{"id":1281,"date":"2025-07-04T20:18:00","date_gmt":"2025-07-04T12:18:00","guid":{"rendered":"http:\/\/www.applicationsofllm.com\/?p=1281"},"modified":"2025-09-17T20:19:54","modified_gmt":"2025-09-17T12:19:54","slug":"%e3%80%8c%e5%bc%80%e5%8f%91%e8%80%85%e7%a7%81%e4%b8%8b%e6%9b%b4%e5%96%9c%e6%ac%a2%e7%94%a8gpt-5%e5%86%99%e4%bb%a3%e7%a0%81%e3%80%8d%ef%bc%8cclaude%e8%bf%98%e5%9d%90%e5%be%97%e7%a8%b3%e7%bc%96%e7%a8%8b","status":"publish","type":"post","link":"http:\/\/www.applicationsofllm.com\/index.php\/2025\/07\/04\/%e3%80%8c%e5%bc%80%e5%8f%91%e8%80%85%e7%a7%81%e4%b8%8b%e6%9b%b4%e5%96%9c%e6%ac%a2%e7%94%a8gpt-5%e5%86%99%e4%bb%a3%e7%a0%81%e3%80%8d%ef%bc%8cclaude%e8%bf%98%e5%9d%90%e5%be%97%e7%a8%b3%e7%bc%96%e7%a8%8b\/","title":{"rendered":"\u300c\u5f00\u53d1\u8005\u79c1\u4e0b\u66f4\u559c\u6b22\u7528GPT-5\u5199\u4ee3\u7801\u300d\uff0cClaude\u8fd8\u5750\u5f97\u7a33\u7f16\u7a0b\u738b\u5ea7\u5417\uff1f"},"content":{"rendered":"\n

\u4e00\u76f4\u4ee5\u6765\uff0cAnthropic \u7684 Claude \u88ab\u8ba4\u4e3a\u662f\u5904\u7406\u7f16\u7a0b\u4efb\u52a1\u7684\u6700\u4f73\u6a21\u578b\uff0c\u5c24\u5176\u662f\u672c\u6708\u521d\u53d1\u5e03\u7684 Claude Opus 4.1\uff0c\u5728\u771f\u5b9e\u4e16\u754c\u7f16\u7a0b\u3001\u667a\u80fd\u4f53\u4ee5\u53ca\u63a8\u7406\u4efb\u52a1\u4e0a\u8868\u73b0\u51fa\u8272\u3002\u5176\u4e2d\u5728\u8f6f\u4ef6\u7f16\u7a0b\u6743\u5a01\u57fa\u51c6 SWE-bench Verified \u6d4b\u8bd5\u4e2d\uff0cClaude Opus 4.1 \u76f8\u8f83\u4e8e\u524d\u4ee3 Opus 4 \u53c8\u6709\u63d0\u5347\uff0c\u5c24\u5176\u5728\u591a\u6587\u4ef6\u4ee3\u7801\u91cd\u6784\u65b9\u9762\u8868\u73b0\u51fa\u663e\u8457\u8fdb\u6b65\u3002<\/p>\n\n\n\n

\u4e0d\u8fc7\uff0c\u5728\u521a\u521a\u8fc7\u53bb\u7684\u8fd9\u4e2a\u5468\u672b\uff0cClaude \u6700\u5f3a\u7f16\u7a0b\u6a21\u578b\u7684\u5730\u4f4d\u4f3c\u4e4e\u5f00\u59cb\u52a8\u6447\u4e86\u3002OpenAI \u540c\u6837\u672c\u6708\u53d1\u5e03\u7684  \u5728\u7f16\u7a0b\u8d5b\u9053\u83b7\u5f97\u4e86\u8d8a\u6765\u8d8a\u591a\u4eba\u7684\u9752\u7750\u4e0e\u4f7f\u7528\u3002<\/p>\n\n\n\n

\u6709\u4eba\u53d1\u5e16\u79f0\uff0c\u4ed6\u57fa\u672c\u5df2\u7ecf\u5b8c\u5168\u4e0d\u7528 Claude Opus \u4e86\u3002\u73b0\u5728\u540c\u65f6\u5f00\u7740\u51e0\u4e2a Codex \u6807\u7b7e\u9875\uff0c\u8ba9 GPT-5-high \u5206\u522b\u5728\u4e09\u4e2a\u4ee3\u7801\u5e93\uff08HVM\u3001Bend\u3001Kolmo\uff09\u4e0a\u5904\u7406\u4e0d\u540c\u7684\u4efb\u52a1\u3002AI \u7f16\u7a0b\u8fdb\u5c55\u4ece\u672a\u5982\u6b64\u8fc5\u901f\u3002\u4ed6\u7684\u5de5\u4f5c\u57fa\u672c\u4e0a\u5c31\u662f\u5c06\u5b9a\u4e49\u6e05\u6670\u7684\u4efb\u52a1\u4ea4\u7ed9 Codex\uff0c\u7136\u540e\u5ba1\u67e5\u4ee3\u7801\u8f93\u51fa\u3002<\/p>\n\n\n\n

