{"id":6216,"date":"2025-04-15T13:04:53","date_gmt":"2025-04-15T13:04:53","guid":{"rendered":"https:\/\/www.myshirtai.com\/?p=6216"},"modified":"2025-04-15T13:04:53","modified_gmt":"2025-04-15T13:04:53","slug":"openai-%e5%8f%91%e5%b8%83-gpt-4-1-%e7%b3%bb%e5%88%97%ef%bc%9a%e7%bc%96%e7%a0%81%e3%80%81%e6%8c%87%e4%bb%a4%e6%89%a7%e8%a1%8c%e4%b8%8e%e9%95%bf%e4%b8%8a%e4%b8%8b%e6%96%87%e8%83%bd%e5%8a%9b%e5%a4%a7","status":"publish","type":"post","link":"https:\/\/www.myshirtai.com\/zh\/archives\/6216","title":{"rendered":"OpenAI \u53d1\u5e03 GPT-4.1 \u7cfb\u5217\uff1a\u7f16\u7801\u3001\u6307\u4ee4\u6267\u884c\u4e0e\u957f\u4e0a\u4e0b\u6587\u80fd\u529b\u5927\u5e45\u63d0\u5347"},"content":{"rendered":"

\u4e00\u3001\u5f15\u8a00<\/h3>\n
2025 \u5e74 4 \u6708 15 \u65e5\uff0cOpenAI \u6b63\u5f0f\u63a8\u51fa\u5168\u65b0\u7684 GPT-4.1 \u7cfb\u5217\u6a21\u578b\uff0c\u5305\u542b GPT-4.1\u3001GPT-4.1 mini \u548c GPT-4.1 nano \u4e09\u4e2a\u7248\u672c\u3002\u6b64\u6b21\u53d1\u5e03\u6807\u5fd7\u7740 OpenAI \u5728\u6a21\u578b\u6027\u80fd\u3001\u6210\u672c\u6548\u7387\u548c\u5b9e\u9645\u5e94\u7528\u80fd\u529b\u4e0a\u7684\u53c8\u4e00\u6b21\u91cd\u5927\u7a81\u7834\uff0c\u7279\u522b\u662f\u5728\u7f16\u7801\u4efb\u52a1\u3001\u6307\u4ee4\u9075\u5faa\u4ee5\u53ca\u957f\u4e0a\u4e0b\u6587\u5904\u7406\u7b49\u9886\u57df\u5b9e\u73b0\u4e86\u663e\u8457\u63d0\u5347\uff0c\u540c\u65f6\u4ee5\u66f4\u4f4e\u7684\u4ef7\u683c\u548c\u5ef6\u8fdf\u4e3a\u5f00\u53d1\u8005\u5e26\u6765\u4e86\u66f4\u4f18\u7684\u9009\u62e9\u3002<\/div>\n

\u76ee\u524d\uff0c GPT-4.1 mini\u5df2\u5728 ShirtAI\u4e0a\u7ebf\uff0c\u53ef\u4ee5\u514d\u8d39\u65e0\u9650\u4f7f\u7528\uff0c \u5b98\u7f51\u4e00\u952e\u76f4\u8fbe\uff1awww.lsshirtai.com<\/a> <\/span><\/strong><\/p>\n

\"\"<\/div>\n
<\/div>\n

 <\/p>\n

\u5982\u679c\u60f3\u8981\u4ee5API\u5f62\u5f0f\u8c03\u7528<\/strong><\/strong> GPT-4.1<\/strong> \uff0c\u53ef\u67e5\u770b\u7f51\u7ad9\uff1ahttps:\/\/coultra.blueshirtmap.com\/<\/a><\/span><\/strong><\/p>\n

