[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-gpt-5-6-luna-terra-sol-release-en":3,"article-related-gpt-5-6-luna-terra-sol-release-en":30,"series-model-release-142b5945-8715-4a6f-b8dd-6c1b99296a95":79},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":22,"views":26,"created_at":27,"published_at":28,"topic_cluster_id":29},"142b5945-8715-4a6f-b8dd-6c1b99296a95","gpt-5-6-luna-terra-sol-release-en","GPT-5.6 family lands with Luna, Terra, Sol","\u003Cp data-speakable=\"summary\">Before, users relied on GPT-5 for \u003Ca href=\"\u002Ftag\u002Fagent\">agent\u003C\u002Fa> work; now \u003Ca href=\"\u002Ftag\u002Fopenai\">OpenAI\u003C\u002Fa> has shipped GPT-5.6 in three sizes with new API controls.\u003C\u002Fp>\u003Cp>OpenAI moved \u003Ca href=\"https:\u002F\u002Fopenai.com\u002F\" target=\"_blank\" rel=\"noopener\">OpenAI\u003C\u002Fa>’s GPT-5.6 family into general availability on 9 July 2026, with three variants: Luna, Terra, and Sol. Pricing is set per 1M tokens at $1\u002F$6 for Luna, $2.50\u002F$15 for Terra, and $5\u002F$30 for Sol.\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>數值\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>Release date\u003C\u002Ftd>\u003Ctd>9 July 2026\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Model sizes\u003C\u002Ftd>\u003Ctd>Luna, Terra, Sol\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Input\u002Foutput pricing\u003C\u002Ftd>\u003Ctd>$1\u002F$6, $2.50\u002F$15, $5\u002F$30 per 1M tokens\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Knowledge cutoff\u003C\u002Ftd>\u003Ctd>16 Feb 2026\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Context window\u003C\u002Ftd>\u003Ctd>1 million tokens\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Max output\u003C\u002Ftd>\u003Ctd>128,000 tokens\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Agents’ Last Exam score\u003C\u002Ftd>\u003Ctd>53.6 for Sol\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Gap vs Claude Fable 5\u003C\u002Ftd>\u003Ctd>+13.1 points\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>What changed\u003C\u002Fh2>\u003Cp>The headline claim is agentic performance. On \u003Ca href=\"https:\u002F\u002Fwww.agentslastexam.com\u002F\" target=\"_blank\" rel=\"noopener\">Agents’ Last Exam\u003C\u002Fa>, which measures long-running professional workflows across 55 fields, GPT-5.6 Sol reached 53.6, ahead of \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002F\" target=\"_blank\" rel=\"noopener\">Anthropic\u003C\u002Fa>’s \u003Ca href=\"\u002Ftag\u002Fclaude\">Claude\u003C\u002Fa> Fable 5 by 13.1 points.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783971162328-43hh.png\" alt=\"GPT-5.6 family lands with Luna, Terra, Sol\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>OpenAI also says the family is more efficient across the size range. At medium reasoning, Sol beat Fable 5 by 11.4 points at about one-quarter of the estimated cost, while Terra and Luna beat Fable 5 at about one-sixteenth the cost.\u003C\u002Fp>\u003Cul>\u003Cli>All three models share a 1M-token context window.\u003C\u002Fli>\u003Cli>Maximum output is 128,000 tokens.\u003C\u002Fli>\u003Cli>Knowledge cutoff is 16 February 2026.\u003C\u002Fli>\u003Cli>OpenAI published a 18-pelican cost chart covering none, low, medium, high, xhigh, and max reasoning levels.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>OpenAI also flagged a weak spot in its own comparison set. It says \u003Ca href=\"\u002Ftag\u002Fswe-bench\">SWE-Bench\u003C\u002Fa> Pro appears broken in about 30% of tasks, after Fable 5 scored 80% there versus 64.6% for GPT-5.6 Sol.\u003C\u002Fp>\u003Ch2>Why it matters\u003C\u002Fh2>\u003Cp>For developers building agents, the bigger shift is not just raw score. GPT-5.6 adds \u003Ca href=\"https:\u002F\u002Fopenai.com\u002Findex\u002F\" target=\"_blank\" rel=\"noopener\">new API features\u003C\u002Fa> that push more orchestration into the model layer: programmatic tool calling, multi-agent subagents, and prompt cache breakpoints.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783971159854-2zj5.png\" alt=\"GPT-5.6 family lands with Luna, Terra, Sol\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>Those features matter because they change how much glue code teams need to write. Programmatic tool calling can run JavaScript to coordinate tool calls, multi-agent support can split work into parallel subagents, and cache breakpoints give more control over prompt reuse and cost.