\u4ed6\u8fd8\u7279\u610f\u5f3a\u8c03\uff0c\u8fd9\u4e0d\u662f OpenAI \u6253\u7684\u5e7f\u544a\u3002\u4ed6\u53ea\u662f\u89c9\u5f97\u8fd9\u4e2a\u6a21\u578b\u771f\u7684\u975e\u5e38\u5f3a\u5927\uff0c\u800c\u4eba\u4eec\u6ca1\u6709\u770b\u5230\u8fd9\u4e00\u70b9\u3002\u5927\u591a\u6570\u4eba\u8fd8\u53ea\u662f\u5c06\u804a\u5929\u673a\u5668\u4eba\u5f53\u4f5c\u300c\u5973\u53cb\u300d\u6216\u5176\u4ed6\u7528\u9014\uff0c\u800c\u4e0d\u662f\u7528\u6765\u534f\u52a9\u5b8c\u6210\u590d\u6742\u7684\u7f16\u7a0b\u4efb\u52a1\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u4e0d\u8fc7\uff0c\u4ed6\u4e5f\u8868\u793a\u81ea\u5df1\u4f9d\u7136\u70ed\u7231 Anthropic\uff0c\u5e76\u5728 VIM \u7f16\u8f91\u5668\u4e2d\u4f7f\u7528 Opus \u8fdb\u884c\u4ee3\u7801\u8865\u5168\uff0c\u901f\u5ea6\u8981\u6bd4 GPT-5-high \u5feb\u5f97\u591a\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u53e6\u4e00\u4f4d\u63a8\u7279\u535a\u4e3b\u3001CoreView \u8054\u5408\u521b\u59cb\u4eba\u517c CTO Ivan Fioravanti \u4e5f\u8868\u793a\uff0c\u4ed6\u73b0\u5728\u4e3b\u8981\u7528 Claude Code\uff0c\u4f46 Codex-CLI \u642d\u914d GPT-5 reasoning high \u9010\u6e10\u83b7\u5f97\u4e86\u4ed6\u7684\u66f4\u591a\u4fe1\u4efb\u3002\u81f3\u4e8e\u8c37\u6b4c\u7684 Gemini CLI\uff0c\u4ed6\u90fd\u6ca1\u5f00\u59cb\u6df1\u5165\u7814\u7a76\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u4e0d\u4ec5\u5982\u6b64\uff0c\u4ed6\u5728\u9700\u8981\u76f4\u63a5\u6267\u884c\u7684\u4efb\u52a1\u4e2d\u540c\u6837\u5728\u7528 GPT-5 reasoning\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u4e00\u4f4d\u5168\u6808\u4ea7\u54c1\u5f00\u53d1\u8005\u8868\u793a\uff0c\u300cGPT-5-high \u662f\u76ee\u524d\u4e3a\u6b62\u4ed6\u7528\u8fc7\u7684\u6700\u597d\u7684\u7f16\u7a0b\u6a21\u578b\u3002\u300d<\/p>\n\n\n\n

