{"id":52286,"date":"2026-11-06T10:06:42","date_gmt":"2026-11-06T02:06:42","guid":{"rendered":"https:\/\/istarry.com.cn\/ps\/?p=52286"},"modified":"2026-11-06T10:07:58","modified_gmt":"2026-11-06T02:07:58","slug":"gpt-image-2-6-vs-2-5-comparison-guide","status":"publish","type":"post","link":"https:\/\/istarry.com.cn\/ps\/gpt-image-2-6-vs-2-5-comparison-guide\/","title":{"rendered":"GPT Image 2.6 \u548c 2.5 \u600e\u4e48\u9009\uff1f\u53c2\u6570\u3001\u901f\u5ea6\u3001\u753b\u8d28\u3001\u4ef7\u683c\u9010\u9879\u5bf9\u6bd4"},"content":{"rendered":"\n

OpenAI \u5728 2026 \u5e74 11 \u6708 4 \u65e5\u53d1\u5e03 Images 2.6\uff0c\u8ddd\u79bb 9 \u6708 8 \u65e5\u7684 Images 2.5 \u53ea\u9694\u4e86 57 \u5929\u3002\u672c\u7bc7\u5bf9\u7167 OpenAI \u535a\u5ba2\u3001API \u6587\u6863\u3001\u4ef7\u683c\u9875\uff0c\u4ee5\u53ca Arena\u3001Kingy \u7b49\u7b2c\u4e09\u65b9\u6570\u636e\uff0c\u4ece\u53c2\u6570\u3001\u901f\u5ea6\u3001\u753b\u8d28\u3001\u4ef7\u683c<\/strong>\u56db\u5757\u9010\u9879\u6bd4\u8f83 GPT Image 2.6 \u548c 2.5<\/strong> \u7684\u5dee\u5f02\uff0c\u7ed9\u51fa\u6309\u9700\u6c42\u600e\u4e48\u9009\u7684\u5efa\u8bae\uff0c\u5e76\u914d\u5957 PS \u63d2\u4ef6 StartAI GPT \u751f\u56fe\u5b9e\u64cd\u6559\u7a0b\uff0c\u8bb2\u89e3\u5728\u672c\u5730\u5de5\u4f5c\u6d41\u91cc\u5207\u6362 2.5\/2.6\u3001\u8c03 quality \u4e0e complexity \u7684\u5177\u4f53\u505a\u6cd5\u3002<\/p>\n\n\n\n

\u8bf4\u660e\u4e09\u70b9\uff1a\u8d44\u6599\u67e5\u8be2\u65e5\u671f\u662f 2026 \u5e74 11 \u6708 5 \u65e5\uff1b2.6 \u521a\u53d1\u5e03\u4e00\u5929\uff0c\u5f88\u591a\u6570\u636e\u8fd8\u4f1a\u53d8\uff1b\u6587\u4e2d\u5f15\u7528\u7684\u7b2c\u4e09\u65b9\u5c0f\u6837\u672c\u6d4b\u8bd5\uff0c\u53ea\u80fd\u5f53\u4f5c\u4fe1\u53f7\uff0c\u4e0d\u662f\u5b9a\u8bba\u3002<\/p>\n\n\n\n

\u4e00\u3001\u5148\u8bf4\u7ed3\u8bba\uff1aGPT Image 2.6 \u548c 2.5 \u600e\u4e48\u9009<\/h2>\n\n\n\n

1\u3001\u8981 GIF \u52a8\u56fe\u6216 SVG \u77e2\u91cf\u56fe<\/strong>\uff1a\u7528 2.6\u3002\u8fd9\u4e24\u79cd\u8f93\u51fa\u683c\u5f0f\u662f 2.6 \u65b0\u589e\u7684\uff0c2.5 \u7684 API \u91cc\u6ca1\u6709\u3002<\/p>\n\n\n\n

2\u3001\u8981\u5feb\u901f\u6765\u56de\u6539\u56fe\uff1a\u53ef\u4ee5\u5148\u8bd5 2.6\u3002Arena \u6d4b\u5230\u7684\u4e2d\u4f4d\u51fa\u56fe\u65f6\u95f4\uff0cSunburst \u4ece 36.9 \u79d2\u964d\u5230 19.4 \u79d2\uff0cFlare \u4ece 21.7 \u79d2\u964d\u5230 13.4 \u79d2\u3002<\/p>\n\n\n\n

3\u3001\u53ea\u770b\u753b\u8d28\uff1a\u76ee\u524d\u6ca1\u6709\u7b2c\u4e09\u65b9\u6570\u636e\u663e\u793a 2.6 \u8d85\u8fc7 2.5\u3002Arena \u6587\u751f\u56fe\u699c\u4e0a\uff0c2.5 Sunburst \u662f 1427 \u5206\uff0c2.6 Sunburst\uff08Medium\uff09\u662f 1409 \u5206\u3002<\/p>\n\n\n\n

4\u3001\u5927\u91cf\u51fa\u56fe\u3001\u5728\u4e4e\u6210\u672c\uff1a\u53ef\u4ee5\u5148\u7559\u5728 2.5\u3002\u4ef7\u683c\u9875\u4e0a 2.6 \u6ca1\u6709 Batch \u4ef7\u683c\uff1btoken \u5355\u4ef7\u4e24\u4ee3\u4e00\u6837\uff0c\u4f46\u6709\u4e00\u7ec4\u5c0f\u6837\u672c\u6d4b\u8bd5\u91cc\uff0c2.6 \u6bcf\u5f20\u56fe\u7528\u7684\u8f93\u51fa token \u7ea6\u662f 2.5 \u7684 3 \u500d\uff0c\u8fd9\u662f\u4e00\u4e2a\u503c\u5f97\u81ea\u5df1\u6838\u7b97\u7684\u4fe1\u53f7\u3002<\/p>\n\n\n\n

5\u3001\u8981 4K \u5927\u56fe\uff1a2.5 \u7684\u6587\u6863\u5199\u660e\u5355\u8fb9\u53ef\u5230 3840 \u50cf\u7d20\uff0c2.6 \u7684\u6587\u6863\u6ca1\u5199\uff0c\u5148\u6309\u5f85\u786e\u8ba4\u5904\u7406\u3002<\/p>\n\n\n\n

