{"id":588,"date":"2026-06-26T11:35:23","date_gmt":"2026-06-26T03:35:23","guid":{"rendered":"https:\/\/www.eshowai.com\/index.php\/2026\/06\/26\/ai-%e5%91%a8%e6%8a%a5-06-22-06-26%e8%b1%86%e5%8c%85-pro-1-5-%e5%85%a8%e7%bd%91%e5%88%b7%e5%b1%8f%e3%80%81%e6%99%ba%e8%b0%b1-glm-5-%e5%86%85%e6%b5%8b%e6%9b%9d%e5%85%89%e3%80%81%e9%98%bf%e9%87%8c\/"},"modified":"2026-07-09T16:44:51","modified_gmt":"2026-07-09T08:44:51","slug":"ai-%e5%91%a8%e6%8a%a5-06-22-06-26%e8%b1%86%e5%8c%85-pro-1-5-%e5%85%a8%e7%bd%91%e5%88%b7%e5%b1%8f%e3%80%81%e6%99%ba%e8%b0%b1-glm-5-%e5%86%85%e6%b5%8b%e6%9b%9d%e5%85%89%e3%80%81%e9%98%bf%e9%87%8c","status":"publish","type":"post","link":"https:\/\/www.eshowai.com\/index.php\/2026\/06\/26\/ai-%e5%91%a8%e6%8a%a5-06-22-06-26%e8%b1%86%e5%8c%85-pro-1-5-%e5%85%a8%e7%bd%91%e5%88%b7%e5%b1%8f%e3%80%81%e6%99%ba%e8%b0%b1-glm-5-%e5%86%85%e6%b5%8b%e6%9b%9d%e5%85%89%e3%80%81%e9%98%bf%e9%87%8c\/","title":{"rendered":"AI \u5468\u62a5 06\/22-06\/26:\u8c46\u5305 Pro 1.5 \u5168\u7f51\u5237\u5c4f\u3001\u667a\u8c31 GLM-5 \u5185\u6d4b\u66dd\u5149\u3001\u963f\u91cc\u901a\u4e49 3.0 \u8def\u7ebf\u56fe"},"content":{"rendered":"<h1>AI \u5468\u62a5 06\/22-06\/26:\u8c46\u5305 Pro 1.5 \u5168\u7f51\u5237\u5c4f\u3001\u667a\u8c31 GLM-5 \u5185\u6d4b\u66dd\u5149\u3001\u963f\u91cc\u901a\u4e49 3.0 \u8def\u7ebf\u56fe<\/h1>\n<p>\u672c\u5468(2026-06-22 ~ 06-26)\u56fd\u4ea7 AI \u4e09\u4ef6\u5927\u4e8b,<strong>\u5168\u7f51\u5237\u5c4f<\/strong>\u3002<\/p>\n<p>\u963f\u4f26\u628a 7 \u5929\u91cc\u503c\u5f97\u770b\u7684\u4e8b\u5168\u634b\u4e86\u4e00\u904d,\u770b\u5b8c\u8fd9\u4e00\u7bc7,\u8fd9\u5468 AI \u5708\u53d1\u751f\u4e86\u4ec0\u4e48\u4f60\u5c31\u95e8\u513f\u6e05\u4e86\u3002<\/p>\n<h2>\u4e00\u3001\u672c\u5468\u5934\u6761 \u2b50<\/h2>\n<h3>1.1 \u5b57\u8282\u8c46\u5305 Pro 1.5 \u6b63\u5f0f\u4e0a\u7ebf(06-24)<\/h3>\n<p><strong>\u5168\u7f51\u70b8\u4e86\u3002<\/strong><\/p>\n<ul>\n<li>\u4ef7\u683c:<strong>\u00a50.3 \/ 1M tokens<\/strong>(\u6bd4 DeepSeek R2 \u00a50.5 \u4fbf\u5b9c 40%)<\/li>\n<li>\u901f\u5ea6:280ms \u8bed\u97f3\u5ef6\u8fdf(\u63a5\u8fd1\u771f\u4eba\u5bf9\u8bdd)<\/li>\n<li>\u80fd\u529b:\u539f\u751f\u591a\u6a21\u6001 + Agent + 1M tokens \u4e0a\u4e0b\u6587<\/li>\n<li>\u5f00\u653e:\u706b\u5c71\u5f15\u64ce\u5bf9\u5916\u5f00\u653e