\"\"<\/h3>\n

\u4e8c\u3001\u7f16\u7801\u80fd\u529b\u8dc3\u5347\uff1a\u4ece\u4ee3\u7801\u751f\u6210\u5230\u5de5\u7a0b\u5b9e\u8df5\u7684\u5168\u7ef4\u5ea6\u5f3a\u5316<\/h3>\n
\u5728\u8f6f\u4ef6\u5f00\u53d1\u7684\u6838\u5fc3\u6218\u573a\uff0cGPT-4.1 \u7cfb\u5217\u5c55\u73b0\u51fa\u4ece \u201c\u4ee3\u7801\u7247\u6bb5\u751f\u6210\u201d \u5230 \u201c\u590d\u6742\u5de5\u7a0b\u5904\u7406\u201d \u7684\u8d28\u53d8\u3002\u9488\u5bf9\u771f\u5b9e\u4e16\u754c\u7684\u8f6f\u4ef6\u5de5\u7a0b\u9700\u6c42\uff0c\u6a21\u578b\u5728 SWE-bench Verified \u6d4b\u8bd5\u4e2d\u5b9e\u73b0 54.6% \u7684\u4efb\u52a1\u5b8c\u6210\u7387\uff0c\u8f83\u524d\u4ee3 GPT-4o \u63d0\u5347 21%\uff0c\u751a\u81f3\u8d85\u8d8a\u5c1a\u672a\u6b63\u5f0f\u53d1\u5e03\u7684 GPT-4.5 \u9884\u89c8\u7248 26.6 \u4e2a\u767e\u5206\u70b9\u3002\u8fd9\u4e00\u7a81\u7834\u4e0d\u4ec5\u4f53\u73b0\u5728\u4ee3\u7801\u903b\u8f91\u7684\u51c6\u786e\u6027\u4e0a\uff0c\u66f4\u8868\u73b0\u4e3a\u5bf9\u591a\u8bed\u8a00\u4ee3\u7801\u5e93\u7684\u6df1\u5ea6\u7406\u89e3 \u2014\u2014 \u5728 Aider \u591a\u8bed\u8a00\u5dee\u5f02\u57fa\u51c6\u6d4b\u8bd5\u4e2d\uff0cGPT-4.1 \u5f97\u5206\u8f83 GPT-4o \u7ffb\u500d\uff0c\u80fd\u7cbe\u51c6\u9075\u5faa diff \u683c\u5f0f\u4ec5\u8f93\u51fa\u4fee\u6539\u884c\uff0c\u5c06\u8f93\u51fa token \u4e0a\u9650\u7a33\u5b9a\u63a7\u5236\u572832768 \u4e2a\uff0c\u5927\u5e45\u964d\u4f4e\u5f00\u53d1\u8005\u8c03\u8bd5\u6210\u672c\u3002\u524d\u7aef\u5f00\u53d1\u573a\u666f\u4e2d\uff0c\u4eba\u5de5\u8bc4\u5206\u663e\u793a\u5176\u751f\u6210\u7684 Web \u5e94\u7528\u5728\u529f\u80fd\u6027\u4e0e\u7f8e\u89c2\u5ea6\u4e0a\u53d7\u9752\u7750\u7684\u6982\u7387\u8fbe 80%\uff0c\u5168\u6808\u5f00\u53d1\u80fd\u529b\u9996\u6b21\u8d85\u8d8a\u591a\u6570\u4e13\u7528\u4ee3\u7801\u6a21\u578b\u3002<\/div>\n
\u6838\u5fc3\u6307\u6807\u5bf9\u6bd4\uff1a<\/div>\n
\n\n\n\n\n\n\n\n\n
\u6a21\u578b<\/th>\nSWE-bench Verified<\/th>\nAider \u591a\u8bed\u8a00\u57fa\u51c6<\/th>\n\u524d\u7aef\u5f00\u53d1\u4eba\u5de5\u8bc4\u5206<\/th>\n\u8f93\u51fa token \u4e0a\u9650<\/th>\n\u4ee3\u7801 diff \u51c6\u786e\u7387<\/th>\n<\/tr>\n<\/thead>\n
GPT-4.1<\/td>\n54.6%<\/td>\n11.2<\/td>\n80%<\/td>\n32768<\/td>\n53%<\/td>\n<\/tr>\n
GPT-4.5 Preview<\/td>\n38.0%<\/td>\n7.4<\/td>\n52%<\/td>\n16384<\/td>\n45%<\/td>\n<\/tr>\n
o3-mini-high<\/td>\n49.3%<\/td>\n9.8<\/td>\n65%<\/td>\n16384<\/td>\n60%<\/td>\n<\/tr>\n
o1<\/td>\n41.2%<\/td>\n6.1<\/td>\n48%<\/td>\n128000<\/td>\n62%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