6\u3001\u8fd8\u662f\u62ff\u4e0d\u51c6\uff1a\u7528\u4f60\u81ea\u5df1\u771f\u5b9e\u7684\u63d0\u793a\u8bcd\uff0c\u4e24\u4e2a\u7248\u672c\u5404\u8dd1\u51e0\u6b21\u518d\u5b9a\u3002<\/p>\n\n\n\n

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

\u4e8c\u3001\u53d1\u5e03\u65f6\u95f4\u7ebf\u4e0e\u6838\u5fc3\u53d8\u5316<\/h2>\n\n\n\n

1\u3001GPT Image 2.5\uff082026 \u5e74 9 \u6708 8 \u65e5\uff09<\/strong><\/p>\n\n\n\n

ChatGPT \u91cc\u53eb Images 2.5\uff1bAPI \u91cc\u5206 gpt-image-2.5-flare<\/strong> \u548c gpt-image-2.5-sunburst<\/strong>\uff0c\u5404\u5e26\u4e00\u4e2a\u65e5\u671f\u5feb\u7167\uff08-2026-09-08\uff09\u3002\u5b98\u65b9\u8bf4\u6cd5\uff1a\u7ec6\u8282\u66f4\u9510\u5229\u3001\u5149\u7ebf\u66f4\u81ea\u7136\u3001\u53c2\u8003\u56fe\u4e3b\u4f53\u4fdd\u7559\u66f4\u597d\u3001\u591a\u8f6e\u7f16\u8f91\u66f4\u53ef\u9760\uff1b\u5bf9\u6bd4 Images 2.0\uff0c\u5ef6\u8fdf\u964d\u4f4e\u53ef\u8fbe 50%\u3002<\/p>\n\n\n\n

2\u3001GPT Image 2.6\uff082026 \u5e74 11 \u6708 4 \u65e5\uff09<\/strong><\/p>\n\n\n\n

ChatGPT\u3001Codex\u3001API \u540c\u6b65\u4e0a\u7ebf\uff0cChatGPT \u6240\u6709\u8ba2\u9605\u6863\u4f4d\u90fd\u80fd\u7528\u3002API \u540c\u6837\u5206 gpt-image-2.6-flare<\/strong> \u548c gpt-image-2.6-sunburst<\/strong>\u3002\u5b98\u65b9\u8bf4\u6cd5\uff1a\u51fa\u56fe\u6bd4\u4e4b\u524d\u5feb 50%\uff1bFlare \u5728 low \u8d28\u91cf\u4e0b\u7ea6 6 \u79d2\u4e00\u5f20\uff1bSunburst \u5728 medium \u548c high \u8d28\u91cf\u4e0b\u591a\u8f6e\u7f16\u8f91\u4e00\u81f4\u6027\u66f4\u9ad8\uff1bFlare \u505a\u6d77\u62a5\u3001\u5546\u54c1\u56fe\u8fd9\u7c7b\u5546\u4e1a\u89c6\u89c9\u65f6\u6392\u7248\u66f4\u597d\u3002<\/p>\n\n\n\n

\u65b0\u589e\u529f\u80fd\uff1aGIF \u52a8\u56fe\u3001API \u91cc\u7684 markup \u5708\u9009\u6539\u56fe\u3001SVG \u5bfc\u51fa\u3001complexity \u53c2\u6570<\/strong>\u3002OpenAI \u535a\u5ba2\u63d0\u5230\uff0cChatGPT\u3001Codex \u548c API \u73b0\u5728\u6bcf\u5468\u751f\u6210 40 \u4ebf\u5f20\u56fe\u3002<\/p>\n\n\n\n

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

\u4e09\u3001\u53c2\u6570\u5bf9\u6bd4<\/h2>\n\n\n\n
\u9879\u76ee<\/th>GPT Image 2.5<\/th>GPT Image 2.6<\/th><\/tr><\/thead>
API \u6a21\u578b<\/td>gpt-image-2.5-flare \/ -sunburst<\/td>gpt-image-2.6-flare \/ -sunburst<\/td><\/tr>
\u5feb\u7167<\/td>\u6709\u5e26\u65e5\u671f\u7684\u5feb\u7167\uff08-2026-09-08\uff09<\/td>\u6a21\u578b\u9875\u53ea\u5217\u4e0d\u5e26\u65e5\u671f\u7684\u540d\u5b57<\/td><\/tr>
quality<\/td>auto \/ low \/ medium \/ high \/ xhigh \/ max<\/td>\u540c\u5de6<\/td><\/tr>
complexity<\/td>\u6ca1\u6709\u8fd9\u4e2a\u53c2\u6570<\/td>\u65b0\u589e low \/medium\/high\uff0c\u4e0d\u586b\u9ed8\u8ba4 high<\/td><\/tr>
\u8f93\u51fa\u683c\u5f0f<\/td>png \/ jpeg \/ webp<\/td>\u53e6\u52a0 svg\u3001gif\uff08\u53ea\u9650\u751f\u6210\u63a5\u53e3\uff09<\/td><\/tr>
\u900f\u660e\u80cc\u666f<\/td>png \/ webp<\/td>png \/webp\uff0cSVG \u4e5f\u652f\u6301<\/td><\/tr>
markup \u5708\u9009\u6539\u56fe<\/td>\u6587\u6863\u8bf4\u6cd5\u6709\u77db\u76fe\uff0c\u5f85\u786e\u8ba4<\/td>\u652f\u6301\uff08\u7f16\u8f91\u63a5\u53e3\uff09<\/td><\/tr>
\u5c3a\u5bf8\u4e0a\u9650<\/td>\u5355\u8fb9 3840\uff0c\u603b\u50cf\u7d20\u7ea6 4K\uff1b\u8d85 2560\u00d71440 \u5c5e\u5b9e\u9a8c\u6027<\/td>\u6587\u6863\u6ca1\u5199\uff0c\u5f85\u786e\u8ba4<\/td><\/tr>
Batch \u4ef7\u683c<\/td>\u6709\uff0c\u56fe\u50cf\u8f93\u51fa $15\/1M<\/td>\u4ef7\u683c\u9875\u6ca1\u6709\u5217\u51fa<\/td><\/tr>
token \u5355\u4ef7<\/td>\u6587\u672c\u5165 $5\u3001\u56fe\u50cf\u5165 $8\u3001\u56fe\u50cf\u51fa $30\uff08\u6bcf 1M\uff09<\/td>\u540c\u5de6<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
\"GPT<\/figure>\n\n\n\n