\u8be5\u6a21\u578b\u5728\u6307\u4ee4\u9075\u5faa\u65b9\u9762\u8868\u73b0\u51fa\u8272\uff0c\u53ef\u4ee5\u653e\u624b\u8ba9\u5b83\u5904\u7406\u66f4\u590d\u6742\u7684\u4efb\u52a1\u3002\u6b64\u5916\uff0c\u5b83\u5728\u5927\u89c4\u6a21\u91cd\u6784\u4efb\u52a1\u4e2d\u5c24\u5176\u7ed9\u529b\uff0c\u53ea\u8981\u4e0b\u6307\u4ee4\u300c\u628a\u8fd9\u4e2a\u6539\u5f97\u66f4\u50cf\u90a3\u4e2a\u300d\uff0c\u5b83\u5c31\u80fd\u5904\u7406\u5f97\u5f88\u597d\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u7c89\u4e1d\u8fd1 20 \u4e07\u7684\u63a8\u7279\u5927 V\u3001e\/acc \u601d\u6f6e\u521b\u59cb\u4eba\u8868\u793a\uff0c\u6839\u636e\u4ed6\u5728\u65e7\u91d1\u5c71\u542c\u5230\u7684\u4e00\u4e9b\u300c\u5c0f\u9053\u6d88\u606f\u300d\uff0c\u73b0\u5728\u5f88\u591a\u4eba\u79c1\u4e0b\u91cc\u5176\u5b9e\u66f4\u559c\u6b22\u7528 GPT-5 \u6765\u5199\u4ee3\u7801\uff0c\u8fd9\u548c\u6d41\u884c\u7684\u300cClaude \u66f4\u64c5\u957f\u7f16\u7a0b\u300d\u7684\u53d9\u4e8b\u6070\u6070\u76f8\u53cd\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u770b\u5230\u81ea\u5bb6\u6a21\u578b\u53d7\u5230\u4e86\u8d8a\u6765\u8d8a\u591a\u4eba\u7684\u559c\u7231\uff0cOpenAI \u8054\u5408\u521b\u59cb\u4eba\u517c\u603b\u88c1 Greg Brockman\u300c\u5750\u4e0d\u4f4f\u300d\u4e86\uff0c\u53d1\u63a8\u81ea\u5938\u9053\u300c\u7528 GPT-5 \u5199\u4ee3\u7801\u611f\u89c9\u592a\u68d2\u4e86\u300d\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u66f4\u591a\u7684\u4eba\u5e76\u8ba4\u53ef\u4e86 GPT-5 \u7684\u5f3a\u5927\u7f16\u7a0b\u80fd\u529b\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u4ece\u8fd9\u4e9b\u4eba\u7684\u53cd\u9988\u6765\u770b\uff0cGPT-5 \u7f16\u7a0b\u80fd\u529b\u66f4\u5f3a\u4f3c\u4e4e\u5df2\u7ecf\u6210\u4e3a\u4e86\u4e00\u4e2a\u4e0d\u4e89\u7684\u4e8b\u5b9e\u3002\u4e0e\u6b64\u540c\u65f6\uff0creddit \u793e\u533a\u4eca\u5929\u6709\u4e00\u4e2a\u5e16\u5b50\u63d0\u5230\uff0c\u300cGPT-5 \u7684\u5e7b\u89c9\u7387\u548c\u901a\u7528\u5b9e\u7528\u6027\u663e\u8457\u4f18\u4e8e Claude\u3002\u300d<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u5e16\u5b50\u7684\u4e3b\u89d2\u662f\u4e00\u4f4d\u8f6f\u4ef6\u5de5\u7a0b\u5e08\uff0c\u4e3b\u8981\u4f7f\u7528\u5927\u8bed\u8a00\u6a21\u578b\u6765\u505a\u7f16\u7a0b\u3001\u67b6\u6784\u7b49\u5de5\u4f5c\u3002\u4ed6\u5f00\u59cb\u6ce8\u610f\u5230\uff0cClaude \u5728\u5f88\u5927\u7a0b\u5ea6\u4e0a\u5176\u5b9e\u662f\u4e2a\u300c\u504f\u79d1\u578b\u9009\u624b\u300d\uff08one-trick pony\uff09\u3002\u8be5\u7cfb\u5217\u6a21\u578b\u53ea\u5728\u5199\u4ee3\u7801\u65f6\u8868\u73b0\u51fa\u8272\uff0c\u4f46\u4e00\u65e6\u8d85\u51fa\u8fd9\u4e2a\u9886\u57df\uff0c\u5e7b\u89c9\u7387\u5c31\u9ad8\u5f97\u79bb\u8c31\uff0c\u7ed3\u679c\u4e5f\u5f88\u5dee\u3002<\/p>\n\n\n\n

\u4e0d\u8fc7\uff0c\u4ed6\u8fd8\u662f\u8981\u7ed9 Claude \u52a0\u4e00\u5206\uff0c\u5b83\u5728\u5199\u4f5c\u4e0a\u7684\u300c\u6e29\u5ea6\u611f\u300d\u66f4\u5f3a\u4e00\u4e9b\uff0c\u5c24\u5176\u628a\u5b83\u5f53\u6210\u5b66\u4e60\u4f19\u4f34\u65f6\u3002\u800c GPT-5 \u4f5c\u4e3a\u5b66\u4e60\u4f19\u4f34\u65f6\uff0c\u7ecf\u5e38\u4f1a\u628a\u7b54\u6848\u4f2a\u88c5\u6210\u4e00\u4e2a\u8ffd\u95ee\u3002\u76f8\u6bd4\u4e4b\u4e0b\uff0cClaude \u5219\u4fdd\u6301\u4e86\u4e00\u79cd\u66f4\u4e25\u683c\u7684\u5b66\u4e60\u4f19\u4f34\u98ce\u683c\uff0c\u5b83\u4f1a\u5f15\u5bfc\u4f60\u9010\u6b65\u63a5\u8fd1\u7b54\u6848\uff0c\u800c\u4e0d\u662f\u76f4\u63a5\u628a\u7b54\u6848\u7ed9\u4f60\u3002<\/p>\n\n\n\n

