{"id":110139,"date":"2026-09-26T08:01:01","date_gmt":"2026-09-26T00:01:01","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/110139.html"},"modified":"2026-09-26T08:01:01","modified_gmt":"2026-09-26T00:01:01","slug":"gpt-6-sol-luna-astra%e9%80%89%e5%9e%8b%ef%bc%9a%e4%bb%b7%e6%a0%bc%e6%99%ba%e5%8a%9b%e5%9c%ba%e6%99%af%e5%af%b9%e7%85%a7%e8%a1%a8","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/110139.html","title":{"rendered":"GPT-6 Sol\/Luna\/Astra\u9009\u578b\uff1a\u4ef7\u683c\u667a\u529b\u573a\u666f\u5bf9\u7167\u8868"},"content":{"rendered":"

GPT-6 Sol \/ Luna \/ Astra \u600e\u4e48\u9009：\u667a\u529b\u3001\u4ef7\u683c\u3001\u4e0a\u4e0b\u6587\u4e0e\u573a\u666f\u5bf9\u7167（\u9644 5.6 Luna）<\/h2>\n

OpenAI \u5728 9 \u6708\u628a GPT-6 \u62c9\u6210\u4e00\u6761\u300c\u80fd\u529b\u2014\u6210\u672c\u300d\u66f2\u7ebf：Astra \u625b\u65d7\u8230，Sol \/ Luna \u628a\u540c\u4ee3\u80fd\u529b\u644a\u5230\u66f4\u4f4e\u5355\u4ef7\u3002\u540e\u7aef\u6700\u5e38\u8e29\u5751\u7684\u4e0d\u662f\u300c\u54ea\u4e2a\u6700\u5f3a\u300d，\u800c\u662f\u6309\u4efb\u52a1\u9519\u914d\u9884\u7b97\u3002\u4e0b\u9762\u53ea\u62a0\u5b98\u65b9\u6587\u6863\u548c\u80fd\u6838\u9a8c\u7684\u7b2c\u4e09\u65b9\u8bc4\u6d4b，\u6574\u7406\u4e00\u5f20\u80fd\u76f4\u63a5\u843d\u5730\u7684\u9009\u578b\u8868\u3002<\/p>\n

\u68c0\u7d22\u65e5：2026-09-23（Asia\/Shanghai）\u3002\u4ef7\u683c\u53d6 API Standard \u77ed\u4e0a\u4e0b\u6587（USD \/ 1M tokens）\u3002\u6587\u4e2d\u4e0d\u5199\u300cGPT-6 Terra\u300d\u2014\u2014\u8be5\u578b\u53f7\u5b98\u65b9\u6a21\u578b\u9875 404，\u5c5e\u4e0d\u5b58\u5728\u4ea7\u54c1\u3002<\/p>\n

\u4e00\u3001\u5148\u770b\u4e00\u5f20\u4ef7\u5dee\u56fe<\/h3>\n

\"\u4ef7\u683c\u5bf9\u6bd4\" \u56db\u4e2a\u578b\u53f7\u7684\u4e0a\u4e0b\u6587\u7a97\u53e3\u90fd\u662f 1.05M\u3001\u6700\u5927\u8f93\u51fa 128K\u3002\u5dee\u5f02\u4e3b\u8981\u5728\u5355\u4ef7\u548c\u5b98\u65b9\u5b9a\u4f4d，\u4e0d\u662f\u300c\u8c01\u4e0a\u4e0b\u6587\u66f4\u5927\u300d\u3002<\/p>\n\n\u578b\u53f7\u53d1\u5e03\u4e0a\u4e0b\u6587Input \/ Output（USD\/1M）\u5b98\u65b9\u6587\u6863<\/tr>\n\n\n\n\n\n
GPT-6 Astra<\/td>\n2026-09-03<\/td>\n1.05M<\/td>\n$10 \/ $50<\/td>\n\u6a21\u578b\u9875 \u00b7 \u516c\u544a<\/td>\n<\/tr>\n
GPT-6 Sol<\/td>\n2026-09-22<\/td>\n1.05M<\/td>\n$2 \/ $10<\/td>\n\u6a21\u578b\u9875 \u00b7 Sol\/Luna \u516c\u544a<\/td>\n<\/tr>\n
GPT-6 Luna<\/td>\n2026-09-22<\/td>\n1.05M<\/td>\n$0.10 \/ $0.50<\/td>\n\u6a21\u578b\u9875<\/td>\n<\/tr>\n
GPT-5.6 Luna<\/td>\n\u5bb6\u65cf 2026-07-09<\/td>\n1.05M<\/td>\n$0.20 \/ $1.20<\/td>\n\u6a21\u578b\u9875 \u00b7 5.6 \u5bb6\u65cf<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u5b9a\u4ef7\u603b\u8868：OpenAI API Pricing\u3002\u76f8\u5bf9 GPT-5.6 \u4fc3\u9500\u4ef7，\u5b98\u65b9\u660e\u786e Sol \/ Luna \u8f93\u5165\u4e0e\u8f93\u51fa\u5747\u964d\u7ea6 50%（5.6 Sol $4\/$20 \u2192 6 Sol $2\/$10；5.6 Luna $0.20\/$1.20 \u2192 6 Luna $0.10\/$0.50）\u3002<\/p>\n

\u8865\u5145\u8ba1\u8d39\u7ec6\u5219（Sol \/ Luna，\u89c1\u6a21\u578b\u9875）：<\/p>\n

    \n
  • \u957f\u4e0a\u4e0b\u6587（\u8f93\u5165 >272K）：Input\/Cache \u8bfb \u00d72，Output \u00d71.5<\/li>\n
  • Cached input \u66f4\u4fbf\u5b9c（Sol Cached $0.20；Luna Cached $0.01）<\/li>\n
  • Batch \/ Flex \u7ea6 50%；Fast \u6863\u7ea6 \u00d72<\/li>\n<\/ul>\n

    Astra \u4ecd\u662f\u300cmost capable\u300d\u65d7\u8230；\u5176 reasoning.effort \u6ca1\u6709 none（low\u2192max），\u9002\u5408\u4e0d\u59a5\u534f\u8d28\u91cf\u7684\u7aef\u5230\u7aef\u4efb\u52a1\u3002\u5b89\u5168\u6982\u8ff0\u53ef\u4e00\u5e76\u9605\u8bfb\u3002<\/p>\n

