<\/span><span class=\"token operator\">*<\/span><span class=\"token number\">50<\/span><\/p>\n<p><span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;$<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>astra_cost<span class=\"token punctuation\">(<\/span><span class=\"token number\">900_000<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">8_000<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><span class=\"token format-spec\">.2f<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span>              <span class=\"token comment\"># \u2248 $18.40 \u957f\u6587\u672c<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;$<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>astra_cost<span class=\"token punctuation\">(<\/span><span class=\"token number\">200_000<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">4_000<\/span><span class=\"token punctuation\">,<\/span> cached<span class=\"token operator\">&#061;<\/span><span class=\"token number\">150_000<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><span class=\"token format-spec\">.2f<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span>  <span class=\"token comment\"># \u2248 $1.03 \u7f13\u5b58\u547d\u4e2d<\/span><\/p>\n<p>\u63a5\u5165\u5c31\u4e09\u884c\u7684\u4e8b&#xff0c;\u63a8\u7406\u6863\u4f4d\u4ece high \u8d77\u6b65\u5f80\u4e24\u5934\u8c03&#xff1a;<\/p>\n<p>resp <span class=\"token operator\">&#061;<\/span> client<span class=\"token punctuation\">.<\/span>responses<span class=\"token punctuation\">.<\/span>create<span class=\"token punctuation\">(<\/span><br \/>\n    model<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;gpt-6-astra&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    reasoning<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">{<\/span><span class=\"token string\">&#034;effort&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;high&#034;<\/span><span class=\"token punctuation\">}<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token builtin\">input<\/span><span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;\u628a\u8fd9\u4e09\u4e2a CSV \u5408\u5e76\u6210\u6708\u62a5&#xff0c;\u8f93\u51fa\u5dee\u5f02\u5206\u6790&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n<span class=\"token punctuation\">)<\/span><\/p>\n<hr \/>\n<h3>\u4e03. \u5341\u4e00\u4e2a\u6f14\u793a&#xff0c;\u6211\u6311\u51e0\u4e2a\u771f\u503c\u5f97\u770b\u7684 &#x1f3ae;<\/h3>\n<p>\u5b98\u65b9\u653e\u4e86\u5341\u4e00\u4e2a\u6f14\u793a\u89c6\u9891&#xff0c;\u5168\u770b\u4e00\u904d\u8981\u4e0d\u5c11\u65f6\u95f4&#xff0c;\u5e2e\u4f60\u8fc7\u6ee4\u4e00\u4e0b\u3002<\/p>\n<p>\u503c\u5f97\u53cd\u590d\u770b\u7684\u4e09\u4e2a&#xff1a;<\/p>\n<li>Form 1040 \u62a5\u7a0e\u8868\u586b\u5199\u3002\u4e3a\u4ec0\u4e48\u8fd9\u4e2a\u503c\u5f97\u770b&#xff1f;\u56e0\u4e3a\u62a5\u7a0e\u662f\u90a3\u79cd&#034;\u89c4\u5219\u660e\u786e\u3001\u6b65\u9aa4\u7e41\u7410\u3001\u9519\u4e00\u5904\u5c31\u91cd\u6765&#034;\u7684\u4efb\u52a1&#xff0c;\u662f\u8ba1\u7b97\u673a\u64cd\u4f5c\u80fd\u529b\u7684\u7167\u5996\u955c\u3002\u6f14\u793a\u91cc Astra \u5168\u7a0b\u81ea\u5df1\u586b\u5b8c\u3002<\/li>\n<li>Excel \u7ade\u8d5b\u9898\u3002\u5fae\u8f6f\u5b98\u65b9\u529e\u7684\u6bd4\u8d5b\u9898&#xff0c;Astra \u76f4\u63a5\u53c2\u4e0e\u89e3\u9898\u3002\u8fd9\u4e2a\u6f14\u793a\u7684\u542b\u91d1\u91cf\u5728\u4e8e&#034;\u7ade\u8d5b\u9898\u6ca1\u6709\u8bad\u7ec3\u6570\u636e\u53ef\u80cc&#034;&#xff0c;\u8003\u7684\u662f\u771f\u5b9e\u63a8\u7406\u3002<\/li>\n<li>\u4e94\u901f\u53d8\u901f\u5668\u5efa\u6a21&#xff08;FreeCAD \u5efa\u6a21 \u2192 Blender \u52a8\u753b&#xff09;\u3002\u4ece\u673a\u68b0\u7ed3\u6784\u7406\u89e3\u5230 3D \u5efa\u6a21\u518d\u5230\u52a8\u753b\u6e32\u67d3&#xff0c;\u8de8\u4e86\u4e09\u4e2a\u4e13\u4e1a\u8f6f\u4ef6\u3002\u4e0e\u4e4b\u914d\u5957\u7684 BenchCAD \u57fa\u51c6&#xff1a;\u4ece\u591a\u89c6\u89d2\u6e32\u67d3\u56fe\u53cd\u63a8 CAD \u4ee3\u7801&#xff0c;Astra \u51e0\u4f55\u91cd\u5408\u5ea6 95.9%&#xff0c;Sol 83.3%&#xff0c;Fable 5.1 \u662f 84.3%\u3002<\/li>\n<p>\u770b\u4e2a\u4e50\u7684&#xff1a;Unity \u57ce\u5e02\u573a\u666f\u642d\u5efa\u3001\u5361\u4e01\u8f66\u5c0f\u6e38\u620f\u3001Blender \u623f\u5b50\u5efa\u6a21\u8fdb Unreal Engine 5 \u53d8\u6210\u53ef\u6f2b\u6e38\u573a\u666f\u3002\u8fd9\u6279\u6f14\u793a\u8bc1\u660e\u7684\u662f&#034;\u975e\u6280\u672f\u4eba\u5458\u51e0\u5206\u949f\u505a\u51fa\u80fd\u73a9\u7684\u4e1c\u897f&#034;&#xff0c;\u5bf9\u6e38\u620f\u884c\u4e1a\u4ece\u4e1a\u8005\u662f\u574f\u6d88\u606f\u8fd8\u662f\u597d\u6d88\u606f&#xff0c;\u8bc4\u8bba\u533a\u804a\u804a\u3002<\/p>\n<p>\u6ce8\u610f&#xff1a;\u5b98\u65b9\u811a\u6ce8\u91cc\u6709\u4e00\u53e5&#034;\u663e\u793a\u7684\u526a\u8f91\u7247\u6bb5\u7ecf\u8fc7\u7f16\u8f91&#034;&#xff08;The