[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-openai-model-catalog-gpt-5-6-pricing-tiers-en":3,"article-related-openai-model-catalog-gpt-5-6-pricing-tiers-en":30,"series-model-release-a0a9b58d-78ad-479a-b939-f918cf30ee6f":75},{"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},"a0a9b58d-78ad-479a-b939-f918cf30ee6f","openai-model-catalog-gpt-5-6-pricing-tiers-en","OpenAI model catalog adds GPT-5.6 pricing tiers","\u003Cp>Teams choosing an OpenAI model now have a clearer split between top-end reasoning, balanced cost, and high-volume workloads. The updated catalog on \u003Ca href=\"https:\u002F\u002Fdevelopers.openai.com\u002Fapi\u002Fdocs\u002Fmodels\" target=\"_blank\" rel=\"noopener\">OpenAI Developers\u003C\u002Fa> puts GPT-5.6 Sol, Terra, and Luna front and center.\u003C\u002Fp>\u003Cp data-speakable=\"summary\">\u003Ca href=\"\u002Ftag\u002Fopenai\">OpenAI\u003C\u002Fa> updated its model catalog with GPT-5.6 tiers and shared multimodal support.\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>數值\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>GPT-5.6 Sol input price\u003C\u002Ftd>\u003Ctd>$5 \u002F MTok\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>GPT-5.6 Sol output price\u003C\u002Ftd>\u003Ctd>$30 \u002F MTok\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>GPT-5.6 Terra input price\u003C\u002Ftd>\u003Ctd>$2.50 \u002F MTok\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>GPT-5.6 Luna input price\u003C\u002Ftd>\u003Ctd>$1 \u002F MTok\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Context window\u003C\u002Ftd>\u003Ctd>1.05M tokens\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Max output\u003C\u002Ftd>\u003Ctd>128K tokens\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>What changed\u003C\u002Fh2>\u003Cp>The docs now organize the main recommendation around three GPT-5.6 variants: Sol for complex reasoning and coding, Terra for a middle ground on cost and intelligence, and Luna for cost-sensitive, high-volume work. OpenAI also says all latest models accept text and image input, return text output, and support multilingual use and vision.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784811767130-fbc1.png\" alt=\"OpenAI model catalog adds GPT-5.6 pricing tiers\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>The catalog ties those models to the \u003Ca href=\"https:\u002F\u002Fdevelopers.openai.com\u002Fapi\u002Fdocs\u002Fresponses\" target=\"_blank\" rel=\"noopener\">Responses API\u003C\u002Fa> and OpenAI client SDKs, which keeps model selection and integration in the same workflow. That matters for teams comparing models before wiring them into production apps.\u003C\u002Fp>\u003Cul>\u003Cli>GPT-5.6 Sol: $5 input, $30 output per MTok\u003C\u002Fli>\u003Cli>GPT-5.6 Terra: $2.50 input, $15 output per MTok\u003C\u002Fli>\u003Cli>GPT-5.6 Luna: $1 input, $6 output per MTok\u003C\u002Fli>\u003Cli>Shared limits: 1.05M-token context, 128K max output\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>Why it matters\u003C\u002Fh2>\u003Cp>For developers, the update makes tradeoffs easier to read at a glance. A single catalog now shows which model fits code-heavy work, which one reduces spend, and which one is tuned for throughput without making teams hunt through separate docs.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784811766778-u5z9.png\" alt=\"OpenAI model catalog adds GPT-5.6 pricing tiers\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>It also signals how OpenAI wants teams to think about model choice: not just by capability, but by workload and price band. That is useful for products that need vision input, multilingual output, or tool use without changing integration patterns.\u003C\u002Fp>\u003Cp>The practical question is no longer whether the model can handle text and images. It is which GPT-5.6 tier best matches latency, budget, and output needs for the next deployment.