[{"data":1,"prerenderedAt":590},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"model-gpt-5-6":9},{"tools":4,"reviews":5},78,26,{"tools":4,"reviews":5,"playbooks":7,"news":8},22,21,{"id":10,"title":11,"apiCompatible":12,"benchmarks":15,"body":28,"category":554,"contextWindow":555,"cover":556,"description":557,"extension":558,"lastVerified":556,"maxOutput":559,"meta":560,"navigation":274,"path":561,"pricing":562,"published":563,"relatedTools":564,"releaseDate":568,"seo":569,"slug":570,"stem":571,"strengths":572,"updated":563,"useCases":578,"vendor":583,"vendorEn":583,"weaknesses":584,"__hash__":589},"models\u002Fmodels\u002Fgpt-5-6.md","GPT-5.6（Sol \u002F Terra \u002F Luna）",[13,14],"openai","azure-openai",[16,19,22,25],{"name":17,"score":18},"Terminal-Bench 2.1（Sol Ultra）","91.9%",{"name":20,"score":21},"Terminal-Bench 2.1（Sol）","88.8%",{"name":23,"score":24},"Agents' Last Exam（Sol）","53.6",{"name":26,"score":27},"AA Coding Agent Index（Sol）","80",{"type":29,"value":30,"toc":539},"minimark",[31,35,56,59,62,67,89,92,96,167,170,174,194,197,211,215,334,337,340,343,430,441,444,473,477,483,489,500,503,535],[32,33,34],"h2",{"id":34},"概述",[36,37,38,39,43,44,47,48,51,52,55],"p",{},"GPT-5.6 是 OpenAI 于 2026 年 7 月 9 日全量 GA 的新一代旗舰家族，分为三档：",[40,41,42],"strong",{},"Sol","（旗舰）、",[40,45,46],{},"Terra","（均衡）、",[40,49,50],{},"Luna","（低成本），另有 Sol Ultra \u002F Pro 高配版本。全系 ",[40,53,54],{},"1.1M 上下文","，具备 reasoning 与 vision 能力。它在 Terminal-Bench 2.1 上以 Sol Ultra 91.9% 的成绩刷新终端 Agent 能力上限，是 2026 下半年编程赛道的标杆之一。",[36,57,58],{},"发布前，GPT-5.6 曾被美国政府要求限制 14 天（约 20 家审核伙伴先行评估），7 月 9 日面向全球开放。前代 GPT-5.5 仍在服务，GPT-6 传闻在 2026 下半年（尚未官宣）。",[32,60,61],{"id":61},"核心能力",[63,64,66],"h3",{"id":65},"编程与终端-agent-sota","编程与终端 Agent SOTA",[68,69,70,77,83],"ul",{},[71,72,73,76],"li",{},[40,74,75],{},"Terminal-Bench 2.1","：Sol Ultra 91.9% \u002F Sol 88.8% \u002F Terra 84.3% \u002F Luna 82.5%",[71,78,79,82],{},[40,80,81],{},"Agents' Last Exam","：Sol 53.6",[71,84,85,88],{},[40,86,87],{},"Artificial Analysis Coding Agent Index","：Sol 80",[36,90,91],{},"Terminal-Bench 衡量的是模型在真实命令行环境里独立完成任务的能力——这正是 Agent 编程的核心场景。",[63,93,95],{"id":94},"三档分级按需选型","三档分级，按需选型",[97,98,99,118],"table",{},[100,101,102],"thead",{},[103,104,105,109,112,115],"tr",{},[106,107,108],"th",{},"档位",[106,110,111],{},"定位",[106,113,114],{},"Input",[106,116,117],{},"Output",[119,120,121,137,152],"tbody",{},[103,122,123,128,131,134],{},[124,125,126],"td",{},[40,127,42],{},[124,129,130],{},"旗舰",[124,132,133],{},"$5\u002FM",[124,135,136],{},"$30\u002FM",[103,138,139,143,146,149],{},[124,140,141],{},[40,142,46],{},[124,144,145],{},"均衡",[124,147,148],{},"$2.50\u002FM",[124,150,151],{},"$15\u002FM",[103,153,154,158,161,164],{},[124,155,156],{},[40,157,50],{},[124,159,160],{},"低成本",[124,162,163],{},"$1\u002FM",[124,165,166],{},"$6\u002FM",[36,168,169],{},"Luna 以极低价格提供 82.5% 的 Terminal-Bench 成绩，性价比突出;Sol 则用于对能力天花板要求最高的场景。",[63,171,173],{"id":172},"原生-agent-增强","原生 Agent 增强",[68,175,176,182,188],{},[71,177,178,181],{},[40,179,180],{},"Programmatic Tool Calling",":模型可编程式地组合调用工具，减少往返",[71,183,184,187],{},[40,185,186],{},"multi-agent（beta）",":原生多 Agent 协作",[71,189,190,193],{},[40,191,192],{},"ultra 模式",":默认 4 个并行 Agent（最多 16），适合复杂任务并行拆解",[63,195,196],{"id":196},"全平台覆盖",[36,198,199,200,205,206,210],{},"GPT-5.6 同步上线 OpenAI API、ChatGPT、",[201,202,204],"a",{"href":203},"\u002Fcoding\u002Fcli\u002Fcodex-cli.html","Codex","、",[201,207,209],{"href":208},"\u002Fcoding\u002Fcopilot\u002Fgithub-copilot.html","GitHub Copilot","、Devin、Microsoft 365 Copilot，是覆盖面最广的前沿模型之一。",[32,212,214],{"id":213},"api-调用示例","API 调用示例",[216,217,222],"pre",{"className":218,"code":219,"language":220,"meta":221,"style":221},"language-python shiki shiki-themes github-light github-dark","from openai import OpenAI\nclient = OpenAI(api_key=\"sk-...