{"id":158184,"date":"2025-10-25T12:00:31","date_gmt":"2025-10-25T04:00:31","guid":{"rendered":"https:\/\/www.campus-gpt.com\/?docs=campusgptguide\/%e6%a0%b8%e5%bf%83%e5%8a%9f%e8%83%bd%e4%b8%8e%e6%a8%a1%e5%9e%8b%e9%80%89%e6%8b%a9\/%e5%a6%82%e4%bd%95%e9%80%89%e6%8b%a9%e6%a8%a1%e5%9e%8b%ef%bc%9f\/%e5%9f%ba%e7%a1%80%e6%a8%a1%e5%9e%8b"},"modified":"2026-05-12T02:24:04","modified_gmt":"2026-05-11T18:24:04","slug":"basicmodels","status":"publish","type":"docs","link":"https:\/\/www.campus-gpt.com\/?docs=guidebook\/features\/basicmodels","title":{"rendered":"\u57fa\u7840\u6a21\u578b"},"content":{"rendered":"\n

\u5b9a\u4f4d\uff1a\u9ad8\u9891\u5b66\u672f\u751f\u4ea7\u529b\u5de5\u5177<\/p>\n\n\n\n

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

\u57fa\u7840\u6a21\u578b\u6e05\u5355<\/h2>\n\n\n\n

\u5b98\u65b9\u53c2\u6570\u4e00\u89c8<\/p>\n\n\n\n

<\/div>\n\n\n\n
\u6a21\u578b\u540d\u79f0<\/th>\u6d88\u8017\u500d\u7387<\/th>\u4e0a\u4e0b\u6587\u7a97\u53e3<\/th>\u652f\u6301\u56fe\u7247\u8bc6\u522b<\/th>\u77e5\u8bc6\u622a\u6b62<\/th>\u80fd\u529b\u4eae\u70b9<\/th><\/tr>
gpt-5-nano<\/td>1x<\/td>400,000<\/td>\ud83c\udfde\ufe0f<\/td>2024.05<\/td>\u6700\u5feb\u6700\u7701\uff0c\u65e5\u5e38\u95ee\u7b54\u795e\u5668<\/td><\/tr>
gpt-4.1-nano<\/td>1x<\/td>41,047,576<\/td>\ud83c\udfde\ufe0f<\/td>2024.06<\/td>\u8d85\u957f\u8bb0\u5fc6\uff0c\u6574\u7bc7\u8bba\u6587\u79d2\u5904\u7406<\/td><\/tr>
gpt-5-mini<\/td>5x<\/td>400,000<\/td>\ud83c\udfde\ufe0f<\/td>2024.05<\/td>\u6027\u80fd\u2191\u6210\u672c\u2193\uff0c\u4e2d\u957f\u6587\u4f18\u9009<\/td><\/tr>
gpt-o4-mini<\/td>11x<\/td>200,000<\/td>\ud83c\udfde\ufe0f<\/td>2024.07<\/td>\u6570\u5b66\u3001\u7f16\u7a0b\u3001\u56fe\u5f62\u5206\u6790<\/td><\/tr>
gpt-o3<\/td>20x<\/td>200,000<\/td>\ud83c\udfde\ufe0f<\/td>2024.07<\/td>\u6df1\u5ea6\u63a8\u7406\u3001\u9ad8\u7ea7\u903b\u8f91\u4e0e\u95ee\u9898\u6c42\u89e3<\/td><\/tr>
gpt-5.1<\/td>25x<\/td>400,000<\/td>\ud83c\udfde\ufe0f<\/td>2024.09<\/td>\u6700\u65b0\u65d7\u8230\u3001\u53ef\u914d\u7f6e\u63a8\u7406\u7b49\u7ea7<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u9009\u578b\u7ed3\u8bba\uff1a<\/p>\n\n\n\n

    \n
  • \u901f\u5ea6\u515a \u2192 gpt-5.1<\/li>\n\n\n\n
  • \u957f\u6587\u515a \u2192 gpt-4.1-nano<\/li>\n\n\n\n
  • \u7a0b\u5e8f\u5458 \u2192 gpt-o3<\/li>\n<\/ul>\n\n\n\n
    <\/div>\n\n\n\n

    \u63a8\u8350\u4f7f\u7528\u573a\u666f <\/h2>\n\n\n\n
    \u573a\u666f<\/th>\u9996\u9009\u6a21\u578b<\/th>\u4e00\u53e5\u6307\u4ee4\u793a\u4f8b<\/th><\/tr>
    \u4ee3\u7801\u8c03\u8bd5<\/td>gpt-4o-mini<\/td>\u5e2e\u6211\u4fee\u590d\u8fd9\u4e2a PyTorch \u8bad\u7ec3\u6b7b\u5faa\u73af<\/td><\/tr>
    \u8bba\u6587\u7eed\u5199<\/td>gpt-4.1-nano<\/td>\u57fa\u4e8e\u524d 2 \u7ae0\u7eed\u5199 2000 \u5b57\u65b9\u6cd5\u8bba<\/td><\/tr>
    \u6587\u732e\u6574\u7406<\/td>gpt-4.1-mini<\/td>\u4e0a\u4f20 50 \u9875 PDF\uff0c\u8f93\u51fa\u7ed3\u6784\u5316\u601d\u7ef4\u5bfc\u56fe<\/td><\/tr>
    \u4e2d\u82f1\u7ffb\u8bd1 + \u6da6\u8272<\/td>gpt-5-nano<\/td>\u628a\u8fd9\u6bb5 SCI \u6458\u8981\u7ffb\u8bd1\u5e76\u6539\u5f97\u66f4 native<\/td><\/tr>
    PPT \u8f6c\u5927\u7eb2<\/td>gpt-5-mini<\/td>\u4e0a\u4f20 PPT\uff0c\u63d0\u53d6\u6bcf\u9875\u6807\u9898\u548c\u8981\u70b9<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
    <\/div>\n\n\n\n

    \u5e38\u89c1\u95ee\u9898 (FAQ)<\/h2>\n\n\n\n
    \u95ee\u9898<\/th>\u89e3\u7b54<\/th><\/tr>
    \u89c6\u89c9\u652f\u6301\u600e\u4e48\u7528\uff1f<\/td>\u9009\u6a21\u578b\u540e\u8f93\u5165\u6846\u51fa\u73b0 \u271a \u6309\u94ae\uff0c\u652f\u6301\u624b\u5199\/\u56fe\u8868\u8bc6\u522b<\/td><\/tr>
    1x \u6a21\u578b\u4f1a\u9650\u901f\u5417\uff1f<\/td>\u4e0d\u4f1a\uff011x = \u6807\u51c6\u7b97\u529b\uff0c\u6c38\u4e0d\u6392\u961f<\/td><\/tr>
    \u4e0a\u4e0b\u6587\u8d85\u4e86\u600e\u4e48\u529e\uff1f<\/td>\u81ea\u52a8\u538b\u7f29\u65e9\u671f\u5bf9\u8bdd\uff0c\u6216\u5206\u6bb5\u5904\u7406<\/td><\/tr>
    \u652f\u6301\u6df1\u5ea6\u63a8\u7406\u5417\uff1f<\/td>\u6240\u6709\u6a21\u578b\u90fd\u652f\u6301\uff0c\u53ef\u81ea\u5b9a\u4e49\u63a8\u7406\u7b49\u7ea7<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

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

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