\"\"<\/h3>\n

\"\"<\/p>\n

 <\/p>\n

\u4e09\u3001\u6307\u4ee4\u6267\u884c\u7a81\u7834\uff1a\u590d\u6742\u4efb\u52a1\u5904\u7406\u7684\u7cbe\u51c6\u5ea6\u4e0e\u53ef\u9760\u6027\u53cc\u63d0\u5347<\/h3>\n
\u9762\u5bf9\u591a\u6b65\u9aa4\u3001\u591a\u7ea6\u675f\u7684\u590d\u6742\u6307\u4ee4\uff0cGPT-4.1 \u5b9e\u73b0\u4e86\u4ece \u201c\u6a21\u7cca\u5339\u914d\u201d \u5230 \u201c\u7cbe\u51c6\u6267\u884c\u201d \u7684\u8de8\u8d8a\u3002\u5728 Scale \u7684 MultiChallenge \u57fa\u51c6\u4e2d\uff0c\u5176\u6307\u4ee4\u9075\u5faa\u80fd\u529b\u5f97\u5206\u8fbe 38.3%\uff0c\u8f83 GPT-4o \u63d0\u5347 10.5%\uff1bIFEval \u57fa\u51c6\u5f97\u5206 87.4%\uff0c\u8fdc\u8d85\u524d\u4ee3 81.0% \u7684\u6c34\u5e73\u3002\u6a21\u578b\u7279\u522b\u5f3a\u5316\u4e86\u683c\u5f0f\u9075\u5faa\uff08\u5982 XML\/YAML \u5d4c\u5957\u7ed3\u6784\uff09\u3001\u8d1f\u9762\u6307\u4ee4\uff08\u660e\u786e\u62d2\u7edd\u654f\u611f\u8bf7\u6c42\uff09\u3001\u6709\u5e8f\u4efb\u52a1\uff08\u6309\u6b65\u9aa4\u6267\u884c\u5de5\u4f5c\u6d41\uff09\u4e09\u5927\u96be\u70b9\uff0c\u5728 OpenAI \u5185\u90e8\u8bc4\u4f30\u4e2d\uff0c\u56f0\u96be\u63d0\u793a\u573a\u666f\u4e0b\u7684\u65e0\u6548\u7f16\u8f91\u9891\u7387\u4ece GPT-4o \u7684 9% \u9aa4\u964d\u81f3 2%\u3002\u591a\u8f6e\u5bf9\u8bdd\u4e2d\uff0c\u5176\u4e0a\u4e0b\u6587\u8fde\u8d2f\u6027\u8fbe92%\uff0c\u80fd\u51c6\u786e\u8ffd\u8e2a\u5386\u53f2\u6307\u4ee4\u4e2d\u7684\u7ec6\u8282\u8981\u6c42\uff0c\u4e3a\u667a\u80fd\u5ba2\u670d\u3001\u81ea\u52a8\u5316\u5de5\u4f5c\u6d41\u7b49\u573a\u666f\u63d0\u4f9b\u4e86\u5de5\u4e1a\u7ea7\u53ef\u9760\u6027\u3002<\/div>\n
\u6838\u5fc3\u6307\u6807\u5bf9\u6bd4\uff1a<\/div>\n
\n\n\n\n\n\n\n\n\n
\u6a21\u578b<\/th>\nMultiChallenge<\/th>\nIFEval<\/th>\n\u591a\u8f6e\u5bf9\u8bdd\u8fde\u8d2f\u6027<\/th>\n\u8d1f\u9762\u6307\u4ee4\u9075\u5faa<\/th>\n\u6709\u5e8f\u4efb\u52a1\u5b8c\u6210\u7387<\/th>\n<\/tr>\n<\/thead>\n
GPT-4.1<\/td>\n38.3%<\/td>\n87.4%<\/td>\n92%<\/td>\n98%<\/td>\n95%<\/td>\n<\/tr>\n
GPT-4.5 Preview<\/td>\n44.2%<\/td>\n81.0%<\/td>\n78%<\/td>\n89%<\/td>\n82%<\/td>\n<\/tr>\n
o3-mini-high<\/td>\n40.1%<\/td>\n85.2%<\/td>\n88%<\/td>\n96%<\/td>\n91%<\/td>\n<\/tr>\n
o1<\/td>\n45.1%<\/td>\n87.1%<\/td>\n89%<\/td>\n97%<\/td>\n94%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

