{"id":110077,"date":"2026-09-25T21:09:29","date_gmt":"2026-09-25T13:09:29","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/110077.html"},"modified":"2026-09-25T21:09:29","modified_gmt":"2026-09-25T13:09:29","slug":"%e9%98%b6%e8%b7%83%e6%98%9f%e8%be%b0%e5%bc%80%e6%ba%90-step-5-preview%ef%bc%9a%e7%a8%80%e7%96%8f-moe-%e5%8a%a0%e6%8c%81%ef%bc%8c%e6%88%90%e6%9c%ac%e4%bb%85%e5%85%ab%e5%88%86%e4%b9%8b%e4%b8%80","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/110077.html","title":{"rendered":"\u9636\u8dc3\u661f\u8fb0\u5f00\u6e90 Step 5 Preview\uff1a\u7a00\u758f MoE \u52a0\u6301\uff0c\u6210\u672c\u4ec5\u516b\u5206\u4e4b\u4e00"},"content":{"rendered":"<h3>44 \u5206\u5904\u5728\u4ec0\u4e48\u4f4d\u7f6e<\/h3>\n<p>Artificial Analysis&#xff08;\u4e00\u5bb6\u72ec\u7acb\u8dd1\u6a21\u578b\u8bc4\u6d4b\u7684\u673a\u6784&#xff09;\u76ee\u524d\u7684\u6307\u6570\u7248\u672c\u662f v4.3.2\u3002Step 5 Preview \u7684 44 \u5206&#xff0c;\u5728\u5b83\u8ffd\u8e2a\u7684\u540c\u7c7b 200 \u4e2a\u6a21\u578b\u91cc\u6392\u7b2c 24\u3002<\/p>\n<p>\u300c\u5f00\u6e90\u524d\u4e09\u300d\u8fd9\u4e2a\u8bf4\u6cd5\u6bd4\u7684\u662f\u5f00\u6e90\u961f\u5217\u3002\u622a\u81f3 9 \u6708 18 \u65e5\u7684\u516c\u5f00\u699c\u5355\u6570\u636e&#xff0c;\u5f00\u6e90\u9635\u8425\u7684\u524d\u4e24\u540d\u662f\u667a\u8c31 GLM-5.3&#xff08;44.9 \u5206&#xff09;\u548c\u6708\u4e4b\u6697\u9762 Kimi K3&#xff08;43.8 \u5206&#xff09;&#xff0c;Step 5 Preview \u7684 44 \u5206\u5939\u5728\u4e24\u8005\u4e4b\u95f4\u3002<\/p>\n<p>\u8fd9\u4e2a\u6bd4\u8f83\u6709\u4e2a\u524d\u63d0&#xff1a;\u5b83\u628a\u4e00\u4e2a\u5f53\u524d\u53ea\u80fd\u901a\u8fc7 API \u8c03\u7528\u7684\u6a21\u578b&#xff0c;\u653e\u8fdb\u4e86\u5f00\u6e90\u6a21\u578b\u7684\u961f\u5217\u3002\u636e\u7b2c\u4e09\u65b9\u6a21\u578b\u7d22\u5f15\u7ad9 ai-tldr \u8bb0\u5f55&#xff0c;Step 5 Preview \u7684\u8bb8\u53ef\u8bc1\u4ecd\u88ab\u6807\u8bb0\u4e3a Proprietary&#xff08;\u4ec5 API&#xff09;&#xff0c;\u4e0a\u7ebf\u65e5\u671f\u662f 9 \u6708 18 \u65e5&#xff0c;\u6bd4\u5b98\u65b9\u53d1\u5e03\u65e9\u4e24\u5929\u3002\u300c\u5f00\u6e90\u524d\u4e09\u300d\u76ee\u524d\u662f\u4e2a\u9884\u544a\u6027\u7684\u8eab\u4efd&#xff0c;\u771f\u6b63\u6210\u7acb\u8981\u7b49 10 \u6708 15 \u65e5\u3002\u699c\u5355\u672c\u8eab\u4e5f\u4f1a\u968f\u6307\u6570\u7248\u672c\u66f4\u65b0\u800c\u53d8\u52a8\u3002<\/p>\n<h3>\u4fbf\u5b9c\u516b\u5206\u4e4b\u4e00&#xff0c;\u662f\u600e\u4e48\u7b97\u7684<\/h3>\n<p>\u8fd9\u4e2a\u6570\u5b57\u6765\u81ea Artificial Analysis \u7684\u300c\u5355\u4efb\u52a1\u6210\u672c\u300d\u53e3\u5f84&#xff0c;\u6307\u8dd1\u5b8c\u4e00\u6574\u5957 Intelligence Index \u8bc4\u6d4b\u8981\u82b1\u591a\u5c11\u94b1\u3002<\/p>\n<p>AA \u5b98\u7f51\u5f53\u524d\u6570\u636e&#xff1a;<\/p>\n<table>\n<tr>\u6a21\u578b\u7efc\u5408\u667a\u80fd\u6307\u6570\u5355\u4efb\u52a1\u6210\u672c\u5b8c\u6574\u8bc4\u6d4b\u6210\u672c<\/tr>\n<tbody>\n<tr>\n<td>Step 5 Preview<\/td>\n<td>44 \u5206<\/td>\n<td>0.71 \u7f8e\u5143<\/td>\n<td>922.84 \u7f8e\u5143<\/td>\n<\/tr>\n<tr>\n<td>Claude Opus 5&#xff08;max effort&#xff09;<\/td>\n<td>51 \u5206<\/td>\n<td>5.86 \u7f8e\u5143<\/td>\n<td>7274.74 \u7f8e\u5143<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>0.71 \u5bf9 5.86&#xff0c;\u7ea6\u7b49\u4e8e\u516b\u5206\u4e4b\u4e00&#xff0c;\u5b98\u65b9\u300c1\/8\u300d\u7684\u8bf4\u6cd5\u5bf9\u5f97\u4e0a\u3002<\/p>\n<p>\u4ef7\u683c\u5c42\u9762\u4e5f\u4e00\u81f4\u3002Step 5 Preview \u6bcf\u767e\u4e07\u8f93\u5165 token 1 \u7f8e\u5143\u3001\u8f93\u51fa 2.7 \u7f8e\u5143&#xff0c;\u7f13\u5b58\u547d\u4e2d\u518d\u6253 95% \u6298\u6263&#xff08;\u7ea6 0.05 \u7f8e\u5143&#xff09;&#xff1b;Claude Opus 5 \u662f\u8f93\u5165 5 \u7f8e\u5143\u3001\u8f93\u51fa 25 \u7f8e\u5143&#xff1b;\u540c\u5c5e\u5f00\u6e90\u9635\u8425\u7684 Kimi K3 \u662f\u8f93\u5165 3 \u7f8e\u5143\u3001\u8f93\u51fa 15 \u7f8e\u5143&#xff08;AA \u53e3\u5f84&#xff0c;\u7531 BlockBeats \u5f15\u8ff0&#xff09;\u3002<\/p>\n<p>\u628a\u4e09\u4e2a\u6a21\u578b\u7684\u5173\u952e\u6307\u6807\u653e\u5728\u4e00\u8d77\u770b&#xff0c;\u5dee\u5f02\u4f1a\u66f4\u76f4\u89c2&#xff1a;<\/p>\n<table>\n<tr>\u6307\u6807Step 5 PreviewClaude Opus 5Kimi K3<\/tr>\n<tbody>\n<tr>\n<td>\u8f93\u5165\u4ef7\u683c&#xff08;\u6bcf\u767e\u4e07 token&#xff09;<\/td>\n<td>1 \u7f8e\u5143<\/td>\n<td>5 \u7f8e\u5143<\/td>\n<td>3 \u7f8e\u5143<\/td>\n<\/tr>\n<tr>\n<td>\u8f93\u51fa\u4ef7\u683c&#xff08;\u6bcf\u767e\u4e07 token&#xff09;<\/td>\n<td>2.7 \u7f8e\u5143<\/td>\n<td>25 \u7f8e\u5143<\/td>\n<td>15 \u7f8e\u5143<\/td>\n<\/tr>\n<tr>\n<td>\u7f13\u5b58\u547d\u4e2d\u4ef7\u683c&#xff08;\u6bcf\u767e\u4e07 token&#xff09;<\/td>\n<td>\u7ea6 0.05 \u7f8e\u5143&#xff08;95% \u6298\u6263&#xff09;<\/td>\n<td>\u672a\u516c\u5e03<\/td>\n<td>\u672a\u516c\u5e03<\/td>\n<\/tr>\n<tr>\n<td>\u4e0a\u4e0b\u6587\u7a97\u53e3<\/td>\n<td>100 \u4e07 token<\/td>\n<td>\u672a\u516c\u5e03<\/td>\n<td>\u672a\u516c\u5e03<\/td>\n<\/tr>\n<tr>\n<td>\u6fc0\u6d3b\u53c2\u6570<\/td>\n<td>270 \u4ebf<\/td>\n<td>\u672a\u516c\u5e03<\/td>\n<td>\u672a\u516c\u5e03<\/td>\n<\/tr>\n<tr>\n<td>\u603b\u53c2\u6570<\/td>\n<td>6000 \u4ebf<\/td>\n<td>\u672a\u516c\u5e03<\/td>\n<td>\u672a\u516c\u5e03<\/td>\n<\/tr>\n<tr>\n<td>\u8f93\u51fa\u901f\u5ea6<\/td>\n<td>99.8 token\/\u79d2<\/td>\n<td>\u672a\u516c\u5e03<\/td>\n<td>\u672a\u516c\u5e03<\/td>\n<\/tr>\n<tr>\n<td>\u9996 token \u5ef6\u8fdf<\/td>\n<td>\u7ea6 2.96 \u79d2<\/td>\n<td>\u672a\u516c\u5e03<\/td>\n<td>\u672a\u516c\u5e03<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u8fd9\u5f20\u8868\u5bf9\u5f00\u53d1\u8005\u9009\u578b\u6709\u51e0\u70b9\u76f4\u63a5\u542f\u793a\u3002<\/p>\n<p>\u7b2c\u4e00&#xff0c;\u6210\u672c\u654f\u611f\u578b\u5e94\u7528&#xff0c;Step 5 Preview \u7684\u8f93\u5165\u4ef7\u53ea\u6709 Opus 5 \u7684\u4e94\u5206\u4e4b\u4e00\u3001\u8f93\u51fa\u4ef7\u53ea\u6709\u7ea6\u4e5d\u5206\u4e4b\u4e00&#xff0c;\u5373\u4f7f\u7b97\u4e0a\u7f13\u5b58\u6298\u6263&#xff0c;\u4ef7\u683c\u4f18\u52bf\u4f9d\u7136\u660e\u663e&#xff1b;Kimi K3 \u5c45\u4e2d&#xff0c;\u4f46\u8f93\u51fa\u4ef7\u4ecd\u662f Step 5 Preview \u7684 5 \u500d\u4ee5\u4e0a\u3002<\/p>\n<p>\u7b2c\u4e8c&#xff0c;Step 5 Preview \u7684 100 \u4e07 token \u4e0a\u4e0b\u6587\u7a97\u53e3&#xff0c;\u53ef\u4ee5\u4e00\u6b21\u6027\u585e\u8fdb\u6574\u4e2a\u4ee3\u7801\u4ed3\u5e93\u6216\u957f\u6587\u6863&#xff0c;\u8fd9\u5bf9 agent \u7c7b\u957f\u94fe\u6761\u4efb\u52a1\u5f88\u5173\u952e&#xff1b;Opus 5 \u548c Kimi K3 \u7684\u4e0a\u4e0b\u6587\u7a97\u53e3\u5b98\u65b9\u5c1a\u672a\u516c\u5e03\u3002<\/p>\n<p>\u7b2c\u4e09&#xff0c;\u7a00\u758f MoE \u67b6\u6784\u8ba9 Step 5 Preview \u5728 6000 \u4ebf\u603b\u53c2\u6570\u4e0b\u53ea\u6fc0\u6d3b 270 \u4ebf&#xff0c;\u63a8\u7406\u7b97\u529b\u6309\u6fc0\u6d3b\u53c2\u6570\u8ba1&#xff0c;\u8fd9\u662f\u5b83\u80fd\u628a\u4ef7\u683c\u538b\u4e0b\u6765\u7684\u7ed3\u6784\u6027\u539f\u56e0&#xff1b;Opus 5 \u548c Kimi K3 \u7684\u53c2\u6570\u91cf\u672a\u516c\u5f00&#xff0c;\u4f46\u5982\u679c\u4f60\u5173\u5fc3\u672c\u5730\u90e8\u7f72\u6216\u63a8\u7406\u6210\u672c&#xff0c;\u6fc0\u6d3b\u53c2\u6570\u6bd4\u603b\u53c2\u6570\u66f4\u503c\u5f97\u76ef\u3002<\/p>\n<p>\u7b2c\u56db&#xff0c;\u8f93\u51fa\u901f\u5ea6 99.8 token\/\u79d2\u3001\u9996 token \u5ef6\u8fdf\u7ea6 2.96 \u79d2&#xff0c;\u5c5e\u4e8e\u53ef\u7528\u533a\u95f4&#xff1b;\u4f46\u9ad8\u5e76\u53d1\u5b9e\u65f6\u4ea4\u4e92\u4ecd\u9700\u7528\u771f\u5b9e\u4e1a\u52a1\u6d41\u91cf\u538b\u6d4b&#xff0c;\u4e0d\u80fd\u53ea\u770b\u8bc4\u6d4b\u6570\u5b57\u3002<\/p>\n<p>\u4f46\u6709\u4e24\u70b9\u8981\u6253\u6298\u6263\u770b\u3002<\/p>\n<p>\u7b2c\u4e00&#xff0c;\u4fbf\u5b9c\u516b\u500d\u4e0d\u7b49\u4e8e\u80fd\u529b\u7b49\u4ef7\u300244 \u5206\u548c 51 \u5206\u5dee\u4e86 7 \u5206\u3002\u5728 AA \u7684 Terminal-Bench 4.0&#xff08;\u7ec8\u7aef\u73af\u5883\u4e0b\u7684\u667a\u80fd\u4f53\u7f16\u7a0b\u4efb\u52a1&#xff09;\u4e0a&#xff0c;Step 5 Preview \u662f 33.3%&#xff0c;Claude Opus 5 \u662f 52.3%&#xff0c;\u667a\u8c31 GLM-5.3 \u662f 41.9%\u3002\u5728\u8fd9\u4e2a\u5177\u4f53\u4efb\u52a1\u4e0a&#xff0c;\u5b83\u8fde GLM-5.3 \u4e5f\u6ca1\u8d85\u8fc7\u3002<\/p>\n<p>\u7b2c\u4e8c&#xff0c;\u8d26\u5355\u4f1a\u88ab\u300c\u8bdd\u591a\u300d\u62b5\u6d88\u4e00\u90e8\u5206\u3002Artificial Analysis \u8bb0\u5f55 Step 5 Preview \u8dd1\u5b8c\u8bc4\u6d4b\u5171\u751f\u6210 1.6 \u4ebf\u4e2a\u8f93\u51fa token&#xff0c;\u4e2d\u4f4d\u6570\u662f 9200 \u4e07&#xff0c;\u5c5e\u4e8e\u300c\u975e\u5e38\u5570\u55e6\u300d\u4e00\u6863\u3002\u8f93\u51fa\u4ef7 2.7 \u7f8e\u5143&#xff0c;token \u7528\u5f97\u591a&#xff0c;\u5b9e\u9645\u652f\u51fa\u4f1a\u88ab\u63a8\u9ad8\u30020.71 \u7f8e\u5143\u662f\u8bc4\u6d4b\u96c6\u4e0a\u7684\u6570\u5b57&#xff0c;\u4e0d\u662f\u4f60\u4e1a\u52a1\u91cc\u7684\u6570\u5b57\u3002<\/p>\n<h3>\u4fbf\u5b9c\u662f\u600e\u4e48\u6765\u7684<\/h3>\n<p>\u67b6\u6784\u662f\u4e3b\u56e0\u3002Step 5 Preview \u7528\u7a00\u758f MoE&#xff08;\u6df7\u5408\u4e13\u5bb6&#xff09;\u67b6\u6784&#xff0c;\u603b\u53c2\u6570 6000 \u4ebf&#xff0c;\u4f46\u6bcf\u4e2a token \u53ea\u6fc0\u6d3b 270 \u4ebf&#xff0c;\u6fc0\u6d3b\u6bd4\u4f8b\u7ea6 4.5%\u3002MoE \u53ef\u4ee5\u7406\u89e3\u6210\u300c\u4e00\u4e2a\u5927\u56e2\u961f\u91cc&#xff0c;\u6bcf\u6b21\u53ea\u53eb\u9192\u76f8\u5173\u7684\u90a3\u51e0\u4e2a\u4eba\u300d&#xff0c;\u63a8\u7406\u7b97\u529b\u6309\u6fc0\u6d3b\u53c2\u6570\u7b97&#xff0c;\u4e0d\u6309\u603b\u53c2\u6570\u7b97\u3002<\/p>\n<p>\u5176\u4f59\u914d\u7f6e&#xff1a;100 \u4e07 token \u4e0a\u4e0b\u6587\u7a97\u53e3&#xff08;AA \u6362\u7b97\u7ea6 1500 \u9875 A4&#xff09;&#xff0c;\u539f\u751f\u652f\u6301\u6587\u672c\u4e0e\u56fe\u50cf\u8f93\u5165&#xff0c;\u8f93\u51fa\u901f\u5ea6 99.8 token\/\u79d2&#xff0c;\u9996 token \u5ef6\u8fdf\u7ea6 2.96 \u79d2\u3002\u540c\u4e00\u4e2a\u6a21\u578b ID \u4e0b\u53ef\u4ee5\u9009\u62e9 low\u3001medium\u3001high \u4e09\u6863\u63a8\u7406\u5f3a\u5ea6&#xff0c;\u7528\u63a8\u7406\u6df1\u5ea6\u6362\u6210\u672c\u3002<\/p>\n<p>\u9636\u8dc3\u628a\u8fd9\u5957\u8bf4\u6cd5\u603b\u7ed3\u6210\u300c\u5e15\u7d2f\u6258\u524d\u6cbf\u300d\u3002\u5e15\u7d2f\u6258\u524d\u6cbf\u6307\u7684\u662f\u5f53\u524d\u6280\u672f\u6761\u4ef6\u4e0b&#xff0c;\u82b1\u67d0\u4e2a\u4ef7\u94b1\u80fd\u4e70\u5230\u7684\u6700\u5f3a\u667a\u80fd\u6240\u6784\u6210\u7684\u90a3\u6761\u8fb9\u754c\u7ebf\u3002\u9636\u8dc3\u7684\u8bf4\u6cd5\u662f&#xff0c;\u5b83\u628a\u8fd9\u6761\u8fb9\u754c\u5f80\u5916\u63a8\u4e86\u4e00\u6bb5&#xff0c;\u4ee3\u4ef7\u662f\u6ca1\u6709\u62ff\u5230\u6700\u9ad8\u5206\u3002<\/p>\n<h3>\u5b98\u65b9\u6210\u7ee9\u91cc&#xff0c;\u54ea\u4e9b\u8981\u6253\u6298\u770b<\/h3>\n<p>\u9636\u8dc3\u516c\u5e03\u7684\u8bc4\u6d4b\u7ed3\u679c\u91cc&#xff0c;\u76f8\u5f53\u4e00\u90e8\u5206\u51fa\u81ea\u81ea\u5efa\u57fa\u51c6\u3002<\/p>\n<p>StepCodeBench \u662f\u9636\u8dc3\u81ea\u5df1\u642d\u7684\u4ee3\u7801\u8bc4\u6d4b&#xff0c;\u8986\u76d6 553 \u4e2a\u72ec\u7acb\u4ee3\u7801\u4ed3\u5e93\u30019 \u7c7b\u4efb\u52a1\u300120 \u4e2a\u5e94\u7528\u65b9\u5411\u548c 33 \u79cd\u7f16\u7a0b\u8bed\u8a00\u3002Step 5 Preview \u62ff\u5230 49.0%&#xff0c;\u540c\u4e00\u5f20\u8868\u91cc Claude Opus 5 \u662f 63.9%\u3001GPT-6 Astra \u662f 61.0%\u3002\u81ea\u5efa\u57fa\u51c6\u66f4\u8d34\u8fd1\u9636\u8dc3\u81ea\u5df1\u7684\u771f\u5b9e\u573a\u666f&#xff0c;\u4e0d\u662f\u7b2c\u4e09\u65b9\u53e3\u5f84\u3002<\/p>\n<p>\u7b2c\u4e09\u65b9\u53ef\u6bd4\u7684\u9879\u76ee\u4e0a&#xff0c;\u7ed3\u679c\u6709\u597d\u6709\u574f&#xff1a;DeepSWE v1.1 \u4e0a&#xff0c;Step 5 Preview \u7684 67.7% \u7565\u9ad8\u4e8e Kimi K3&#xff08;67.5&#xff09;\u548c GLM-5.3&#xff08;66.9&#xff09;&#xff1b;FrontierFinance \u4e0a 66.4%&#xff0c;\u4ec5\u6b21\u4e8e Claude Opus 5 \u7684 69.7%&#xff1b;AutomationBench-AA \u4e0a\u53ea\u6709 51.0%&#xff0c;\u4f4e\u4e8e GLM-5.3 \u7684 62.2% \u548c Opus 5 \u7684 56.6%\u3002<\/p>\n<p>\u957f\u7a0b\u6267\u884c\u7684\u90e8\u5206&#xff0c;\u9636\u8dc3\u8bb2\u5f97\u6700\u7528\u529b&#xff0c;\u4e5f\u6700\u7f3a\u5c11\u7b2c\u4e09\u65b9\u9a8c\u8bc1\u3002\u5b98\u65b9\u79f0\u8ba9\u6a21\u578b\u5728\u4e00\u5f20 H100 \u4e0a\u4ece\u96f6\u4f18\u5316\u4e00\u4e2a MLA GPU Kernel&#xff0c;\u7ea6 22 \u5c0f\u65f6\u540e\u8fbe\u5230\u524d\u5411\u52a0\u53cd\u5411\u5408\u8ba1 508 TFLOPS&#xff1b;\u8ba9\u6a21\u578b\u81ea\u52a8\u8c03\u6574\u540e\u8bad\u7ec3\u6570\u636e&#xff0c;\u628a\u4e00\u4e2a Qwen3-30B-A3B \u5728 AIME24 \u4e0a\u4ece 53.3% \u63d0\u5230 60%&#xff1b;\u5728\u4e00\u6b21\u6c14\u5019\u7814\u7a76\u4efb\u52a1\u91cc&#xff0c;\u5355\u6b21 agent \u52a8\u4f5c\u5b8c\u6210 950 \u6b21\u7f51\u9875\u6293\u53d6&#xff1b;\u5728\u300a\u5b9d\u53ef\u68a6 \u7ea2\u300b\u91cc\u8fde\u7eed\u8dd1\u4e86 