\")\n\nresp = client.responses.create(\n    model=\"gpt-5.6-terra\",   # sol \u002F terra \u002F luna\n    input=\"重构这个模块并补全类型注解\",\n)\nprint(resp.output_text)\n","python","",[223,224,225,244,269,276,287,305,319,324],"code",{"__ignoreMap":221},[226,227,230,234,238,241],"span",{"class":228,"line":229},"line",1,[226,231,233],{"class":232},"szBVR","from",[226,235,237],{"class":236},"sVt8B"," openai ",[226,239,240],{"class":232},"import",[226,242,243],{"class":236}," OpenAI\n",[226,245,247,250,253,256,260,262,266],{"class":228,"line":246},2,[226,248,249],{"class":236},"client ",[226,251,252],{"class":232},"=",[226,254,255],{"class":236}," OpenAI(",[226,257,259],{"class":258},"s4XuR","api_key",[226,261,252],{"class":232},[226,263,265],{"class":264},"sZZnC","\"sk-...\"",[226,267,268],{"class":236},")\n",[226,270,272],{"class":228,"line":271},3,[226,273,275],{"emptyLinePlaceholder":274},true,"\n",[226,277,279,282,284],{"class":228,"line":278},4,[226,280,281],{"class":236},"resp ",[226,283,252],{"class":232},[226,285,286],{"class":236}," client.responses.create(\n",[226,288,290,293,295,298,301],{"class":228,"line":289},5,[226,291,292],{"class":258},"    model",[226,294,252],{"class":232},[226,296,297],{"class":264},"\"gpt-5.6-terra\"",[226,299,300],{"class":236},",   ",[226,302,304],{"class":303},"sJ8bj","# sol \u002F terra \u002F luna\n",[226,306,308,311,313,316],{"class":228,"line":307},6,[226,309,310],{"class":258},"    input",[226,312,252],{"class":232},[226,314,315],{"class":264},"\"重构这个模块并补全类型注解\"",[226,317,318],{"class":236},",\n",[226,320,322],{"class":228,"line":321},7,[226,323,268],{"class":236},[226,325,327,331],{"class":228,"line":326},8,[226,328,330],{"class":329},"sj4cs","print",[226,332,333],{"class":236},"(resp.output_text)\n",[32,335,336],{"id":336},"定价",[36,338,339],{},"见上文三档表格。Terra 是多数团队的甜点档——能力接近 Sol 的九成，价格却只有一半。Luna 适合高频、成本敏感的批量任务。",[32,341,342],{"id":342},"与同档模型怎么选",[97,344,345,361],{},[100,346,347],{},[103,348,349,352,355,358],{},[106,350,351],{},"维度",[106,353,354],{},"GPT-5.6 Sol",[106,356,357],{},"Claude Sonnet 5",[106,359,360],{},"Gemini 3.1 Pro",[119,362,363,377,391,405,418],{},[103,364,365,368,371,374],{},[124,366,367],{},"编程",[124,369,370],{},"Terminal-Bench 88.8%",[124,372,373],{},"SWE-bench 85.2%",[124,375,376],{},"强",[103,378,379,382,385,388],{},[124,380,381],{},"上下文",[124,383,384],{},"1.1M",[124,386,387],{},"1M",[124,389,390],{},"2M",[103,392,393,396,399,402],{},[124,394,395],{},"多模态",[124,397,398],{},"reasoning + vision",[124,400,401],{},"图片",[124,403,404],{},"原生全模态",[103,406,407,410,413,416],{},[124,408,409],{},"Agent 编排",[124,411,412],{},"★★★★★（multi-agent）",[124,414,415],{},"★★★★☆",[124,417,415],{},[103,419,420,423,426,428],{},[124,421,422],{},"国内可用",[124,424,425],{},"❌",[124,427,425],{},[124,429,425],{},[36,431,432,435,436,440],{},[40,433,434],{},"建议",":终端\u002F命令行 Agent 与 multi-agent 编排选 Sol;日常编程用 Terra 性价比最优;要极致低价选 Luna 或 ",[201,437,439],{"href":438},"\u002Fmodels\u002Fdeepseek-v4.html","DeepSeek