\"\"<\/h3>\n

 <\/p>\n

\u56db\u3001\u957f\u4e0a\u4e0b\u6587\u9769\u65b0\uff1a\u767e\u4e07 token \u7a97\u53e3\u5f00\u542f\u591a\u573a\u666f\u6df1\u5ea6\u5e94\u7528\u65b0\u53ef\u80fd<\/h3>\n
GPT-4.1 \u5168\u7cfb\u6807\u914d\u7684 100 \u4e07 token \u4e0a\u4e0b\u6587\u7a97\u53e3\uff0c\u5c06\u957f\u6587\u672c\u5904\u7406\u80fd\u529b\u63a8\u5411\u65b0\u7ef4\u5ea6 \u2014\u2014 \u53ef\u5bb9\u7eb3\u7ea6 8 \u4e2a\u5b8c\u6574 React \u4ee3\u7801\u5e93\u6216 3000 \u9875\u6cd5\u5f8b\u6587\u6863\uff0c\u5f7b\u5e95\u89e3\u51b3\u4e86\u524d\u4ee3\u6a21\u578b \u201c\u65ad\u7ae0\u53d6\u4e49\u201d \u7684\u75db\u70b9\u3002\u5728 Video-MME \u65e0\u5b57\u5e55\u957f\u89c6\u9891\u5206\u6790\u4efb\u52a1\u4e2d\uff0c\u6a21\u578b\u5f97\u5206 72%\uff0c\u8f83 GPT-4o \u63d0\u5347 6.7%\uff1b\u5f00\u6e90\u6570\u636e\u96c6 Graphwalks \u6d4b\u8bd5\u663e\u793a\uff0c\u5176\u5728\u767e\u4e07 token \u89c4\u6a21\u4e0b\u7684\u591a\u8df3\u63a8\u7406\u51c6\u786e\u7387\u8fbe 61.7%\uff0c\u8fdc\u8d85\u4f9d\u8d56\u77ed\u4e0a\u4e0b\u6587\u7684 o1 \u6a21\u578b\uff0848.7%\uff09\u3002OpenAI \u540c\u6b65\u4f18\u5316\u4e86\u957f\u4e0a\u4e0b\u6587\u8bf7\u6c42\u7684\u7ecf\u6d4e\u6027\uff1a\u5c06 100 \u4e07 token \u7a97\u53e3\u7eb3\u5165\u6807\u51c6\u5b9a\u4ef7\uff0c\u7f13\u5b58\u6298\u6263\u4ece 50% \u63d0\u5347\u81f3 75%\uff0c128K token \u54cd\u5e94\u5ef6\u8fdf\u964d\u81f3 15 \u79d2\uff0c\u6bd4 GPT-4.5 \u5feb 30%\uff0c\u4e3a\u6cd5\u5f8b\u5408\u540c\u5ba1\u67e5\u3001\u5927\u578b\u4ee3\u7801\u5e93\u5ba1\u8ba1\u7b49\u573a\u666f\u63d0\u4f9b\u4e86\u53ef\u843d\u5730\u7684\u6280\u672f\u65b9\u6848\u3002<\/div>\n
\u6838\u5fc3\u6307\u6807\u5bf9\u6bd4\uff1a<\/div>\n
\n\n\n\n\n\n\n\n\n
\u6a21\u578b<\/th>\n\u4e0a\u4e0b\u6587\u7a97\u53e3<\/th>\nVideo-MME \u65e0\u5b57\u5e55<\/th>\nGraphwalks \u63a8\u7406<\/th>\n\u7f13\u5b58\u6298\u6263<\/th>\n128K token \u5ef6\u8fdf<\/th>\n<\/tr>\n<\/thead>\n
GPT-4.1<\/td>\n1,000,000<\/td>\n72.0%<\/td>\n61.7%<\/td>\n75%<\/td>\n15 \u79d2<\/td>\n<\/tr>\n
GPT-4.5 Preview<\/td>\n128,000<\/td>\n65.3%<\/td>\n42.0%<\/td>\n50%<\/td>\n22 \u79d2<\/td>\n<\/tr>\n
o3-mini-high<\/td>\n256,000<\/td>\n68.5%<\/td>\n55.2%<\/td>\n50%<\/td>\n18 \u79d2<\/td>\n<\/tr>\n
o1<\/td>\n128,000<\/td>\n64.1%<\/td>\n48.7%<\/td>\n50%<\/td>\n25 \u79d2<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