    \u4e8c\u3001\u80fd\u529b\u600e\u4e48\u8bfb：\u5b98\u65b9\u5b9a\u4f4d + \u7b2c\u4e09\u65b9\u8fb9\u754c<\/h3>\n

    \u5b98\u65b9\u600e\u4e48\u8bf4<\/h4>\n\n\u578b\u53f7API id\u5b98\u65b9\u4e00\u53e5\u8bdd\u5b9a\u4f4d\u5178\u578b\u5165\u53e3<\/tr>\n\n\n\n\n\n
    Astra<\/td>\ngpt-6-astra<\/td>\nmost capable<\/td>\n\u6700\u96be\u7814\u7a76 \/ computer use \/ \u65d7\u8230 Agent<\/td>\n<\/tr>\n
    Sol<\/td>\ngpt-6-sol<\/td>\ncomplex coding and agentic workflows<\/td>\nChatGPT Work \/ Codex（\u4ed8\u8d39\u6863）+ API<\/td>\n<\/tr>\n
    Luna(6)<\/td>\ngpt-6-luna<\/td>\nmost efficient for focused, high-volume tasks<\/td>\n\u9ad8\u901a\u91cf；Free\/Go \u53ef\u684c\u9762\u7528 Luna<\/td>\n<\/tr>\n
    5.6 Luna<\/td>\ngpt-5.6-luna<\/td>\n\u4e0a\u4e00\u4ee3\u9ad8\u6548\u6863<\/td>\n\u65e7\u6808\u57fa\u7ebf\u3001\u8fc1\u79fb\u5bf9\u7167<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    \u6765\u6e90：Sol & Luna \u4ecb\u7ecd\u3001\u793e\u533a\u516c\u544a\u3002<\/p>\n

    \u53ef\u7528\u6027\u7ea2\u7ebf：Sol \/ Luna \u5c1a\u672a\u8fdb\u5165 Chat，\u53ea\u5728 Work \/ Codex \/ API；Enterprise token \u8ba1\u8d39\u89c1 ChatGPT Rate Card\u3002\u8ba2\u9605\u5404\u6863\u300c\u6708\u8d39\u989d\u5ea6\u300d\u672c\u6b21\u672a\u505a\u9010\u6863\u6838\u5b9e，\u9009\u578b\u4ee5 API \u5355\u4ef7\u4e3a\u51c6\u3002<\/p>\n

    \u7b2c\u4e09\u65b9：\u522b\u5199\u6210\u300c\u5168\u9762\u78be\u538b\u300d<\/h4>\n

    Artificial Analysis（2026-09-22） \u7684\u8981\u70b9，\u66f4\u9002\u5408\u540e\u7aef\u505a\u9884\u7b97：<\/p>\n

      \n
    • Sol \/ Luna \u63a8\u7684\u662f\u6210\u672c\u6548\u7387\u524d\u6cbf，\u667a\u529b\u6307\u6570\u76f8\u5bf9 5.6 \u5927\u81f4\u6301\u5e73，\u4e0d\u5b9c\u5199\u300c6 \u5168\u9762\u78be\u538b 5.6\u300d<\/li>\n
    • \u76f8\u5bf9 5.6 Sol，Sol(6) \u4efb\u52a1\u6210\u672c\u7ea6\u51cf\u534a\u91cf\u7ea7<\/li>\n
    • Luna(6) Intelligence Index max \u7ea6 37（\u4e0e 5.6 Luna \u540c\u5206）；Coding Agent \u7565\u964d；\u4efb\u52a1\u6210\u672c\u7ea6 $0.07 vs \u524d\u4ee3\u7ea6 $0.18<\/li>\n<\/ul>\n

      \u5b98\u65b9\u81ea\u8bc4（AutomationBench\u3001FrontierCode\u3001DeepSWE\u3001OSWorld \u7b49）\u6570\u5b57\u591a，\u4e14\u591a\u4e3a\u81ea\u5bb6\u73af\u5883\/API\u3002\u672c\u6587\u4e0d\u8f6c\u8ff0\u5177\u4f53\u767e\u5206\u6bd4\u4f5c\u72ec\u7acb\u7ed3\u8bba；\u82e5\u8981\u5f15\u7528，\u8bf7\u56de\u5b98\u65b9\u516c\u544a\u539f\u6587\u6838\u5bf9\u3002<\/p>\n

      \u4e09\u3001\u573a\u666f\u51b3\u7b56：xxx \u60c5\u51b5\u4e0b\u7528\u8c01<\/h3>\n

      \"\u573a\u666f\u51b3\u7b56\"<\/p>\n\n\u60c5\u51b5\u5efa\u8bae\u578b\u53f7\u4f9d\u636e<\/tr>\n\n\n\n\n\n\n
      \u6700\u96be\u63a8\u7406 \/ \u7814\u7a76 \/ computer use，\u8981\u65d7\u8230\u7aef\u5230\u7aef<\/td>\nGPT-6 Astra<\/td>\n\u5b98\u65b9 most capable；$10\/$50<\/td>\n<\/tr>\n
      \u590d\u6742\u7f16\u7801\u4e0e Agent \u5de5\u4f5c\u6d41，\u8981\u80fd\u529b\u4e0e\u4ef7\u5e73\u8861<\/td>\nGPT-6 Sol<\/td>\n\u5b98\u65b9\u5b9a\u4f4d + $2\/$10；\u76f8\u5bf9 5.6 Sol \u7ea6\u534a\u4ef7<\/td>\n<\/tr>\n
      \u9ad8\u901a\u91cf\u6458\u8981\u3001\u62bd\u53d6\u3001\u5206\u7c7b\u3001\u5feb\u95ee\u5feb\u7b54，\u6781\u81f4\u6210\u672c<\/td>\nGPT-6 Luna<\/td>\n\u5b98\u65b9 efficient high-volume；$0.10\/$0.50；Free\/Go \u684c\u9762\u53ef\u7528<\/td>\n<\/tr>\n
      \u4ecd\u8dd1\u65e7\u6808，\u6216\u9700\u8981\u4e0e\u4e0a\u4e00\u4ee3\u5bf9\u7167\u7684\u57fa\u7ebf<\/td>\nGPT-5.6 Luna<\/td>\n\u4ecd\u5728\u5b9a\u4ef7\u8868；$0.20\/$1.20<\/td>\n<\/tr>\n
      \u542c\u8bf4\u300cGPT-6 Terra\u300d\u60f3\u8bd5\u7528<\/td>\n\u4e0d\u8981\u9009<\/td>\n\u6a21\u578b\u9875 404；\u5b58\u5728\u7684\u662f GPT-5.6 Terra<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      \u4e00\u53e5\u8bdd\u8bb0\u5fc6：<\/p>\n