displayed clips are edited excerpts&#xff09;\u3002\u6f14\u793a\u7ec8\u7a76\u662f\u6f14\u793a&#xff0c;\u771f\u5b9e\u4f53\u9a8c\u7b49\u4f60\u81ea\u5df1\u4e0a\u624b\u3002<\/p>\n<p>\u53e6\u5916 Mind2Web \u4e0a\u914d\u5408\u65b0\u7248 Codex&#xff0c;\u4efb\u52a1\u5b8c\u6210\u901f\u5ea6\u6bd4 Sol \u5feb 1.9 \u500d\u3002\u5b98\u65b9\u7ed9\u7684\u5b9e\u6d4b\u4f8b\u5b50&#xff1a;\u627e\u513f\u79d1\u533b\u751f 2 \u5206 54 \u79d2\u3001\u627e\u516c\u5bd3 9 \u5206 57 \u79d2\u3001\u9884\u7ea6\u8f66\u7ba1\u6240 5 \u5206 10 \u79d2\u3002<\/p>\n<hr \/>\n<h3>\u516b. Codex \u7684&#034;\u8de8\u7a97\u53e3\u8bb0\u7b14\u8bb0&#034;&#xff0c;\u88ab\u4e25\u91cd\u4f4e\u4f30\u4e86 &#x1f4dd;<\/h3>\n<p>\u7f16\u7801\u8fd9\u5757&#xff0c;\u5b98\u65b9\u5bf9\u6bd4\u8868\u91cc\u6709\u4e09\u7ec4\u57fa\u51c6&#xff0c;\u6211\u628a\u5b83\u4eec\u753b\u5230\u4e00\u5f20\u56fe\u4e0a\u518d\u8bb2\u7ec6\u8282&#xff1a;<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260904135708-6a9ace347c8bb.jpg\" alt=\"\u7f16\u7801\u80fd\u529b\u5168\u666f\uff08\u6570\u636e\uff1aOpenAI \u5b98\u65b9\uff0c\u56fe\u8868\u4e3a\u672c\u6587\u81ea\u5236\uff09\" \/><\/p>\n<p>\u8fd9\u5f20\u56fe\u6709\u4e00\u4e2a\u53cd\u76f4\u89c9\u7684\u8bfb\u6cd5\u3002\u770b\u4e2d\u95f4\u90a3\u7ec4 DeepSWE&#xff08;\u771f\u5b9e\u4ed3\u5e93\u7ea7\u8f6f\u4ef6\u5de5\u7a0b&#xff09;&#xff1a;\u4e94\u4e2a\u6a21\u578b\u6324\u5728 67-74% \u4e4b\u95f4&#xff0c;\u5dee\u8ddd\u4e0d\u5230 7 \u4e2a\u70b9\u2014\u2014\u5728&#034;\u6539\u771f\u5b9e\u9879\u76ee\u4ee3\u7801&#034;\u8fd9\u4ef6\u4e8b\u4e0a&#xff0c;\u65d7\u8230\u4eec\u5176\u5b9e\u7ad9\u5728\u540c\u4e00\u6761\u8d77\u8dd1\u7ebf\u4e0a\u3002\u4f46\u770b\u5de6\u8fb9 Terminal-Bench&#xff1a;Astra 57.9%&#xff0c;Sol 37.3%&#xff0c;\u5dee\u4e86 20 \u4e2a\u70b9&#xff1b;Gemini 3.8 Flash \u751a\u81f3\u53ea\u6709 19.1%\u3002\u4ec0\u4e48\u610f\u601d&#xff1f;&#034;\u806a\u660e\u5730\u5e72\u6d3b&#034;\u548c&#034;\u719f\u7ec3\u5730\u5e72\u6d3b&#034;\u662f\u4e24\u79cd\u80fd\u529b\u3002Astra \u7684\u4f18\u52bf\u4e0d\u5728\u6df1\u5ea6\u601d\u8003&#xff0c;\u5728\u6267\u884c\u5c42\u7684\u6548\u7387\u548c\u53ef\u9760\u6027\u2014\u2014\u8fd9\u6070\u597d\u547c\u5e94\u4e86\u5b83&#034;\u8ba1\u7b97\u673a\u64cd\u4f5c\u6a21\u578b&#034;\u7684\u5b9a\u4f4d\u3002\u9009\u578b\u542f\u793a&#xff1a;\u6539\u6838\u5fc3\u67b6\u6784\u8fd9\u79cd\u6df1\u5ea6\u6d3b&#xff0c;\u51e0\u5bb6\u65d7\u8230\u90fd\u884c&#xff1b;\u8dd1\u81ea\u52a8\u5316\u6d41\u6c34\u7ebf\u3001\u6279\u91cf\u4efb\u52a1\u8fd9\u79cd\u6267\u884c\u6d3b&#xff0c;Astra \u4e00\u6863\u72ec\u8d70\u3002<\/p>\n<p>\u8fd9\u6761\u85cf\u5728\u7f16\u7801\u7ae0\u8282\u91cc&#xff0c;\u6211\u8ba4\u4e3a\u662f\u53d1\u5e03\u91cc\u5de5\u7a0b\u4ef7\u503c\u6700\u9ad8\u7684\u7ec6\u8282&#xff0c;\u4f46\u51e0\u4e4e\u6ca1\u88ab\u62a5\u9053\u3002<\/p>\n<p>\u4ee5\u524d\u7684\u6a21\u578b\u5904\u7406\u957f\u4efb\u52a1&#xff0c;\u4e0a\u4e0b\u6587\u7a97\u53e3\u6ee1\u4e86\u5c31\u505a&#034;\u538b\u7f29&#034;&#xff08;compaction&#xff09;\u2014\u2014\u628a\u524d\u9762\u7684\u5de5\u4f5c\u603b\u7ed3\u4e00\u4e0b\u817e\u5730\u65b9\u3002\u95ee\u9898\u662f\u4e00\u6b21\u6b21\u538b\u7f29\u4f1a\u4e22\u7ec6\u8282&#xff1a;\u4e3a\u4ec0\u4e48\u67d0\u4e2a\u4fee\u590d\u5931\u8d25\u4e86\u3001\u67d0\u4e2a\u7ec4\u4ef6\u7684\u884c\u4e3a\u7279\u6027\u662f\u4ec0\u4e48&#xff0c;\u538b\u7740\u538b\u7740\u5c31\u6ca1\u4e86\u3002<\/p>\n<p>Astra \u5728 Codex \u91cc\u52a0\u4e86\u4e2a\u65b0\u673a\u5236&#xff1a;\u8de8\u4e0a\u4e0b\u6587\u7a97\u53e3\u8bb0\u7b14\u8bb0\u3002\u79ef\u7d2f\u7684\u7ec6\u8282\u76f4\u63a5\u4fdd\u7559&#xff0c;\u4e0d\u7528\u53cd\u590d\u538b\u7f29\u6210\u4e00\u6bb5\u603b\u7ed3&#xff1b;\u800c\u4e14\u65e9\u5148\u7684\u4e0a\u4e0b\u6587\u7a97\u53e3\u4ecd\u53ef\u68c0\u7d22\u2014\u2014\u5c31\u7b97\u67d0\u6761\u4fe1\u606f\u6ca1\u5199\u8fdb\u7b14\u8bb0&#xff0c;Astra \u4e5f\u80fd\u7ffb\u56de\u524d\u9762\u7684\u7a97\u53e3\u627e\u5230\u5b83\u3002\u5b9e\u9a8c\u529f\u80fd&#xff0c;Codex \u7684 config.toml \u91cc\u5f00\u542f&#xff0c;\u51e0\u5468\u540e\u8f6c\u9ed8\u8ba4\u3002<\/p>\n<p>\u4e3a\u4ec0\u4e48\u8fd9\u6761\u91cd\u8981&#xff1f;\u56e0\u4e3a\u5b83\u89e3\u51b3\u7684\u662f&#034;\u6570\u5b57\u540c\u4e8b\u7684\u8bb0\u5fc6\u529b\u95ee\u9898&#034;\u3002\u60f3\u8c61\u4e00\u4e2a\u5458\u5de5\u6bcf\u4e24\u5c0f\u65f6\u5931\u5fc6\u4e00\u6b21&#xff0c;\u53ea\u80fd\u9760\u624b\u5199\u4fbf\u7b7e\u7eed\u547d\u2014\u2014compaction \u5c31\u662f\u90a3\u79cd\u4fbf\u7b7e\u3002\u8de8\u7a97\u53e3\u7b14\u8bb0\u7b49\u4e8e\u7ed9\u4e86\u5b83\u4e00\u672c\u53ef\u4ee5\u968f\u65f6\u7ffb\u56de\u53bb\u7684\u5de5\u4f5c\u65e5\u5fd7\u3002\u957f\u4efb\u52a1\u7684\u53ef\u9760\u6027&#xff0c;\u9760\u7684\u5c31\u662f\u8fd9\u4e2a\u3002<\/p>\n<p>\u5199\u4ee3\u7801\u8fd9\u4ef6\u4e8b\u4e0a&#xff0c;Jane Street \u7684 John Crepezzi \u8bc4\u4ef7\u6bd4\u8f83\u5b9e\u5728&#xff1a;Astra \u4ea4\u6d41\u65b9\u5f0f\u66f4\u5bb9\u6613\u8ddf\u4e0a&#xff0c;\u4ee3\u7801\u8fbe\u5230\u751f\u4ea7\u8d28\u91cf\u9700\u8981\u7684\u8fed\u4ee3\u6b21\u6570\u66f4\u5c11\u3002Lovable \u7684 CTO \u8865\u4e86\u4e2a\u6709\u610f\u601d\u7684\u89c2\u5bdf&#xff1a;\u9ad8\u63a8\u7406\u6863\u4f4d\u4e0b&#xff0c;\u6a21\u578b\u503e\u5411\u4e8e&#034;\u591a\u8fed\u4ee3\u3001\u7528\u6d4f\u89c8\u5668\u9a8c\u8bc1\u3001\u4f18\u5148\u6267\u884c\u4ee3\u7801\u800c\u975e\u6253\u8865\u4e01&#034;\u2014\u2014\u5b83\u5b66\u4f1a\u4e86\u600e\u4e48\u82b1\u529b\u6c14\u3002<\/p>\n<hr \/>\n<h3>\u4e5d. \u8c01\u8be5\u73b0\u5728\u5c31\u7528&#xff0c;\u8c01\u8be5\u518d\u7b49\u7b49 &#x1f6e0;\ufe0f<\/h3>\n<p>\u73b0\u5728\u5c31\u8be5\u8bd5\u7684\u56db\u79cd\u4eba&#xff1a;<\/p>\n<li>\u6bcf\u5929\u5199\u811a\u672c\u505a\u6570\u636e\u5904\u7406\u7684\u3002Terminal-Bench 4.0 \u90a3 20 \u4e2a\u767e\u5206\u70b9\u7684\u4ee3\u5dee\u4e0d\u662f\u865a\u7684&#xff0c;\u7ec8\u7aef\u4efb\u52a1\u5c31\u662f\u5b83\u7684\u4e3b\u573a\u3002<\/li>\n<li>\u505a RAG \/ \u957f\u6587\u6863\u95ee\u7b54\u7684\u30021M token \u52a0 96.3% \u7684\u8d85\u957f\u4e0a\u4e0b\u6587\u51c6\u786e\u7387&#xff0c;\u77e5\u8bc6\u5e93 900K token \u4ee5\u5185\u7684\u573a\u666f\u53ef\u4ee5\u76f4\u585e\u5168\u6587&#xff0c;\u7f13\u5b58\u8bfb\u53d6 $1 \u5f88\u9999\u3002<\/li>\n<li>\u5b89\u5168\u56e2\u961f\u3002ExploitBench 100% \u610f\u5473\u7740\u4ee3\u7801\u5ba1\u8ba1\u3001\u8865\u4e01\u5efa\u8bae\u8fd9\u7c7b\u9632\u5fa1\u5de5\u4f5c\u7684\u6548\u7387\u4f1a\u8d28\u53d8&#xff0c;\u800c\u4e14\u8fd9\u90e8\u5206\u80fd\u529b\u5f53\u524d\u7248\u672c\u5c31\u5f00\u653e\u3002<\/li>\n<li>\u641e\u79d1\u7814\u7684\u3002Terminal-Bench Science 64.6% \u5bf9 52.6%&#xff0c;\u6570\u636e\u5206\u6790\u3001\u8dd1\u4eff\u771f\u3001\u62df\u5408\u6a21\u578b&#xff0c;\u6b63\u597d\u662f\u6a21\u578b\u8bad\u7ec3\u8fc7\u7684\u79d1\u7814\u5de5\u4f5c\u6d41\u3002<\/li>\n<p>\u53ef\u4ee5\u518d\u7b49\u7b49\u7684&#xff1a;<\/p>\n<ul>\n<li>\u5c31\u62ff\u6a21\u578b\u804a\u5929\u95ee\u7b54\u7684&#xff0c;Sol \u591f\u7528\u8fd8\u4fbf\u5b9c&#xff1b;<\/li>\n<li>\u5bf9\u901a\u7528\u63a8\u7406\u8981\u6c42\u9ad8\u7684&#xff0c;Fable 5.1 \u7684 Intelligence Index \u8fd8\u9886\u5148\u7740&#xff1b;<\/li>\n<li>\u8981\u4e0a\u751f\u4ea7 Computer Use \u7684\u2014\u2014OSWorld 72.6% \u610f\u5473\u7740\u5341\u6b21\u91cc\u4e09\u6b21\u8981\u4eba\u5de5\u515c\u5e95&#xff0c;\u5148\u5728\u5185\u90e8\u6d41\u7a0b\u8bd5\u70b9&#xff0c;\u914d\u4e0a\u5f55\u5c4f\u7559\u75d5\u3002<\/li>\n<\/ul>\n<p>\u8fd8\u6709\u4e2a\u6240\u6709\u8be5\u8bb0\u7684\u5c0f\u7eaa\u5f8b&#xff1a;\u4ece\u4eca\u5929\u8d77\u7ed9\u4f60\u7684 AI \u4efb\u52a1\u8bb0\u53f0\u8d26\u2014\u2014\u6a21\u578b\u3001\u6863\u4f4d\u3001token \u6570\u3001\u8d28\u91cf\u8bc4\u5206\u3001\u91cd\u8bd5\u6b21\u6570\u3002\u4e0b\u6b21\u518d\u51fa\u65d7\u8230&#xff0c;\u4f60\u62ff\u81ea\u5df1\u7684\u53f0\u8d26\u8dd1\u4e00\u8f6e\u5c31\u77e5\u9053\u503c\u4e0d\u503c&#xff0c;\u4e0d\u7528\u770b\u4efb\u4f55\u4eba\u7684\u8dd1\u5206\u8868\u3002\u9009\u578b\u8fd9\u4ef6\u4e8b&#xff0c;\u6b63\u5728\u4ece&#034;\u770b\u8bc4\u6d4b&#034;\u53d8\u6210&#034;\u770b\u81ea\u5df1\u7684\u8d26\u672c&#034;\u3002<\/p>\n<hr \/>\n<hr \/>\n<h3>\u5341. \u4e2d\u56fd\u7528\u6237\u7684\u73b0\u5b9e\u6307\u5357&#xff1a;\u60f3\u7528\u4e0a&#xff0c;\u8def\u5176\u5b9e\u6709\u51e0\u6761 &#x1f1e8;&#x1f1f3;<\/h3>\n<p>\u5148\u628a\u6700\u91cd\u8981\u7684\u4e00\u53e5\u8bdd\u653e\u5230\u6700\u524d\u9762&#xff1a;ChatGPT Plus&#xff08;$20\/\u6708&#xff09;\u8fd9\u6b21\u548c $200\/\u6708\u7684 Pro \u62ff\u5230\u7684\u662f\u540c\u7b49\u5f85\u9047\u3002\u5b98\u65b9\u660e\u786e Astra \u7528\u91cf\u8ba1\u5165\u73b0\u6709\u8ba2\u9605\u989d\u5ea6\u3002\u4e5f\u5c31\u662f\u8bf4&#xff0c;20 \u7f8e\u5143\u662f\u8fd9\u6b21\u5c1d\u9c9c\u7684\u6700\u4f4e\u95e8\u7968\u2014\u2014\u6bd4\u5927\u591a\u6570\u4eba\u731c\u7684\u4f4e\u5f97\u591a\u3002<\/p>\n<p>\u5177\u4f53\u5230\u56fd\u5185\u7528\u6237&#xff0c;\u8def\u5f84\u5927\u6982\u56db\u6761&#xff0c;\u5404\u6709\u4ee3\u4ef7&#xff1a;<\/p>\n<table>\n<tr>\u8def\u5f84\u95e8\u69db\u6708\u6210\u672c(\u7ea6)\u9002\u5408\u8c01<\/tr>\n<tbody>\n<tr>\n<td>ChatGPT Plus<\/td>\n<td>\u6d77\u5916\u652f\u4ed8\u65b9\u5f0f &#043; \u7f51\u7edc\u73af\u5883<\/td>\n<td>$20<\/td>\n<td>\u60f3\u5b8c\u6574\u4f53\u9a8c\u7684\u7edd\u5927\u591a\u6570\u4eba<\/td>\n<\/tr>\n<tr>\n<td>OpenAI