\u4e24\u6863\u6a21\u578b\u7684\u533a\u522b<\/strong><\/p>\n\n\n\n

1\u30012.5\uff1aFlare \u662f\u5c0f\u6a21\u578b\uff0c\u901f\u5ea6\u4f18\u5148\uff0c\u753b\u8d28\u548c GPT Image 2 \u76f8\u5f53\uff1bSunburst \u662f\u57fa\u7840\u6a21\u578b\uff0c\u753b\u8d28\u4f18\u5148\uff0c\u9ad8\u4e8e GPT Image 2\u3002<\/p>\n\n\n\n

2\u30012.6\uff1aFlare \u9002\u5408\u901f\u5ea6\u8981\u6c42\u9ad8\u7684\u573a\u666f\uff1bSunburst \u9002\u5408\u9700\u8981\u66f4\u591a\u7ec6\u8282\u6216\u7cbe\u786e\u7f16\u8f91\u7684\u573a\u666f\u3002<\/p>\n\n\n\n

3\u3001\u5b98\u65b9\u8fc1\u79fb\u5efa\u8bae\u540c\u6863\u5bf9\u540c\u6863\uff1a\u539f\u6765\u7528 2.5 Flare \u7684\uff0c\u5148\u8bd5 2.6 Flare\uff1b\u539f\u6765\u7528 2.5 Sunburst \u7684\uff0c\u5148\u8bd5 2.6 Sunburst\u3002<\/p>\n\n\n\n

complexity \u548c quality \u7684\u533a\u522b<\/strong><\/p>\n\n\n\n

quality \u7ba1\u753b\u9762\u7ec6\u8282\uff0c\u6bd4\u5982\u7eb9\u7406\u548c\u5c0f\u5b57\uff1bcomplexity \u7ba1\u51fa\u56fe\u524d\u6a21\u578b\u89c4\u5212\u591a\u5c11\uff0c\u53ef\u9009 low\u3001medium\u3001high\uff0c\u4e0d\u586b\u65f6\u9ed8\u8ba4 high\u3002\u6362\u80cc\u666f\u3001\u6539\u4e00\u5757\u62db\u724c\u8fd9\u7c7b\u5c40\u90e8\u4fee\u6539\u7528\u4f4e\u6863\uff1b\u6587\u5b57\u5bc6\u96c6\u3001\u6392\u7248\u590d\u6742\u3001\u7269\u4f53\u5173\u7cfb\u591a\u7684\u56fe\u7528\u9ad8\u6863\u3002complexity \u8d8a\u9ad8\uff0c\u5ef6\u8fdf\u53ef\u80fd\u8d8a\u957f\uff0c\u8fd8\u53ef\u80fd\u5e26\u6765\u4e0d\u60f3\u8981\u7684\u6539\u52a8\u3002\u5b98\u65b9\u5efa\u8bae\u591a\u6570\u7f16\u8f91\u4efb\u52a1\u7528 low complexity\uff0c\u518d\u6309\u9700\u8981\u9009 quality\uff1b\u5bf9\u6bd4\u65f6\u628a quality \u56fa\u5b9a\u4e0d\u52a8\uff0c\u4e00\u6b21\u53ea\u6539\u4e00\u4e2a\u53c2\u6570\u3002<\/p>\n\n\n\n

GIF \u548c SVG<\/strong><\/p>\n\n\n\n

1\u3001SVG\uff1a\u751f\u6210\u63a5\u53e3\u91cc\u628a output_format \u8bbe\u6210 svg\uff0cn \u53ea\u80fd\u662f 1\uff0c\u4e0d\u652f\u6301\u6d41\u5f0f\u8f93\u51fa\u548c\u538b\u7f29\u3002\u7f16\u8f91\u63a5\u53e3\u4e0d\u80fd\u8f93\u51fa SVG\uff0cSVG \u4e5f\u4e0d\u80fd\u4f5c\u4e3a\u7f16\u8f91\u7684\u8f93\u5165\u56fe\u3002API \u5148\u751f\u6210\u4e00\u5f20\u53c2\u8003\u56fe\u518d\u8f6c SVG\uff0cquality \u63a7\u5236\u90a3\u5f20\u53c2\u8003\u56fe\uff1b\u8f93\u51fa\u7684 SVG \u53ea\u542b\u9759\u6001\u77e2\u91cf\u5185\u5bb9\uff0c\u53ef\u8bbe\u900f\u660e\u80cc\u666f\u3002<\/p>\n\n\n\n

2\u3001GIF\uff1a\u751f\u6210\u63a5\u53e3\u91cc\u628a output_format \u8bbe\u6210 gif\u3002frame_count \u63a7\u5236\u5e27\u6570\uff0c\u8303\u56f4 2 \u5230 64\uff0c\u9ed8\u8ba4 9\uff1bframe_duration_ms \u63a7\u5236\u6bcf\u5e27\u65f6\u957f\uff0c\u8303\u56f4 20 \u5230 2000 \u6beb\u79d2\uff0c\u9ed8\u8ba4 200\u3002\u7f16\u8f91\u63a5\u53e3\u4e0d\u80fd\u8f93\u51fa GIF\u3002\u5b98\u65b9\u793a\u4f8b\u662f Sunburst\u3001512\u00d7512\u3001high \u8d28\u91cf\u30019 \u5e27 \u00d7 200 \u6beb\u79d2\u3002\u60f3\u8981\u5faa\u73af\u987a\u6ed1\uff0c\u63d0\u793a\u8bcd\u91cc\u8981\u5199\u6e05\u4e3b\u4f53\u7ed3\u675f\u65f6\u56de\u5230\u8d77\u59cb\u59ff\u52bf\u3001\u955c\u5934\u52a8\u4e0d\u52a8\u3002<\/p>\n\n\n\n

markup \u5708\u9009\u6539\u56fe\uff08\u5f85\u786e\u8ba4\uff09<\/strong><\/p>\n\n\n\n