\u7136\u800c\uff0cGPT-5 \u7684\u5e7b\u89c9\u73b0\u8c61\u8f83\u5c11\uff0c\u641c\u7d22\u529f\u80fd\u4e5f\u76f8\u5f53\u4e0d\u9519\u3002\u4ed6\u4e3e\u4f8b\u79f0\u81ea\u5df1\u4e4b\u524d\u5728\u627e\u4e00\u6b3e\u5e26\u6709\u975e\u5e38\u5177\u4f53\u5c3a\u5bf8\u3001\u989c\u8272\u7b49\u8981\u6c42\u7684\u6536\u7eb3\u62bd\u5c49\u3002GPT-5 \u601d\u8003\u4e86\u5927\u7ea6 2.5 \u5206\u949f\uff0c\u5e76\u8fdb\u884c\u4e86\u591a\u6b21\u641c\u7d22\uff0c\u6700\u540e\u7ed9\u4e86\u4ed6\u4e00\u4e2a\u51e0\u4e4e\u5b8c\u5168\u5339\u914d\u7684\u7ed3\u679c\u3002\u800c\u5728\u90a3\u4e4b\u524d\uff0c\u4ed6\u81ea\u5df1\u5728 Amazon\u3001Walmart\u3001Target\u3001Wayfair \u7b49\u7f51\u7ad9\u4e0a\u641c\u4e86\u4e24\u4e2a\u5c0f\u65f6\u90fd\u6ca1\u627e\u5230\u3002\u6700\u540e\u4ed6\u76f4\u63a5\u4e0b\u5355\u4e70\u4e86 GPT-5 \u63a8\u8350\u7684\u90a3\u6b3e\u3002\u5f53\u4ed6\u628a\u5b8c\u5168\u76f8\u540c\u7684\u67e5\u8be2\u4ea4\u7ed9 Claude Opus 4.1 \u65f6\uff0c\u5b83\u4e0d\u4ec5\u7ed9\u51fa\u7684\u5c3a\u5bf8\u9009\u9879\u6bd4\u4ed6\u8981\u6c42\u7684\u5c0f\u5f97\u591a\uff0c\u8fd8\u627e\u4e86\u4e00\u5806\u501f\u53e3\u3002<\/p>\n\n\n\n

\u4e0e\u6b64\u540c\u65f6\uff0c\u5728\u5065\u5eb7\u533b\u7597\u7c7b\u7684\u95ee\u9898\u4e0a\uff0cClaude \u7684\u5e7b\u89c9\u975e\u5e38\u4e25\u91cd\uff0c\u8fd9\u5f88\u5371\u9669\u3002\u5b83\u7ecf\u5e38\u628a\u4e00\u4e9b\u5185\u5bb9\u5f53\u4f5c\u4e8b\u5b9e\u6765\u8bf4\uff0c\u4f46\u8fd9\u4e9b\u5185\u5bb9\u6070\u6070\u4e0e\u533b\u5b66\u754c\u516c\u8ba4\u7684\u7ed3\u8bba\u5b8c\u5168\u76f8\u53cd\u3002\u76f8\u6bd4\u4e4b\u4e0b\uff0cGPT-5 \u7684\u5e7b\u89c9\u7387\u8981\u4f4e\u5f97\u591a\u3002<\/p>\n\n\n\n

\u4e5f\u8bb8\u6b63\u5982\u6700\u540e\u8fd9\u6837\u7f51\u53cb\u6240\u8a00\uff0c\u4e00\u5f00\u59cb\u5e76\u4e0d\u4fe1\u4efb GPT-5\uff0c\u4f46\u7528\u8fc7\u4e4b\u540e\u53d1\u73b0\uff1a\u5b83\u5728\u5404\u4e2a\u9886\u57df\u7684\u8868\u73b0\u786e\u5b9e\u90fd\u4e0d\u9519\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n","protected":false},"excerpt":{"rendered":"

\u4e00\u76f4\u4ee5\u6765\uff0cAnthropic \u7684 Claude \u88ab\u8ba4\u4e3a\u662f\u5904\u7406\u7f16\u7a0b\u4efb\u52a1\u7684\u6700\u4f73\u6a21\u578b\uff0c\u5c24\u5176\u662f\u672c\u6708\u521d\u53d1\u5e03\u7684 Claud […]<\/p>\n","protected":false},"author":1,"featured_media":1282,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[],"class_list":["post-1281","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-10"],"_links":{"self":[{"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/posts\/1281","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/comments?post=1281"}],"version-history":[{"count":1,"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/posts\/1281\/revisions"}],"predecessor-version":[{"id":1293,"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/posts\/1281\/revisions\/1293"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/media\/1282"}],"wp:attachment":[{"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/media?parent=1281"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/categories?post=1281"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/tags?post=1281"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}