{"id":767715,"date":"2026-04-23T17:25:39","date_gmt":"2026-04-23T09:25:39","guid":{"rendered":"https:\/\/www.alphaseek.cn\/?p=767715"},"modified":"2026-04-23T17:25:39","modified_gmt":"2026-04-23T09:25:39","slug":"kimi-k2-6-%e5%bc%80%e6%ba%90%e7%9b%b4%e9%80%bc-gpt-5-4%ef%bc%9a%e6%b6%a8-58-%e7%9a%84-api-%e5%ae%9a%e4%bb%b7%ef%bc%8c%e6%9a%b4%e9%9c%b2%e4%ba%86%e6%9c%88%e4%b9%8b%e6%9a%97%e9%9d%a2%e7%9a%84%e7%9c%9f","status":"publish","type":"post","link":"https:\/\/www.alphaseek.cn\/?p=767715","title":{"rendered":"Kimi K2.6 \u5f00\u6e90\u76f4\u903c GPT-5.4\uff1a\u6da8 58% \u7684 API \u5b9a\u4ef7\uff0c\u66b4\u9732\u4e86\u6708\u4e4b\u6697\u9762\u7684\u771f\u5b9e\u610f\u56fe"},"content":{"rendered":"

\"Kimi<\/p>\n

4\u670820\u65e5\u665a\u95f4\uff0c\u6708\u4e4b\u6697\u9762\uff08Moonshot AI\uff09\u6b63\u5f0f\u53d1\u5e03\u5e76\u5f00\u6e90\u6700\u65b0\u65d7\u8230\u6a21\u578b Kimi K2.6\u3002\u8be5\u6a21\u578b\u5728\u957f\u7a0b\u7f16\u7801\u3001Agent \u96c6\u7fa4\u8c03\u5ea6\u53ca\u81ea\u4e3b\u6267\u884c\u80fd\u529b\u4e0a\u5b9e\u73b0\u663e\u8457\u8dc3\u5347\uff0c\u591a\u9879\u57fa\u51c6\u6d4b\u8bd5\u6210\u7ee9\u6301\u5e73\u6216\u8d85\u8d8a GPT-5.4\u3001Claude Opus 4.6 \u7b49\u56fd\u9645\u9876\u5c16\u95ed\u6e90\u6a21\u578b\u3002<\/p>\n

\u4e00\u5468\u4e4b\u5185\uff0cAnthropic \u53d1\u5e03 Claude Opus 4.7\u3001\u963f\u91cc\u63a8\u51fa Qwen3.6-Max-Preview\uff0cDeepSeek V4 \u4ea6\u5c06\u4e8e\u4e0b\u65ec\u53d1\u5e03\u3002Kimi K2.6 \u5728\u8fd9\u4e2a\u5bc6\u96c6\u7a97\u53e3\u671f\u767b\u573a\uff0c\u662f\u6708\u4e4b\u6697\u9762\u5728 AI \u7ade\u4e89\u4ece\"\u7b97\u6cd5\u521b\u65b0<\/a>\"\u8f6c\u5411\"\u5de5\u7a0b\u5316\u843d\u5730\"\u5173\u952e\u8282\u70b9\u7684\u4e00\u6b21\u6218\u7565\u5c55\u793a\u3002<\/p>\n

\u957f\u7a0b\u7f16\u7801\uff1a\u4ece\u5355\u8f6e\u8865\u5168\u5230\u7cfb\u7edf\u7ea7\u4f18\u5316<\/strong><\/h2>\n

\"Kimi<\/p>\n

\u4e0e\u6b64\u524d\u5927\u6a21\u578b\u5728\u4ee3\u7801\u4efb\u52a1\u4e2d\u591a\u5c40\u9650\u4e8e\"\u5355\u8f6e\u8865\u5168\"\u6216\"\u7b80\u5355\u811a\u672c\u7f16\u5199\"\u4e0d\u540c\uff0cKimi K2.6 \u7684\u6838\u5fc3\u8fdb\u6b65\u5728\u4e8e\u5904\u7406\u590d\u6742\u7cfb\u7edf\u5de5\u7a0b\u7684\u80fd\u529b\u3002\u636e\u5b98\u65b9\u6280\u672f\u535a\u5ba2\u62ab\u9732\uff0cK2.6 \u53ef\u81ea\u4e3b\u5b8c\u6210\u4ece\u9700\u6c42\u5206\u6790\u3001\u4ee3\u7801\u5b9e\u73b0\u3001\u6d4b\u8bd5\u9a8c\u8bc1\u5230\u6027\u80fd\u4f18\u5316\u7684\u5168\u6d41\u7a0b\u95ed\u73af\uff0c\u5355\u6b21\u4efb\u52a1\u53ef\u4fee\u6539\u8d85\u8fc7 4000 \u884c\u4ee3\u7801\u3002<\/p>\n