API<\/li>\n<\/ul>\n<p><strong>\u4e3a\u4ec0\u4e48\u91cd\u8981:<\/strong> \u8fd9\u662f\u56fd\u5185\u7b2c\u4e00\u4e2a\u628a&#8221;\u6027\u80fd + \u4ef7\u683c + \u901f\u5ea6&#8221;\u540c\u65f6\u505a\u5230\u4f4d\u7684\u6a21\u578b\u3002<strong>\u4f01\u4e1a\u7528\u8c46\u5305 Pro 1.5,\u7efc\u5408\u6210\u672c\u80fd\u964d 60%\u3002<\/strong><\/p>\n<p>\u963f\u4f26\u6d4b\u8bd5\u611f\u53d7:<\/p>\n<ul>\n<li>\u5199\u4ee3\u7801:\u63a5\u8fd1 Claude 4.5 Sonnet<\/li>\n<li>\u957f\u6587\u6863:128k \u4e0a\u4e0b\u6587,2 \u4e07\u5b57\u79d2\u603b\u7ed3<\/li>\n<li>\u591a\u6a21\u6001:\u80fd\u770b\u56fe\u3001\u80fd\u542c\u8bed\u97f3\u3001\u80fd\u751f\u6210\u89c6\u9891\u811a\u672c<\/li>\n<\/ul>\n<p><strong>\u9002\u5408:<\/strong> \u4e2d\u5c0f\u516c\u53f8\u3001\u81ea\u5a92\u4f53\u3001\u5ba2\u670d\u3002<\/p>\n<p><strong>\u94fe\u63a5:<\/strong> \u706b\u5c71\u5f15\u64ce\u5b98\u7f51\u76f4\u63a5\u641c&#8221;\u8c46\u5305 Pro 1.5&#8243;<\/p>\n<h3>1.2 \u667a\u8c31 GLM-5 \u5185\u6d4b\u66dd\u5149(06-23)<\/h3>\n<p><strong>\u670b\u53cb\u5708\u6700\u706b\u7684\u4e00\u7bc7\u3002<\/strong><\/p>\n<p>\u67d0\u5927 V \u63d0\u524d\u62ff\u5230 GLM-5 \u5185\u6d4b\u53f7,\u76f4\u63a5\u53d1\u4e86 5 \u4e2a\u6d4b\u8bd5\u89c6\u9891\u3002<\/p>\n<p>\u5173\u952e\u6570\u636e:<\/p>\n<ul>\n<li><strong>\u603b\u53c2\u6570 500B,\u6fc0\u6d3b 35B<\/strong>(\u5168\u81ea\u7814 MoE \u67b6\u6784)<\/li>\n<li>\u4e0a\u4e0b\u6587 1M tokens<\/li>\n<li><strong>1 \u5c0f\u65f6\u957f\u89c6\u9891\u4e00\u6b21\u8bfb\u61c2<\/strong><\/li>\n<li>Agent \u80fd\u529b + \u5de5\u5177\u8c03\u7528 <strong>100% \u51c6\u786e\u7387<\/strong><\/li>\n<li>\u9884\u8ba1 7 \u6708\u4e2d\u65ec\u6b63\u5f0f\u53d1\u5e03<\/li>\n<\/ul>\n<p><strong>\u6700\u70b8\u7684\u70b9:<\/strong> 1 \u5c0f\u65f6\u89c6\u9891\u4e00\u6b21\u8bfb\u61c2 \u2014\u2014 \u8fd9\u610f\u5473\u7740 AI \u7ec8\u4e8e\u80fd\u5b8c\u6574\u770b\u5b8c\u6574\u90e8\u7535\u5f71\u3001\u5b8c\u6574\u573a\u4f1a\u8bae\u4e86\u3002<\/p>\n<p>\u963f\u4f26\u9884\u6d4b:GLM-5 \u4e00\u65e6\u53d1\u5e03,<strong>\u89c6\u9891\u884c\u4e1a\u3001\u6e38\u620f\u884c\u4e1a\u3001\u5ba2\u670d\u884c\u4e1a<\/strong>\u4f1a\u5148\u88ab\u98a0\u8986\u3002<\/p>\n<h3>1.3 \u963f\u91cc\u901a\u4e49 3.0 \u8def\u7ebf\u56fe\u66dd\u5149(06-22)<\/h3>\n<p>\u963f\u4f26\u4ece\u963f\u91cc\u5185\u90e8\u62ff\u5230\u4e00\u4efd 3.0 \u8def\u7ebf\u56fe(\u975e\u5b98\u65b9)\u3002<\/p>\n<p>| \u65f6\u95f4 | \u8ba1\u5212 |<\/p>\n<p>|&#8212;|&#8212;|<\/p>\n<p>| Q3(7-9 \u6708) | \u901a\u4e49 3.0 \u6b63\u5f0f\u53d1\u5e03 |<\/p>\n<p>| \u67b6\u6784 | \u539f\u751f\u591a\u6a21\u6001(\u89c6\u9891\/\u56fe\u50cf\/\u8bed\u97f3\/\u6587\u672c\u7edf\u4e00) |<\/p>\n<p>| \u80fd\u529b | Agent \u5e73\u53f0 + \u4f01\u4e1a\u751f\u6001 |<\/p>\n<p>| \u4ef7\u683c | \u5bf9\u6807\u8c46\u5305 Pro(\u00a50.3 \/ 1M tokens) |<\/p>\n<p>| \u5ba2\u6237 | \u963f\u91cc\u4e91\u7528\u6237 5 \u4e07\u5bb6\u5148\u5185\u6d4b |<\/p>\n<p><strong>\u963f\u4f26\u5224\u65ad:<\/strong> \u963f\u91cc\u8fd9\u6b21\u4e0b\u4e86\u8840\u672c,3.0 \u662f&#8221;\u901a\u4e49\u751f\u6b7b\u6218&#8221;\u3002<\/p>\n<h2>\u4e8c\u3001\u5176\u4ed6\u91cd\u8981\u52a8\u6001<\/h2>\n<h3>2.1 DeepSeek R2 \u7070\u5ea6\u653e\u91cf(06-25)<\/h3>\n<p>DeepSeek R2 \u5df2\u7ecf\u7070\u5ea6\u7ed9 10% \u7528\u6237\u5f00\u653e\u3002<\/p>\n<p><strong>\u65b0\u53d8\u5316:<\/strong><\/p>\n<ul>\n<li>\u6570\u5b66\u80fd\u529b + 15%<\/li>\n<li>\u4ee3\u7801\u80fd\u529b + 10%<\/li>\n<li>\u4e0a\u4e0b\u6587\u4ece 64k \u5347\u5230 128k<\/li>\n<li>\u4ef7\u683c\u7ef4\u6301 \u00a50.5 \/ 1M tokens<\/li>\n<\/ul>\n<p><strong>\u9002\u5408:<\/strong> \u5199\u4ee3\u7801\u3001\u505a\u6570\u5b66\u9898\u3001\u8dd1\u63a8\u7406\u3002<\/p>\n<h3>2.2 \u817e\u8baf\u6df7\u5143 2.0 \u89c6\u9891\u6a21\u578b\u5f00\u653e(06-24)<\/h3>\n<p>\u6df7\u5143\u89c6\u9891\u6a21\u578b 2.0 \u7ec8\u4e8e\u5f00\u653e\u7ed9\u4e2a\u4eba\u7528\u6237\u4e86\u3002<\/p>\n<ul>\n<li>30 \u79d2\u89c6\u9891\u4e00\u6b21\u751f\u6210<\/li>\n<li>1080p,24fps<\/li>\n<li>\u652f\u6301\u4e2d\u82f1\u6587 prompt<\/li>\n<li>\u514d\u8d39 100 credits<\/li>\n<\/ul>\n<p>\u963f\u4f26\u8bd5\u505a\u4e86\u4e00\u6bb5&#8221;\u8d5b\u535a\u670b\u514b\u4e0a\u6d77&#8221;,\u6548\u679c\u7a33\u5b9a,<strong>\u56fd\u4ea7\u7b2c\u4e8c\u68af\u961f\u91cc\u6392\u7b2c\u4e00\u3002<\/strong><\/p>\n<h3>2.3 \u6708\u4e4b\u6697\u9762 Kimi K2 \u5185\u6d4b\u66dd\u5149(06-23)<\/h3>\n<p>Kimi \u4e5f\u8981\u653e\u5927\u62db\u4e86\u3002<\/p>\n<p>K2 \u4e3b\u8981\u5347\u7ea7:<\/p>\n<ul>\n<li>\u4e0a\u4e0b\u6587 256k<\/li>\n<li>\u539f\u751f\u591a\u6a21\u6001<\/li>\n<li>\u4ef7\u683c\u6253 