\u7f16\u8f91\u63a5\u53e3\u91cc\u9664\u4e86\u539f\u56fe\uff0c\u518d\u4e0a\u4f20\u4e00\u5f20\u548c\u9996\u5f20\u8f93\u5165\u56fe\u540c\u5c3a\u5bf8\u7684\u900f\u660e PNG\uff0c\u5728\u4e0a\u9762\u5708\u51fa\u8981\u6539\u7684\u5730\u65b9\uff0c\u518d\u7528\u63d0\u793a\u8bcd\u8bf4\u660e\u6539\u6210\u4ec0\u4e48\u3002\u5708\u9009\u53ea\u4f5c\u7528\u4e8e\u9996\u5f20\u8f93\u5165\u56fe\uff0c\u4e0d\u80fd\u548c mask \u540c\u65f6\u7528\u30022.5 \u80fd\u4e0d\u80fd\u7528\uff0c\u535a\u5ba2\u548c\u51fa\u56fe\u6307\u5357\u8bf4\u6cd5\u4e0d\u4e00\u81f4\uff0c\u4ee5\u5b9e\u9645\u8c03\u7528\u7ed3\u679c\u4e3a\u51c6\u3002<\/p>\n\n\n\n

\u56db\u3001\u901f\u5ea6\u5bf9\u6bd4\uff1a\u5b98\u65b9\u8bf4\u6cd5\u548c\u7b2c\u4e09\u65b9\u6570\u636e\u5bf9\u4e0d\u4e0a<\/h2>\n\n\n\n

\u5b98\u65b9\u8bf4\u51fa\u56fe\u5feb 50%\u3001Flare \u5728 low \u8d28\u91cf\u4e0b\u7ea6 6 \u79d2\uff0c\u4f46\u6ca1\u5199\u662f\u8ddf\u54ea\u4e2a\u7248\u672c\u3001\u54ea\u4e2a\u6863\u4f4d\u6bd4\uff0c\u8fd9\u4e00\u70b9\u5f85\u786e\u8ba4\u3002<\/p>\n\n\n\n

Arena\uff0811 \u6708 4 \u65e5\u53d1\u5e03\uff0c\u4ece\u53d1\u8bf7\u6c42\u5230\u62ff\u5230\u6210\u56fe\u7684\u4e2d\u4f4d\u65f6\u95f4\uff09\uff1aSunburst \u4ece 36.9 \u79d2\u964d\u5230 19.4 \u79d2\uff0c\u7ea6\u5feb 1.9 \u500d\uff1bFlare \u4ece 21.7 \u79d2\u964d\u5230 13.4 \u79d2\uff0c\u7ea6\u5feb 1.6 \u500d\u3002<\/p>\n\n\n\n

Design Arena\uff08\u8f6c\u8ff0\uff09\uff1aFlare \u7ea6\u5feb 2.6 \u500d\uff0cSunburst \u7ea6\u5feb 1.15 \u500d\u3002<\/p>\n\n\n\n

Kingy \u5c0f\u6837\u672c\uff08Sunburst\u3001medium \u8d28\u91cf\u3001\u6bcf\u4e2a\u8bf7\u6c42\u53ea\u8dd1 1 \u6b21\uff09\uff1a\u4e09\u5f20\u9759\u6001\u56fe\uff0c2.5 \u5408\u8ba1 39.8 \u79d2\uff0c2.6 \u5408\u8ba1 48.7 \u79d2\uff0c\u8fd9\u6b21 2.6 \u6bcf\u4e2a\u8bf7\u6c42\u90fd\u66f4\u6162\uff1b2.6 \u7684 complexity \u7528\u7684\u662f\u9ed8\u8ba4 high\uff0c\u4e24\u8fb9\u8ba1\u7b97\u91cf\u6ca1\u6709\u5bf9\u9f50\u3002<\/p>\n\n\n\n

\u4e3a\u4ec0\u4e48\u5dee\u8fd9\u4e48\u591a\uff1f\u53e3\u5f84\u4e0d\u540c\uff1a\u6709\u7684\u662f\u4e2d\u4f4d\u6570\uff0c\u6709\u7684\u662f\u5355\u6b21\u6570\u636e\uff1b\u8d28\u91cf\u6863\u3001complexity \u4e0d\u4e00\u6837\uff1b\u6392\u961f\u548c\u7f51\u7edc\u4e5f\u4f1a\u5f71\u54cd\u3002\u6bd4\u8f83\u7a33\u59a5\u7684\u7406\u89e3\u662f\uff1aFlare \u63d0\u901f\u7684\u4fe1\u53f7\u6bd4\u8f83\u4e00\u81f4\uff0cSunburst \u63d0\u901f\u591a\u5c11\uff0c\u5404\u5bb6\u6570\u636e\u5dee\u522b\u5f88\u5927<\/strong>\u3002\u5728\u4e4e\u901f\u5ea6\u5c31\u7528\u81ea\u5df1\u7684\u63d0\u793a\u8bcd\u6d4b\uff0c\u540c\u65f6\u8bd5\u8bd5\u628a complexity \u8c03\u4f4e\u3002<\/p>\n\n\n\n

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

\u4e94\u3001\u753b\u8d28\u5bf9\u6bd4\uff1a\u770b\u699c\u5355\u6570\u636e<\/h2>\n\n\n\n

Arena \u6587\u751f\u56fe\u699c\u524d 5 \u540d\uff0811 \u6708 4 \u65e5\u53d1\u5e03\uff09\uff1a<\/p>\n\n\n\n