\u4e24\u9879\u5b9e\u6d4b\u6848\u4f8b\u5c55\u73b0\u4e86\u8fd9\u4e00\u80fd\u529b\u3002<\/p>\n

\n

\u6848\u4f8b\u4e00\uff1aZig \u8bed\u8a00\u91cd\u5199\u63a8\u7406\u5f15\u64ce<\/strong><\/p>\n<\/blockquote>\n

\u5728 Mac \u672c\u5730\u90e8\u7f72 Qwen3.5-0.8B \u6a21\u578b\u65f6\uff0cK2.6 \u8de8\u8bed\u8a00\u4f7f\u7528\u5c0f\u4f17\u7684 Zig \u8bed\u8a00\u8fdb\u884c\u63a8\u7406\u4f18\u5316\uff0c\u5386\u7ecf 12 \u5c0f\u65f6\u8fde\u7eed\u8fd0\u884c\u30014000 \u4f59\u6b21\u5de5\u5177\u8c03\u7528\u53ca 14 \u8f6e\u8fed\u4ee3\uff0c\u5c06\u63a8\u7406\u541e\u5410\u91cf\u4ece 15 tokens\/s \u63d0\u5347\u81f3 193 tokens\/s\uff0c\u6700\u7ec8\u901f\u5ea6\u8d85\u8d8a\u4e3b\u6d41\u63a8\u7406\u6846\u67b6 LM Studio \u7ea6 20%\u3002<\/p>\n

\"Kimi<\/p>\n

\n

\u6848\u4f8b\u4e8c\uff1a8 \u5e74\u5f15\u64ce\u7684\u6027\u80fd\u91cd\u6784<\/strong><\/p>\n<\/blockquote>\n

\u5728\u5bf9\u62e5\u6709 8 \u5e74\u5386\u53f2\u7684\u5f00\u6e90\u91d1\u878d\u64ae\u5408\u5f15\u64ce exchange-core \u7684\u4f18\u5316\u4e2d\uff0cK2.6 \u5728 13 \u5c0f\u65f6\u7684\u6267\u884c\u8fc7\u7a0b\u4e2d\u8fed\u4ee3\u4e86 12 \u79cd\u4f18\u5316\u7b56\u7565<\/a>\uff0c\u53d1\u8d77 1000 \u4f59\u6b21\u5de5\u5177\u8c03\u7528\uff0c\u901a\u8fc7\u5206\u6790 CPU \u4e0e\u5185\u5b58\u706b\u7130\u56fe\u5b9a\u4f4d\u9690\u85cf\u74f6\u9888\uff0c\u5c06\u6838\u5fc3\u7ebf\u7a0b\u62d3\u6251\u4ece 4ME+2RE \u91cd\u6784\u4e3a 2ME+1RE\u3002\u5373\u4fbf\u5f15\u64ce\u5df2\u63a5\u8fd1\u6027\u80fd\u6781\u9650\uff0cK2.6 \u4ecd\u5c06\u4e2d\u4f4d\u541e\u5410\u91cf\u4ece 0.43 \u63d0\u5347\u81f3 1.24 MT\/s\uff08\u63d0\u5347 185%\uff09\uff0c\u5cf0\u503c\u541e\u5410\u91cf\u4ece 1.23 \u63d0\u5347\u81f3 2.86 MT\/s\uff08\u63d0\u5347 133%\uff09\u3002<\/p>\n

