{"id":19799,"date":"2026-09-24T15:49:03","date_gmt":"2026-09-24T19:49:03","guid":{"rendered":"https:\/\/wp.glbgpt.com\/?p=19799"},"modified":"2026-09-24T15:49:04","modified_gmt":"2026-09-24T19:49:04","slug":"gpt-6-sol-pricing","status":"publish","type":"post","link":"https:\/\/wp.glbgpt.com\/hub\/zh\/gpt-6-sol-pricing","title":{"rendered":"GPT-6 Sol pricing: API cost, examples, calculator, and subscription choices"},"content":{"rendered":"<p class=\"wp-block-paragraph\"><strong>GPT-6 Sol pricing is easy to misread because two questions get mixed together.<\/strong> An API quote is a metered calculation based on tokens and a provider rate card. A subscription\/workflow route is a broader decision about how often you need one model, several models, and connected tools.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This guide uses GPT-6 Sol in GlobalGPT for the hands-on checks. OpenAI&#8217;s official release page lists GPT-6 Sol at $2 per million input tokens and $10 per million output tokens, with a 90% discount on cached input reads (about $0.20 per million cached input tokens). The calculator below uses those published rates when you enter them and keeps the subscription route separate.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For broader interactive work, <a href=\"https:\/\/www.glbgpt.com\/home?inviter=hub_content_home&amp;login=1\"><strong>GlobalGPT<\/strong><\/a> keeps GPT-6 Sol alongside other models and AI functions in one dashboard. That matters when the real job moves from research to drafting, code, images, video, or a CLI-connected workflow.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img alt=\"\" fetchpriority=\"high\" decoding=\"async\" width=\"2558\" height=\"1366\" src=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/\u5fae\u4fe1\u622a\u56fe_20260923225247.jpg\" class=\"wp-image-19726\"\/><\/figure>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-3e41869c wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-background wp-element-button\" href=\"https:\/\/www.glbgpt.com\/home\/gpt-6-sol?inviter=hub_corner_popup_gpt-6-sol&amp;login=1\" style=\"background:linear-gradient(135deg,rgb(6,147,227) 54%,rgb(155,81,224) 100%)\"><strong>\u5728 GlobalGPT \u4e0a\u8bd5\u7528 GPT-6 Sol<\/strong><\/a><\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\">A <a href=\"https:\/\/www.glbgpt.com\/home?inviter=hub_content_home&amp;login=1\">GlobalGPT \u5de5\u4f5c\u533a<\/a> offers a subscription route across models and AI functions. That is a different purchase from a provider\u2019s metered API calls. The <a href=\"https:\/\/www.glbgpt.com\/hub\/gpt-6-sol-review\/\">GPT-6 Sol review<\/a> explains where the model fits into a broader workflow.<\/p>\n\n\n\n<style>.g6-toc,.g6-note{box-sizing:border-box;max-width:100%;margin:26px 0;padding:18px 20px;border-radius:14px;background:#f1f5ff;border:1px solid #cedaff;color:#17254d;font:16px\/1.6 system-ui,sans-serif}.g6-toc a,.g6-note a{color:#1f55d8}.g6-table-wrap{max-width:100%;overflow-x:auto;margin:20px 0;color:#17254d;font:15px\/1.6 system-ui,sans-serif}.g6-table-wrap table{width:100%;min-width:670px;border-collapse:collapse}.g6-table-wrap td,.g6-table-wrap th{padding:12px 13px;text-align:left;vertical-align:top;border-bottom:1px solid #d6def0}.g6-table-wrap th{background:#eef3ff;color:#172f77}<\/style>\n<nav class=\"g6-toc\" aria-label=\"\u76ee\u5f55\"><strong>\u672c\u9875\u5185\u5bb9<\/strong><ol><li><a href=\"#meaning\">What GPT-6 Sol pricing means<\/a><\/li><li><a