{"id":5180,"date":"2025-11-25T03:27:24","date_gmt":"2025-11-25T07:27:24","guid":{"rendered":"https:\/\/wp.glbgpt.com\/?p=5180"},"modified":"2026-05-11T04:40:17","modified_gmt":"2026-05-11T08:40:17","slug":"gemini-3-vs-gemini-3-pro","status":"publish","type":"post","link":"https:\/\/wp.glbgpt.com\/hub\/zh\/gemini-3-vs-gemini-3-pro","title":{"rendered":"\u53cc\u5b50\u5ea7 3 \u4e0e\u53cc\u5b50\u5ea7 3 Pro\uff1a\u771f\u6b63\u7684\u533a\u522b\u662f\u4ec0\u4e48\uff1f"},"content":{"rendered":"

\u5982\u679c\u60a8\u60f3\u77e5\u9053\u8c37\u6b4c\u65b0\u7684 \u53cc\u5b50\u5ea7 3 \u4e0e\u53cc\u5b50\u5ea7 3 Pro<\/strong> \u76f8\u6bd4\u4e4b\u4e0b\uff0c\u7b54\u6848\u5f88\u7b80\u5355\uff1a<\/p>\n\n\n\n

Gemini 3 \u662f\u8c37\u6b4c\u6700\u65b0\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u7684\u603b\u4ee3\u540d\u79f0\uff0c\u800c Gemini 3 Pro \u5219\u662f\u4e13\u4e3a\u4e13\u4e1a\u548c\u4f01\u4e1a\u7528\u9014\u8bbe\u8ba1\u7684\u521d\u7ea7\u5f00\u53d1\u4eba\u5458\u5c31\u7eea\u7248\u672c\u3002. <\/p>\n\n\n\n

\u6362\u53e5\u8bdd\u8bf4 \u53cc\u5b50\u5ea7<\/strong> \u662f\u5bb6\u5ead\u3001, \u53cc\u5b50\u5ea7\u4e13\u4e1a\u7248<\/strong> \u5c31\u662f\u9a71\u52a8\u5b83\u7684\u5f15\u64ce\u3002\u5982\u679c\u60a8\u8fd8\u6ca1\u6709\u8ba2\u9605 Google Ultra\uff0c\u90a3\u4e48\u6709\u4e00\u4e2a\u597d\u6d88\u606f--\u60a8\u53ef\u4ee5\u4f7f\u7528 Google Ultra\u3002 GlobalGPT<\/a><\/strong> \u5df2\u5c06 \u53cc\u5b50\u5ea7 3 Pro<\/strong>, \u56e0\u6b64\uff0c\u60a8\u53ef\u4ee5\u5c1d\u8bd5\u8fd9\u4e2a\u529f\u80fd\u5f3a\u5927\u7684 \u53cc\u5b50\u5ea7 vs \u53cc\u5b50\u5ea7\u4e13\u4e1a\u7248<\/strong> \u4eca\u5929\u5c31\u514d\u8d39\u4f53\u9a8c\u3002.<\/p>\n\n\n\n

<\/p>\n\n\n\n

\"\u5728<\/a><\/figure>\n\n\n\n
\n
\u7acb\u5373\u8bd5\u7528\u53cc\u5b50\u5ea7 3 Pro ><\/strong><\/a><\/div>\n<\/div>\n\n\n\n

1.\u6982\u8ff0 - \u4ec0\u4e48\u662f Gemini 3 \u548c Gemini 3 Pro\uff1f<\/h2>\n\n\n\n

\u53cc\u5b50\u5ea7 3<\/strong> \u5728\u8c37\u6b4c\u7684\u4eba\u5de5\u667a\u80fd\u751f\u6001\u7cfb\u7edf\u4e2d\u5f15\u5165\u4e86\u4e00\u4e2a\u65b0\u7684\u667a\u80fd\u65f6\u4ee3\u3002\u5b83\u662f\u4e00\u4e2a\u591a\u6a21\u5f0f\u57fa\u7840\u6a21\u578b\uff0c\u80fd\u591f\u5728\u5355\u4e00\u754c\u9762\u5185\u7406\u89e3\u6587\u672c\u3001\u56fe\u50cf\u3001\u89c6\u9891\u548c\u4ee3\u7801\u3002\u4e0d\u8fc7\uff0c\u5728\u6bd4\u8f83 Gemini 3 \u4e0e Gemini 3 Pro \u65f6\uff0cPro \u7248\u672c\u662f\u529f\u80fd\u5168\u9762\u7684\u4e13\u4e1a\u7248\u3002.<\/p>\n\n\n\n