\"Kimi<\/p>\n

\"\u8fd9\u4e0d\u518d\u662f\u7b80\u5355\u7684'\u505a\u9898'\uff0c\u800c\u662f\u5728\u89e3\u51b3\u771f\u5b9e\u7684\u5de5\u7a0b\u95ee\u9898\u3002\"\u591a\u4f4d\u5f00\u53d1\u8005\u5728\u4f53\u9a8c\u540e\u53cd\u9988\uff0cK2.6 \u5df2\u5177\u5907\u4ece\u7f16\u7801\u5230\u524d\u7aef\u8bbe\u8ba1\u518d\u5230\u5168\u6808\u4ea4\u4ed8\u7684\u4e13\u4e1a\u7ea7 Web \u5e94\u7528\u6784\u5efa\u80fd\u529b\u3002\u5728\u5b98\u65b9\u7684 Code-Driven Design \u5185\u90e8\u8bc4\u6d4b\u4e2d\uff0cK2.6 \u5728\u843d\u5730\u9875\u6784\u5efa\u3001\u5168\u6808\u5e94\u7528\u5f00\u53d1\u7b49\u56db\u7c7b\u4efb\u52a1\u4e0a\u8868\u73b0\u63a5\u8fd1 Google AI Studio\u3002<\/p>\n

\u57fa\u51c6\u6d4b\u8bd5\uff1a\u7f16\u7801\u9886\u5148\uff0c\u63a8\u7406\u4ecd\u6709\u5dee\u8ddd<\/strong><\/h2>\n

\u5b98\u65b9\u516c\u5e03\u7684\u57fa\u51c6\u6d4b\u8bd5\u6570\u636e\u663e\u793a\uff0cK2.6 \u5728\u5de5\u7a0b\u7c7b\u4efb\u52a1\u4e2d\u5168\u9762\u9886\u5148\uff0c\u4f46\u7eaf\u63a8\u7406\u80fd\u529b\u4e0e\u56fd\u9645\u9876\u5c16\u95ed\u6e90\u6a21\u578b\u4ecd\u6709\u8ddd\u79bb\u3002<\/p>\n

\"Kimi<\/p>\n

\u7f16\u7801\u4e0e Agent \u4efb\u52a1\u65b9\u9762\uff0cK2.6 \u5728 SWE-Bench Pro \u4e2d\u53d6\u5f97 58.6%\uff0c\u9886\u5148\u6240\u6709\u53c2\u4e0e\u5bf9\u6bd4\u7684\u6a21\u578b\uff1b\u5728 Terminal-Bench 2.0 \u4e2d\u4ee5 66.7% \u8d85\u8d8a GPT-5.4 \u548c Claude Opus 4.6 \u7684 65.4%\uff1b\u5728\u535a\u58eb\u7ea7\u96be\u5ea6\u7684 Humanity's Last Exam\uff08\u5de5\u5177\u589e\u5f3a\u7248\uff09\u4e2d\u4ee5 54.0% \u4f4d\u5c45\u7b2c\u4e00\uff1bDeepSearchQA \u7684 F1 \u5206\u6570\u8fbe 92.5%\uff0c\u5927\u5e45\u9886\u5148 GPT-5.4 \u7684 78.6%\u3002<\/p>\n

\u7136\u800c\uff0c\u5728\u4e0d\u4f7f\u7528\u5de5\u5177\u7684\u7eaf\u63a8\u7406\u6d4b\u8bd5\u4e2d\uff0cK2.6 \u7684\u77ed\u677f\u540c\u6837\u660e\u663e\u3002HLE-Full \u4ec5\u5f97 34.7%\uff0c\u4f4e\u4e8e GPT-5.4 \u7684 39.8% \u548c Gemini 3.1 Pro \u7684 44.4%\uff1b\u5728\u89c6\u89c9\u63a8\u7406\u7c7b\u57fa\u51c6\u5982 MathVision\uff0887.4% vs GPT-5.4 \u7684 92.0%\uff09\u4e0a\uff0c\u5dee\u8ddd\u540c\u6837\u5b58\u5728\u3002\u8fd9\u5957\u57fa\u51c6\u6d4b\u8bd5\u63cf\u7ed8\u4e86\u4e00\u4e2a\u6e05\u6670\u7684\u8f6e\u5ed3\uff1aK2.6 \u7684\u5de5\u7a0b\u5316\u4e0e\u5de5\u5177\u8c03\u5ea6\u80fd\u529b\u5df2\u8dfb\u8eab\u5168\u7403\u7b2c\u4e00\u68af\u961f\uff0c\u4f46\u5728\u7eaf\u7cb9\u7684\u77e5\u8bc6\u63a8\u7406\u548c\u89c6\u89c9\u7406\u89e3\u5c42\u9762\uff0c\u4ecd\u9700\u6301\u7eed\u8ffd\u8d76\u3002<\/p>\n