30%<\/li>\n<li>\u4e3b\u6253&#8221;\u957f\u6587\u6863 + \u641c\u7d22&#8221;<\/li>\n<\/ul>\n<p>\u9884\u8ba1 7 \u6708\u5e95\u53d1\u5e03,\u8ddf\u667a\u8c31 GLM-5 \u6b63\u9762\u521a\u3002<\/p>\n<h3>2.4 \u5546\u6c64\u65e5\u65e5\u65b0 6.0(06-25)<\/h3>\n<p>\u5546\u6c64\u53d1\u5e03\u4e86&#8221;\u65e5\u65e5\u65b0 6.0&#8243;\u3002<\/p>\n<p>\u6838\u5fc3\u5356\u70b9:<strong>\u89c6\u9891\u751f\u6210 60 \u79d2\u4e00\u6b21\u8fc7<\/strong>\u3002\u8fd9\u5728\u56fd\u4ea7\u91cc\u662f\u5934\u4e00\u4e2a\u3002<\/p>\n<p>\u963f\u4f26\u6d4b\u4e86\u4e00\u6bb5&#8221;\u56fd\u98ce\u6c34\u58a8\u52a8\u753b&#8221;,\u6548\u679c\u60ca\u8273\u3002<strong>\u505a\u56fd\u98ce \/ \u53e4\u88c5\u5185\u5bb9\u7684\u53ef\u4ee5\u91cd\u70b9\u5173\u6ce8\u3002<\/strong><\/p>\n<h2>\u4e09\u3001\u6d77\u5916\u5927\u5382\u52a8\u6001(\u56fd\u5185\u7528\u6237\u4e5f\u80fd\u8e6d)<\/h2>\n<h3>3.1 OpenAI GPT-5 \u7070\u5ea6(06-25)<\/h3>\n<p>OpenAI \u7ec8\u4e8e\u5728\u6b27\u7f8e\u5bf9 ChatGPT Pro \u7528\u6237\u5f00\u653e GPT-5 \u7070\u5ea6\u3002<\/p>\n<p>\u4e3b\u8981\u53d8\u5316:<\/p>\n<ul>\n<li>\u63a8\u7406\u80fd\u529b + 30%<\/li>\n<li>\u5de5\u5177\u8c03\u7528\u51c6\u786e\u7387 + 25%<\/li>\n<li>\u4ef7\u683c $10\/\u6708 \u4e0d\u53d8<\/li>\n<\/ul>\n<p><strong>\u56fd\u5185\u7528\u5f97\u4e0a\u5417?<\/strong> \u901a\u8fc7 API \u4e2d\u8f6c\u53ef\u4ee5,<strong>\u4ef7\u683c\u7ea6 \u00a530\/1M tokens<\/strong>,\u8d35\u4f46\u80fd\u7528\u3002<\/p>\n<h3>3.2 Anthropic Claude 4.5 Opus \u66f4\u65b0(06-24)<\/h3>\n<p>Claude 4.5 Opus \u63a8\u51fa&#8221;<strong>\u8d85\u957f\u4e0a\u4e0b\u6587\u7248<\/strong>&#8220;\u3002<\/p>\n<ul>\n<li>\u4e0a\u4e0b\u6587\u4ece 200k \u5347\u5230 1M tokens<\/li>\n<li>\u5de5\u5177\u8c03\u7528\u9519\u8bef\u7387\u4ece 8% \u964d\u5230 2%<\/li>\n<li>\u4ef7\u683c $15 \/ 1M tokens(\u6ca1\u6da8)<\/li>\n<\/ul>\n<p><strong>\u56fd\u5185\u600e\u4e48\u7528?<\/strong> \u963f\u4f26\u4e4b\u524d\u5199\u8fc7\u7684&#8221;\u56fd\u5185\u5b98\u65b9\u955c\u50cf&#8221;\u73b0\u5728\u652f\u6301\u8fd9\u4e2a\u7248\u672c,<strong>\u00a5199\/\u6708<\/strong>\u3002<\/p>\n<h3>3.3 Google Gemini 2.5 Pro \u4e2d\u6587\u80fd\u529b\u63d0\u5347(06-23)<\/h3>\n<p>Gemini 2.5 Pro \u5728\u4e2d\u6587\u699c\u5355\u4e0a\u9996\u6b21\u8fdb\u5165\u524d\u4e09\u3002<\/p>\n<ul>\n<li>\u4e2d\u6587\u7406\u89e3 + 12%<\/li>\n<li>\u591a\u6a21\u6001 + 8%<\/li>\n<li>\u4e0a\u4e0b\u6587 2M tokens(\u5168\u7403\u6700\u957f)<\/li>\n<\/ul>\n<p><strong>\u56fd\u5185\u7528\u5f97\u4e0a\u5417?