        \n
      • \u94b1\u51e0\u4e4e\u4e0d\u662f\u95ee\u9898\u3001\u7ed3\u679c\u5fc5\u987b\u6700\u597d \u2192 Astra<\/li>\n
      • \u5199\u4ee3\u7801 \/ \u8dd1 Agent\u3001\u8981\u6027\u4ef7\u6bd4 \u2192 Sol<\/li>\n
      • \u6d41\u6c34\u7ebf\u704c\u91cf\u3001\u6bcf\u6761\u8bf7\u6c42\u90fd\u8981\u4fbf\u5b9c \u2192 Luna(6)<\/li>\n
      • \u6682\u65f6\u4e0d\u8fc1\u3001\u53ea\u505a A\/B \u2192 5.6 Luna<\/li>\n<\/ul>\n

        \u56db\u3001\u6309 reasoning.effort \u5bf9\u7167：\u601d\u8003\u5f3a\u5ea6 \u2260 \u4e0a\u4e0b\u6587\u7a97\u53e3<\/h3>\n

        \u5148\u62c6\u5f00\u4e24\u4e2a\u6982\u5ff5：<\/p>\n

          \n
        • \u4e0a\u4e0b\u6587\u7a97\u53e3：\u56db\u4e2a\u578b\u53f7\u90fd\u662f 1.05M，\u662f\u300c\u4e00\u6b21\u80fd\u585e\u591a\u5c11 tokens\u300d\u7684\u4e0a\u9650\u3002<\/li>\n
        • \u601d\u8003\u5f3a\u5ea6：API \u91cc\u7684 reasoning.effort，\u51b3\u5b9a\u94fe\u5f0f\u63a8\u7406\u82b1\u591a\u5c11\u7b97\u529b\u3002\u628a\u300c\u7a97\u53e3\u5927\u300d\u5f53\u6210\u300c\u60f3\u5f97\u6df1\u300d\u662f\u5e38\u89c1\u8bef\u8bfb\u3002<\/li>\n<\/ul>\n

          \u5b98\u65b9\u6863\u4f4d\u89c1 Reasoning guide\u3002\u6ca1\u6709 ultra \u8fd9\u4e00\u6863\u2014\u2014\u522b\u628a\u793e\u533a\u53e3\u5934\u7985\u5199\u8fdb\u914d\u7f6e\u3002<\/p>\n\n\u578b\u53f7\u652f\u6301\u7684 effort\u5907\u6ce8<\/tr>\n\n\n\n
          Sol \/ Luna<\/td>\nnone \u2192 low \u2192 medium（\u9ed8\u8ba4）\u2192 high \u2192 xhigh \u2192 max<\/td>\n\u6a21\u578b\u9875\u679a\u4e3e<\/td>\n<\/tr>\n
          Astra<\/td>\n\u65e0 none（\u8bbe none \u2192 HTTP 400）；low\u2192max<\/td>\n\u65d7\u8230\u59cb\u7ec8\u5e26\u63a8\u7406<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

          \u53e6\u6709\u6b63\u4ea4\u7ef4\u5ea6 reasoning.mode：standard（\u9ed8\u8ba4）\/ pro（\u66f4\u8d35\u66f4\u6162），\u4e0d\u8981\u548c effort \u6df7\u6210\u4e00\u4e2a\u65cb\u94ae\u3002<\/p>\n

          \u5b98\u65b9\u6863\u4f4d\u8bed\u4e49（\u6458\u8981）<\/h4>\n\neffort\u9002\u7528（\u5b98\u65b9\u6458\u8981）<\/tr>\n\n\n\n\n\n\n\n
          none<\/td>\n\u6781\u4f4e\u5ef6\u8fdf\u3001\u5206\u7c7b\/\u62bd\u53d6\u7b49，\u4e0d\u9700\u8981\u94fe\u5f0f\u63a8\u7406<\/td>\n<\/tr>\n
          low<\/td>\n\u8981\u5de5\u5177\/\u591a\u6b65，\u4f46\u4ecd\u504f\u901f\u5ea6\u4e0e\u6210\u672c<\/td>\n<\/tr>\n
          medium<\/td>\n\u9ed8\u8ba4；\u8d28\u91cf\u4e0e\u6210\u672c\u5e73\u8861；\u591a\u6570 agent\/\u7f16\u7801\u5165\u53e3<\/td>\n<\/tr>\n
          high<\/td>\n\u96be\u63a8\u7406\u3001\u590d\u6742\u8c03\u8bd5；\u8d28\u91cf\u4f18\u5148\u4e8e\u5ef6\u8fdf<\/td>\n<\/tr>\n
          xhigh<\/td>\n\u957f\u8dd1 agent \/ \u6df1\u7814；\u9700\u7528 eval \u8bc1\u660e\u6536\u76ca\u76d6\u4f4f\u6210\u672c\u4e0e\u5ef6\u8fdf<\/td>\n<\/tr>\n
          max<\/td>\n\u6700\u96be\u4efb\u52a1；\u82e5\u5df2\u5728 xhigh，\u518d\u8bc4\u4f30 max \u662f\u5426\u771f\u66f4\u5f3a<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

          AA Intelligence Index \u6309 effort（\u7b2c\u4e09\u65b9）<\/h4>\n

          Sol（AA \u53d1\u5e03\u9875）：<\/p>\n\neffortIndex\u5907\u6ce8<\/tr>\n\n\n\n\n\n\n\n
          max<\/td>\n48<\/td>\n\u6700\u9ad8<\/td>\n<\/tr>\n
          xhigh<\/td>\n44<\/td>\n<\/td>\n<\/tr>\n
          high<\/td>\n43<\/td>\n<\/td>\n<\/tr>\n
          medium<\/td>\n40<\/td>\n<\/td>\n<\/tr>\n
          low<\/td>\n34<\/td>\n\u5355\u4efb\u52a1\u6210\u672c\u7ea6 $0.13（AA）<\/td>\n<\/tr>\n
          Non-reasoning（\u2248none）<\/td>\n28<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