Agent \u96c6\u7fa4\uff1a300 \u5b50 Agent \u5e76\u884c\uff0c\u534f\u4f5c\u6b65\u9aa4\u4e09\u500d\u6269\u5c55<\/strong><\/h2>\n

K2.6 \u7684 Agent \u96c6\u7fa4\u67b6\u6784\u76f8\u6bd4 K2.5 \u5b9e\u73b0\u4e86\u4e09\u500d\u91cf\u7ea7\u7684\u6269\u5c55——\u5b50 Agent \u4ece 100 \u4e2a\u63d0\u5347\u81f3 300 \u4e2a\uff0c\u534f\u4f5c\u6b65\u9aa4\u4ece 1500 \u6b65\u6269\u5c55\u81f3 4000 \u6b65\u3002\u8fd9\u79cd\u6a2a\u5411\u6269\u5c55\u7684\"\u7fa4\u4f53\u667a\u80fd\"\u67b6\u6784\u4f7f K2.6 \u80fd\u591f\u5728\u4e00\u6b21\u81ea\u4e3b\u8fd0\u884c\u4e2d\u5e76\u884c\u5b8c\u6210\u6df1\u5ea6\u641c\u7d22\u3001\u6587\u6863\u5206\u6790\u3001\u7f51\u9875\u751f\u6210\u3001PPT \u5236\u4f5c\u548c\u8868\u683c\u8f93\u51fa\u7684\u7aef\u5230\u7aef\u4ea4\u4ed8\u3002<\/p>\n

\u6848\u4f8b\uff1a\u5929\u4f53\u8bba\u6587\u4e00\u952e\u8f6c\u5316\u4e3a\u5b66\u672f\u6280\u80fd<\/strong><\/p>\n

K2.6 \u9a71\u52a8\u7684 Agent \u96c6\u7fa4\u5c06\u4e00\u7bc7\u5929\u4f53\u7269\u7406\u8bba\u6587\u8f6c\u5316\u4e3a\u53ef\u590d\u7528\u7684\u5b66\u672f\u6280\u80fd\uff0c\u6700\u7ec8\u4ea7\u51fa\u4e00\u4efd 7000 \u5b57\u7684\u7814\u7a76\u8bba\u6587\u3001\u4e00\u4e2a\u5305\u542b 2 \u4e07\u591a\u6761\u6570\u636e\u8bb0\u5f55\u7684\u7ed3\u6784\u5316\u6570\u636e\u96c6\u53ca 14 \u5f20\u5929\u6587\u7ea7\u56fe\u8868\u3002\u4e0a\u4f20\u7684\u6587\u6863\u683c\u5f0f\u4e0d\u53d7\u9650——PDF\u3001\u8868\u683c\u3001PPT\u3001Word \u5747\u53ef\u8f6c\u5316\u4e3a\u6280\u80fd\u8d44\u4ea7\u3002<\/p>\n

\"Kimi<\/p>\n

\u5b98\u65b9\u6848\u4f8b\u89c6\u9891\u622a\u56fe<\/p>\n

\u5728\u62db\u8058\u573a\u666f\u4e2d\uff0cAgent \u96c6\u7fa4\u53ef\u57fa\u4e8e\u4e0a\u4f20\u7684\u7b80\u5386\u81ea\u52a8\u751f\u6210 100 \u4e2a\u5b50 Agent\uff0c\u5206\u522b\u4e3a\u7528\u6237\u5339\u914d 100 \u4e2a\u52a0\u5dde\u5c97\u4f4d\u5e76\u5b9a\u5236\u5316\u7b80\u5386\u3002\u5b98\u65b9\u535a\u5ba2\u8fd8\u5c55\u793a\u4e86 30 \u5bb6\u96f6\u552e\u95e8\u5e97\u7684\u672c\u5730\u5316\u9875\u9762\u751f\u6210\u6848\u4f8b\uff0c300 \u4e2a\u5b50 Agent \u5404\u81ea\u5b8c\u6210\u4ece\u6587\u6848\u64b0\u5199\u5230\u843d\u5730\u9875\u6784\u5efa\u7684\u5168\u6d41\u7a0b\u3002<\/p>\n