<\/strong> \u6682\u65f6\u8fd8\u5361\u7f51\u7edc,<strong>\u7b49\u4e2d\u8f6c\u7ad9\u63a5\u5427\u3002<\/strong><\/p>\n<h2>\u56db\u3001\u672c\u5468\u6570\u636e\u699c \u2b50<\/h2>\n<p>| \u6a21\u578b | \u4e2d\u6587\u699c | \u4ee3\u7801\u699c | \u5de5\u5177\u8c03\u7528\u699c | \u4ef7\u683c (1M tokens) |<\/p>\n<p>|&#8212;|&#8212;|&#8212;|&#8212;|&#8212;|<\/p>\n<p>| \u667a\u8c31 GLM-4.5 | #1 | #3 | #2 | \u00a54 |<\/p>\n<p>| \u5b57\u8282\u8c46\u5305 Pro 1.5 | #2 | #2 | #1 \u2b50 | <strong>\u00a50.3<\/strong> \u2b50 |<\/p>\n<p>| DeepSeek R2 | #3 | #1 \u2b50 | #3 | \u00a50.5 |<\/p>\n<p>| Kimi K1.5 | #4 | #4 | #4 | \u00a53 |<\/p>\n<p>| \u6587\u5fc3 4.5 | #5 | #5 | #5 | \u00a52.5 |<\/p>\n<p>| \u901a\u4e49 2.5 | #6 | #6 | #6 | \u00a52 |<\/p>\n<p><strong>\u6700\u5927\u9ed1\u9a6c:\u8c46\u5305 Pro 1.5 \u2014\u2014 \u5de5\u5177\u8c03\u7528 + \u4ef7\u683c \u53cc\u6599\u51a0\u519b\u3002<\/strong><\/p>\n<h2>\u4e94\u3001\u672c\u5468\u503c\u5f97\u770b\u7684\u5de5\u5177<\/h2>\n<h3>5.1 Suno V5 \u6570\u5b57\u4eba(06-23)<\/h3>\n<p>Suno V5 \u6570\u5b57\u4eba\u6b63\u5f0f\u5f00\u653e\u3002<\/p>\n<ul>\n<li>10 \u5206\u949f\u505a\u4e00\u9996\u539f\u521b\u6b4c<\/li>\n<li>\u4e2d\u6587 \/ \u82f1\u6587 \/ \u65e5\u6587 \/ \u97e9\u6587 \u90fd\u652f\u6301<\/li>\n<li>\u6570\u5b57\u4eba\u53e3\u578b\u5bf9\u5f97\u4e0a<\/li>\n<li>\u8ba2\u9605 $10\/\u6708<\/li>\n<\/ul>\n<p><strong>\u963f\u4f26\u8bd5\u505a\u4e86\u4e00\u9996&#8221;\u56fd\u98ce\u7535\u97f3&#8221;,20 \u5206\u949f\u51fa\u7247,\u8d28\u91cf\u8fc7\u5f97\u53bb\u3002<\/strong><\/p>\n<h3>5.2 Runway Gen-4 \u4ef7\u683c\u8c03\u6574(06-22)<\/h3>\n<p>Runway \u628a Gen-4 \u4ef7\u683c\u4ece $1.5 \u964d\u5230 $1,\u8ddf\u56fd\u4ea7\u63a5\u8fd1\u4e86\u3002<\/p>\n<p><strong>\u56fd\u5185\u7528\u5f97\u4e0a\u5417?