          Luna（AA \u53d1\u5e03\u9875）：<\/p>\n\neffortIndex\u5907\u6ce8<\/tr>\n\n\n\n\n\n\n\n
          max<\/td>\n37<\/td>\n\u6700\u9ad8<\/td>\n<\/tr>\n
          xhigh<\/td>\n34<\/td>\n<\/td>\n<\/tr>\n
          high<\/td>\n32<\/td>\n<\/td>\n<\/tr>\n
          medium<\/td>\n29<\/td>\n<\/td>\n<\/tr>\n
          low<\/td>\n21<\/td>\n\u5355\u4efb\u52a1\u6210\u672c\u7ea6 $0.0045（AA）<\/td>\n<\/tr>\n
          Non-reasoning<\/td>\n18<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

          \u901f\u5ea6\u91cf\u7ea7（AA，tokens\/s）：Sol low\u2248129 \/ max\u2248115；Luna low\u2248176 \/ max\u2248154\u3002\u62ac effort \u6362\u667a\u529b，\u4e5f\u6362\u5ef6\u8fdf\u548c\u8d39\u7528\u3002<\/p>\n

          \u5b98\u65b9\u516c\u544a\u91cc Sol \u5e38\u4ee5 xhigh \u51fa AutomationBench \u7b49\u6570\u5b57，max \u672a\u5fc5\u5904\u5904\u6700\u4f18；DeepSWE \u4e0a Sol max 68.8%\u3001Luna max 66.6% \u7b49\u4e3a\u4ec5\u5b98\u65b9\u8868\u8ff0，\u5f15\u7528\u8bf7\u56de Sol\/Luna \u516c\u544a \u6838\u5bf9\u3002<\/p>\n

          \u600e\u4e48\u914d（\u53ef\u843d\u5730）<\/h4>\n\n\u76ee\u6807\u5efa\u8bae<\/tr>\n\n\n\n\n\n
          \u9ed8\u8ba4\u4e0a\u7ebf<\/td>\n\u5148 medium<\/td>\n<\/tr>\n
          \u9ad8\u91cf\u8fd8\u8981\u5206\u6570<\/td>\nLuna + max（\u4ecd\u8fdc\u4fbf\u5b9c）；\u522b\u7528 Sol low\u300c\u5047\u88c5\u7701\u94b1\u300d<\/td>\n<\/tr>\n
          \u590d\u6742\u7f16\u7801 Agent<\/td>\nSol high \u2192 xhigh，\u518d\u7528\u4e1a\u52a1 eval \u51b3\u5b9a\u662f\u5426 max<\/td>\n<\/tr>\n
          \u65d7\u8230\u6700\u96be<\/td>\nAstra high \u2192 max（\u6c38\u8fdc\u4e0d\u8981\u4f20 none）<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

          \u7f51\u5173\u91cc\u628a model \u548c reasoning.effort \u505a\u6210\u4e24\u4e2a\u72ec\u7acb\u5b57\u6bb5，\u6bd4\u300c\u6362\u66f4\u5927\u7a97\u53e3\u300d\u66f4\u80fd\u63a7\u8d26\u5355\u3002<\/p>\n

          \u4e94\u3001\u540e\u7aef\u843d\u5730：\u4e09\u6761\u53ef\u8fd0\u884c\u5bf9\u7167<\/h3>\n

          \u540c\u4e00\u5957 Messages API \u5f62\u72b6，\u53ea\u6362 model，\u65b9\u4fbf\u5728\u7f51\u5173\u91cc\u505a\u8def\u7531\u3002<\/p>\n

          # \u4f9d\u8d56：openai>=1.40；\u73af\u5883\u53d8\u91cf OPENAI_API_KEY<\/span>
          \nfrom<\/span> openai import<\/span> OpenAI<\/p>\n

          client =<\/span> OpenAI(<\/span>)<\/span><\/p>\n

          ROUTES =<\/span> {<\/span>
          \n "hard"<\/span>:<\/span> "gpt-6-astra"<\/span>,<\/span> # \u65d7\u8230<\/span>
          \n "agent"<\/span>:<\/span> "gpt-6-sol"<\/span>,<\/span> # \u7f16\u7801 \/ Agent<\/span>
          \n "bulk"<\/span>:<\/span> "gpt-6-luna"<\/span>,<\/span> # \u9ad8\u901a\u91cf<\/span>
          \n "baseline"<\/span>:<\/span> "gpt-5.6-luna"<\/span>,<\/span>
          \n}<\/span><\/p>\n

          def<\/span> chat<\/span>(<\/span>route:<\/span> str<\/span>,<\/span> prompt:<\/span> str<\/span>,<\/span> effort:<\/span> str<\/span> |<\/span> None<\/span> =<\/span> None<\/span>)<\/span> –<\/span>><\/span> str<\/span>:<\/span>
          \n model =<\/span> ROUTES[<\/span>route]<\/span>
          \n kwargs =<\/span> {<\/span>
          \n "model"<\/span>:<\/span> model,<\/span>
          \n "messages"<\/span>:<\/span> [<\/span>{<\/span>"role"<\/span>:<\/span> "user"<\/span>,<\/span> "content"<\/span>:<\/span> prompt}<\/span>]<\/span>,<\/span>
          \n }<\/span>
          \n # Sol\/Luna: none|low|medium|high|xhigh|max；Astra \u65e0 none（\u4f20 none\u2192400）<\/span>
          \n # \u52ff\u4f20 ultra（\u975e\u5b98\u65b9\u679a\u4e3e）<\/span>
          \n if<\/span> effort is<\/span> not<\/span> None<\/span>:<\/span>
          \n kwargs[<\/span>"reasoning"<\/span>]<\/span> =<\/span> {<\/span>"effort"<\/span>:<\/span> effort}<\/span>
          \n resp =<\/span> client.<\/span>chat.<\/span>completions.<\/span>create(<\/span>**<\/span>kwargs)<\/span>
          \n return<\/span> resp.<\/span>choices[<\/span>0<\/span>]<\/span>.<\/span>message.<\/span>content or<\/span> ""<\/span><\/p>\n