\u53cc\u5b50\u5ea7 3 Pro<\/strong> \u53ef\u901a\u8fc7 Gemini API\u3001Vertex AI \u548c\u8c37\u6b4c\u4e91\u4f7f\u7528\u3002\u5f00\u53d1\u4eba\u5458\u548c\u9ad8\u7ea7\u7528\u6237\u53ef\u4e0e \u53cc\u5b50\u5ea7 3 Pro<\/strong> \u5728\u6784\u5efa\u5de5\u5177\u3001\u7f16\u7801\u4ee3\u7406\u6216\u751f\u6210\u9ad8\u4fdd\u771f\u5185\u5bb9\u65f6\u3002.<\/p>\n\n\n\n

2.\u6838\u5fc3\u533a\u522b\uff1a\u53cc\u5b50\u5ea7 3 \u4e0e\u53cc\u5b50\u5ea7 3 Pro <\/h2>\n\n\n\n
\u7279\u70b9<\/th>\u53cc\u5b50\u5ea7 3<\/th>\u53cc\u5b50\u5ea7 3 Pro<\/th><\/tr><\/thead>
\u76ee\u7684<\/strong><\/td>\u5b66\u4e60\u3001\u641c\u7d22\u3001\u521b\u9020\u529b\u7684\u4e00\u822c\u6a21\u5f0f<\/td>\u5f00\u53d1\u4eba\u5458\u7ea7\u548c\u4f01\u4e1a\u7ea7\u6a21\u5f0f<\/td><\/tr>
\u63a8\u7406\u80fd\u529b<\/strong><\/td>\u5904\u7406\u5e38\u89c1\u4efb\u52a1<\/td>\u5148\u8fdb\u7684\u79d1\u5b66\u3001\u6570\u5b66\u548c\u903b\u8f91\u63a8\u7406\u80fd\u529b<\/td><\/tr>
\u4ee3\u7406\u529f\u80fd<\/strong><\/td> \u4e0d\u8be6<\/td>\u4ee3\u7406\u7f16\u7801\u3001\u957f\u8fdc\u89c4\u5212\u3001\u201c\u6c1b\u56f4\u7f16\u7801\u201d<\/td><\/tr>
\u591a\u6a21\u6001\u7406\u89e3<\/strong><\/td>\u6587\u672c\u3001\u97f3\u9891\u3001\u56fe\u50cf\u3001\u89c6\u9891\u548c\u7b80\u5355\u7684 PDF \u6587\u4ef6<\/td>\u5b8c\u5168\u591a\u6a21\u5f0f\uff0c\u53ef\u5904\u7406\u590d\u6742\u6587\u4ef6\u548c\u4ee3\u7801<\/td><\/tr>
\u4e0a\u4e0b\u6587\u7a97\u53e3<\/strong><\/td>256K \u4ee3\u5e01<\/td>100 \u4e07\u4ee3\u5e01<\/td><\/tr>
\u589e\u5f3a\u6a21\u5f0f<\/strong><\/td>\u6807\u51c6\u63a8\u7406<\/td>\u6df1\u5ea6\u601d\u8003\u6a21\u5f0f\uff08\u4ec5\u9650 Ultra\uff09<\/td><\/tr>
\u56fe\u50cf\u751f\u6210\u5668<\/strong><\/td>\u7eb3\u7c73\u9999\u8549<\/td>\u7eb3\u7c73\u9999\u8549 Pro\uff084K HDR\uff09<\/td><\/tr>
\u5e94\u7528\u7a0b\u5e8f\u63a5\u53e3\u4e0e\u96c6\u6210<\/strong><\/td>\u6709\u9650\u516c\u53f8<\/td>\u5b8c\u6574\u7684\u53cc\u5b50\u5ea7\u5e94\u7528\u7a0b\u5e8f\u63a5\u53e3\u3001\u4eba\u5de5\u667a\u80fd\u5de5\u4f5c\u5ba4\u3001\u9876\u70b9\u4eba\u5de5\u667a\u80fd\u3001\u53cd\u91cd\u529b<\/td><\/tr>
\u5b9a\u4ef7<\/strong><\/td>\u514d\u8d39\/\u5165\u95e8\u7ea7<\/td>\u4e13\u4e1a\u7248\uff08$19.99\/\u6708\uff09\u548c\u8d85\u5f3a\u7248\uff08$124.99\/\u6708\uff09<\/td><\/tr>
\u6700\u9002\u5408<\/strong><\/td>\u4e34\u65f6\u7528\u6237<\/td>\u5f00\u53d1\u8005\u3001\u521b\u4f5c\u8005\u3001\u4f01\u4e1a<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