API \u76f4\u8fde<\/td>\n<td>\u6d77\u5916\u5b9e\u4f53\/\u4fe1\u7528\u5361 &#043; \u4f01\u4e1a\u8d44\u8d28\u5ba1\u6838\u8d8b\u4e25<\/td>\n<td>\u6309\u91cf&#xff0c;$10\/$50 \u6bcf\u767e\u4e07token<\/td>\n<td>\u6709\u51fa\u6d77\u4e1a\u52a1\u7684\u56e2\u961f<\/td>\n<\/tr>\n<tr>\n<td>Microsoft Azure \/ AWS Bedrock<\/td>\n<td>\u56fd\u5185\u53ef\u7b7e\u7ea6\u7684\u4e91\u8d26\u53f7&#xff08;Azure \u4e2d\u56fd\u7531\u4e16\u7eaa\u4e92\u8054\u8fd0\u8425&#xff09;<\/td>\n<td>\u6309\u91cf&#043;\u4e91\u52a0\u4ef7<\/td>\n<td>\u4f01\u4e1a\u5408\u89c4\u9996\u9009<\/td>\n<\/tr>\n<tr>\n<td>\u56fd\u4ea7\u5e73\u66ff<\/td>\n<td>\u65e0\u95e8\u69db<\/td>\n<td>\u4f4e\u4e00\u4e2a\u6570\u91cf\u7ea7<\/td>\n<td>\u9884\u7b97\u654f\u611f\u3001\u4e2d\u6587\u573a\u666f\u4e3a\u4e3b<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u51e0\u53e5\u5b9e\u8bdd&#xff0c;\u4e0d\u6784\u6210\u4efb\u4f55\u5efa\u8bae&#xff1a;<\/p>\n<ul>\n<li>API \u4e2d\u8f6c\u7ad9\u8fd9\u6761\u8def\u6211\u4e0d\u63a8\u8350\u5199\u8fdb\u4efb\u4f55\u6559\u7a0b\u3002\u7b2c\u4e09\u65b9\u8f6c\u552e key \u7684\u5408\u89c4\u72b6\u6001\u4e00\u76f4\u7070\u8272\u7684&#xff0c;\u8dd1\u8def\u3001\u9650\u901f\u3001\u6570\u636e\u7ecf\u624b\u7b2c\u4e09\u65b9&#xff0c;\u4e09\u4e2a\u98ce\u9669\u90fd\u662f\u5b9e\u6253\u5b9e\u7684\u3002\u4f01\u4e1a\u5c24\u5176\u522b\u78b0&#xff0c;\u6570\u636e\u51fa\u5883\u8fd9\u6761\u7ea2\u7ebf\u78b0\u4e86\u5c31\u662f\u5927\u4e8b\u3002<\/li>\n<li>Azure \u8def\u7ebf\u662f\u88ab\u4f4e\u4f30\u7684\u3002\u5f88\u591a\u516c\u53f8\u5176\u5b9e\u65e9\u6709\u4e16\u7eaa\u4e92\u8054\u7684 Azure \u8d26\u53f7&#xff0c;Astra \u4e0a\u7ebf Azure \u662f\u8fd9\u6b21\u53d1\u5e03\u7684\u5b98\u65b9\u4fe1\u606f&#xff0c;\u8d70\u5df2\u6709\u4e91\u5408\u540c\u6bd4\u53e6\u8d77\u7089\u7076\u7701\u4e8b\u5f97\u591a\u3002\u627e\u4f60\u4eec IT \u90e8\u95e8\u95ee\u95ee&#xff0c;\u53ef\u80fd\u6709\u60ca\u559c\u3002<\/li>\n<li>\u56fd\u4ea7\u5e73\u66ff\u6ca1\u6709\u4f60\u60f3\u7684\u90a3\u4e48\u5dee\u3002\u56de\u5230\u7b2c\u4e8c\u8282\u90a3\u5f20\u8868&#xff1a;Astra Intelligence Index 61.2&#xff0c;Gemini 3.8 Flash 58.7&#xff0c;\u800c DeepSeek\u3001GLM\u3001Kimi \u8fd9\u4e00\u6863\u5728\u4e2d\u6587\u4efb\u52a1\u4e0a\u7684\u8868\u73b0\u548c\u56fd\u5916\u65d7\u8230\u7684\u5dee\u8ddd&#xff0c;\u8fdc\u5c0f\u4e8e\u4ef7\u683c\u5dee\u8ddd\u3002\u82f1\u6587\u6280\u672f\u4efb\u52a1\u3001\u667a\u80fd\u4f53\u7f16\u6392&#xff0c;\u7528 Astra&#xff1b;\u4e2d\u6587\u6279\u91cf\u6d3b\u513f&#xff0c;\u56fd\u4ea7\u6a21\u578b\u8dd1\u91cf&#xff0c;\u8fd9\u4e2a\u6df7\u5408\u7b56\u7565\u662f\u5f53\u4e0b\u6027\u4ef7\u6bd4\u6700\u9ad8\u7684\u7b54\u6848\u3002<\/li>\n<li>\u5408\u89c4\u63d0\u9192\u53ea\u8bf4\u4e00\u53e5&#xff1a;\u4f01\u4e1a\u63a5\u5165\u751f\u6210\u5f0f AI&#xff0c;\u8bb0\u5f97\u8fc7\u4e00\u904d\u300a\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\u670d\u52a1\u7ba1\u7406\u6682\u884c\u529e\u6cd5\u300b\u548c\u81ea\u5bb6\u6cd5\u52a1\u3002\u4e2a\u4eba\u5b66\u4e60\u968f\u610f\u3002<\/li>\n<\/ul>\n<p>&#x1f4a1; \u601d\u8003&#xff1a;\u4e3a\u4ec0\u4e48 OpenAI \u8fd9\u6b21\u6562\u628a Plus \u548c Pro \u62c9\u5e73&#xff1f;<\/p>\n<p>&#x1f914; \u6211\u7684\u5224\u65ad&#xff1a;\u5b83\u8981\u7684\u662f\u94fa\u91cf\u3002AGI \u53d9\u4e8b\u9700\u8981\u6d77\u91cf\u7684\u771f\u5b9e\u4f7f\u7528\u6570\u636e\u6765\u9a8c\u8bc1&#xff0c;Plus \u7528\u6237\u57fa\u6570\u662f Pro \u7684\u4e00\u767e\u500d\u3002\u5bf9\u6d88\u8d39\u8005\u662f\u597d\u4e8b&#xff0c;\u5bf9\u7ade\u4e89\u5bf9\u624b\u662f\u538b\u529b\u2014\u2014Anthropic \u7684\u540c\u4ef7\u4f4d\u6a21\u578b\u7acb\u523b\u663e\u5f97&#034;\u4e0d\u4fc3\u9500&#034;\u3002\u4f46\u4e5f\u8981\u6e05\u9192&#xff1a;\u540c\u7b49\u5f85\u9047\u4e0d\u7b49\u4e8e\u540c\u7b49\u7528\u91cf&#xff0c;\u91cd\u5ea6\u7528\u6237\u5927\u6982\u7387\u4f1a\u649e\u989d\u5ea6\u5899&#xff0c;\u5230\u65f6\u5019 Pro \u7684\u4ef7\u503c\u5c31\u56de\u6765\u4e86\u3002<\/p>\n<h3>\u5341\u4e00. \u5185\u5bb9\u521b\u4f5c\u8005\u7684\u4e00\u7b14\u8d26 &#x1f5c2;\ufe0f<\/h3>\n<p>\u8fd9\u8282\u5199\u7ed9\u548c\u6211\u4e00\u6837\u505a\u5185\u5bb9\u7684\u4eba\u3002<\/p>\n<p>GPT-6 Astra \u5bf9\u521b\u4f5c\u8005\u610f\u5473\u7740\u4ec0\u4e48&#xff1f;\u6211\u7b97\u4e86\u4e00\u7b14\u8d26\u3002\u6279\u91cf\u751f\u6587&#xff1a;1M token \u7684\u4e0a\u4e0b\u6587&#xff0c;\u4e00\u6b21\u80fd\u5582\u8fdb\u4f60\u5168\u90e8\u7684\u5386\u53f2\u9009\u9898\u5e93\u548c\u98ce\u683c\u6837\u672c&#xff0c;\u4ea7\u80fd\u7ffb 5 \u500d\u4e0d\u5938\u5f20\u3002\u751f\u56fe\u3001\u914d\u97f3\u3001\u526a\u8f91\u8f85\u52a9&#xff0c;\u540c\u7406\u3002<\/p>\n<p>\u4f46\u6709\u4e2a\u4e1c\u897f\u6ca1\u8ddf\u7740\u7ffb\u500d&#xff1a;\u4f60\u80fd\u7528\u6389\u7684\u7d20\u6750\u91cf\u3002\u751f\u6210\u6210\u672c\u8d8b\u8fd1\u96f6\u4e4b\u540e&#xff0c;\u771f\u6b63\u5361\u8116\u5b50\u7684\u53d8\u6210\u4e86\u7d20\u6750\u7ba1\u7406\u3002\u6211\u81ea\u5df1\u7684\u6587\u4ef6\u5939\u534a\u5e74\u81a8\u80c0\u51fa\u4e86\u8fc7\u53bb\u4e94\u5e74\u7684\u91cf&#xff1a;AI \u751f\u6210\u7684\u5c01\u9762\u3001\u6279\u91cf\u4ea7\u7684\u811a\u672c\u3001\u6293\u4e0b\u6765\u7684\u53c2\u8003\u89c6\u9891\u3001\u622a\u5e27\u3001\u914d\u97f3\u3002\u4e0a\u4e2a\u6708\u6211\u627e\u4e2a&#034;\u4e4b\u524d\u751f\u6210\u8fc7\u5f88\u5408\u9002\u7684\u5c01\u9762&#034;&#xff0c;\u7ffb\u4e86 40 \u5206\u949f\u6ca1\u627e\u5230&#xff0c;\u6700\u540e\u91cd\u65b0\u751f\u6210\u4e86 8 \u5f20\u2014\u2014\u90fd\u4e0d\u5982\u539f\u6765\u90a3\u5f20\u3002<\/p>\n<p>\u6240\u4ee5 GPT-6 \u65f6\u4ee3\u521b\u4f5c\u8005\u7684\u4e09\u6761\u519b\u89c4&#xff0c;\u6211\u7684\u7248\u672c&#xff1a;<\/p>\n<li>AI \u4ea7\u7269\u548c\u91c7\u96c6\u4ea7\u7269\u8fdb\u540c\u4e00\u4e2a\u5e93\u3002\u547d\u540d\u5e26\u4e0a\u7248\u672c\u53f7&#xff08;dy_\u57ce\u5e02\u591c\u666f_20260904_v2 \u8fd9\u79cd&#xff09;&#xff0c;AI \u6279\u91cf\u751f\u6210\u7684\u4e1c\u897f&#xff0c;&#034;\u7b2c 7 \u7248\u6bd4\u7b2c 3 \u7248\u597d&#034;\u8fd9\u79cd\u4fe1\u606f\u53ea\u5b58\u5728\u4e8e\u547d\u540d\u91cc\u3002<\/li>\n<li>\u7528&#034;\u9879\u76ee&#034;\u7ec4\u7ec7&#xff0c;\u522b\u7528&#034;\u6587\u4ef6\u5939&#034;\u7ec4\u7ec7\u3002\u6587\u4ef6\u5939\u6309\u5b58\u50a8\u903b\u8f91\u8d70&#xff0c;\u9879\u76ee\u6309\u4f7f\u7528\u573a\u666f\u8d70\u3002\u4e00\u4e2a\u89c6\u9891\u8981\u80fd\u4e00\u952e\u5708\u51fa\u6240\u6709\u9700\u8981\u7684\u7d20\u6750&#xff0c;\u7528\u5b8c\u80fd\u6807&#034;\u7528\u5728\u54ea&#034;\u3002<\/li>\n<li>\u7d20\u6750\u4f7f\u7528\u72b6\u6001\u8981\u6d41\u8f6c&#xff08;\u5f85\u4f7f\u7528\u2192\u526a\u8f91\u4e2d\u2192\u5df2\u53d1\u5e03&#xff09;\u3002\u534a\u5e74\u540e\u56de\u770b&#xff0c;\u54ea\u4e9b\u7d20\u6750&#034;\u5b58\u4e86\u4ece\u6ca1\u7528\u8fc7&#034;\u4e00\u76ee\u4e86\u7136&#xff0c;\u8fd9\u4e2a\u6570\u636e\u53cd\u8fc7\u6765\u6307\u5bfc\u9009\u9898\u3002<\/li>\n<p>\u6211\u81ea\u5df1\u5728\u6253\u78e8\u4e00\u6b3e\u505a\u8fd9\u4ef6\u4e8b\u7684\u684c\u9762\u5de5\u5177&#xff0c;\u53eb\u300c\u5f71\u6808\u300d\u2014\u2014\u77ed\u89c6\u9891\u7d20\u6750\u5e93&#xff0c;\u7ba1\u7684\u5c31\u662f&#034;\u83b7\u53d6\u4e4b\u540e\u7684\u79e9\u5e8f&#034;&#xff1a;\u591a\u5e73\u53f0\u7d20\u6750\u7edf\u4e00\u5165\u5e93\u3001\u6279\u91cf\u4e0b\u8f7d\u81ea\u52a8\u5f52\u7c7b\u3001\u591a\u7ef4\u7b5b\u9009\u3001\u7d20\u6750\u5bf9\u6bd4\u3001\u884d\u751f\u7d20\u6750&#xff08;\u622a\u5e27\u3001\u63d0\u97f3\u9891&#xff09;\u80fd\u8ffd\u6eaf\u56de\u6bcd\u7d20\u6750\u3002\u8fd8\u5728\u516c\u6d4b\u671f\u3002\u505a\u8fd9\u4e2a\u5de5\u5177\u7684\u8d77\u56e0\u5c31\u662f\u4e0a\u9762\u90a3 40 \u5206\u949f\u3002<\/p>\n<p>GPT-6 \u7ba1\u65e0\u9650\u751f\u6210&#xff0c;\u4f60\u7684\u7d20\u6750\u5e93\u7ba1\u65e0\u9650\u590d\u7528\u3002\u751f\u6210\u662f\u6210\u672c&#xff0c;\u590d\u7528\u624d\u662f\u6536\u76ca\u3002<\/p>\n<p>\u2014\u2014\u8fd9\u6761\u751f\u610f\u7ecf\u5f80\u4e0b\u5ef6\u4f38&#xff0c;\u5c31\u662f\u4e0b\u4e00\u8282\u8981\u804a\u7684\u4e8b\u3002<\/p>\n<hr \/>\n<hr \/>\n<h3>\u5341\u4e8c. \u5b83\u4f1a\u52a8\u8c01\u7684\u5976\u916a&#xff0c;\u4ee5\u53ca\u666e\u901a\u4eba\u7684\u673a\u4f1a &#x1f4bc;<\/h3>\n<p>\u8fd9\u90e8\u5206\u662f\u5199\u7ed9\u665a\u4e0a\u7761\u4e0d\u7740\u89c9\u7684\u4eba\u7684\u3002<\/p>\n<p>\u5148\u8bf4\u5c97\u4f4d\u51b2\u51fb\u7684\u6392\u5e8f&#xff0c;\u6309\u8fd9\u6b21\u8dd1\u5206\u53d8\u5316\u7684\u5267\u70c8\u7a0b\u5ea6&#xff1a;<\/p>\n<li>\u8fd0\u7ef4 \/ DevOps&#xff0c;\u51b2\u51fb\u6700\u5927\u3002Terminal-Bench 4.0 \u4ece 37.3% \u5230 57.9%&#xff0c;\u7ffb\u4e86\u4e00\u534a\u8fd8\u591a\u2014\u2014\u914d\u73af\u5883\u3001\u6539\u914d\u7f6e\u3001\u6392\u67e5\u670d\u52a1&#xff0c;\u8fd9\u4e9b\u6070\u6070\u662f\u8fd0\u7ef4\u7684\u65e5\u5e38\u3002SRE-Bench 99.2% \u8bf4\u660e\u8fde\u4e8c\u8fdb\u5236\u9006\u5411\u5b83\u90fd\u62ff\u5f97\u4e0b\u3002\u6211\u7684\u5224\u65ad&#xff1a;\u4e09\u5e74\u5185&#xff0c;\u4e00\u540d\u8fd0\u7ef4 &#043; \u4e00\u4e2a Astra \u7684\u7ec4\u5408\u4f1a\u66ff\u6362\u6389\u539f\u672c\u4e09\u4eba\u7684\u56e2\u961f\u89c4\u6a21\u3002\u5e78\u5b58\u8005\u89d2\u8272&#xff1a;\u5199\u6545\u969c\u9884\u6848\u3001\u5b9a SLA \u7b56\u7565\u7684\u4eba\u3002<\/li>\n<li>\u521d\u7ea7\u5f00\u53d1 \/ CRUD \u5de5\u7a0b\u5e08\u3002DeepSWE 74.1% \u52a0&#034;\u8de8\u7a97\u53e3\u8bb0\u7b14\u8bb0&#034;\u610f\u5473\u7740&#xff1a;\u4ece\u9700\u6c42\u5230\u53ef\u5408\u5e76\u4ee3\u7801\u7684\u94fe\u8def&#xff0c;AI \u5df2\u7ecf\u80fd\u8d70\u5b8c\u5927\u90e8\u5206\u3002\u6ce8\u610f\u662f&#034;\u5927\u90e8\u5206&#034;\u2014\u2014\u9a8c\u6536\u548c\u8fb9\u754c\u5224\u65ad\u8fd8\u662f\u4eba\u7684\u3002\u8fd9\u610f\u5473\u7740\u5165\u884c\u95e8\u69db\u5728\u62ac\u9ad8&#xff1a;\u53ea\u4f1a\u7167\u7740\u6587\u6863\u5199\u4ee3\u7801\u7684\u5c97\u4f4d\u5728\u7f29\u7f16&#xff0c;\u80fd\u5b9a\u4e49\u95ee\u9898\u3001\u80fd\u9a8c\u6536\u7684\u5c97\u4f4d\u5728\u5347\u503c\u3002<\/li>\n<li>\u6d4b\u8bd5 \/ QA\u3002Computer Use 72.6% \u76f4\u63a5\u5bf9\u7740 UI \u56de\u5f52\u6d4b\u8bd5\u6765\u7684\u2014\u2014&#034;\u628a\u8fd9\u4e09\u4e2a CSV \u5408\u5e76\u6210\u6708\u62a5&#034;\u8fd9\u79cd\u4efb\u52a1\u5b83\u90fd\u80fd\u72ec\u7acb\u8dd1\u5b8c&#xff0c;\u8dd1\u6d4b\u8bd5\u811a\u672c\u66f4\u4e0d\u5728\u8bdd\u4e0b\u3002<\/li>\n<li>\u5b89\u5168\u7814\u7a76\u5458\u3002ExploitBench 100%\u3001\u81ea\u5df1\u6316\u51fa\u4e24\u4e2a\u96f6\u65e5\u2014\u2014\u653b\u9632\u4e24\u8fb9\u90fd\u5728\u88ab\u52a0\u901f\u3002\u4f46\u6ce8\u610f Daybreak \u8ba1\u5212\u7684\u5b58\u5728&#xff1a;\u6700\u5f3a\u7684\u7f51\u5b89\u80fd\u529b\u53ea\u5bf9\u7b5b\u9009\u8fc7\u7684\u7ec4\u7ec7\u5f00\u653e\u3002\u8fd9\u4e2a\u884c\u4e1a\u4e0d\u662f\u88ab\u66ff\u4ee3&#xff0c;\u662f\u88ab&#034;\u519b\u5907\u7ade\u8d5b\u5316&#034;&#xff0c;\u666e\u901a\u9632\u5b88\u8005\u7684\u76f8\u5bf9\u6c34\u4f4d\u5176\u5b9e\u5728\u4e0b\u964d\u3002<\/li>\n<li>\u7ffb\u8bd1 \/ \u57fa\u7840\u6587\u6848\u3002\u8fd9\u4e2a\u4e0d\u7528 GPT-6 \u8bf4\u4e86&#xff0c;GPT-4 \u65f6\u4ee3\u5c31\u8be5\u6709\u5371\u673a\u611f\u4e86\u3002<\/li>\n<p>\u518d\u8bf4\u666e\u901a\u4eba\u73b0\u5728\u80fd\u6293\u4f4f\u7684\u4e09\u4e2a\u673a\u4f1a&#xff08;\u90fd\u662f\u5f53\u4e0b\u5c31\u80fd\u52a8\u624b\u7684&#xff0c;\u4e0d\u662f\u753b\u997c&#xff09;&#xff1a;<\/p>\n<p>\u673a\u4f1a\u4e00&#xff1a;\u7ed9\u4e2d\u5c0f\u4f01\u4e1a\u505a&#034;AI \u5de5\u4f5c\u6d41\u88c5\u4fee&#034;\u3002 \u5927\u91cf\u4f20\u7edf\u516c\u53f8\u77e5\u9053\u8981\u7528 AI \u4f46\u4e0d\u77e5\u9053\u600e\u4e48\u7528\u3002\u4f1a\u5199\u4efb\u52a1\u8bf4\u660e\u4e66&#xff08;\u7b2c\u516b\u8282\u90a3\u56db\u8981\u7d20&#xff09;\u3001\u4f1a\u642d OpenAI \u517c\u5bb9\u63a5\u53e3\u3001\u4f1a\u505a\u7b80\u5355\u7684\u4eba\u5458\u57f9\u8bad&#xff0c;\u8fd9\u4e09\u4e2a\u6280\u80fd\u6253\u5305&#xff0c;\u5728\u4e09\u56db\u7ebf\u57ce\u5e02\u5c31\u662f\u4e00\u95e8\u751f\u610f\u3002Computer Use \u7684\u6210\u719f\u8ba9&#034;\u628a\u4eba\u5de5\u6d41\u7a0b\u6539\u6210\u4eba\u673a\u6d41\u7a0b&#034;\u7684\u54a8\u8be2\u9700\u6c42\u4f1a\u8089\u773c\u53ef\u89c1\u5730\u6da8\u3002<\/p>\n<p>\u673a\u4f1a\u4e8c&#xff1a;\u505a\u5782\u76f4\u9886\u57df\u7684\u9ad8\u8d28\u91cf\u6570\u636e\u96c6\u3002 \u6a21\u578b\u8d8a\u901a\u7528&#xff0c;\u5782\u76f4\u6570\u636e\u8d8a\u503c\u94b1\u3002\u533b\u7597\u3001\u6cd5\u5f8b\u3001\u5de5\u4e1a\u9886\u57df\u7684\u4e13\u4e1a\u6807\u6ce8\u6570\u636e&#xff0c;\u662f\u4e0b\u4e00\u8f6e\u6a21\u578b\u5fae\u8c03\u7684\u786c\u901a\u8d27\u3002\u4f60\u5728\u67d0\u4e2a\u884c\u4e1a\u6ce1\u4e86\u5341\u5e74&#xff0c;\u4f60\u8111\u5b50\u91cc\u7684&#034;\u4ec0\u4e48\u662f\u5bf9\u7684&#034;\u672c\u8eab\u5c31\u662f\u8d44\u4ea7\u3002<\/p>\n<p>\u673a\u4f1a\u4e09&#xff1a;\u5185\u5bb9\u4ea7\u80fd\u5957\u5229\u3002 \u8fd9\u6761\u63a5\u4e0a\u4e00\u8282\u2014\u20141M \u4e0a\u4e0b\u6587 &#043; \u6279\u91cf\u751f\u6587&#xff0c;\u610f\u5473\u7740\u4e00\u4e2a\u4eba\u80fd\u8fd0\u8425\u8fc7\u53bb\u4e00\u4e2a\u56e2\u961f\u7684\u5185\u5bb9\u91cf\u3002\u7a97\u53e3\u671f\u5927\u6982\u4e00\u5230\u4e24\u5e74&#xff08;\u7b49\u6240\u6709\u4eba\u90fd\u4f1a\u7528\u5c31\u6ca1\u4e86&#xff09;&#xff0c;\u73b0\u5728\u5165\u573a\u7684\u6700\u5c0f\u9a8c\u8bc1\u6210\u672c\u51e0\u4e4e\u4e3a\u96f6\u3002<\/p>\n<p>&#x1f4a1; \u601d\u8003&#xff1a;\u90a3\u5b66\u751f\u8be5\u5b66\u4ec0\u4e48&#xff1f;<\/p>\n<p>&#x1f914; \u522b\u5b66&#034;prompt \u5de5\u7a0b&#034;\u8fd9\u79cd\u4e09\u4e2a\u6708\u5c31\u8fc7\u65f6\u7684\u4e1c\u897f&#xff0c;\u5b66\u4e09\u6837\u6162\u53d8\u91cf&#xff1a;\u628a\u6a21\u7cca\u9700\u6c42\u53d8\u6210\u6e05\u6670\u89c4\u683c\u7684\u80fd\u529b&#xff08;\u9700\u6c42\u5b9a\u4e49&#xff09;\u3001\u5224\u65ad\u8f93\u51fa\u8d28\u91cf\u7684\u80fd\u529b&#xff08;\u9a8c\u6536&#xff0c;\u9700\u8981\u771f\u529f\u5e95&#xff09;\u3001\u548c\u4e00\u4e2a AI \u66ff\u4ee3\u4e0d\u4e86\u7684\u4e13\u4e1a\u9886\u57df\u7eb5\u6df1\u3002\u5de5\u5177\u6bcf\u534a\u5e74\u6362\u4e00\u832c&#xff0c;\u8fd9\u4e09\u6837\u5341\u5e74\u4e0d\u8fc7\u65f6\u3002\u987a\u4fbf\u8bf4&#xff0c;Astra \u8fd9\u7c7b\u6a21\u578b\u4e5f\u662f\u6700\u597d\u7684\u5b66\u4e60\u5de5\u5177\u2014\u2014\u5b83\u6bd4\u5927\u591a\u6570\u7f51\u8bfe\u8001\u5e08\u6709\u8010\u5fc3&#xff0c;\u4e14\u968f\u53eb\u968f\u5230\u3002\u4f1a\u7528 