href=\"#official\">Official API pricing status<\/a><\/li><li><a href=\"#examples\">Worked estimates<\/a><\/li><li><a href=\"#calculator\">Calculator<\/a><\/li><li><a href=\"#tests\">Hands-on checks<\/a><\/li><li><a href=\"#routes\">API vs GlobalGPT route<\/a><\/li><li><a href=\"#faq\">\u5e38\u89c1\u95ee\u9898<\/a><\/li><\/ol><\/nav>\n\n\n\n<h2 id=\"meaning\" class=\"wp-block-heading\">What \u201cGPT-6 Sol pricing\u201d can mean<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">There are three separate cost questions: the API\u2019s input\/output token meter, optional rules such as cached or batch processing, and the value of a subscription that bundles access and workflow tools. Only the first two can be reduced to a token formula.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>API\uff1a<\/strong> best when software sends predictable requests and you need a traceable per-call estimate.<\/li>\n\n\n\n<li><strong>Subscription\/workflow:<\/strong> best when people switch among models and functions during a broader task.<\/li>\n\n\n\n<li><strong>Mixed route:<\/strong> useful when production calls are programmable but exploration, writing, or multimodal work is interactive.<\/li>\n<\/ul>\n\n\n\n<h2 id=\"official\" class=\"wp-block-heading\">Official API pricing status<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>OpenAI lists GPT-6 Sol at $2 per million input tokens and $10 per million output tokens.<\/strong> The same release page says cached input reads receive a 90% discount, which works out to $0.20 per million cached input tokens. OpenAI presents these rates as 50% lower than GPT-5.6 Sol promotional pricing.<\/p>\n\n\n\n<style>.g6-toc,.g6-note{box-sizing:border-box;max-width:100%;margin:26px 0;padding:18px 20px;border-radius:14px;background:#f1f5ff;border:1px solid #cedaff;color:#17254d;font:16px\/1.6 system-ui,sans-serif}.g6-toc a,.g6-note a{color:#1f55d8}.g6-table-wrap{max-width:100%;overflow-x:auto;margin:20px 0;color:#17254d;font:15px\/1.6 system-ui,sans-serif}.g6-table-wrap table{width:100%;min-width:670px;border-collapse:collapse}.g6-table-wrap td,.g6-table-wrap th{padding:12px 13px;text-align:left;vertical-align:top;border-bottom:1px solid #d6def0}.g6-table-wrap th{background:#eef3ff;color:#172f77}<\/style>\n<div class=\"g6-note\"><strong>Official source:<\/strong> <a href=\"https:\/\/openai.com\/index\/introducing-gpt-6-sol-and-luna\/\">Introducing GPT-6 Sol and Luna<\/a>. Enter these published rates in the calculator below; replace them only when a newer official rate card changes.<\/div>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1440\" height=\"900\" src=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/openai-gpt-6-sol-api-pricing-official_82a665171d654628b1d64c0f36883037-1.webp\" alt=\"OpenAI GPT-6 Sol official API pricing table\" class=\"wp-image-19802\" srcset=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/openai-gpt-6-sol-api-pricing-official_82a665171d654628b1d64c0f36883037-1.webp 1440w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/openai-gpt-6-sol-api-pricing-official_82a665171d654628b1d64c0f36883037-1-300x188.webp 300w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/openai-gpt-6-sol-api-pricing-official_82a665171d654628b1d64c0f36883037-1-1024x640.webp 1024w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/openai-gpt-6-sol-api-pricing-official_82a665171d654628b1d64c0f36883037-1-768x480.webp 768w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/openai-gpt-6-sol-api-pricing-official_82a665171d654628b1d64c0f36883037-1-18x12.webp 18w\" sizes=\"(max-width: 1440px) 100vw, 1440px\" \/><figcaption class=\"wp-element-caption\">OpenAI\u2019s release page lists GPT-6 Sol at $2 per million input tokens and $10 per million output tokens.