3.\u6027\u80fd\u548c\u57fa\u51c6\u7ed3\u679c<\/h2>\n\n\n\n

\u53cc\u5b50\u5ea7 3 Pro<\/strong> \u662f\u8c37\u6b4c\u7528\u4e8e\u9ad8\u7ea7\u63a8\u7406\u548c\u591a\u6a21\u6001\u4efb\u52a1\u7684\u6700\u4f73\u6a21\u578b\u3002.<\/p>\n\n\n\n

\"\u53cc\u5b50\u5ea7<\/figure>\n\n\n\n

\u5728\u4efb\u4f55 Gemini \u4e0e Gemini Pro \u7684\u6bd4\u8f83\u4e2d\uff0c\u57fa\u51c6\u6d4b\u8bd5\u7ed3\u679c\u90fd\u4f1a\u7a81\u51fa\u663e\u793a Pro \u7248\u672c\u7684\u4f18\u52bf\uff1a<\/p>\n\n\n\n

    \n
  • GPQA \u94bb\u77f3\uff1a<\/strong> 91.9% \u7cbe\u786e\u5ea6<\/li>\n\n\n\n
  • LMArena \u6392\u884c\u699c\uff1a<\/strong> 1501 Elo<\/li>\n\n\n\n
  • \u89c6\u9891-MMMU\uff1a<\/strong> 87.6%<\/li>\n<\/ul>\n\n\n\n

    \u8fd9\u4e9b\u5206\u6570\u8868\u660e \u53cc\u5b50\u5ea7 3 Pro<\/strong> \u64c5\u957f\u79d1\u5b66\u63a8\u7406\u548c\u89c6\u9891\u7406\u89e3\u3002.<\/sup><\/p>\n\n\n\n

    4.\u53cc\u5b50\u5ea7 3 \u601d\u8003\u4e0e\u4e13\u4e1a\u6df1\u5ea6\u601d\u8003\u6a21\u5f0f<\/h2>\n\n\n\n
    \"\u53cc\u5b50\u5ea7<\/figure>\n\n\n\n

    \u6df1\u5ea6\u601d\u8003\u6a21\u5f0f\u662f\u4e00\u79cd\u9ad8\u7ea7\u63a8\u7406\u6a21\u5f0f\uff0c\u4e3a \u53cc\u5b50\u5ea7 3 Pro<\/strong> (\u7279\u7ea7\uff09\u3002.<\/p>\n\n\n\n

    \u8c37\u6b4c DeepMind \u62a5\u544a\uff1a<\/p>\n\n\n\n

      \n
    • \u4eba\u7c7b\u6700\u540e\u7684\u8003\u8bd5<\/strong> 41%<\/li>\n\n\n\n
    • GPQA \u94bb\u77f3\uff1a<\/strong> 93.8%<\/li>\n\n\n\n
    • ARC-AGI-2\uff1a<\/strong> 45.1%<\/li>\n<\/ul>\n\n\n\n

      \u8be5\u6a21\u5f0f\u589e\u5f3a\u4e86\u601d\u7ef4\u903b\u8f91\u94fe\u548c\u6570\u5b66\u7cbe\u5ea6\u3002\u6807\u51c6\u53cc\u5b50\u5ea7\u53ef\u5904\u7406\u5feb\u901f\u67e5\u8be2\u3001, \u53cc\u5b50\u5ea7 3 Pro<\/strong> \u6df1\u5ea6\u601d\u8003 \"\u53ea\u7528\u4e8e\u89e3\u51b3\u6700\u590d\u6742\u7684\u95ee\u9898\u3002.<\/p>\n\n\n\n