1\u30012.5 Sunburst\uff0c1427 \u5206\u3002<\/p>\n\n\n\n

2\u30012.6 Sunburst\uff08Medium\uff09\uff0c1409 \u5206\u3002<\/p>\n\n\n\n

3\u30012.5 Flare\uff0c1399 \u5206\u3002<\/p>\n\n\n\n

4\u30012.6 Flare\uff08Medium\uff09\uff0c1384 \u5206\u3002<\/p>\n\n\n\n

5\u3001GPT Image 2\uff08Medium\uff09\uff0c1382 \u5206\u3002<\/p>\n\n\n\n

\u540c\u6863\u7684 2.6 \u5206\u6570\u90fd\u4f4e\u4e8e 2.5\uff0c\u4f46 2.5 \u4e24\u884c\u6ca1\u6807\u8d28\u91cf\u6863\uff0c\u53e3\u5f84\u53ef\u80fd\u4e0d\u5b8c\u5168\u4e00\u6837\u3002\u7f16\u8f91\u699c\u4e0a\uff0c2.6 Sunburst \u6392\u7b2c 3\uff081476 \u5206\uff09\uff0c2.6 Flare \u6392\u7b2c 5\uff081462 \u5206\uff09\u3002<\/p>\n\n\n\n

Artificial Analysis \u7684\u6587\u751f\u56fe\u699c\u548c\u7f16\u8f91\u699c\u90fd\u8fd8\u6ca1\u6709 2.6\uff1b2.5 \u7684\u5206\u6570\u662f\u6587\u751f\u56fe Sunburst 1224\u3001Flare 1208\uff0c\u7f16\u8f91 Sunburst 1199\u3001Flare 1183\u3002<\/p>\n\n\n\n

Kingy \u5c0f\u6837\u672c\u91cc\uff0c\u4e24\u4ee3\u6307\u5b9a\u7684\u6587\u5b57\u90fd\u5199\u5bf9\u4e86\uff0c\u4f46\u4e24\u4ee3\u90fd\u53ef\u80fd\u81ea\u5df1\u52a0\u56fe\u5f62\uff0c\u51fa\u56fe\u540e\u8981\u6838\u5bf9\u3002X \u4e0a\u7684\u7528\u6237\u53cd\u9988\u4e24\u6781\u5206\u5316\uff0c\u90fd\u53ea\u662f\u4e2a\u4eba\u770b\u6cd5\u3002<\/p>\n\n\n\n

\u8981\u6ce8\u610f\uff1a\u73b0\u6709\u6d4b\u8bd5\u90fd\u7528\u82f1\u6587\u63d0\u793a\u8bcd\uff0c\u5e26\u4e2d\u6587\u5b57\u7684\u6d77\u62a5\u3001\u7535\u5546\u56fe\uff0c\u76ee\u524d\u6ca1\u6709\u770b\u5230\u4e24\u4ee3\u7684\u5bf9\u6bd4\u6570\u636e<\/strong>\u3002<\/p>\n\n\n\n

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

\u516d\u3001\u4ef7\u683c\u5bf9\u6bd4\uff1a\u6807\u4ef7\u4e00\u6837\uff0c\u5b9e\u9645\u82b1\u8d39\u4e0d\u4e00\u5b9a\u4e00\u6837<\/h2>\n\n\n\n
\u6a21\u578b<\/th>\u6587\u672c\u8f93\u5165<\/th>\u56fe\u50cf\u8f93\u5165<\/th>\u56fe\u50cf\u8f93\u51fa<\/th>\u7f13\u5b58\u8f93\u5165\uff08\u6587\u672c \/ \u56fe\u50cf\uff09<\/th><\/tr><\/thead>
gpt-image-2.6-sunburst<\/td>$5<\/td>$8<\/td>$30<\/td>$1.25 \/ $2<\/td><\/tr>
gpt-image-2.6-flare<\/td>$5<\/td>$8<\/td>$30<\/td>$1.25 \/ $2<\/td><\/tr>
gpt-image-2.5-sunburst<\/td>$5<\/td>$8<\/td>$30<\/td>$1.25 \/ $2<\/td><\/tr>
gpt-image-2.5-flare<\/td>$5<\/td>$8<\/td>$30<\/td>$1.25 \/ $2<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u4e24\u4ee3\u56db\u4e2a\u6a21\u578b\u7684 token \u5355\u4ef7\u5b8c\u5168\u4e00\u6837\uff0c\u6309 token \u8ba1\u8d39\uff0c\u4e0d\u662f\u6309\u5f20\u8ba1\u8d39\u3002\u4e00\u5f20\u56fe\u82b1\u591a\u5c11\u94b1\uff0c\u53d6\u51b3\u4e8e\u63d0\u793a\u8bcd\u957f\u5ea6\u3001\u8f93\u5165\u56fe\u548c\u8f93\u51fa token \u7684\u591a\u5c11\u3002<\/p>\n\n\n\n

Kingy \u5c0f\u6837\u672c\u91cc\uff0c\u540c\u6837\u7684\u63d0\u793a\u8bcd\u3001\u5c3a\u5bf8\u548c quality\uff0c2.6 \u6bcf\u5f20\u56fe\u7528\u7684\u8f93\u51fa token \u90fd\u7ea6\u662f 2.5 \u7684 3.3 \u500d\uff1a<\/p>\n\n\n\n

\u8bf7\u6c42\uff08Sunburst\uff0cmedium\uff09<\/th>2.5 \u8f93\u51fa token<\/th>2.6 \u8f93\u51fa token<\/th>2.5 \u4f30\u7b97\u82b1\u8d39<\/th>2.6 \u4f30\u7b97\u82b1\u8d39<\/th><\/tr><\/thead>
\u7f29\u7565\u56fe<\/td>280<\/td>924<\/td>$0.009<\/td>$0.028<\/td><\/tr>
\u5546\u54c1\u56fe<\/td>439<\/td>1,449<\/td>$0.014<\/td>$0.044<\/td><\/tr>
\u6539\u56fe<\/td>439<\/td>1,449<\/td>$0.022<\/td>$0.052<\/td><\/tr>
\u4e09\u5f20\u5408\u8ba1<\/td>\u2014<\/td>\u2014<\/td>$0.045<\/td>$0.125<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u8fd9\u7ec4\u6570\u636e\u53ea\u6709 1 \u6b21\u8bf7\u6c42\uff0c2.6 \u7528\u7684\u662f\u9ed8\u8ba4 high complexity\uff0c\u53ea\u80fd\u7b97\u4fe1\u53f7\u30022.6 \u7684 GIF \u90a3\u4e00\u5f20\u7528\u4e86 1,835 \u4e2a\u8f93\u51fa token\uff0c\u4f30\u7b97\u7ea6 $0.056\u3002\u53e6\u5916 2.5 \u6709 Batch \u4ef7\uff08\u56fe\u50cf\u8f93\u51fa $15\/1M\uff09\uff0c2.6 \u76ee\u524d\u6ca1\u6709\u5217\u51fa\u3002<\/p>\n\n\n\n