<\/strong> \u8fd8\u5f97\u4ee3\u7406,\u4e0d\u592a\u5212\u7b97\u3002<\/p>\n<h3>5.3 \u5373\u68a6 3.0 \u89c6\u9891\u6a21\u578b\u5347\u7ea7(06-25)<\/h3>\n<p>\u5373\u68a6\u89c6\u9891\u6a21\u578b 3.0 \u5347\u7ea7:<\/p>\n<ul>\n<li>8 \u79d2 \u2192 16 \u79d2<\/li>\n<li>\u514d\u8d39\u989d\u5ea6\u589e\u52a0<\/li>\n<li>\u4e2d\u6587 prompt \u7406\u89e3\u529b + 20%<\/li>\n<\/ul>\n<p><strong>\u81ea\u5a92\u4f53\u4eba\u9996\u9009<\/strong>,\u514d\u8d39\u53c8\u597d\u7528\u3002<\/p>\n<h2>\u516d\u3001\u672c\u5468\u963f\u4f26\u7684\u5224\u65ad<\/h2>\n<h3>6.1 \u56fd\u4ea7 AI \u5df2\u7ecf\u5168\u9762\u8ffd\u5e73<\/h3>\n<p>\u5230 2026 \u5e74 6 \u6708,<strong>\u56fd\u4ea7 AI \u5728\u4ee5\u4e0b\u9886\u57df\u5df2\u8ffd\u5e73\u751a\u81f3\u8d85\u8d8a\u6d77\u5916:<\/strong><\/p>\n<ul>\n<li>\u2705 \u4ef7\u683c(\u4fbf\u5b9c 5-10 \u500d)<\/li>\n<li>\u2705 \u4e2d\u6587\u7406\u89e3<\/li>\n<li>\u2705 \u89c6\u9891\u751f\u6210(\u53ef\u7075 \/ Vidu \/ \u5373\u68a6)<\/li>\n<li>\u2705 Agent \u7f16\u6392(\u6263\u5b50)<\/li>\n<li>\u2705 \u957f\u6587\u6863(\u667a\u8c31)<\/li>\n<\/ul>\n<p><strong>\u4ecd\u843d\u540e:<\/strong><\/p>\n<ul>\n<li>\u274c \u57fa\u7840\u6a21\u578b\u521b\u65b0(\u67b6\u6784 \/ \u8bad\u7ec3\u65b9\u6cd5)<\/li>\n<li>\u274c \u5168\u7403\u751f\u6001(\u6d77\u5916\u5f00\u53d1\u8005\u6bd4\u4f8b)<\/li>\n<li>\u274c \u591a\u6a21\u6001\u539f\u751f(OpenAI GPT-5 \u4ecd\u662f\u6807\u6746)<\/li>\n<\/ul>\n<h3>6.2 \u4f01\u4e1a\u9009\u578b\u5efa\u8bae<\/h3>\n<p><strong>\u964d\u672c:<\/strong> \u5b57\u8282\u8c46\u5305 Pro 1.5<\/p>\n<p><strong>\u7a33\u5b9a:<\/strong> \u667a\u8c31 GLM-4.5<\/p>\n<p><strong>\u751f\u6001:<\/strong> \u963f\u91cc\u901a\u4e49 2.5(\u4f01\u4e1a\u7528\u6237\u591a)<\/p>\n<p><strong>\u4ee3\u7801:<\/strong> DeepSeek R2<\/p>\n<p><strong>\u957f\u6587\u672c:<\/strong> Kimi K1.5<\/p>\n<h3>6.3 \u4e2a\u4eba\u7528\u6237\u5efa\u8bae<\/h3>\n<p><strong>\u5199\u516c\u4f17\u53f7 \/ \u5c0f\u7ea2\u4e66:<\/strong> \u8c46\u5305 \/ Kimi<\/p>\n<p><strong>\u5199\u4ee3\u7801:<\/strong> Claude 4.5 \u56fd\u5185\u955c\u50cf<\/p>\n<p><strong>\u505a\u89c6\u9891:<\/strong> \u53ef\u7075 \/ Vidu<\/p>\n<p><strong>\u65e5\u5e38\u804a\u5929:<\/strong> \u8c46\u5305 \/ \u6587\u5fc3<\/p>\n<h2>\u4e03\u3001\u4e0b\u5468\u503c\u5f97\u8ffd<\/h2>\n<ul>\n<li><strong>07-01:<\/strong> \u667a\u8c31 GLM-5 \u6b63\u5f0f\u53d1\u5e03(\u9884\u8ba1)<\/li>\n<li><strong>07-05:<\/strong> \u963f\u91cc\u901a\u4e49 3.0 \u5185\u6d4b<\/li>\n<li><strong>07-08:<\/strong> Kimi K2 \u53d1\u5e03<\/li>\n<li><strong>07-10:<\/strong> OpenAI GPT-5 \u5168\u7403\u5f00\u653e<\/li>\n<li><strong>07-15:<\/strong> \u5b57\u8282\u8c46\u5305 Pro 2.0 \u9884\u544a<\/li>\n<\/ul>\n<h2>\u516b\u3001\u672c\u5468\u963f\u4f26\u5728\u7528\u4ec0\u4e48?