<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">At the same token count, output costs five times as much as uncached input. Keeping an answer concise can matter as much as shortening the prompt.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1440\" height=\"900\" src=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/openai-gpt-6-sol-cache-pricing-verified_338338de21a647a0843cc0a24520ebb0.webp\" alt=\"OpenAI explanation of the 90 percent cached input-token read discount\" class=\"wp-image-19803\" srcset=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/openai-gpt-6-sol-cache-pricing-verified_338338de21a647a0843cc0a24520ebb0.webp 1440w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/openai-gpt-6-sol-cache-pricing-verified_338338de21a647a0843cc0a24520ebb0-300x188.webp 300w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/openai-gpt-6-sol-cache-pricing-verified_338338de21a647a0843cc0a24520ebb0-1024x640.webp 1024w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/openai-gpt-6-sol-cache-pricing-verified_338338de21a647a0843cc0a24520ebb0-768x480.webp 768w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/openai-gpt-6-sol-cache-pricing-verified_338338de21a647a0843cc0a24520ebb0-18x12.webp 18w\" sizes=\"(max-width: 1440px) 100vw, 1440px\" \/><figcaption class=\"wp-element-caption\">OpenAI applies the 90% discount to cached input reads; the output rate is unchanged.<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">The discount turns $2 per million input tokens into $0.20 per million qualifying cached reads. A repeated prompt is not proof of a cache hit; use recorded cached-token usage when reconciling actual costs.<\/p>\n\n\n\n<h2 id=\"examples\" class=\"wp-block-heading\">Worked estimates at the published rates<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The following examples use the published GPT-6 Sol rates. They show how token counts turn into an API estimate; they are not a subscription price.<\/p>\n\n\n\n<style>.g6-toc,.g6-note{box-sizing:border-box;max-width:100%;margin:26px 0;padding:18px 20px;border-radius:14px;background:#f1f5ff;border:1px solid #cedaff;color:#17254d;font:16px\/1.6 system-ui,sans-serif}.g6-toc a,.g6-note a{color:#1f55d8}.g6-table-wrap{max-width:100%;overflow-x:auto;margin:20px 0;color:#17254d;font:15px\/1.6 system-ui,sans-serif}.g6-table-wrap table{width:100%;min-width:670px;border-collapse:collapse}.g6-table-wrap td,.g6-table-wrap th{padding:12px 13px;text-align:left;vertical-align:top;border-bottom:1px solid #d6def0}.g6-table-wrap th{background:#eef3ff;color:#172f77}<\/style>\n<div class=\"g6-table-wrap\"><table><thead><tr><th>\u573a\u666f<\/th><th>\u8f93\u5165<\/th><th>\u8f93\u51fa<\/th><th>Formula<\/th><th>\u7ed3\u679c<\/th><\/tr><\/thead><tbody><tr><td>Short Q&amp;A<\/td><td>12,500 @ $2\/M<\/td><td>2,000 @ $10\/M<\/td><td>0.0125\u00d72 + 0.002\u00d710<\/td><td>$0.045<\/td><\/tr><tr><td>Structured ledger<\/td><td>1,200,000 @ $2\/M<\/td><td>300,000 @ $10\/M<\/td><td>1.2\u00d72 + 0.3\u00d710<\/td><td>$5.40<\/td><\/tr><tr><td>Cached context<\/td><td>1,000,000 @ $0.20\/M<\/td><td>100,000 @ $10\/M<\/td><td>1\u00d70.20 + 0.1\u00d710<\/td><td>$1.20<\/td><\/tr><\/tbody><\/table><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Divide tokens by one million before multiplying by the per-million rate. Apply the cached rate only to input tokens that actually qualify for a cache hit; charge the remaining input at the standard rate.