\u5efa\u8bae\u6309\u5b98\u65b9\u8fc1\u79fb\u6307\u5357\u7684\u601d\u8def\u7b97\u8d26\uff1a\u4e0d\u770b\u5355\u5f20\u56fe\u591a\u5c11\u94b1\uff0c\u770b\u6bcf\u4e00\u5f20\u80fd\u7528\u7684\u56fe\u82b1\u4e86\u591a\u5c11\u94b1<\/strong>\uff0c\u628a\u5931\u8d25\u548c\u91cd\u8bd5\u4e5f\u7b97\u8fdb\u53bb\u3002<\/p>\n\n\n\n

\u4e03\u3001\u6309\u9700\u6c42\u600e\u4e48\u9009<\/h2>\n\n\n\n

\u9002\u5408\u6362\u5230 2.6 \u7684\u60c5\u51b5<\/strong><\/p>\n\n\n\n

1\u3001\u8981\u505a GIF\uff1a\u8868\u60c5\u5305\u3001\u54c1\u724c\u5409\u7965\u7269\u52a8\u56fe\u3001\u89c6\u9891\u5f00\u62cd\u524d\u7684\u5206\u955c\u9884\u89c8\u3002\u5faa\u73af\u662f\u5426\u987a\u6ed1\u8981\u81ea\u5df1\u9010\u5e27\u68c0\u67e5\u3002<\/p>\n\n\n\n

2\u3001\u8981\u505a SVG\uff1alogo\u3001\u56fe\u6807\u3001\u63d2\u753b\uff0c\u4e4b\u540e\u8fd8\u8981\u6539\u8def\u5f84\u3001\u6539\u989c\u8272\u3001\u653e\u5927\u5370\u5237\u3002<\/p>\n\n\n\n

3\u3001\u4ea4\u4e92\u5f0f\u6539\u56fe\u3001\u5728\u4e4e\u7b49\u5f85\u65f6\u95f4\uff1a\u5148\u8bd5 2.6 Flare\uff0c\u7f16\u8f91\u4efb\u52a1\u628a complexity \u8c03\u4f4e\u3002<\/p>\n\n\n\n

4\u3001ChatGPT \u7528\u6237\uff1a\u7ecf\u5e38\u8981\u7528\u540c\u4e00\u4e2a\u4eba\u7269\u3001\u5ba0\u7269\u6216\u89d2\u8272\u51fa\u56fe\u7684\uff0c\u53ef\u4ee5\u7528 2.6 \u7684\u53c2\u8003\u56fe\u4fdd\u5b58\u529f\u80fd\u3002<\/p>\n\n\n\n

\u53ef\u4ee5\u5148\u7559\u5728 2.5 \u7684\u60c5\u51b5<\/strong><\/p>\n\n\n\n

1\u3001\u7528 Batch \u6298\u6263\u8dd1\u5927\u91cf\u4efb\u52a1\uff1a2.6 \u6682\u65f6\u6ca1\u6709 Batch \u4ef7\u683c\u3002<\/p>\n\n\n\n

2\u3001\u9700\u8981 2K\u30014K \u5927\u56fe\uff1a2.6 \u7684\u5206\u8fa8\u7387\u4e0a\u9650\u8fd8\u6ca1\u5199\u660e\u3002<\/p>\n\n\n\n

3\u3001\u5df2\u6709\u7a33\u5b9a\u7684\u751f\u4ea7\u6d41\u7a0b\uff1a2.5 \u6709\u5e26\u65e5\u671f\u7684\u5feb\u7167\uff0c\u53ef\u4ee5\u9501\u5b9a\u7248\u672c\uff1b2.6 \u76ee\u524d\u53ea\u6709\u4e0d\u5e26\u65e5\u671f\u7684\u540d\u5b57\uff0c\u540e\u53f0\u66f4\u65b0\u65f6\u7ed3\u679c\u53ef\u80fd\u8ddf\u7740\u53d8\u3002<\/p>\n\n\n\n

4\u3001\u53ea\u770b\u753b\u8d28\uff1a\u76ee\u524d\u699c\u5355\u4e0a 2.5 \u7684\u5206\u6570\u4e0d\u4f4e\u4e8e 2.6\u3002<\/p>\n\n\n\n

\u4e24\u4e2a\u7248\u672c\u90fd\u8981\u6d4b\u7684\u60c5\u51b5<\/strong><\/p>\n\n\n\n

1\u3001\u5e26\u4e2d\u6587\u5b57\u7684\u6d77\u62a5\u3001\u7535\u5546\u56fe\uff1a\u73b0\u6709\u5bf9\u6bd4\u6570\u636e\u90fd\u662f\u82f1\u6587\u63d0\u793a\u8bcd\uff0c\u4e2d\u6587\u5b57\u8868\u73b0\u8981\u81ea\u5df1\u6d4b\u3002<\/p>\n\n\n\n

2\u3001\u591a\u8f6e\u7f16\u8f91\u3001\u8981\u4fdd\u6301\u5546\u54c1\u6216\u4eba\u7269\u4e00\u81f4\uff1a\u5b98\u65b9\u8bf4 2.6 Sunburst \u66f4\u597d\uff0c\u4f46\u8fd8\u6ca1\u6709\u7b2c\u4e09\u65b9\u7684\u7cfb\u7edf\u6570\u636e\u3002<\/p>\n\n\n\n