          if<\/span> __name__ ==<\/span> "__main__"<\/span>:<\/span>
          \n print<\/span>(<\/span>chat(<\/span>"bulk"<\/span>,<\/span> "\u7528\u4e09\u53e5\u8bdd\u603b\u7ed3\u8fd9\u6bb5\u65e5\u5fd7\u7684\u9519\u8bef\u7c7b\u578b：\u2026"<\/span>,<\/span> effort=<\/span>"low"<\/span>)<\/span>)<\/span>
          \n print<\/span>(<\/span>chat(<\/span>"agent"<\/span>,<\/span> "\u7ed9\u8fd9\u4e2a\u5931\u8d25\u7528\u4f8b\u5199\u6700\u5c0f\u590d\u73b0 PR \u8bf4\u660e：\u2026"<\/span>,<\/span> effort=<\/span>"high"<\/span>)<\/span>)<\/span>
          \n print<\/span>(<\/span>chat(<\/span>"hard"<\/span>,<\/span> "\u8de8\u4ed3\u5e93\u6392\u969c\u5e76\u7ed9\u51fa\u6700\u7ec8\u53d8\u66f4\u6e05\u5355：\u2026"<\/span>,<\/span> effort=<\/span>"max"<\/span>)<\/span>)<\/span><\/p>\n

          \u7f51\u5173\u4fa7\u5efa\u8bae：<\/p>\n

        • \u6309\u4efb\u52a1\u6807\u7b7e\u8def\u7531，\u4e0d\u8981\u5168\u5c40\u7ed1\u6b7b\u4e00\u4e2a\u578b\u53f7\u3002<\/li>\n
        • Prompt Cache：Sol\/Luna \u516c\u544a\u5f3a\u8c03\u7f13\u5b58\u547d\u4e2d\u63d0\u5347\u4e0e 90% cached-read \u6298\u6263；Agent \u957f\u4f1a\u8bdd\u52a1\u5fc5\u56fa\u5b9a\u524d\u7f00\u3001\u5c11\u7834\u574f cache key\u3002<\/li>\n
        • \u957f\u4e0a\u4e0b\u6587\u6ea2\u4ef7：\u5355\u8bf7\u6c42\u8f93\u5165 >272K \u65f6\u5355\u4ef7\u4e0a\u6d6e，\u5927\u4ed3\u5e93\u300c\u6574\u4ed3\u585e\u8fdb\u53bb\u300d\u524d\u5148\u505a\u68c0\u7d22\u88c1\u526a\u3002<\/li>\n
        • \u4ea7\u54c1\u5f62\u6001：\u9700\u8981 Chat \u91cc\u70b9\u9009\u6a21\u578b\u65f6，\u786e\u8ba4 Sol\/Luna \u662f\u5426\u5df2\u5bf9\u4f60\u7684\u5e2d\u4f4d\u653e\u91cf；\u5f53\u524d\u6587\u6863\u5199\u660e \u4e0d\u5728 Chat\u3002<\/li>\n

          \u516d\u3001\u548c 5.6 \u4e16\u4ee3\u600e\u4e48\u6bd4（\u5199\u8fdb\u8bc4\u5ba1\u6750\u6599）<\/h3>\n\n\u7ef4\u5ea6\u76f8\u5bf9\u7ed3\u8bba\u51fa\u5904<\/tr>\n\n\n\n\n\n
          \u5355\u4ef7（Sol\/Luna）<\/td>\n\u76f8\u5bf9 5.6 \u4fc3\u9500\u4ef7\u7ea6 \u221250%<\/td>\n\u5b98\u65b9\u516c\u544a<\/td>\n<\/tr>\n
          \u667a\u529b\u6307\u6570（\u7b2c\u4e09\u65b9）<\/td>\n\u5927\u81f4\u6301\u5e73，\u52ff\u5199\u5168\u9762\u78be\u538b<\/td>\nArtificial Analysis<\/td>\n<\/tr>\n
          \u4e0a\u4e0b\u6587<\/td>\n\u56db\u578b\u53f7\u540c\u4e3a 1.05M<\/td>\n\u5404\u6a21\u578b\u9875<\/td>\n<\/tr>\n
          \u65d7\u8230<\/td>\nAstra \u4ecd\u662f\u540c\u4ee3\u9876\u683c<\/td>\nAstra \u516c\u544a<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

          \u82e5\u4f60\u7ebf\u4e0a\u4ecd\u662f gpt-5.6-sol（Input $4 \/ Output $20，\u4fc3\u9500\u81f3\u5c11\u81f3 2026-11-21，\u89c1 5.6 Sol \u6a21\u578b\u9875），\u8fc1\u5230 gpt-6-sol \u901a\u5e38\u662f\u300c\u5355\u4ef7\u8170\u65a9\u3001\u80fd\u529b\u540c\u4ee3\u5bf9\u9f50\u300d\u7684\u4f18\u5148\u52a8\u4f5c；Luna \u540c\u7406\u3002<\/p>\n

          \u4e03\u3001\u9002\u7528\u4e0e\u5c40\u9650<\/h3>\n

          \u9002\u5408\u5199\u8fdb\u9009\u578b\u6587\u6863\u7684：<\/p>\n

            \n
          • \u591a\u578b\u53f7\u8def\u7531\u8868 + \u5355\u4ef7\u4e0a\u9650（Finance \u53cb\u597d）<\/li>\n
          • Agent \/ Codex \u9ed8\u8ba4 Sol，\u6279\u5904\u7406\u9ed8\u8ba4 Luna，\u4eba\u5de5\u5347\u7ea7 Astra<\/li>\n
          • \u8fc1\u79fb\u671f\u4fdd\u7559 5.6 Luna \u4f5c\u5bf9\u7167\u57fa\u7ebf<\/li>\n<\/ul>\n