<\/p>\n\n\n\n<style>.evidence-cache-cost{box-sizing:border-box;max-width:100%;margin:28px 0;padding:22px;border:1px solid #cadbd5;border-radius:12px;background:#f4f9f7;color:#173b3b;font:16px\/1.6 system-ui,sans-serif}.evidence-cache-cost *{box-sizing:border-box}.evidence-cache-cost h3{margin:0 0 14px;color:#143c40;font-size:24px;line-height:1.3}.evidence-cache-cost p,.evidence-cache-cost li{color:#25474b}.evidence-cache-cost .e-row{margin:18px 0}.evidence-cache-cost .e-label{display:flex;justify-content:space-between;gap:12px;flex-wrap:wrap;font-weight:700}.evidence-cache-cost .e-track{height:25px;border-radius:4px;background:#e0eae7;margin:8px 0;overflow:hidden}.evidence-cache-cost .e-stack{display:flex;height:100%}.evidence-cache-cost .e-in{display:block;height:100%;background:#176e75}.evidence-cache-cost .e-out{display:block;height:100%;background:#b9643d}.evidence-cache-cost small{display:block;color:#355a60;font-size:14px}.evidence-cache-cost pre{white-space:pre-wrap;overflow-wrap:anywhere;background:#17383e;color:#f6fcff;padding:16px;border-radius:6px}.evidence-cache-cost table{width:100%;border-collapse:collapse;font-size:14px}.evidence-cache-cost th,.evidence-cache-cost td{text-align:left;vertical-align:top;padding:10px;border-bottom:1px solid #c9dad3}.evidence-cache-cost th{color:#143c40;background:#e2efea}.evidence-cache-cost .e-scroll{overflow-x:auto}.evidence-cache-cost a{color:#075a83}@media(max-width:600px){.evidence-cache-cost{padding:16px}.evidence-cache-cost h3{font-size:21px}}<\/style>\n<section class=\"evidence-cache-cost\" aria-label=\"A 90% input discount does not mean a 90% smaller bill\"><h3>A 90% input discount does not mean a 90% smaller bill<\/h3><p>Calculated example: <strong>1 million total input tokens + 100,000 output tokens<\/strong>. Teal is input cost; rust is output cost. Only the input-cache hit changes.<\/p><div class=\"e-row\"><div class=\"e-label\"><span>No input cache hits<\/span><span>$3.00<\/span><\/div><div class=\"e-track\"><span class=\"e-stack\" style=\"width:100%\"><span class=\"e-in\" style=\"width:66.6667%\"><\/span><span class=\"e-out\" style=\"width:33.333299999999994%\"><\/span><\/span><\/div><small>$2.00 uncached input + $1.00 output<\/small><\/div><div class=\"e-row\"><div class=\"e-label\"><span>All input qualifies for cached reads<\/span><span>$1.20<\/span><\/div><div class=\"e-track\"><span class=\"e-stack\" style=\"width:40%\"><span class=\"e-in\" style=\"width:16.6667%\"><\/span><span class=\"e-out\" style=\"width:83.33330000000001%\"><\/span><\/span><\/div><small>$0.20 cached input + $1.00 output<\/small><\/div><p>The saving is $1.80, or <strong>60% of this example\u2019s total<\/strong>. Output still costs $10 per million tokens. A long answer can therefore dominate the bill even when the prompt is cached.<\/p><pre>Cost = (total input \u2212 cached input) \/ 1M \u00d7 $2\n     + cached input \/ 1M \u00d7 $0.20\n     + output \/ 1M \u00d7 $10<\/pre><small>Derived from <a href=\"https:\/\/openai.com\/index\/introducing-gpt-6-sol-and-luna\/\">OpenAI\u2019s published standard rates and 90% cached-read discount<\/a>. Assumes eligible cache hits; excludes tool charges, taxes and other billing adjustments.