      5.\u8bbf\u95ee\u548c\u53ef\u7528\u6027<\/h2>\n\n\n\n

      \u53cc\u5b50\u5ea7 3\uff08\u6807\u51c6\uff09<\/h3>\n\n\n\n
        \n
      • \u53ef\u5728\u53cc\u5b50\u5ea7\u5e94\u7528\u7a0b\u5e8f\u548c\u8c37\u6b4c\u641c\u7d22\u7684\u4eba\u5de5\u667a\u80fd\u6a21\u5f0f\u4e2d\u4f7f\u7528<\/li>\n\n\n\n
      • \u514d\u8d39\uff0c\u6bcf\u65e5\u9650\u989d<\/li>\n\n\n\n
      • \u4ee5\u5b66\u4e60\u3001\u521b\u9020\u548c\u4e00\u822c\u4efb\u52a1\u4e3a\u5bfc\u5411<\/li>\n<\/ul>\n\n\n\n

        \u53cc\u5b50\u5ea7 3 Pro<\/h3>\n\n\n\n
          \n
        • \u53ef\u901a\u8fc7 Gemini API\u3001Google Cloud Vertex AI\u3001AI Studio \u548c Gemini CLI \u8bbf\u95ee<\/li>\n\n\n\n
        • \u9700\u8981\u8ba2\u8d2d Gemini AI Pro \u6216 Ultra<\/li>\n\n\n\n
        • \u652f\u6301\u7f16\u7801\u3001\u4ee3\u7406\u5de5\u4f5c\u6d41\u7a0b\u548c 4K Nano Banana Pro \u56fe\u50cf<\/li>\n\n\n\n
        • \u4e0e GlobalGPT\u3001Cursor\u3001Replit\u3001JetBrains \u7b49\u5e73\u53f0\u96c6\u6210<\/li>\n<\/ul>\n\n\n\n

          6.\u7528\u4f8b--\u8c01\u5e94\u8be5\u9009\u62e9\u54ea\u4e2a\u7248\u672c\uff1f<\/h2>\n\n\n\n
          \u7528\u6237\u7c7b\u578b<\/th>\u63a8\u8350\u673a\u578b<\/th>\u539f\u56e0<\/th><\/tr><\/thead>
          \u5b66\u4e60\u8005\/\u4e34\u65f6\u7528\u6237<\/td>\u53cc\u5b50\u5ea7 3<\/td>\u975e\u5e38\u9002\u5408\u6559\u80b2\u548c\u65e5\u5e38\u5de5\u4f5c<\/td><\/tr>
          \u4e13\u4e1a\u521b\u4f5c\u8005<\/td>\u53cc\u5b50\u5ea7 3 Pro<\/td>4K \u56fe\u50cf + \u521b\u610f\u7f16\u7801<\/td><\/tr>
          \u5f00\u53d1\u4eba\u5458\/\u6280\u672f\u4e13\u5bb6<\/td>\u53cc\u5b50\u5ea7 3 Pro<\/td>\u5e94\u7528\u7a0b\u5e8f\u63a5\u53e3\u3001\u6df1\u5ea6\u601d\u8003\u3001\u4ee3\u7406\u5de5\u4f5c\u6d41<\/td><\/tr>
          \u4f01\u4e1a<\/td>\u9876\u70b9\u4eba\u5de5\u667a\u80fd\u4e0a\u7684\u53cc\u5b50\u5ea7 3 Pro<\/td>\u53ef\u6269\u5c55\u6027\u548c\u5b89\u5168\u6027<\/td><\/tr>
          \u4eba\u5de5\u667a\u80fd\u7814\u7a76\u4eba\u5458<\/td>\u53cc\u5b50\u5ea7 3 Pro + \u6df1\u5ea6\u601d\u8003<\/td>\u957f\u8bed\u5883\u63a8\u7406<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