V4","。",[32,442,443],{"id":443},"避坑清单",[68,445,446,455,461,467],{},[71,447,448,451,454],{},[40,449,450],{},"别默认拉 Sol",[452,453],"terra",{}," 已能覆盖绝大多数编程任务，成本只有一半。",[71,456,457,460],{},[40,458,459],{},"ultra 模式慎用",":16 并行 Agent 的 token 账单会快速膨胀，仅在真正需要并行的复杂任务用。",[71,462,463,466],{},[40,464,465],{},"国内无直连",":需 Azure OpenAI 或第三方中转。",[71,468,469,472],{},[40,470,471],{},"1.1M 上下文不是免费午餐",":超长上下文单次调用成本高，按需截取。",[32,474,476],{"id":475},"faq","FAQ",[36,478,479,482],{},[40,480,481],{},"Q: Sol、Terra、Luna 怎么选?","\nA: Terra 是默认推荐——能力接近 Sol 九成，价格一半。只有对能力天花板要求极高（复杂 Agent、刁钻 bug）才上 Sol;高频批量、成本敏感的任务用 Luna。",[36,484,485,488],{},[40,486,487],{},"Q: GPT-5.6 和 Claude Sonnet 5 哪个更适合编程?","\nA: 各有所长。GPT-5.6 在终端 Agent（Terminal-Bench）上领先，multi-agent 编排原生;Sonnet 5 在 SWE-bench Verified 上 85.2% 略高，且促销期定价更低（$2\u002F$10）。终端自动化选 GPT-5.6，纯代码修复 Bug 可优先试 Sonnet 5。",[36,490,491,494,495,499],{},[40,492,493],{},"Q: 国内怎么用?","\nA: 官方 API 不直供国内，走 Azure OpenAI（需海外账号）或 ",[201,496,498],{"href":497},"\u002Fcoding\u002Fapi\u002Fopenrouter.html","OpenRouter"," 等中转。",[32,501,502],{"id":502},"延伸阅读",[68,504,505,520,528],{},[71,506,507,508,511,512,511,516],{},"对比同档:",[201,509,357],{"href":510},"\u002Fmodels\u002Fclaude-sonnet-5.html"," \u002F ",[201,513,515],{"href":514},"\u002Fmodels\u002Fgrok-4-5.html","Grok 4.5",[201,517,519],{"href":518},"\u002Fmodels\u002Fgemini-3-pro.html","Gemini 3 Pro",[71,521,522,523,511,526],{},"配套工具:",[201,524,525],{"href":203},"Codex CLI",[201,527,209],{"href":208},[71,529,530,531],{},"相关资讯:",[201,532,534],{"href":533},"\u002Fnews\u002F2026\u002Fgpt-5-6-release.html","GPT-5.6 发布",[536,537,538],"style",{},"html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .s4XuR, html code.shiki .s4XuR{--shiki-default:#E36209;--shiki-dark:#FFAB70}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":221,"searchDepth":271,"depth":271,"links":540},[541,542,548,549,550,551,552,553],{"id":34,"depth":246,"text":34},{"id":61,"depth":246,"text":61,"children":543},[544,545,546,547],{"id":65,"depth":271,"text":66},{"id":94,"depth":271,"text":95},{"id":172,"depth":271,"text":173},{"id":196,"depth":271,"text":196},{"id":213,"depth":246,"text":214},{"id":336,"depth":246,"text":336},{"id":342,"depth":246,"text":342},{"id":443,"depth":246,"text":443},{"id":475,"depth":246,"text":476},{"id":502,"depth":246,"text":502},"coding",1100000,null,"OpenAI 2026 年 7 月 9 日全量 GA 的 GPT-5.6 家族，分 Sol\u002FTerra\u002FLuna 三档，1.1M 上下文，Terminal-Bench 2.1 最高 91.9%，全平台覆盖。","md",128000,{},"\u002Fmodels\u002Fgpt-5-6","Sol $5\u002F$30 · Terra $2.50\u002F$15 · Luna $1\u002F$6","2026-07-20",[565,566,567],"coding\u002Fcli\u002Fcodex-cli","coding\u002Fcopilot\u002Fgithub-copilot","coding\u002Fapi\u002Fopenrouter","2026-07-09",{"title":11,"description":557},"gpt-5-6","models\u002Fgpt-5-6",[573,574,575,576,577],"Terminal-Bench 2.1 最高 91.9%（Sol Ultra），编程与终端 Agent 能力顶尖","1.1M 超长上下文，reasoning + vision 全能","三档分级（Sol\u002FTerra\u002FLuna）覆盖旗舰到低成本，选型灵活","Programmatic Tool Calling + multi-agent，Agent 能力原生增强","全平台覆盖：API\u002FChatGPT\u002FCodex\u002FCopilot\u002FDevin\u002FM365",[579,580,581,582],"终端 \u002F 命令行 Agent 自动化","大型软件工程与多步推理","multi-agent 编排任务","长文档 \u002F 大代码库分析（1.1M 上下文）","OpenAI",[585,586,587,588],"Sol 旗舰定价偏高（$5\u002F$30），高吞吐成本压力大","国内无官方 API，需走中转或 Azure","发布前曾被美政府要求限制 14 天，合规环境敏感","ultra 模式多 agent 并行 token 消耗高","vZyNtBH5w7yMFl0I7K6V5_0wLkLmkyIpwmy5p-rAHHM",1784565434364]