AI \u5b66\u4e60\u7684\u4eba&#xff0c;\u548c\u4e0d\u4f1a\u7684\u4eba&#xff0c;\u5b66\u4e60\u6548\u7387\u6b63\u5728\u62c9\u5f00\u6570\u91cf\u7ea7\u7684\u5dee\u8ddd\u3002<\/p>\n<h3>\u5341\u4e09. \u51e0\u4e2a\u8bf4\u4e0d\u6e05\u7684\u95ee\u9898 \u26a0\ufe0f<\/h3>\n<p>\u6700\u540e\u7559\u51e0\u4e2a\u6211\u81ea\u5df1\u4e5f\u6ca1\u7b54\u6848\u7684\u95ee\u9898&#xff0c;\u6bd4\u7ed3\u8bba\u66f4\u6709\u4ef7\u503c\u3002<\/p>\n<p>\u76d1\u63a7\u6096\u8bba\u3002 \u66f4\u542c\u8bdd&#xff08;\u8d8a\u754c\u7387 0%&#xff09;&#xff0c;\u4f46\u66f4\u96be\u76ef&#xff08;\u53ef\u76d1\u63a7\u6027\u4e0b\u964d&#xff09;\u3002\u5f53\u6a21\u578b\u7684\u4e66\u9762\u63a8\u7406\u8d8a\u6765\u8d8a\u7cbe\u7b80\u3001\u8d8a\u6765\u8d8a&#034;\u79c1\u4eba\u5316&#034;&#xff0c;\u5916\u90e8\u76d1\u7763\u7684\u6293\u624b\u662f\u4ec0\u4e48&#xff1f;OpenAI \u8bf4\u5728\u6539\u8fdb&#xff0c;\u4f46\u8fd9\u4e00\u680f\u76ee\u524d\u662f\u7a7a\u7684\u3002<\/p>\n<p>\u57fa\u51c6\u6d4b\u8bd5\u7684\u4fe1\u4efb\u5371\u673a\u3002 ARC-AGI-3 \u7684\u53cc\u53e3\u5f84\u4e8b\u4ef6\u4e4b\u540e&#xff0c;\u6211\u4eec\u8be5\u4fe1\u8c01&#xff1f;\u51fa\u9898\u65b9\u8bf4\u4e0d\u662f AGI&#xff0c;\u505a\u9898\u65b9\u8bf4\u662f&#xff0c;\u7b2c\u4e09\u65b9\u6d4b\u51fa 62.7%\u3002\u53ef\u80fd\u9700\u8981\u4e00\u4e2a\u65b0\u7684\u884c\u5f53&#xff1a;\u6a21\u578b\u8bc4\u6d4b\u7684\u72ec\u7acb\u5ba1\u8ba1\u3002<\/p>\n<p>\u53d1\u5e03\u75b2\u52b3\u3002 Hacker News \u5b98\u65b9\u5e16\u4e00\u5929 1279 \u5206\u3001\u8fd1\u5343\u6761\u8bc4\u8bba&#xff0c;\u70ed\u8bc4\u7b2c\u4e00\u662f\u53e5\u82e6\u7b11&#xff1a;\u201cPLEASE DONT GIVE ME ACCESS\u201d\u3002\u65d7\u8230\u53d1\u5e03\u4ece\u5e74\u66f4\u53d8\u6210\u5468\u66f4&#xff0c;\u9009\u578b\u6587\u6863\u5199\u5b8c\u5c31\u8fc7\u671f\u3002\u5f53\u884c\u4e1a\u7528\u53d1\u5e03\u8282\u594f\u5236\u9020 FOMO \u65f6&#xff0c;&#034;\u4e0d\u8ffd\u65b0&#034;\u672c\u8eab\u6210\u4e86\u4e00\u79cd\u80fd\u529b\u3002<\/p>\n<p>Anthropic \u7684\u6c89\u9ed8\u3002 \u8fd9\u8f6e\u53d1\u5e03\u91cc Anthropic \u4e00\u53e5\u516c\u5f00\u56de\u5e94\u90fd\u6ca1\u6709&#xff0c;\u4f46 Fable 5.1 \u7684 Intelligence Index \u8fd8\u9886\u5148\u7740\u3002\u5b89\u9759\u7684\u9886\u5148\u8005\u6bd4\u9ad8\u8c03\u7684\u8ffd\u8d76\u8005\u66f4\u503c\u5f97\u7422\u78e8\u3002<\/p>\n<p>\u5199\u5230\u8fd9\u91cc\u5929\u5feb\u4eae\u4e86\u3002\u6700\u540e\u8bf4\u53e5\u5b9e\u5728\u7684&#xff1a;GPT-6 Astra \u4ea4\u51fa\u4e86\u4e00\u4efd&#034;\u7279\u5b9a\u8d5b\u9053\u65ad\u5c42\u9886\u5148\u3001\u901a\u7528\u667a\u80fd\u6301\u5e73\u3001\u5b89\u5168\u6027\u5927\u5e45\u8fdb\u6b65&#034;\u7684\u6210\u7ee9\u5355\u2014\u2014\u8fd9\u4e0d\u50cf AGI \u7684\u9ece\u660e&#xff0c;\u66f4\u50cf\u4e00\u573a\u4ea7\u4e1a\u5206\u5de5\u7684\u5f00\u59cb&#xff1a;\u4ee5\u540e\u6311\u6a21\u578b&#xff0c;\u5148\u770b\u4f60\u7684\u6d3b\u513f\u5728\u54ea\u6761\u8d5b\u9053\u3002<\/p>\n<p>\u8bc4\u8bba\u533a\u804a\u804a&#xff1a;\u4f60\u6253\u7b97\u7b2c\u4e00\u4e2a\u4ea4\u7ed9 Astra \u7684\u4efb\u52a1\u662f\u4ec0\u4e48&#xff1f;\u6211\u5148\u6765\u2014\u2014\u6211\u60f3\u8ba9\u5b83\u628a\u6211 40 \u4e07\u5b57\u7684\u7d20\u6750\u5e93\u6587\u6863\u91cd\u5199\u6210\u4e00\u4efd\u68c0\u7d22\u624b\u518c\u3002<\/p>\n<hr \/>\n<h3>\u5e38\u89c1\u95ee\u9898 FAQ<\/h3>\n<p>Q1&#xff1a;\u73b0\u5728\u80fd\u7528\u4e0a\u5417&#xff1f; \u5206\u6279\u63a8\u9001\u4e2d\u3002\u4eca\u5929\u5148\u5f00\u653e\u7ed9\u90e8\u5206\u7ec4\u7ec7&#xff0c;\u51e0\u5929\u5185\u63a8\u7ed9\u5168\u90e8 ChatGPT Plus \/ Pro \/ Business \/ Enterprise \u7528\u6237&#xff0c;API\u3001Microsoft Azure\u3001AWS Bedrock \u540c\u6b65\u3002Astra \u7528\u91cf\u7b97\u5728\u73b0\u6709\u8ba2\u9605\u989d\u5ea6\u5185&#xff0c;Pro \/ Business \/ Enterprise \u7528\u6237\u8fd8\u6709 Astra Pro \u7248\u3002\u4f01\u4e1a\u7ba1\u7406\u5458\u9700\u624b\u52a8\u5f00\u542f&#xff0c;\u9ed8\u8ba4\u5173\u95ed\u3002<\/p>\n<p>Q2&#xff1a;99.9% \u7684 ARC-AGI-3 \u662f\u771f\u7684\u5417&#xff1f; \u6570\u5b57\u662f\u771f\u7684&#xff0c;\u4f46\u53e3\u5f84\u8981\u6ce8\u610f&#xff1a;OpenAI \u81ea\u5bb6 harness \u8dd1\u51fa 99.9%&#xff08;\u4fdd\u7559\u6a21\u578b\u79c1\u6709\u63a8\u7406\u72b6\u6001&#xff09;&#xff0c;\u6807\u51c6 harness \u662f 62.7%\u3002ARC Prize \u5b98\u65b9\u4e0d\u8ba4\u4e3a\u8fd9\u662f AGI\u3002<\/p>\n<p>Q3&#xff1a;\u6bd4\u4e0a\u4e00\u4ee3\u8d35\u591a\u5c11&#xff1f;\u4f1a\u4e0d\u4f1a\u7528\u4e0d\u8d77&#xff1f; \u6807\u4ef7\u662f Sol \u7684 2.5 \u500d&#xff08;$10 \u8f93\u5165 \/ $50 \u8f93\u51fa&#xff0c;\u6bcf\u767e\u4e07 token&#xff09;\u3002\u4f46\u667a\u80fd\u4f53\u4efb\u52a1 token \u6d88\u8017\u7ea6\u4e3a Sol \u4e09\u5206\u4e4b\u4e00&#xff0c;\u591a\u6570\u591a\u6b65\u4efb\u52a1\u603b\u6210\u672c\u6301\u5e73\u6216\u4e0b\u964d\u3002\u77ed\u95ee\u7b54\u573a\u666f\u7ee7\u7eed\u7528 Sol \u66f4\u5212\u7b97\u3002<\/p>\n<p>Q4&#xff1a;\u6211\u7684 RAG \u7cfb\u7edf\u8981\u91cd\u6784\u5417&#xff1f; \u77e5\u8bc6\u5e93\u5168\u91cf 900K token \u4ee5\u5185\u7684&#xff0c;\u5148\u8bd5&#034;\u5168\u6587\u76f4\u585e &#043; \u7f13\u5b58&#034;&#xff08;\u7f13\u5b58\u8bfb\u53d6 $1&#xff09;\u3002\u8d85\u4e86\u518d\u8c08\u68c0\u7d22\u3002\u6df7\u5408\u65b9\u6848&#xff08;\u5173\u952e\u6587\u6863\u76f4\u585e &#043; \u957f\u5c3e\u68c0\u7d22&#xff09;\u662f\u5f53\u524d\u7a33\u59a5\u89e3\u3002<\/p>\n<p>Q5&#xff1a;\u5b83\u4f1a\u53d6\u4ee3\u7a0b\u5e8f\u5458\u5417&#xff1f; \u53d6\u4ee3\u7684\u662f\u91cd\u590d\u52b3\u52a8&#xff0c;\u4e0d\u662f\u5224\u65ad\u529b\u3002Jane Street \u7684\u8bc4\u4ef7\u4fa7\u9762\u8bf4\u660e\u95ee\u9898&#xff1a;Astra \u7684\u4ef7\u503c\u5728\u4e8e&#034;\u4ee3\u7801\u5230\u751f\u4ea7\u8d28\u91cf\u7684\u8fed\u4ee3\u6b21\u6570\u66f4\u5c11&#034;\u2014\u2014\u5199\u4ee3\u7801\u7684\u4eba\u4ece\u6253\u5b57\u5458\u53d8\u6210\u9a8c\u6536\u5458&#xff0c;\u8fd9\u4e2a\u8f6c\u53d8\u5df2\u7ecf\u5f00\u59cb\u3002<\/p>\n<p>Q6&#xff1a;\u6211\u662f\u5b66\u751f \/ \u9884\u7b97\u6709\u9650&#xff0c;\u600e\u4e48\u53c2\u4e0e\u8fd9\u6ce2&#xff1f; \u56fd\u4ea7\u6a21\u578b&#xff08;DeepSeek \/ GLM \/ Kimi&#xff09;\u514d\u8d39\u989d\u5ea6\u8db3\u591f\u5b66\u4e60\u5168\u90e8\u6982\u5ff5&#xff1b;\u771f\u9700\u8981 Astra \u7ea7\u80fd\u529b\u65f6&#xff0c;$20 \u7684 Plus 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\u7684\u57fa\u7840\u80fd\u529b&#xff0c;\u5b83\u7684\u62a4\u57ce\u6cb3\u5c31\u53ea\u5269\u4e0b\u6e20\u9053\u548c\u60ef\u6027\u4e86\u3002<\/p>\n<p>Q10&#xff1a;\u548c Claude Fable 5.1 \u600e\u4e48\u9009&#xff1f; \u540c\u4ef7\u3002\u667a\u80fd\u4f53 \/ \u7ec8\u7aef \/ \u7f51\u5b89\u4efb\u52a1\u9009 Astra&#xff1b;\u901a\u7528\u63a8\u7406\u548c\u957f\u94fe\u5206\u6790 Fable 5.1 \u7684 Intelligence Index \u8fd8\u9886\u5148 4.5 \u5206\u3002\u4e24\u8fb9\u90fd\u8bd5 20 \u6b21\u81ea\u5df1\u7684\u9ad8\u9891\u4efb\u52a1&#xff0c;\u7528\u6570\u636e\u8bf4\u8bdd\u3002<\/p>\n<hr \/>\n<h3>\u53c2\u8003\u6587\u732e<\/h3>\n<p>[1] OpenAI. \u201cGPT-6 Astra: A new generation of intelligence.\u201d 2026-09-03. https:\/\/openai.com\/index\/gpt-6-astra\/<\/p>\n<p>[2] ARC Prize Foundation. Evaluation notes on GPT-6 Astra. 2026-09. https:\/\/arcprize.org\/<\/p>\n<p>[3] OpenAI. \u201cAligning and deploying GPT-6 Astra responsibly.\u201d 2026-09. https:\/\/openai.com\/index\/<\/p>\n<p>[4] Thakker, Yash. \u201cGPT-6 Astra Launch: Benchmarks, Pricing, Rollout.\u201d explainx.ai, 2026-09-04. https:\/\/explainx.ai\/blog\/gpt-6-astra-launch-benchmarks-pricing-2026<\/p>\n<p>[5] \u201cGPT-6 Astra \u6b63\u5f0f\u53d1\u5e03&#xff1a;OpenAI \u5ba3\u544a\u2019\u6b22\u8fce\u6765\u5230 AGI \u65f6\u4ee3\u2019.\u201d \u817e\u8baf\u65b0\u95fb, 2026-09-04. https:\/\/news.qq.com\/rain\/a\/20260904A03YU400<\/p>\n<p>[6] \u201cGPT-6 Astra \u53d1\u5e03&#xff1a;OpenAI \u8bf4\u2019\u6b22\u8fce\u8fdb\u5165 AGI \u65f6\u4ee3\u2019&#xff0c;\u5f00\u53d1\u8005\u5148\u770b\u6e05\u8fd9\u4e94\u4ef6\u4e8b.\u201d \u6398\u91d1, 2026-09-04. https:\/\/juejin.cn\/post\/7681286465151320107<\/p>\n","protected":false},"excerpt":{"rendered":"<p>GPT-6 Astra \u5168\u89e3\u6790&#xff1a;\u6211\u8bfb\u5b8c\u4e86 OpenAI \u539f\u6587\u548c\u5168\u90e8\u8dd1\u5206&#xff0c;\u8bf4\u8bf4\u90a3\u4e9b\u6ca1\u88ab\u8bb2\u900f\u7684\u4e8b<br \/>\n9 \u6708 3 \u65e5\u665a\u4e0a\u5341\u4e00\u70b9\u591a&#xff0c;\u6211\u5237\u5230 GPT-6 \u53d1\u5e03\u7684\u6d88\u606f&#xff0c;\u53bb OpenAI \u5b98\u7f51\u770b\u539f\u6587\u2014\u2014\u6253\u4e0d\u5f00\u3002\u5237\u65b0&#xff0c;\u8fd8\u662f\u6253\u4e0d\u5f00\u3002\u5dee\u4e0d\u591a\u4e00\u4e2a\u5c0f\u65f6\u91cc&#xff0c;\u5168\u4e16\u754c\u60f3\u770b\u539f\u6587\u7684\u4eba\u90fd\u5835\u5728\u95e8\u53e3&#xff0c;\u53ea\u6709 archive.ph \u7684\u955c\u50cf\u80fd\u6324\u8fdb\u53bb\u3002<br \/>\n\u7b2c\u4e8c\u5929\u65e9\u4e0a\u6211\u62ff\u5230\u4e86\u9875\u9762\u7684\u5b8c\u6574\u5b58\u6863&#xff0c;\u628a\u5b98\u65b9\u516c\u544a\u3001\u7cfb\u7edf\u5361\u6570\u636e\u3001<\/p>\n","protected":false},"author":2,"featured_media":100604,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[6546,52,175,50,132],"topic":[],"class_list":["post-100612","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-gpt-3","tag-aigc","tag-chatgpt","tag-50","tag-132"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.3 - 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