            \u672c\u6587\u660e\u786e\u4e0d\u505a\u7684：<\/p>\n

              \n
            • \u4e0d\u7f16\u9020 ChatGPT \u5404\u8ba2\u9605\u6863\u300c\u6bcf\u6708\u591a\u5c11\u6d88\u606f\u300d\u2014\u2014\u5f85\u5b98\u65b9\u8d39\u7387\u9875\u6838\u5b9e<\/li>\n
            • \u4e0d\u628a\u5b98\u65b9\u5185\u90e8 factuality \/ deception \u767e\u5206\u6bd4\u5f53\u7b2c\u4e09\u65b9\u7ed3\u8bba<\/li>\n
            • \u4e0d\u8ba8\u8bba\u300cGPT-6 Terra\u300d\u573a\u666f<\/li>\n<\/ul>\n

              \u516b\u3001\u771f\u5b9e\u8d26\u5355\u600e\u4e48\u4f30\u7b97（\u522b\u53ea\u770b\u6807\u4ef7）<\/h3>\n

              \u5047\u8bbe\u4f60\u6709\u4e00\u6761\u300c\u65e5\u5904\u7406 50 \u4e07\u6b21\u300d\u7684\u6458\u8981\u6d41\u6c34\u7ebf，\u6bcf\u6b21\u7ea6 2K input + 0.4K output（\u77ed\u4e0a\u4e0b\u6587）：<\/p>\n\n\u578b\u53f7\u65e5 Input tokens\u65e5 Output tokens\u7c97\u7b97\u65e5\u6210\u672c（USD）<\/tr>\n\n\n\n\n\n
              GPT-6 Luna<\/td>\n1.0e9<\/td>\n2.0e8<\/td>\n1e9\u00d70.10\/1e6 + 2e8\u00d70.50\/1e6 \u2248 $200<\/td>\n<\/tr>\n
              GPT-5.6 Luna<\/td>\n\u540c\u5de6<\/td>\n\u540c\u5de6<\/td>\n\u2248 $440<\/td>\n<\/tr>\n
              GPT-6 Sol<\/td>\n\u540c\u5de6<\/td>\n\u540c\u5de6<\/td>\n\u2248 $4000<\/td>\n<\/tr>\n
              GPT-6 Astra<\/td>\n\u540c\u5de6<\/td>\n\u540c\u5de6<\/td>\n\u2248 $20000<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

              \u6570\u5b57\u662f\u300c\u65e0\u7f13\u5b58\u3001\u65e0 Batch\u300d\u7684\u4e0a\u9650\u611f；Prompt Cache \u547d\u4e2d\u5347\u9ad8\u540e，Input \u4fa7\u4f1a\u660e\u663e\u4e0b\u964d\u3002\u53cd\u8fc7\u6765，\u6574\u4ed3\u65e5\u5fd7\u585e\u8fdb 300K+ \u4e0a\u4e0b\u6587，Sol\/Luna \u4f1a\u89e6\u53d1\u957f\u4e0a\u4e0b\u6587\u6ea2\u4ef7，\u8d26\u5355\u66f2\u7ebf\u4f1a\u9661\u8d77\u6765\u3002\u7ed3\u8bba\u5f88\u76f4\u767d：\u9ad8\u901a\u91cf\u573a\u666f\u786c\u4e0a Sol\/Astra，\u662f\u6700\u5e38\u89c1\u7684\u9884\u7b97\u4e8b\u6545\u3002<\/p>\n

              Agent \u573a\u666f\u5219\u76f8\u53cd\u3002\u4e00\u6b21\u300c\u8de8\u6587\u4ef6\u6539 bug + \u8dd1\u6d4b\u8bd5\u300d\u53ef\u80fd\u70e7\u6389 80K\u2013200K tokens；\u5355\u4ef7\u5dee\u4f1a\u88ab\u653e\u5927，\u4f46 Luna \u5728 Coding Agent \u4e0a\u7684\u7b2c\u4e09\u65b9\u89c2\u611f\u504f\u5f31，\u5b98\u65b9\u4e5f\u628a Sol \u5b9a\u4f4d\u6210 coding \/ agentic \u4e3b\u529b\u3002\u7ecf\u9a8c\u6cd5\u5219：<\/p>\n

                \n
              • \u5355\u6b21\u4efb\u52a1\u4ef7\u503c\u9ad8\u3001\u5931\u8d25\u6210\u672c\u9ad8（\u7ebf\u4e0a\u4e8b\u6545\u3001\u5b89\u5168\u53d8\u66f4）\u2192 \u504f Sol，\u5173\u952e\u8def\u5f84\u518d\u5347 Astra<\/li>\n
              • \u5355\u6b21\u4efb\u52a1\u53ef\u91cd\u8bd5\u3001\u53ef\u964d\u7ea7（\u6279\u91cf\u6253\u6807\u7b7e\u3001\u591c\u95f4\u6279\u5904\u7406）\u2192 Luna<\/li>\n
              • \u9700\u8981\u4eba\u5ba1\u7684\u300c\u6700\u7ec8\u7b54\u6848\u300d\u518d\u5347\u6863，\u800c\u4e0d\u662f\u5168\u7a0b\u5f00\u65d7\u8230<\/li>\n<\/ul>\n

                \u4e5d\u3001\u548c\u5e38\u89c1\u7ade\u54c1\u53d9\u4e8b\u600e\u4e48\u5bf9\u9f50（\u5199\u7ed9\u8bc4\u5ba1）<\/h3>\n

                \u516c\u5f00\u6750\u6599\u91cc，OpenAI \u7528 AutomationBench\u3001Agents\u2019 Last Exam\u3001FrontierCode\u3001DeepSWE\u3001OSWorld \u7b49\u81ea\u5bb6\u6216\u516c\u5f00\u57fa\u51c6，\u628a Sol \u63cf\u8ff0\u6210\u300c\u63a5\u8fd1\u66f4\u8d35\u7ade\u54c1\u3001\u4f46\u4efb\u52a1\u6210\u672c\u66f4\u4f4e\u300d；Luna \u5219\u5f3a\u8c03\u300c\u5728\u66f4\u4f4e\u6210\u672c\u4e0b\u8ffd\u4e0a\u6216\u90e8\u5206\u8d85\u8fc7\u4e0a\u4e00\u4ee3 Sol\u300d\u3002\u5199\u7ed9\u540e\u7aef\u8bc4\u5ba1，\u4e09\u53e5\u8bdd\u591f\u7528：<\/p>\n