<\/small><\/section>\n\n\n\n<h2 id=\"calculator\" class=\"wp-block-heading\">Interactive API and workflow calculator<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Use the published GPT-6 Sol rates as the starting values: $2\/M input, $10\/M output, and $0.20\/M cached input. The route selector explains the GlobalGPT decision boundary without mixing a subscription price into the API arithmetic.<\/p>\n\n\n\n<style>.g6calc{box-sizing:border-box;max-width:100%;margin:32px 0;padding:26px;border:1px solid #c8d6ff;border-radius:18px;background:linear-gradient(145deg,#f5f7ff,#eef7ff);color:#142247;font:16px\/1.55 system-ui,-apple-system,BlinkMacSystemFont,\"Segoe UI\",sans-serif}.g6calc *{box-sizing:border-box}.g6calc h3{margin:0 0 8px;font-size:25px;color:#10245d}.g6calc-grid{display:grid;grid-template-columns:repeat(2,minmax(0,1fr));gap:14px;margin-top:18px}.g6calc label{display:block;font-weight:650}.g6calc input,.g6calc select{width:100%;margin-top:6px;padding:11px 12px;border:1px solid #afc2ef;border-radius:10px;background:#fff;color:#142247;font:inherit}.g6calc button{margin-top:18px;padding:12px 18px;border:0;border-radius:10px;background:#315ee7;color:#fff;font:650 16px\/1.2 system-ui,sans-serif;cursor:pointer}.g6calc-result{margin-top:20px;padding:16px;border-radius:12px;background:#fff;border:1px solid #c4d2f2}.g6calc-error{color:#9b1c1c;font-weight:650}.g6calc-note{font-size:14px;color:#536382}.g6calc-value{font-size:28px;font-weight:750;color:#123bba}@media(max-width:680px){.g6calc{padding:19px}.g6calc-grid{grid-template-columns:1fr;gap:11px}}<\/style>\n<section class=\"g6calc\" aria-label=\"GPT-6 Sol API cost calculator\"><h3>GPT-6 Sol API cost calculator<\/h3><p>Use the published OpenAI rates as your starting point: $2\/M input, $10\/M output, and $0.20\/M cached input. You can replace them when a newer official rate card changes.<\/p><div class=\"g6calc-grid\"><label>Total input tokens (including cached)<input data-g6=\"input\" inputmode=\"decimal\" placeholder=\"e.g. 12500\"><\/label><label>\u8f93\u51fa\u6807\u8bb0<input data-g6=\"output\" inputmode=\"decimal\" placeholder=\"e.g. 2000\"><\/label><label>Input rate per 1M tokens (USD)<input data-g6=\"inputRate\" inputmode=\"decimal\" value=\"2.00\"><\/label><label>Output rate per 1M tokens (USD)<input data-g6=\"outputRate\" inputmode=\"decimal\" value=\"10.00\"><\/label><label>Cached input tokens (optional)<input data-g6=\"cached\" inputmode=\"decimal\" placeholder=\"0\"><\/label><label>Cached input rate per 1M (optional)<input data-g6=\"cachedRate\" inputmode=\"decimal\" value=\"0.20\"><\/label><label>Workflow route<select data-g6=\"route\"><option value=\"api\">Programmable API call<\/option><option value=\"globalgpt\">GlobalGPT subscription\/workflow<\/option><option value=\"mixed\">Mixed route<\/option><\/select><\/label><\/div><button type=\"button\" data-g6=\"calculate\">Calculate estimate<\/button><div class=\"g6calc-result\" data-g6=\"result\" aria-live=\"polite\"><span class=\"g6calc-note\">Enter token counts to see an estimate.<\/span><\/div><p class=\"g6calc-note\">API result = (total input \u2212 cached input) \u00f7 1,000,000 \u00d7 input rate + output \u00f7 1,000,000 \u00d7 output rate + cached input \u00f7 1,000,000 \u00d7 cached rate. Workflow value is shown as a route decision, not a subscription price.