\u516b\u3001GPT \u751f\u56fe\u5b9e\u64cd\u6559\u7a0b\uff1a\u5728 PS \u91cc\u5207\u6362 2.5 \u548c 2.6<\/h2>\n\n\n\n

\u9002\u7528\u573a\u666f\uff1a\u5728 PS \u5185\u76f4\u63a5\u8c03\u7528 GPT Image 2.5\/2.6\uff0c\u5b8c\u6210\u5c40\u90e8\u6539\u56fe\u3001GIF \u5e8f\u5217\u5e27\u3001SVG \u56fe\u6807\u5236\u4f5c\uff0c\u4e0d\u7528\u5207\u5230\u5916\u90e8\u5e73\u53f0\u3002<\/p>\n\n\n\n

\u6b65\u9aa41\uff1a\u65b0\u5efa\u753b\u5e03\u5e76\u542f\u52a8StartAI\u63d2\u4ef6<\/h3>\n\n\n\n

\u6253\u5f00Photoshop\uff0c\u6839\u636e\u5bf9\u5e94\u7535\u5546\u5e73\u53f0\u8981\u6c42\u65b0\u5efa\u4e3b\u56fe\u753b\u5e03\uff08\u5e38\u7528\u89c4\u683c\u4e3a800\u00d7800px\u6b63\u65b9\u5f62\uff09\u3002<\/p>\n\n\n\n

\u901a\u8fc7\u9876\u90e8\u83dc\u5355\u680f\u3010\u7a97\u53e3\u3011\u2192\u3010\u6269\u5c55\u529f\u80fd\u3011\u8c03\u51faStartAI\u63d2\u4ef6\u9762\u677f\uff0c\u5b8c\u6210\u767b\u5f55\u540e\u5373\u53ef\u8fdb\u5165\u529f\u80fd\u9009\u62e9\u754c\u9762\u3002<\/p>\n\n\n\n

\n

\u7acb\u5373\u4f7f\u7528StartAI\uff1a\u3010\u70b9\u6b64\u4e00\u952e\u4e0b\u8f7dStartAI\u63d2\u4ef6\u3011<\/mark><\/a><\/strong>\uff1b<\/p>\n\n\n\n

\u9080\u8bf7\u7801\uff1a\u3010mKU7jz<\/strong>\u3011\uff0c\u7acb\u9886100\u79ef\u5206\uff0c\u57fa\u7840\u529f\u80fd\u514d\u8d39\u7528\uff01<\/p>\n<\/blockquote>\n\n\n\n

\u6b65\u9aa42\uff1a\u9009\u62e9GPT Image 2.5\uff0c\u8f93\u5165\u4e3b\u56fe\u63cf\u8ff0\u63d0\u793a\u8bcd<\/h3>\n\n\n\n

\u5728\u63d2\u4ef6\u529f\u80fd\u5217\u8868\u4e2d\u627e\u5230\u5e76\u9009\u62e9\u3010GPT\u751f\u56fe\u3011\u529f\u80fd\uff0c\u4e0a\u4f20\u56fe\u7247\u3002<\/p>\n\n\n\n

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

\u5728\u3010\u751f\u56fe\u9700\u6c42\u3011\u8f93\u5165\u6846\u4e2d\u8f93\u5165\u6307\u4ee4\uff0c\u8bbe\u7f6e\u751f\u56fe\u6a21\u578b\u3001\u5206\u8fa8\u7387\u4ee5\u53ca\u5c3a\u5bf8\u6bd4\u4f8b\u3002<\/p>\n\n\n\n

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

\u6b65\u9aa43\uff1a\u751f\u6210\u7ed3\u679c\u5e76\u7cbe\u7ec6\u5316\u5fae\u8c03<\/h3>\n\n\n\n

\u8bbe\u7f6e\u597d\u753b\u5e03\u5206\u8fa8\u7387\u3001\u751f\u6210\u6570\u91cf\u540e\uff0c\u70b9\u51fb\u3010\u7acb\u5373\u751f\u6210\u3011\uff0c\u5373\u53ef\u5f97\u5230\u751f\u6210\u7ed3\u679c\u3002\u751f\u6210\u7684\u4e3b\u56fe\u4f1a\u4ee5\u72ec\u7acb\u56fe\u5c42\u7684\u5f62\u5f0f\u540c\u6b65\u5230PS\u753b\u5e03\u4e2d\uff0c\u539f\u59cb\u7d20\u6750\u4e0e\u56fe\u5c42\u4e0d\u4f1a\u88ab\u4fee\u6539\u3002<\/p>\n\n\n\n

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

\u4e5d\u3001\u600e\u4e48\u81ea\u5df1\u5bf9\u6bd4 2.6 \u548c 2.5<\/h2>\n\n\n\n

1\u3001\u5b58\u4e00\u4efd\u57fa\u7ebf\uff1a\u6311\u51e0\u7ec4\u6709\u4ee3\u8868\u6027\u7684\u63d0\u793a\u8bcd\u3001\u53c2\u8003\u56fe\u548c\u65e7\u6a21\u578b\u8f93\u51fa\uff0c\u96be\u6539\u7684\u56fe\u3001\u8981\u6c42\u7cbe\u786e\u7684\u6587\u5b57\u3001\u5546\u54c1\u5f62\u72b6\u3001\u900f\u660e\u7d20\u6750\u90fd\u8981\u5305\u542b\u8fdb\u53bb\u3002<\/p>\n\n\n\n

2\u3001\u540c\u6863\u5bf9\u540c\u6863\uff1a2.5 Flare \u5bf9 2.6 Flare\uff0c2.5 Sunburst \u5bf9 2.6 Sunburst\u3002<\/p>\n\n\n\n

3\u3001\u9996\u8f6e\u5bf9\u6bd4\u4fdd\u6301\u4e00\u81f4\uff1a\u63d0\u793a\u8bcd\u3001\u53c2\u8003\u56fe\u3001\u5c3a\u5bf8\u3001quality\u3001\u8f93\u51fa\u683c\u5f0f\u90fd\u4e00\u6837\uff0ccomplexity \u5148\u7528\u9ed8\u8ba4\u503c\u3002<\/p>\n\n\n\n