\u66f4\u503c\u5f97\u5173\u6ce8\u7684\u662f Claw Groups \u7684\u7814\u7a76\u9884\u89c8\u3002\u8fd9\u662f\u4e00\u4e2a\u5f02\u6784 Agent \u751f\u6001\uff0c\u5141\u8bb8\u6765\u81ea\u4e0d\u540c\u8bbe\u5907\u3001\u8fd0\u884c\u4e0d\u540c\u6a21\u578b\u3001\u643a\u5e26\u5404\u81ea\u5de5\u5177\u94fe\u7684 Agent \u4e0e\u4eba\u7c7b\u4f5c\u4e3a\u771f\u6b63\u7684\u534f\u4f5c\u8005\u5171\u540c\u8fd0\u884c\u3002K2.6 \u5728\u5176\u4e2d\u62c5\u4efb\u81ea\u9002\u5e94\u534f\u8c03\u8005\uff0c\u6839\u636e\u6280\u80fd\u753b\u50cf\u52a8\u6001\u5339\u914d\u4efb\u52a1\uff0c\u5e76\u5728 Agent \u6545\u969c\u6216\u5361\u987f\u65f6\u81ea\u52a8\u91cd\u65b0\u5206\u914d\u3002<\/p>\n

\u6708\u4e4b\u6697\u9762\u900f\u9732\uff0c\u5185\u90e8\u56e2\u961f\u5df2\u4f7f\u7528 Claw Groups \u8fd0\u884c\u7aef\u5230\u7aef\u7684\u5185\u5bb9\u751f\u4ea7\u548c\u8425\u9500\u6d3b\u52a8\u3002\u8fd9\u4e00\u5e03\u5c40\u663e\u793a\u51fa\u6708\u4e4b\u6697\u9762\u6b63\u8bd5\u56fe\u4ece\u5355\u4e00\u6a21\u578b\u63d0\u4f9b\u5546\u5411 Agent \u751f\u6001\u57fa\u7840\u8bbe\u65bd\u670d\u52a1\u5546\u8f6c\u578b\u3002<\/p>\n

\u5546\u4e1a\u5316\uff1a\u8f93\u5165\u6210\u672c\u4e0a\u6da8 58%<\/strong><\/h2>\n

\u5728\u5546\u4e1a\u5c42\u9762\uff0c\u4ee5\u7f8e\u5143\u8ba1\u4ef7\uff0cKimi API K2.6 \u6bcf\u767e\u4e07 Token \u7684\u8f93\u5165\u4ef7\u683c\uff08\u7f13\u5b58\u672a\u547d\u4e2d\uff09\u4e3a $0.95\uff0c\u8f83 K2.5 \u7684 $0.60 \u4e0a\u6da8\u7ea6 58%\uff1b\u8f93\u51fa\u4ef7\u683c\u4e3a $4.00\uff0c\u8f83 K2.5 \u7684 $3.00 \u4e0a\u6da8\u7ea6 33%\uff1b\u7f13\u5b58\u547d\u4e2d\u4ef7\u683c\u5219\u4e3a $0.16\/MTok\u3002\u4e0a\u4e0b\u6587\u7a97\u53e3\u4e3a 262,144 tokens\uff08\u7ea6 256K\uff09\u3002<\/p>\n