<\/p><\/section>\n<script>(()=>{const root=document.currentScript?.previousElementSibling;if(!root)return;const $=s=>root.querySelector(`[data-g6=\"${s}\"]`),result=$(\"result\");function read(name,optional=false){const raw=$(name).value.trim();if(optional&&raw==='')return 0;if(raw==='')throw new Error(name+' is required.');const n=Number(raw);if(!Number.isFinite(n))throw new Error(name+' must be a finite number.');if(n<0)throw new Error(name+' cannot be negative.');return n}function money(n){if(!Number.isFinite(n))throw new Error('The calculated value is too large.');return new Intl.NumberFormat('en-US',{style:'currency',currency:'USD',maximumFractionDigits:8}).format(n)}$(\"calculate\").addEventListener('click',()=>{try{const input=read('input'),output=read('output'),ir=read('inputRate'),or=read('outputRate'),cached=read('cached',true),cr=read('cachedRate',true);if(cached>input)throw new Error('Cached input cannot exceed total input tokens.');const cost=(input-cached)\/1e6*ir+output\/1e6*or+cached\/1e6*cr;if(!Number.isFinite(cost))throw new Error('The calculated value is too large.');const route=$(\"route\").value;const routeText=route==='globalgpt'?'Use the subscription\/workflow route when you value multi-model access and one dashboard across research, writing, coding, and other AI tasks. Verify the current plan and model mapping before purchase.':route==='mixed'?'Use the API for programmable metered calls and GlobalGPT for broader interactive work; compare your real usage pattern before committing.':'Use the API when you need a programmable, metered call and can apply the current provider rate card.';result.innerHTML=`<div class=\"g6calc-value\">${money(cost)}<\/div><p><strong>Estimated API usage cost<\/strong><\/p><p class=\"g6calc-note\">This is arithmetic from the rates you entered.<\/p><p>${routeText}<\/p>`}catch(err){result.innerHTML=`<div class=\"g6calc-error\">${err.message}<\/div><p class=\"g6calc-note\">Check empty, non-numeric, negative, non-finite, or out-of-range cached values and try again.<\/p>`}})})();<\/script>\n\n\n\n<h2 id=\"tests\" class=\"wp-block-heading\">Hands-on GPT-6 Sol checks<\/h2>\n\n\n\n<style>.evidence-pricing-test-scope{box-sizing:border-box;max-width:100%;margin:28px 0;padding:22px;border:1px solid #cadbd5;border-radius:12px;background:#f4f9f7;color:#173b3b;font:16px\/1.6 system-ui,sans-serif}.evidence-pricing-test-scope *{box-sizing:border-box}.evidence-pricing-test-scope h3{margin:0 0 14px;color:#143c40;font-size:24px;line-height:1.3}.evidence-pricing-test-scope p,.evidence-pricing-test-scope li{color:#25474b}.evidence-pricing-test-scope .e-row{margin:18px 0}.evidence-pricing-test-scope .e-label{display:flex;justify-content:space-between;gap:12px;flex-wrap:wrap;font-weight:700}.evidence-pricing-test-scope .e-track{height:25px;border-radius:4px;background:#e0eae7;margin:8px 0;overflow:hidden}.evidence-pricing-test-scope .e-stack{display:flex;height:100%}.evidence-pricing-test-scope .e-in{display:block;height:100%;background:#176e75}.evidence-pricing-test-scope .e-out{display:block;height:100%;background:#b9643d}.evidence-pricing-test-scope small{display:block;color:#355a60;font-size:14px}.evidence-pricing-test-scope pre{white-space:pre-wrap;overflow-wrap:anywhere;background:#17383e;color:#f6fcff;padding:16px;border-radius:6px}.evidence-pricing-test-scope table{width:100%;border-collapse:collapse;font-size:14px}.evidence-pricing-test-scope th,.evidence-pricing-test-scope td{text-align:left;vertical-align:top;padding:10px;border-bottom:1px solid #c9dad3}.evidence-pricing-test-scope th{color:#143c40;background:#e2efea}.evidence-pricing-test-scope .e-scroll{overflow-x:auto}.evidence-pricing-test-scope a{color:#075a83}@media(max-width:600px){.evidence-pricing-test-scope{padding:16px}.evidence-pricing-test-scope