\u003C\u002Fp>","OpenAI updated its model catalog with GPT-5.6 Sol, Terra, and Luna, plus shared multimodal support and Responses API access.","developers.openai.com","https:\u002F\u002Fdevelopers.openai.com\u002Fapi\u002Fdocs\u002Fmodels",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784811767130-fbc1.png","model-release","en","241f7378-04d7-4fdd-903d-5c32afbea477",[17,18,19,20,21],"OpenAI","GPT-5.6","Responses API","multimodal","pricing",[23,24,25],"OpenAI’s docs now highlight GPT-5.6 Sol, Terra, and Luna as the main model choices.","All latest models support text and image input, text output, multilingual use, and vision.","The catalog pairs model choice with clear pricing, context, and output limits.",0,"2026-07-23T13:02:23.836417+00:00","2026-07-23T13:02:23.826+00:00","1bae1133-d241-4581-9332-fbf39690c319",{"tags":31,"relatedLang":34,"relatedPosts":38},[32],{"name":17,"slug":33},"openai",{"id":15,"slug":35,"title":36,"language":37},"openai-gpt-5-6-pricing-tiers-zh","OpenAI 列出 GPT-5.6 三檔定價","zh",[39,45,51,57,63,69],{"id":40,"slug":41,"title":42,"cover_image":43,"image_url":43,"created_at":44,"category":13},"e64a2d8a-f44b-4d72-a7a6-284c3f2142dd","gemini-3-6-flash-efficiency-over-hype-en","Gemini 3.6 Flash proves Google is betting on efficiency over hype","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784725372598-0tex.png","2026-07-22T13:02:20.942364+00:00",{"id":46,"slug":47,"title":48,"cover_image":49,"image_url":49,"created_at":50,"category":13},"c86c8542-080b-4df4-84ac-bf1ef19cf3de","kimi-k3-820k-rust-codebase-test-en","Kimi K3 handles an 820k-line Rust codebase","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784710992906-set9.png","2026-07-22T09:02:38.668609+00:00",{"id":52,"slug":53,"title":54,"cover_image":55,"image_url":55,"created_at":56,"category":13},"f859c7fa-57a1-4826-8bd4-05d6b6f2ef3f","gpt-5-6-three-variants-lower-token-costs-en","GPT-5.6 arrives in three variants with lower token costs","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784282583335-rqq3.png","2026-07-17T10:02:36.745516+00:00",{"id":58,"slug":59,"title":60,"cover_image":61,"image_url":61,"created_at":62,"category":13},"1e39ce22-07bb-4157-9431-44f1f8dab813","gpt-56-sol-terra-luna-digitalocean-inference-en","GPT-5.6 Sol, Terra, Luna arrive on DigitalOcean","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784273582114-y5io.png","2026-07-17T07:32:36.95126+00:00",{"id":64,"slug":65,"title":66,"cover_image":67,"image_url":67,"created_at":68,"category":13},"c6c336f0-ee1b-4679-a2db-f8f8058d2bbf","grok-4-5-rise-five-numbers-en","Grok 4.5’s rise comes down to 5 numbers","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784235774555-6kne.png","2026-07-16T21:02:32.185149+00:00",{"id":70,"slug":71,"title":72,"cover_image":73,"image_url":73,"created_at":74,"category":13},"fbfaa5f6-56e4-4ff3-8767-acd07c70ef63","grok-4-5-one-prompt-agent-work-en","Grok 4.5 turns agent work into one prompt","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784232197624-3z0v.png","2026-07-16T20:02:54.506174+00:00",[76,81,86,91,96,101,106,111,116,121],{"id":77,"slug":78,"title":79,"created_at":80},"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":82,"slug":83,"title":84,"created_at":85},"eab919b9-fbac-4048-89fc-afad6749ccef","google-gemini-ai-innovations-2026-en","Google's AI Leap with Gemini Innovations in 2026","2026-03-25T16:27:18.841838+00:00",{"id":87,"slug":88,"title":89,"created_at":90},"5f5cfc67-3384-4816-a8f6-19e44d90113d","gap-google-gemini-ai-checkout-en","Gap Teams Up with Google Gemini for AI-Driven Checkout","2026-03-25T16:27:46.483272+00:00",{"id":92,"slug":93,"title":94,"created_at":95},"f6d04567-47f6-49ec-804c-52e61ab91225","ai-model-release-wave-march-2026-en","Navigating the AI Model Release Wave of March 2026","2026-03-25T16:28:45.409716+00:00",{"id":97,"slug":98,"title":99,"created_at":100},"895c150c-569e-4fdf-939d-dade785c990e","small-language-models-transform-ai-en","Small Language Models: Llama 3.2 and Phi-3 Transform AI","2026-03-25T16:30:26.688313+00:00",{"id":102,"slug":103,"title":104,"created_at":105},"38eb1d26-d961-4fd3-ae12-9c4089680f5f","midjourney-v8-alpha-features-pricing-en","Midjourney V8 Alpha: A Deep Dive into Its Features and Pricing","2026-03-26T01:25:36.387587+00:00",{"id":107,"slug":108,"title":109,"created_at":110},"bf36bb9e-3444-4fb8-ab19-0df6bc9d8271","rag-2026-indispensable-ai-bridge-en","RAG in 2026: The Indispensable AI Bridge","2026-03-26T01:28:34.472046+00:00",{"id":112,"slug":113,"title":114,"created_at":115},"60881d6d-2310-44ef-b1fb-7f98e9dd2f0e","xiaomi-mimo-trio-agents-robots-voice-en","Xiaomi’s MiMo trio targets agents, robots, and voice","2026-03-28T03:05:08.899895+00:00",{"id":117,"slug":118,"title":119,"created_at":120},"f063d8d1-41d1-4de4-8ebc-6c40511b9369","xiaomi-mimo-v2-pro-1t-moe-agents-en","Xiaomi MiMo-V2-Pro: 1T MoE Model for Agents","2026-03-28T03:06:19.238032+00:00",{"id":122,"slug":123,"title":124,"created_at":125},"a1379e9a-6785-4ff5-9b0a-8cff55f8264f","cursor-composer-2-started-from-kimi-en","Cursor’s Composer 2 started from Kimi","2026-03-28T03:11:59.132398+00:00"]