4\u3001\u9010\u9879\u68c0\u67e5\uff1a\u6587\u5b57\u3001\u6392\u7248\u3001\u4eba\u7269\u3001\u6539\u56fe\u65f6\u8be5\u4fdd\u7559\u7684\u7ec6\u8282\uff1b\u591a\u8f6e\u7f16\u8f91\u4e0d\u5149\u770b\u7ed3\u679c\u56fe\uff0c\u6bcf\u4e00\u6b65\u90fd\u8981\u770b\u3002<\/p>\n\n\n\n

5\u3001\u4e00\u6b21\u53ea\u6539\u4e00\u4e2a\u8bbe\u7f6e\uff1a\u8981\u4e48\u6539 quality\uff0c\u8981\u4e48\u6539 complexity\uff1b\u6bcf\u4e2a\u8bf7\u6c42\u91cd\u590d\u51e0\u6b21\uff0c\u8bb0\u5f55\u8fbe\u6807\u6b21\u6570\u4e0e\u751f\u6210\u65f6\u95f4\u3002<\/p>\n\n\n\n

6\u3001\u5c0f\u8303\u56f4\u4e0a\u7ebf\uff1a\u65b0\u6a21\u578b\u8fbe\u6807\u540e\u5148\u5207\u4e00\u5c0f\u90e8\u5206\u4efb\u52a1\uff0c\u8ddf\u8e2a\u5931\u8d25\u3001\u91cd\u8bd5\u548c\u6bcf\u5f20\u53ef\u7528\u56fe\u6210\u672c\uff0c\u518d\u6269\u5927\u3002<\/p>\n\n\n\n

\u5341\u3001\u5c40\u9650\u548c\u5f85\u786e\u8ba4\u7684\u5730\u65b9<\/h2>\n\n\n\n

1\u3001\u5b98\u65b9\u8bf4\u7684\u5feb 50% \u662f\u8ddf\u54ea\u4e2a\u7248\u672c\u3001\u54ea\u4e2a\u6863\u4f4d\u6bd4\u3002<\/p>\n\n\n\n

2\u30012.6 \u7684\u5206\u8fa8\u7387\u4e0a\u9650\uff0c\u80fd\u4e0d\u80fd\u51fa 4K\u3002<\/p>\n\n\n\n

3\u3001markup \u5708\u9009\u6539\u56fe\uff0c2.5 \u80fd\u4e0d\u80fd\u7528\u3002<\/p>\n\n\n\n

4\u30012.6 \u80fd\u4e0d\u80fd\u8d70 Batch\uff0c\u6709\u6ca1\u6709 Batch \u4ef7\u683c\u3002<\/p>\n\n\n\n

5\u3001complexity \u8c03\u4f4e\u4ee5\u540e\uff0c\u8f93\u51fa token \u548c\u82b1\u8d39\u4f1a\u4e0d\u4f1a\u964d\u3002<\/p>\n\n\n\n

\u672c\u6587\u6ca1\u6709\u81ea\u5df1\u8dd1\u6d4b\u8bd5\uff0c\u6570\u636e\u6765\u81ea\u5b98\u65b9\u6587\u6863\u548c\u7b2c\u4e09\u65b9\uff1b2.6 \u53d1\u5e03\u624d\u4e00\u5929\uff0c\u699c\u5355\u548c\u6d4b\u8bc4\u90fd\u4f1a\u66f4\u65b0\u3002Arena \u699c\u5355\u4e0a 2.5 \u4e24\u884c\u6ca1\u6807\u8d28\u91cf\u6863\uff0c\u548c 2.6 \u7684 Medium \u6863\u53ef\u80fd\u4e0d\u662f\u540c\u4e00\u53e3\u5f84\uff1bKingy \u7684\u6d4b\u8bd5\u6bcf\u4e2a\u8bf7\u6c42\u53ea\u8dd1 1 \u6b21\uff0c\u53ea\u80fd\u5f53\u4fe1\u53f7\u3002<\/p>\n\n\n\n

\u5341\u4e00\u3001\u603b\u7ed3<\/h2>\n\n\n\n

GPT Image 2.6 \u5e26\u6765\u7684\u65b0\u589e\u91cf\u662f GIF\u3001SVG\u3001markup \u5708\u9009\u6539\u56fe\u3001complexity \u53c2\u6570<\/strong>\uff0c\u901f\u5ea6\u63d0\u5347\u7684\u4fe1\u53f7\u5728 Flare \u4e0a\u6bd4\u8f83\u4e00\u81f4\uff0c\u753b\u8d28\u76ee\u524d\u6ca1\u6709\u7b2c\u4e09\u65b9\u6570\u636e\u652f\u6491\u660e\u663e\u8d85\u8d8a 2.5\u3002\u8981\u65b0\u683c\u5f0f\u548c\u5feb\u8fed\u4ee3\u5c31\u4e0a 2.6\uff0c\u8981 Batch \u6298\u6263\u3001\u5927\u5c3a\u5bf8\u548c\u7a33\u5b9a\u7248\u672c\u5c31\u7559\u5728 2.5\u3002\u6700\u7ec8\u9009\u578b\u4e0d\u8981\u53ea\u770b\u699c\u5355\uff0c\u7528\u81ea\u5df1\u771f\u5b9e\u63d0\u793a\u8bcd\u4e24\u4e2a\u7248\u672c\u5404\u8dd1\u4e00\u904d\uff0c\u518d\u51b3\u5b9a\u8fc1\u79fb\u8303\u56f4\u3002<\/p>\n\n\n\n

\n

\u7acb\u5373\u4f7f\u7528StartAI\uff1a\u3010\u70b9\u6b64\u4e00\u952e\u4e0b\u8f7dStartAI\u63d2\u4ef6\u3011<\/mark><\/a><\/strong>\uff1b<\/p>\n\n\n\n

\u9080\u8bf7\u7801\uff1a\u3010mKU7jz<\/strong>\u3011\uff0c\u7acb\u9886100\u79ef\u5206\uff0c\u57fa\u7840\u529f\u80fd\u514d\u8d39\u7528\uff01<\/p>\n<\/blockquote>\n\n\n\n

\n
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