h3{font-size:21px}}<\/style>\n<section class=\"evidence-pricing-test-scope\" aria-label=\"What the three hands-on checks actually establish\"><h3>What the three hands-on checks actually establish<\/h3><div class=\"e-scroll\"><table><thead><tr><th>\u68c0\u67e5<\/th><th>\u89c2\u6d4b\u7ed3\u679c<\/th><th>\u652f\u6301\u54ea\u4e9b\u529f\u80fd<\/th><\/tr><\/thead><tbody><tr><td>P01: short arithmetic<\/td><td>$0.041 from the supplied fictional $2\/$8 rates<\/td><td>Following given rates and labeling the estimate fictional; not today\u2019s official bill.<\/td><\/tr><tr><td>P02: structured estimate<\/td><td>$7.20 from the fictional $3\/$12 ledger; 105 actual input tokens<\/td><td>JSON arithmetic and preserving unknowns. The 1.2M token figure was a ledger value, not a long-context test.<\/td><\/tr><tr><td>P03: calculator function<\/td><td>First attempt hit its output limit; the second returned the complete function<\/td><td>Code generation with one disclosed retry. It did not test the Batch API, a provider bill or batch discounts.<\/td><\/tr><\/tbody><\/table><\/div><p>These checks answer how the model handles a pricing task. The official rate card above answers what the provider charges. Keeping those questions separate prevents a model-generated number from becoming a pricing claim.<\/p><\/section>\n\n\n\n<p class=\"wp-block-paragraph\">These checks use GPT-6 Sol in GlobalGPT. They show how the model handles pricing math, structured data, and calculator code; the provider billing table above comes from OpenAI&#8217;s published release page. P01 and P02 retain their first outputs. P03 was retried once because its first response stopped at the output limit before completing the function.<\/p>\n\n\n\n<style>.g6test-p01-short{box-sizing:border-box;max-width:100%;margin:28px 0;padding:22px;border:1px solid #c9d4f5;border-radius:16px;background:#f8faff;color:#17254d;font:16px\/1.6 system-ui,sans-serif;overflow-wrap:anywhere}.g6test-p01-short *{box-sizing:border-box}.g6test-p01-short h3{margin:0 0 12px;color:#142b76;font-size:22px}.g6test-p01-short .tag{display:inline-block;margin:0 6px 7px 0;padding:3px 9px;border-radius:999px;background:#e1eaff;color:#18398e;font-size:13px;font-weight:700}.g6test-p01-short pre{white-space:pre-wrap;overflow-wrap:anywhere;margin:10px 0;padding:14px;border-radius:10px;background:#101b3d;color:#f5f7ff;font:13px\/1.55 ui-monospace,SFMono-Regular,Menlo,monospace}.g6test-p01-short summary{cursor:pointer;font-weight:700;color:#193a94}<\/style>\n<section class=\"g6test-p01-short\" aria-label=\"P01 \u00b7 Short pricing Q&amp;A\"><h3>P01 \u00b7 Short pricing Q&amp;A<\/h3><span class=\"tag\">P01-short \u00b7 first returned output<\/span><span class=\"tag\">HTTP 200<\/span><span class=\"tag\">5.23s<\/span><p><strong>In this check:<\/strong> GPT-6 Sol handled the prompt in GlobalGPT. The result shows how it handles pricing math and structured instructions; it is separate from any provider rate card.<\/p><p><strong>\u4f7f\u7528\u65b9\u6cd5<\/strong> 109 input \u00b7 132 output \u00b7 241 total \u00b7 finish_reason=stop.<\/p><details><summary>View exact prompt and complete output<\/summary><p><strong>\u63d0\u793a<\/strong><\/p><pre>You are testing a pricing explainer. Use only this supplied fictional rate card: input $2.00 per million tokens, output $8.00 per million tokens. Question: what would 12,500 input tokens and 2,000 output tokens cost? Show the formula, label the result as fictional, and say what information is still needed for a real provider quote.