              • \u540c\u4ee3\u66f2\u7ebf：Astra \u9876\u683c，Sol \u4e2d\u575a，Luna \u541e\u5410\u3002<\/li>\n
              • \u76f8\u5bf9 5.6：\u5b98\u65b9\u5ba3\u79f0 Sol\/Luna API \u4ef7\u7ea6\u51cf\u534a；\u7b2c\u4e09\u65b9\u667a\u529b\u6307\u6570\u5927\u81f4\u6301\u5e73\u3002<\/li>\n
              • \u4e0d\u4e92\u65a5：\u540c\u4e00\u7f51\u5173\u53ef\u6309\u6807\u7b7e\u5206\u6d41，\u6bd4\u300c\u5168\u7ad9\u6362\u6a21\u300d\u98ce\u9669\u66f4\u4f4e\u3002<\/li>\n

                \u4e0d\u8981\u628a\u5b98\u65b9\u81ea\u8bc4\u7684\u767e\u5206\u70b9\u6284\u6210\u300c\u884c\u4e1a\u5171\u8bc6\u300d\u3002\u4e1a\u52a1\u65b9\u8ffd\u95ee\u300c\u6bd4 Claude \/ \u67d0\u7ade\u54c1\u5f3a\u591a\u5c11\u300d\u65f6，\u628a\u4ed6\u4eec\u5e26\u56de Sol\/Luna \u516c\u544a\u539f\u6587 \u4e0e Artificial Analysis \u6587\u7ae0，\u8ba9\u5bf9\u65b9\u81ea\u5df1\u8bfb\u56fe，\u6bd4\u4e8c\u6b21\u8f6c\u8ff0\u66f4\u7a33\u3002<\/p>\n

                \u5341\u3001\u8fc1\u79fb\u6e05\u5355（\u4ece 5.6 \u5230 6）<\/h3>\n
              • \u76d8\u70b9\u8c03\u7528\u9762：Chat Completions \/ Responses \/ Codex \/ \u81ea\u5efa Agent，\u5206\u522b\u8bb0 model \u5b57\u6bb5\u3002<\/li>\n
              • \u5148\u8fc1\u65c1\u8def：\u7070\u5ea6\u628a\u300c\u975e\u5173\u952e\u300d\u6d41\u91cf\u5207\u5230 gpt-6-luna，\u89c2\u5bdf\u5ef6\u8fdf\u3001\u62d2\u7b54\u3001\u5de5\u5177\u8c03\u7528\u6210\u529f\u7387\u3002<\/li>\n
              • \u7f16\u7801\u901a\u9053\u5207 Sol：\u628a\u9ed8\u8ba4 coding agent \u4ece gpt-5.6-sol \u6362\u5230 gpt-6-sol，\u4fdd\u7559 Astra \u4f5c\u4e3a\u4eba\u5de5\u5347\u7ea7\u6309\u94ae\u3002<\/li>\n
              • \u6838\u5bf9 effort：Astra \u6ca1\u6709 none；\u82e5\u5c01\u88c5\u9ed8\u8ba4 effort=none，\u5207 Astra \u4f1a\u76f4\u63a5\u62a5\u9519\u6216\u9759\u9ed8\u56de\u843d\u2014\u2014\u96c6\u6210\u6d4b\u8bd5\u91cc\u6700\u8be5\u8986\u76d6\u7684\u4e00\u6761\u3002<\/li>\n
              • \u7f13\u5b58\u952e\u7a33\u5b9a：\u7cfb\u7edf\u63d0\u793a\u3001\u5de5\u5177\u5217\u8868\u3001\u56fa\u5b9a RAG \u524d\u7f00\u5c3d\u91cf\u4e0d\u52a8；\u516c\u544a\u79f0\u8c03\u8282 effort \/ \u5f00\u5173\u5de5\u5177\u65f6\u4e5f\u53ef\u66f4\u597d\u590d\u7528\u524d\u7f00\u7f13\u5b58\u3002<\/li>\n
              • \u76d1\u63a7\u4e09\u7ef4：p95 \u5ef6\u8fdf\u3001\u5355\u4f4d\u6210\u529f\u4efb\u52a1\u6210\u672c\u3001\u4eba\u5de5\u56de\u6eda\u7387\u3002\u53ea\u770b\u300c\u5e73\u5747 token \u4ef7\u300d\u4f1a\u6f0f\u6389\u91cd\u8bd5\u5e26\u6765\u7684\u9690\u6027\u7ffb\u500d\u3002<\/li>\n
              • \u6587\u6863\u4e0e\u5408\u540c：\u5bf9\u5916\u62a5\u4ef7\u82e5\u5199\u6b7b\u300c\u6bcf\u5343\u6b21\u8c03\u7528\u6210\u672c\u300d，\u6309\u65b0\u5355\u4ef7\u91cd\u7b97；\u5bf9\u5185\u9884\u7b97\u6309\u300c\u4efb\u52a1\u7c7b\u578b\u300d\u800c\u4e0d\u662f\u300c\u5168\u5c40\u5e73\u5747\u300d\u3002<\/li>\n