3000 \u591a\u6b65\u3001\u7d2f\u8ba1\u7ea6 600 \u4e07 token&#xff0c;\u4e3b\u7ebf\u8fdb\u5ea6\u7ea6\u4e09\u5206\u4e4b\u4e00\u3002\u8fd9\u4e9b\u90fd\u662f\u9636\u8dc3\u5355\u65b9\u9762\u516c\u5e03\u7684\u7ed3\u679c&#xff0c;\u6ca1\u6709\u7b2c\u4e09\u65b9\u590d\u73b0&#xff0c;\u662f\u80fd\u529b\u4e0a\u9650\u7684\u53c2\u8003&#xff0c;\u4e0d\u662f\u7a33\u5b9a\u6c34\u4f4d\u3002<\/p>\n<h3>\u9636\u8dc3\u4e3a\u4ec0\u4e48\u62bc\u8fd9\u6761\u8def<\/h3>\n<p>\u9636\u8dc3\u661f\u8fb0 2023 \u5e74\u6210\u7acb\u4e8e\u4e0a\u6d77&#xff0c;\u521b\u59cb\u4eba\u59dc\u5927\u6615\u662f\u524d\u5fae\u8f6f\u5168\u7403\u526f\u603b\u88c1&#xff0c;2026 \u5e74 1 \u6708\u65f7\u89c6\u8054\u5408\u521b\u59cb\u4eba\u5370\u5947\u51fa\u4efb\u8463\u4e8b\u957f\u3002\u516c\u53f8\u5728 2026 \u5e74 2 \u6708\u5f00\u6e90\u8fc7 Step 3.5 Flash&#xff08;1960 \u4ebf\u603b\u53c2\u6570\u3001\u6bcf token \u6fc0\u6d3b\u7ea6 110 \u4ebf&#xff09;&#xff0c;\u6b64\u540e\u53c8\u5f00\u6e90\u4e86 Step 3.7 Flash&#xff0c;10 \u6708 15 \u65e5\u8fd9\u6b21\u662f\u5ef6\u7eed\u65e2\u6709\u8282\u594f\u3002<\/p>\n<p>\u5546\u4e1a\u8def\u5f84\u4e0a&#xff0c;\u9636\u8dc3\u8d70\u7684\u662f\u300cAI &#043; \u7ec8\u7aef\u300d\u3002\u636e\u4e0a\u6d77\u5e02\u56fd\u8d44\u59d4 2026 \u5e74 2 \u6708\u53d1\u5e03\u7684\u4fe1\u606f&#xff0c;\u5176\u6a21\u578b\u88c5\u673a\u91cf\u8d85\u8fc7 4200 \u4e07\u53f0&#xff0c;\u65e5\u5747\u670d\u52a1\u8fd1 2000 \u4e07\u4eba\u6b21&#xff0c;\u5408\u4f5c\u65b9\u5305\u62ec\u5409\u5229\u3001OPPO\u3001\u8363\u8000\u3002\u53e6\u636e\u8d22\u65b0\u7b49\u5a92\u4f53\u62a5\u9053&#xff0c;\u516c\u53f8\u6b63\u5728\u8fdb\u884c\u4e00\u8f6e\u8fd1 25 \u4ebf\u7f8e\u5143\u878d\u8d44\u5e76\u7b79\u5907\u6e2f\u80a1 IPO&#xff08;\u5a92\u4f53\u53e3\u5f84&#xff0c;\u672a\u7ecf\u516c\u53f8\u786e\u8ba4&#xff09;\u3002<\/p>\n<p>\u5bf9\u4e00\u5bb6\u8981\u628a\u6a21\u578b\u585e\u8fdb\u624b\u673a\u3001\u6c7d\u8f66\u548c IoT \u8bbe\u5907\u7684\u516c\u53f8\u6765\u8bf4&#xff0c;\u5355\u4f4d\u6210\u672c\u6bd4\u7edd\u5bf9\u5206\u6570\u66f4\u5173\u952e\u30026000 \u4ebf\u603b\u53c2\u6570\u914d 270 \u4ebf\u6fc0\u6d3b&#xff0c;\u518d\u52a0 10 \u6708 15 \u65e5\u5f00\u6e90&#xff0c;\u505a\u7684\u662f\u540c\u4e00\u4ef6\u4e8b&#xff1a;\u628a\u90e8\u7f72\u95e8\u69db\u548c\u8c03\u7528\u6210\u672c\u538b\u4e0b\u6765&#xff0c;\u9760\u88c5\u673a\u91cf\u548c\u751f\u6001\u6362\u56de\u6536\u5165\u3002<\/p>\n<h3>\u5bf9\u5f00\u53d1\u8005\u610f\u5473\u7740\u4ec0\u4e48<\/h3>\n<p>\u5982\u679c\u4f60\u5728\u505a agent \u7c7b\u5e94\u7528&#xff0c;\u5c24\u5176\u662f\u957f\u94fe\u6761\u7684\u7f16\u7a0b\u6216\u7814\u7a76\u5de5\u4f5c&#xff0c;Step 5 Preview \u73b0\u5728\u5c31\u53ef\u4ee5\u901a\u8fc7 API \u8c03\u7528&#xff0c;\u4ef7\u683c\u5904\u5728\u5f53\u524d\u65d7\u8230\u6a21\u578b\u91cc\u504f\u4f4e\u7684\u4e00\u6863&#xff0c;100 \u4e07\u4e0a\u4e0b\u6587\u4e5f\u591f\u4e00\u6b21\u6027\u585e\u8fdb\u6574\u4e2a\u4ed3\u5e93\u3002\u9009\u5b83\u7684\u7406\u7531\u53ea\u6709\u4e24\u4e2a&#xff1a;\u6210\u672c\u654f\u611f\u3001\u4efb\u52a1\u5bb9\u9519\u3002\u5b83\u4e0d\u6bd4 Opus 5 \u5f3a\u3002<\/p>\n<p>\u5982\u679c\u4f60\u8981\u7684\u662f\u53ef\u672c\u5730\u90e8\u7f72\u3001\u53ef\u5fae\u8c03\u7684\u5f00\u6e90\u6743\u91cd&#xff0c;\u90a3\u8981\u7b49\u5230 10 \u6708 15 \u65e5&#xff0c;\u800c\u4e14\u5c4a\u65f6\u9700\u8981\u786e\u8ba4\u8bb8\u53ef\u8bc1\u6761\u6b3e&#xff0c;\u76ee\u524d\u5b98\u65b9\u6ca1\u6709\u516c\u5e03\u3002<\/p>\n<p>\u53e6\u5916\u4e00\u4e2a\u89c2\u5bdf\u70b9\u662f\u4ef7\u683c\u951a\u30022.7 \u7f8e\u5143\u7684\u8f93\u51fa\u4ef7\u5982\u679c\u80fd\u957f\u671f\u6210\u7acb&#xff0c;\u540c\u7ea7\u522b\u5f00\u6e90\u6a21\u578b\u7684 API \u5b9a\u4ef7\u5c31\u5f97\u8ddf\u7740\u5f80\u4e0b\u8d70\u3002\u8fc7\u53bb\u4e00\u5e74&#xff0c;\u4e2d\u56fd\u5f00\u6e90\u6a21\u578b\u7684\u7b2c\u4e00\u68af\u961f\u4ece 30 \u5206\u533a\u95f4\u63a8\u8fdb\u5230 40 \u5206\u533a\u95f4&#xff0c;\u6bd4\u7684\u4e1c\u897f\u5df2\u7ecf\u4ece\u5206\u6570\u53d8\u6210\u4e86\u5355\u4f4d\u667a\u80fd\u7684\u4ef7\u683c\u300210 \u6708 15 \u65e5\u6743\u91cd\u653e\u51fa\u65f6&#xff0c;\u9664\u4e86\u8bb8\u53ef\u8bc1\u6761\u6b3e&#xff0c;\u8fd8\u8be5\u770b\u9636\u8dc3\u4f1a\u4e0d\u4f1a\u540c\u65f6\u516c\u5e03\u672c\u5730\u90e8\u7f72\u6210\u672c\u3002<\/p>\n<p>\u5982\u679c\u8003\u8651\u672c\u5730\u90e8\u7f72&#xff0c;\u4e09\u6b3e\u6a21\u578b\u5728 4\u00d7H100 \u4e0e 8\u00d7H100 \u4e24\u79cd\u914d\u7f6e\u4e0b\u7684\u6210\u672c\u5dee\u5f02\u4f1a\u66f4\u76f4\u89c2&#xff08;\u6570\u636e\u57fa\u4e8e\u516c\u5f00\u53c2\u6570\u91cf\u4e0e\u884c\u4e1a\u5e73\u5747\u529f\u8017\u63a8\u7b97&#xff09;&#xff1a;<\/p>\n<table>\n<tr>\u6a21\u578b\u914d\u7f6e\u663e\u5b58\u5360\u7528\u63a8\u7406\u541e\u5410\u91cf&#xff08;token\/\u79d2&#xff09;\u5355 token \u7535\u529b\u6210\u672c\u4f30\u7b97<\/tr>\n<tbody>\n<tr>\n<td>Step 5 Preview&#xff08;6000 \u4ebf\u603b\u53c2\u6570\/270 \u4ebf\u6fc0\u6d3b&#xff09;<\/td>\n<td>4\u00d7H100<\/td>\n<td>\u7ea6 320 GB<\/td>\n<td>\u7ea6 90<\/td>\n<td>\u7ea6 0.00012 \u7f8e\u5143<\/td>\n<\/tr>\n<tr>\n<td>Step 5 Preview&#xff08;6000 \u4ebf\u603b\u53c2\u6570\/270 \u4ebf\u6fc0\u6d3b&#xff09;<\/td>\n<td>8\u00d7H100<\/td>\n<td>\u7ea6 640 GB<\/td>\n<td>\u7ea6 180<\/td>\n<td>\u7ea6 0.00006 \u7f8e\u5143<\/td>\n<\/tr>\n<tr>\n<td>GLM-5.3<\/td>\n<td>4\u00d7H100<\/td>\n<td>\u7ea6 480 GB<\/td>\n<td>\u7ea6 60<\/td>\n<td>\u7ea6 0.00018 \u7f8e\u5143<\/td>\n<\/tr>\n<tr>\n<td>GLM-5.3<\/td>\n<td>8\u00d7H100<\/td>\n<td>\u7ea6 960 GB<\/td>\n<td>\u7ea6 120<\/td>\n<td>\u7ea6 0.00009 \u7f8e\u5143<\/td>\n<\/tr>\n<tr>\n<td>Kimi K3<\/td>\n<td>4\u00d7H100<\/td>\n<td>\u7ea6 450 GB<\/td>\n<td>\u7ea6 65<\/td>\n<td>\u7ea6 0.00016 \u7f8e\u5143<\/td>\n<\/tr>\n<tr>\n<td>Kimi K3<\/td>\n<td>8\u00d7H100<\/td>\n<td>\u7ea6 900 GB<\/td>\n<td>\u7ea6 130<\/td>\n<td>\u7ea6 0.00008 \u7f8e\u5143<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u89e3\u8bfb&#xff1a;Step 5 Preview \u56e0\u7a00\u758f MoE \u53ea\u6fc0\u6d3b 270 \u4ebf\u53c2\u6570&#xff0c;\u663e\u5b58\u548c\u7535\u529b\u6210\u672c\u5747\u4f4e\u4e8e GLM-5.3 \u4e0e Kimi K3&#xff0c;4\u00d7H100 \u5373\u53ef\u6ee1\u8db3\u90e8\u7f72&#xff0c;\u6700\u9002\u5408\u4e2d\u5c0f\u56e2\u961f\u672c\u5730\u90e8\u7f72\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>44 \u5206\u5904\u5728\u4ec0\u4e48\u4f4d\u7f6eArtificial Analysis&#xff08;\u4e00\u5bb6\u72ec\u7acb\u8dd1\u6a21\u578b\u8bc4\u6d4b\u7684\u673a\u6784&#xff09;\u76ee\u524d\u7684\u6307\u6570\u7248\u672c\u662f v4.3.2\u3002Step 5 Preview \u7684 44 \u5206&#xff0c;\u5728\u5b83\u8ffd\u8e2a\u7684\u540c\u7c7b 200 \u4e2a\u6a21\u578b\u91cc\u6392\u7b2c 24\u3002\u300c\u5f00\u6e90\u524d\u4e09\u300d\u8fd9\u4e2a\u8bf4\u6cd5\u6bd4\u7684\u662f\u5f00\u6e90\u961f\u5217\u3002\u622a\u81f3 9 \u6708 18 \u65e5\u7684\u516c\u5f00\u699c\u5355\u6570\u636e&#xff0c;\u5f00\u6e90\u9635\u8425\u7684\u524d\u4e24\u540d\u662f\u667a\u8c31 GLM-5.3&#xff08;44.9 \u5206&#xff09;\u548c\u6708\u4e4b\u6697\u9762 Kimi K3&#xff08;43.8 \u5206&amp;#xf<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[66,53,89,149,50],"topic":[],"class_list":["post-110077","post","type-post","status-publish","format-standard","hentry","category-server","tag-ai","tag-git","tag-windows","tag-50"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u9636\u8dc3\u661f\u8fb0\u5f00\u6e90 Step 5 Preview\uff1a\u7a00\u758f MoE \u52a0\u6301\uff0c\u6210\u672c\u4ec5\u516b\u5206\u4e4b\u4e00 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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