          7.\u4e3b\u8981\u6536\u83b7--\u53cc\u5b50\u5ea7 3 \u4e0e\u53cc\u5b50\u5ea7 3 Pro<\/h2>\n\n\n\n
            \n
          • \u53cc\u5b50\u5ea7 3<\/strong> = \u9762\u5411\u516c\u4f17\u7684\u65e5\u5e38\u4f7f\u7528\u6a21\u5f0f\u3002.<\/li>\n\n\n\n
          • \u53cc\u5b50\u5ea7 3 Pro<\/strong> = \u662f\u5f00\u53d1\u3001\u7814\u7a76\u548c\u4f01\u4e1a\u5de5\u4f5c\u6d41\u7a0b\u80cc\u540e\u7684\u5f3a\u5927\u5f15\u64ce\u3002.<\/li>\n\n\n\n
          • \u53cc\u5b50\u5ea7 3 \u601d\u8003\u4e0e\u4e13\u4e1a<\/strong> \u6df1\u5ea6\u601d\u8003\u6a21\u5f0f\u662f\u8f83\u9ad8\u7ea7\u522b\u7684\u72ec\u6709\u6a21\u5f0f\u3002.<\/li>\n\n\n\n
          • \u4e13\u4e1a\u7248\u7528\u6237\u53ef\u83b7\u5f97 4K \u56fe\u50cf\u6765\u81ea Nano Banana Pro<\/strong> \u548c \u4ee3\u7406\u81ea\u52a8\u5316<\/strong>.<\/li>\n\n\n\n
          • \u8fd9\u4e24\u79cd\u6a21\u5f0f\u90fd\u6807\u5fd7\u7740\u8c37\u6b4c\u5411\u81ea\u9002\u5e94\u3001\u591a\u6a21\u6001\u3001\u60c5\u5883\u611f\u77e5\u7684\u4eba\u5de5\u667a\u80fd\u8f6c\u53d8\u3002.<\/li>\n<\/ul>\n\n\n\n

            \u5e95\u7ebf\uff1a
            Gemini 3 \u662f\u4e00\u4ee3\u4ea7\u54c1\u3002Gemini 3 Pro \u662f\u60a8\u5b9e\u9645\u7528\u4e8e\u6784\u5efa\u3001\u7f16\u7801\u548c\u521b\u5efa\u7684\u7248\u672c\u3002.<\/strong><\/p>\n\n\n\n

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

            If you\u2019re wondering how Google\u2019s new Gemini 3 vs Gemini 3 Pro compares, here\u2019s the short answer: Gemini 3 is the overall generation name for Google\u2019s latest AI models, while Gemini 3 Pro is the primary, developer-ready version designed for professional and enterprise use. In other words: Gemini is the family, Gemini Pro is the […]<\/p>","protected":false},"author":1,"featured_media":5187,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_seopress_robots_primary_cat":"","_seopress_titles_title":"%%post_title%%","_seopress_titles_desc":"Discover the difference between Gemini 3 and Gemini 3 Pro\u2014Google\u2019s 2025 next-generation AI models. Compare features, Deep Think mode, context limits, and pricing tiers to determine which version fits your workflow best.","_seopress_robots_index":"","footnotes":""},"categories":[7],"tags":[],"class_list":["post-5180","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-chat"],"_links":{"self":[{"href":"https:\/\/wp.glbgpt.com\/zh\/wp-json\/wp\/v2\/posts\/5180","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.glbgpt.com\/zh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wp.glbgpt.com\/zh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/zh\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/zh\/wp-json\/wp\/v2\/comments?post=5180"}],"version-history":[{"count":5,"href":"https:\/\/wp.glbgpt.com\/zh\/wp-json\/wp\/v2\/posts\/5180\/revisions"}],"predecessor-version":[{"id":14822,"href":"https:\/\/wp.glbgpt.com\/zh\/wp-json\/wp\/v2\/posts\/5180\/revisions\/14822"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/zh\/wp-json\/wp\/v2\/media\/5187"}],"wp:attachment":[{"href":"https:\/\/wp.glbgpt.com\/zh\/wp-json\/wp\/v2\/media?parent=5180"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.glbgpt.com\/zh\/wp-json\/wp\/v2\/categories?post=5180"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.glbgpt.com\/zh\/wp-json\/wp\/v2\/tags?post=5180"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}