                \u5341\u4e00\u3001\u5e38\u89c1\u8bef\u533a<\/h3>\n
                  \n
                • \u8bef\u533a 1：\u4e0a\u4e0b\u6587\u8d8a\u5927\u8d8a\u597d\u3002 \u56db\u578b\u53f7\u90fd\u662f 1.05M，\u5dee\u522b\u4e0d\u5728\u7a97\u53e3，\u5728\u4ef7\u4e0e\u5b9a\u4f4d\u3002<\/li>\n
                • \u8bef\u533a 2：\u4e00\u5f8b\u4e0a Astra\u3002 \u65d7\u8230\u9002\u5408\u300c\u6700\u96be\u90a3 5%\u300d；\u5176\u4f59 95% \u7528 Sol\/Luna \u66f4\u7b26\u5408\u5b98\u65b9\u4ea7\u54c1\u53d9\u4e8b\u3002<\/li>\n
                • \u8bef\u533a 3：Luna \u4fbf\u5b9c\u5c31\u62ff\u53bb\u5199\u5927\u91cd\u6784\u3002 \u9ad8\u901a\u91cf\u5b9a\u4f4d \u2260 \u590d\u6742 Agent \u6700\u4f18；\u590d\u6742\u53d8\u66f4\u4f18\u5148 Sol\u3002<\/li>\n
                • \u8bef\u533a 4：\u5728 Chat \u91cc\u627e Sol\/Luna\u3002 \u5f53\u524d\u6587\u6863\u5199\u660e\u5c1a\u672a\u8fdb Chat，\u53ea\u5728 Work\/Codex\/API\u3002<\/li>\n
                • \u8bef\u533a 5：\u641c\u5230 GPT-6 Terra \u5c31\u63a5\u8fdb\u8def\u7531\u3002 \u5b98\u65b9\u6a21\u578b\u9875 404；\u5b58\u5728\u7684\u662f GPT-5.6 Terra\u3002\u63a5\u9519 id \u4f1a\u5728\u4e0a\u7ebf\u5f53\u5929\u624d\u66b4\u9732\u3002<\/li>\n
                • \u8bef\u533a 6：\u628a AA \u6307\u6570\u6301\u5e73\u8bfb\u6210\u300c\u6ca1\u5fc5\u8981\u5347\u7ea7\u300d\u3002 \u540c\u667a\u66f4\u4f4e\u4ef7，\u672c\u8eab\u5c31\u662f\u5347\u7ea7\u7406\u7531；\u5c24\u5176\u662f\u6309 token \u8ba1\u8d39\u7684 Agent \u957f\u4f1a\u8bdd\u3002<\/li>\n
                • \u8bef\u533a 7：\u628a 1.05M \u7a97\u53e3\u5f53\u6210\u601d\u8003\u5f3a\u5ea6，\u6216\u914d\u7f6e ultra\u3002 \u7a97\u53e3\u4e0e reasoning.effort \u6b63\u4ea4；\u5b98\u65b9\u679a\u4e3e\u65e0 ultra\u3002<\/li>\n<\/ul>\n

                  \u5341\u4e8c\u3001\u7ed9\u67b6\u6784\u8bc4\u5ba1\u7684\u4e00\u9875\u7eb8\u7ed3\u8bba<\/h3>\n

                  \u5982\u679c\u53ea\u5141\u8bb8\u5e26\u8d70\u4e09\u53e5\u8bdd：<\/p>\n

                • \u6309\u4efb\u52a1\u9009\u6863，\u4e0d\u6309\u300c\u6700\u65b0\u300d\u9009\u6863：Astra \/ Sol \/ Luna(6) \/ 5.6 Luna \u5404\u6709\u5b98\u65b9\u5b9a\u4f4d，\u6df7\u7528\u662f\u5e38\u6001\u3002<\/li>\n
                • \u8d26\u5355\u7531\u8def\u7531\u51b3\u5b9a：\u540c\u6837 1.05M \u7a97\u53e3，Luna \u4e0e Astra \u5355\u4ef7\u53ef\u5dee\u4e24\u4e2a\u6570\u91cf\u7ea7；\u9ad8\u901a\u91cf\u5207\u9519\u578b\u53f7，\u6bd4\u6a21\u578b\u300c\u4e0d\u591f\u806a\u660e\u300d\u66f4\u5feb\u628a\u9884\u7b97\u6253\u7a7f\u3002<\/li>\n
                • \u8bc1\u636e\u94fe\u8981\u53ef\u70b9\u51fb：\u5b9a\u4ef7\u56de Pricing，\u4ea7\u54c1\u53d9\u4e8b\u56de Sol\/Luna \u516c\u544a \u4e0e Astra \u516c\u544a，\u7b2c\u4e09\u65b9\u8fb9\u754c\u56de Artificial Analysis\u3002\u5185\u90e8\u4e8b\u5b9e\u6027\u767e\u5206\u6bd4\u8bf7\u6807\u300c\u4ec5\u5b98\u65b9\u8868\u8ff0\u300d\u3002<\/li>\n

                  \u843d\u5730\u987a\u5e8f\u5efa\u8bae：\u5148\u6539\u7f51\u5173\u8def\u7531\u4e0e\u76d1\u63a7 \u2192 \u518d\u8fc1\u975e\u5173\u952e\u6d41\u91cf\u5230 Luna \u2192 \u7f16\u7801 Agent \u9ed8\u8ba4\u53ef\u8fc1 Sol \u2192 Astra \u4fdd\u7559\u4e3a\u663e\u5f0f\u5347\u7ea7\u3002\u5168\u7a0b\u4fdd\u7559 5.6 Luna \u5bf9\u7167\u4e00\u5468，\u6bd4\u300c\u5927\u7206\u70b8\u5207\u6d41\u300d\u66f4\u5bb9\u6613\u5411\u4e1a\u52a1\u4ea4\u4ee3\u3002<\/p>\n

                  \u5c0f\u7ed3<\/h3>\n

                  GPT-6 \u4e0d\u662f\u300c\u4e00\u4e2a\u6a21\u578b\u6362\u76ae\u300d，\u800c\u662f Astra（\u9876）\u2014 Sol（\u7f16\u7801\/Agent \u6027\u4ef7\u6bd4）\u2014 Luna（\u9ad8\u901a\u91cf\u4f4e\u4ef7） \u4e09\u6761\u4ea7\u54c1\u7ebf，\u5916\u52a0\u4ecd\u53ef\u7528\u7684 5.6 Luna \u57fa\u7ebf\u3002\u4e0a\u4e0b\u6587\u90fd\u662f 1.05M，\u771f\u6b63\u51b3\u5b9a\u8d26\u5355\u7684\u662f\u5355\u4ef7\u4e0e\u4efb\u52a1\u7c7b\u578b\u3002\u6309\u4e0a\u8868\u8def\u7531，\u6bd4\u7ea0\u7ed3\u300c\u8c01\u667a\u5546\u66f4\u9ad8\u300d\u66f4\u63a5\u8fd1\u751f\u4ea7\u73b0\u5b9e\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

                  GPT-6 Sol \/ Luna \/ Astra \u600e\u4e48\u9009：\u667a\u529b\u3001\u4ef7\u683c\u3001\u4e0a\u4e0b\u6587\u4e0e\u573a\u666f\u5bf9\u7167（\u9644 5.6 Luna）
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