\"\"<\/h3>\n

\"\"<\/p>\n

\u4e94\u3001\u6210\u672c\u4e0e\u6548\u7387\uff1a\u5f00\u53d1\u8005\u7684\u5b9e\u7528\u4e3b\u4e49\u5347\u7ea7<\/h3>\n
OpenAI \u901a\u8fc7 \u201c\u5206\u5c42\u5b9a\u4ef7 + \u6027\u80fd\u4f18\u5316\u201d \u7b56\u7565\uff0c\u8ba9\u4e0d\u540c\u89c4\u6a21\u7684\u5f00\u53d1\u8005\u90fd\u80fd\u83b7\u5f97\u9ad8\u6027\u4ef7\u6bd4\u9009\u62e9\u3002\u5165\u95e8\u7ea7\u6a21\u578b GPT-4.1 nano \u5728\u4fdd\u6301\u767e\u4e07 token \u7a97\u53e3\u7684\u540c\u65f6\uff0c\u5c06\u8f93\u5165\u6210\u672c\u964d\u81f3 2 \u7f8e\u5143 \/ \u767e\u4e07 token\uff0c\u8f93\u51fa\u6210\u672c 8 \u7f8e\u5143 \/ \u767e\u4e07 token\uff0c\u5ef6\u8fdf\u8f83 GPT-4o \u964d\u4f4e 50%\uff0c\u6210\u4e3a\u6587\u672c\u5206\u7c7b\u3001\u81ea\u52a8\u8865\u5168\u7b49\u8f7b\u91cf\u4efb\u52a1\u7684\u9996\u9009\uff1b\u4e2d\u7aef\u578b\u53f7 GPT-4.1 mini \u5728\u4ee3\u7801\u751f\u6210\u3001\u591a\u8f6e\u5bf9\u8bdd\u7b49\u4e2d\u5ea6\u8d1f\u8f7d\u573a\u666f\u4e2d\uff0c\u6027\u80fd\u8d85\u8d8a GPT-4o \u7684\u540c\u65f6\u6210\u672c\u51cf\u5c11 60%\u3002\u5bf9\u6bd4\u6765\u770b\uff0cGPT-4.5 \u9884\u89c8\u7248\u7684\u8f93\u5165\u6210\u672c\u9ad8\u8fbe 75 \u7f8e\u5143 \/ \u767e\u4e07 token\uff0c\u6027\u4ef7\u6bd4\u4ec5\u4e3a GPT-4.1 \u7684 1\/25\uff0c\u8fd9\u4e5f\u662f\u5176\u5c06\u4e8e 2025 \u5e74 7 \u6708\u5f03\u7528\u7684\u4e3b\u56e0\u3002\u6b64\u5916\uff0c\u65b0\u6a21\u578b\u7edf\u4e00\u91c7\u7528 \u201c\u957f\u4e0a\u4e0b\u6587\u65e0\u9644\u52a0\u8d39\u201d \u653f\u7b56\uff0c\u5f7b\u5e95\u6539\u53d8\u4e86\u524d\u4ee3\u6a21\u578b\u5904\u7406\u957f\u6587\u672c\u65f6\u7684\u6210\u672c\u75db\u70b9\u3002<\/div>\n
\u6838\u5fc3\u6307\u6807\u5bf9\u6bd4\uff1a<\/div>\n
\n\n\n\n\n\n\n\n\n\n\n
\u6a21\u578b<\/th>\n\u8f93\u5165\u6210\u672c\uff08$\/ \u767e\u4e07 token\uff09<\/th>\n\u8f93\u51fa\u6210\u672c\uff08$\/ \u767e\u4e07 token\uff09<\/th>\n\u5ef6\u8fdf\uff08128K token\uff09<\/th>\n<\/tr>\n<\/thead>\n
GPT-4.1 nano<\/td>\n0.10<\/td>\n0.40<\/td>\n5 \u79d2<\/td>\n<\/tr>\n
GPT-4.1 mini<\/td>\n0.40<\/td>\n1.60<\/td>\n8 \u79d2<\/td>\n<\/tr>\n
GPT-4.1<\/td>\n2.00<\/td>\n8.00<\/td>\n15 \u79d2<\/td>\n<\/tr>\n
GPT-4.5 Preview<\/td>\n75.0<\/td>\n150.0<\/td>\n22 \u79d2<\/td>\n<\/tr>\n
o3-mini-high<\/td>\n1.10<\/td>\n4.40<\/td>\n18 \u79d2<\/td>\n<\/tr>\n
o1<\/td>\n15.00<\/td>\n60.00<\/td>\n25 \u79d2<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
* \u6027\u4ef7\u6bd4\u6307\u6570 =\uff08\u7f16\u7801\u80fd\u529b + \u6307\u4ee4\u5f97\u5206 + \u4e0a\u4e0b\u6587\u7a97\u53e3\uff09\/\uff08\u6210\u672c + \u5ef6\u8fdf\uff09\uff0c\u6570\u503c\u8d8a\u9ad8\u8d8a\u4f18<\/span><\/div>\n
\n

 <\/p>\n

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\u66f4\u591a\u4ea7\u54c1\u8bf7\u67e5\u770b<\/h4>\n<\/th>\n

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\u66f4\u591a\u5185\u5bb9\u8bf7\u67e5\u770b<\/h4>\n<\/th>\n<\/tr>\n<\/thead>\n

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