\u003C\u002Fp>\u003Cp>OpenAI also added \u003Ccode>detail: original\u003C\u002Fcode> for image requests so images can be processed without resizing first. That is a practical change for apps that care about image fidelity or want to avoid extra preprocessing steps.\u003C\u002Fp>\u003Cp>The pricing and \u003Ca href=\"\u002Ftag\u002Fbenchmark\">benchmark\u003C\u002Fa> mix suggests OpenAI is aiming at both ends of the market: cheaper small models for routine agent work, and a flagship model that can compete on long-running tasks. The open question is whether GPT-5.6’s coding performance will match its workflow score in real projects.\u003C\u002Fp>","OpenAI shipped GPT-5.6 in three sizes, with Sol posting 53.6 on Agents’ Last Exam and new API features for tool use and subagents.","simonwillison.net","https:\u002F\u002Fsimonwillison.net\u002F2026\u002FJul\u002F9\u002Fgpt-5-6\u002F",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783971162328-43hh.png","model-release","en","ebc46a87-604e-4ac4-b890-44acd40b130f",[17,18,19,20,21],"OpenAI","GPT-5.6","agents","benchmark","API",[23,24,25],"GPT-5.6 ships in three sizes: Luna, Terra, and Sol.","Sol tops Agents’ Last Exam at 53.6, ahead of Claude Fable 5 by 13.1 points.","New API features include programmatic tool calling, multi-agent subagents, and prompt cache breakpoints.",0,"2026-07-13T19:32:15.67914+00:00","2026-07-13T19:32:15.674+00:00","676b092f-4c36-4edb-a59f-9ca4ec2603d7",{"tags":31,"relatedLang":38,"relatedPosts":42},[32,34,35,36],{"name":17,"slug":33},"openai",{"name":19,"slug":19},{"name":20,"slug":20},{"name":21,"slug":37},"api",{"id":15,"slug":39,"title":40,"language":41},"gpt-5-6-luna-terra-sol-release-zh","GPT-5.6 三模型上線：Luna、Terra、Sol","zh",[43,49,55,61,67,73],{"id":44,"slug":45,"title":46,"cover_image":47,"image_url":47,"created_at":48,"category":13},"85d91774-503a-426d-8be1-bf059f5c6d88","gpt-56-sol-review-faster-coding-lower-cost-en","GPT-5.6 Sol Review: Faster Coding, Lower Cost","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783972981664-hujk.png","2026-07-13T20:02:36.728668+00:00",{"id":50,"slug":51,"title":52,"cover_image":53,"image_url":53,"created_at":54,"category":13},"9390f6d0-7e74-4fd8-b25a-16ca9b7e4e62","gpt-56-benchmarks-sol-coding-cost-en","GPT-5.6 benchmarks: Sol tops coding, cuts costs","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783967562590-oqcz.png","2026-07-13T18:32:16.873964+00:00",{"id":56,"slug":57,"title":58,"cover_image":59,"image_url":59,"created_at":60,"category":13},"57dc8630-fc35-4935-848d-283e90ec2b20","gpt-56-turns-openai-into-a-model-menu-en","GPT-5.6 turns OpenAI into a model menu","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783814594555-cj9p.png","2026-07-12T00:02:51.434456+00:00",{"id":62,"slug":63,"title":64,"cover_image":65,"image_url":65,"created_at":66,"category":13},"18e15a3b-491c-40d2-bc09-16889b28e1ba","seedream-5-pro-right-choice-editable-ai-images-en","Seedream 5.0 Pro Is the Right Choice for Editable AI Images","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783692175250-q7en.png","2026-07-10T14:02:29.581161+00:00",{"id":68,"slug":69,"title":70,"cover_image":71,"image_url":71,"created_at":72,"category":13},"d5e54703-08dc-48b5-85d8-54fb8247e2b3","midjourney-v8-2-release-close-update-en","Midjourney v8.2 release is close","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783690365074-fnyk.png","2026-07-10T13:32:22.647358+00:00",{"id":74,"slug":75,"title":76,"cover_image":77,"image_url":77,"created_at":78,"category":13},"dd37da83-b0be-41af-b962-913875a508c2","rust-kraid-mesa-arm-mali-gpus-en","Rust KRAID enters Mesa for Arm Mali GPUs","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783600400838-n65t.png","2026-07-09T12:32:55.358316+00:00",[80,85,90,95,100,105,110,115,120,125],{"id":81,"slug":82,"title":83,"created_at":84},"d4cffde7-9b50-4cc7-bb68-8bc9e3b15477","nvidia-rubin-ai-supercomputer-en","NVIDIA Unveils Rubin: A Leap in AI Supercomputing","2026-03-25T16:24:35.155565+00:00",{"id":86,"slug":87,"title":88,"created_at":89},"eab919b9-fbac-4048-89fc-afad6749ccef","google-gemini-ai-innovations-2026-en","Google's AI Leap with Gemini Innovations in 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