\"Kimi<\/p>\n

\u4ef7\u683c\u8c03\u6574\u80cc\u540e\uff0c\u662f\u957f\u7a0b\u7f16\u7801\u4e0e Agent \u81ea\u4e3b\u8fd0\u884c\u5e26\u6765\u7684 Token \u6d88\u8017\u8fdc\u8d85\u4f20\u7edf\u5bf9\u8bdd\u6a21\u578b\u3002K2.6 \u652f\u6301\u6700\u957f 5 \u5929\u7684\u6301\u7eed\u81ea\u4e3b\u8fd0\u884c\uff0c\u5b98\u65b9\u5185\u90e8\u56e2\u961f\u5df2\u4f7f\u7528 K2.6 \u9a71\u52a8\u7684 Agent \u72ec\u7acb\u8fd0\u884c 5 \u5929\uff0c\u5b8c\u6210\u76d1\u63a7\u3001\u4e8b\u4ef6\u54cd\u5e94\u548c\u7cfb\u7edf\u8fd0\u7ef4\u4efb\u52a1\u3002\u8fd9\u610f\u5473\u7740\u5355\u4f4d\u4efb\u52a1\u4e2d\u7684 Token \u6d88\u8017\u91cf\u8fdc\u975e\u666e\u901a API \u8c03\u7528\u53ef\u6bd4\u3002<\/p>\n

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\u5728 Meta \u53d1\u5e03\u95ed\u6e90\u65d7\u8230 Muse Spark \u7684\u884c\u4e1a\u80cc\u666f\u4e0b\uff0c\u6708\u4e4b\u6697\u9762\u575a\u6301\u5c06 K2.6 \u5168\u9762\u5f00\u6e90\u3002<\/p>\n

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\u968f\u7740 DeepSeek V4\u3001\u963f\u91cc Qwen3.6 \u7b49\u91cd\u78c5\u6a21\u578b\u7684\u96c6\u4f53\u767b\u573a\uff0c2026 \u5e74\u5927\u6a21\u578b\u884c\u4e1a\u7684\u6d17\u724c\u5df2\u7136\u52a0\u901f\u3002K2.6 \u7684\u57fa\u51c6\u6d4b\u8bd5\u6210\u7ee9\u8bc1\u660e\uff0c\u56fd\u4ea7\u5f00\u6e90\u6a21\u578b\u5df2\u5728\u5de5\u7a0b\u5316\u573a\u666f\u4e2d\u7ad9\u7a33\u7b2c\u4e00\u68af\u961f\uff0c\u4f46\u5728\u7eaf\u63a8\u7406\u548c\u89c6\u89c9\u7406\u89e3\u80fd\u529b\u4e0a\u4ecd\u6709\u8ffd\u8d76\u7a7a\u95f4\u3002\u5f00\u6e90\u793e\u533a\u7684\u7e41\u8363\u4e0e\u5546\u4e1a\u5316\u53d8\u73b0\u4e4b\u95f4\u7684\u5e73\u8861\uff0c\u4ecd\u662f\u6708\u4e4b\u6697\u9762\u4e43\u81f3\u6574\u4e2a\u884c\u4e1a\u63a5\u4e0b\u6765\u5fc5\u987b\u9762\u5bf9\u7684\u957f\u671f\u8003\u9898\u3002\uff08\u672c\u6587\u9996\u53d1\u949b\u5a92\u4f53<\/a>APP\uff0c\u4f5c\u8005 | AGI Signal\uff0c\u7f16\u8f91 | \u79e6\u806a\u6167\uff09<\/strong><\/p>\n

(\u6765\u6e90\uff1a\u949b\u5a92\u4f53)<\/p>\n","protected":false},"excerpt":{"rendered":"

4\u670820\u65e5\u665a\u95f4\uff0c\u6708\u4e4b\u6697\u9762\uff08Moonshot AI\uff09\u6b63\u5f0f\u53d1\u5e03\u5e76\u5f00\u6e90\u6700\u65b0\u65d7\u8230\u6a21\u578b Kimi K2.6\u3002\u8be5\u6a21\u578b\u5728\u957f\u7a0b […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[6],"tags":[271,252,280,88],"views":3,"_links":{"self":[{"href":"https:\/\/www.alphaseek.cn\/index.php?rest_route=\/wp\/v2\/posts\/767715"}],"collection":[{"href":"https:\/\/www.alphaseek.cn\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.alphaseek.cn\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.alphaseek.cn\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.alphaseek.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=767715"}],"version-history":[{"count":0,"href":"https:\/\/www.alphaseek.cn\/index.php?rest_route=\/wp\/v2\/posts\/767715\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.alphaseek.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=767715"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.alphaseek.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=767715"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.alphaseek.cn\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=767715"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}