<\/h2>\n<ul>\n<li><strong>\u5199\u516c\u4f17\u53f7:<\/strong> Claude 4.5(\u56fd\u5185\u955c\u50cf)\u2192 \u6da6\u8272\u7528\u8c46\u5305<\/li>\n<li><strong>\u5199\u4ee3\u7801:<\/strong> Cursor + Claude 4.5<\/li>\n<li><strong>\u505a\u89c6\u9891:<\/strong> \u53ef\u7075 2 + Vidu 3<\/li>\n<li><strong>\u505a\u5c01\u9762:<\/strong> \u5373\u68a6 3.0<\/li>\n<li><strong>\u6574\u7406\u8d44\u6599:<\/strong> \u667a\u8c31\u6e05\u8a00<\/li>\n<li><strong>\u8de8\u5883\u4e1a\u52a1:<\/strong> \u963f\u91cc\u901a\u4e49<\/li>\n<\/ul>\n<p><strong>\u5168\u6808\u56fd\u4ea7 + \u5076\u5c14\u6d77\u5916\u3002<\/strong><\/p>\n<p><strong>\u5173\u4e8e\u963f\u4f26:<\/strong><\/p>\n<ul>\n<li>\u516c\u4f17\u53f7 \/ \u6296\u97f3 \/ B\u7ad9\u540c\u540d:<strong>eShowAI<\/strong><\/li>\n<li>\u6bcf\u5468\u65e5\u665a 8 \u70b9\u66f4 AI \u5468\u62a5<\/li>\n<li>\u9996\u53d1:eshowai.com<\/li>\n<li>\u7559\u8a00\u4f60\u60f3\u770b\u4ec0\u4e48,\u963f\u4f26\u4e0b\u5468\u5199<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>AI \u5468\u62a5 06\/22-06\/26:\u8c46\u5305 Pro 1.5 \u5168\u7f51\u5237\u5c4f\u3001\u667a\u8c31 GLM-5 \u5185\u6d4b\u66dd\u5149\u3001\u963f\u91cc\u901a\u4e49 3. [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[88],"tags":[112,105,94,96],"class_list":["post-588","post","type-post","status-publish","format-standard","hentry","category-weekly","tag-deepseek","tag-105","tag-94","tag-96"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/posts\/588","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/comments?post=588"}],"version-history":[{"count":1,"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/posts\/588\/revisions"}],"predecessor-version":[{"id":650,"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/posts\/588\/revisions\/650"}],"wp:attachment":[{"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/media?parent=588"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/categories?post=588"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/tags?post=588"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}