<\/pre><p><strong>\u5b8c\u6574\u8f93\u51fa<\/strong><\/p><pre>**Fictional cost:**  \n(12,500 \u00f7 1,000,000 \u00d7 $2.00) + (2,000 \u00f7 1,000,000 \u00d7 $8.00) = **$0.041** (4.1\u00a2).\n\nFor a real provider quote, you\u2019d need the provider and model, their current rates, and any applicable discounts, extra charges, or taxes.<\/pre><\/details><\/section>\n\n\n\n<style>.g6test-p02-structured{box-sizing:border-box;max-width:100%;margin:28px 0;padding:22px;border:1px solid #c9d4f5;border-radius:16px;background:#f8faff;color:#17254d;font:16px\/1.6 system-ui,sans-serif;overflow-wrap:anywhere}.g6test-p02-structured *{box-sizing:border-box}.g6test-p02-structured h3{margin:0 0 12px;color:#142b76;font-size:22px}.g6test-p02-structured .tag{display:inline-block;margin:0 6px 7px 0;padding:3px 9px;border-radius:999px;background:#e1eaff;color:#18398e;font-size:13px;font-weight:700}.g6test-p02-structured pre{white-space:pre-wrap;overflow-wrap:anywhere;margin:10px 0;padding:14px;border-radius:10px;background:#101b3d;color:#f5f7ff;font:13px\/1.55 ui-monospace,SFMono-Regular,Menlo,monospace}.g6test-p02-structured summary{cursor:pointer;font-weight:700;color:#193a94}<\/style>\n<section class=\"g6test-p02-structured\" aria-label=\"P02 \u00b7 Structured cost estimate\"><h3>P02 \u00b7 Structured cost estimate<\/h3><span class=\"tag\">P02-structured \u00b7 first returned output<\/span><span class=\"tag\">HTTP 200<\/span><span class=\"tag\">5.639s<\/span><p><strong>In this check:<\/strong> GPT-6 Sol handled the prompt in GlobalGPT. The result shows how it handles pricing math and structured instructions; it is separate from any provider rate card.<\/p><p><strong>\u4f7f\u7528\u65b9\u6cd5<\/strong> 105 input \u00b7 196 output \u00b7 301 total \u00b7 finish_reason=stop.<\/p><details><summary>View exact prompt and complete output<\/summary><p><strong>\u63d0\u793a<\/strong><\/p><pre>Return a compact JSON object with keys input_cost, output_cost, total_cost, assumptions, unknowns. Use this fictional ledger: 1,200,000 input tokens, 300,000 output tokens; rates are input $3\/M and output $12\/M; cached input rate is not supplied. Do not add a cached discount or any provider fact.<\/pre><p><strong>\u5b8c\u6574\u8f93\u51fa<\/strong><\/p><pre>{&quot;input_cost&quot;:3.60,&quot;output_cost&quot;:3.60,&quot;total_cost&quot;:7.20,&quot;assumptions&quot;:[&quot;USD; all input tokens billed at $3\/M with no cached discount&quot;],&quot;unknowns&quot;:[&quot;cached input rate&quot;,&quot;cached input token count&quot;]}<\/pre><\/details><\/section>\n\n\n\n<style>.g6test-p03-code-batch{box-sizing:border-box;max-width:100%;margin:28px 0;padding:22px;border:1px solid #c9d4f5;border-radius:16px;background:#f8faff;color:#17254d;font:16px\/1.6 system-ui,sans-serif;overflow-wrap:anywhere}.g6test-p03-code-batch *{box-sizing:border-box}.g6test-p03-code-batch h3{margin:0 0 12px;color:#142b76;font-size:22px}.g6test-p03-code-batch .tag{display:inline-block;margin:0 6px 7px 0;padding:3px 9px;border-radius:999px;background:#e1eaff;color:#18398e;font-size:13px;font-weight:700}.g6test-p03-code-batch pre{white-space:pre-wrap;overflow-wrap:anywhere;margin:10px 0;padding:14px;border-radius:10px;background:#101b3d;color:#f5f7ff;font:13px\/1.55 ui-monospace,SFMono-Regular,Menlo,monospace}.g6test-p03-code-batch summary{cursor:pointer;font-weight:700;color:#193a94}<\/style>\n<section class=\"g6test-p03-code-batch\" aria-label=\"P03 \u00b7 Cost-calculator function\"><h3>P03 \u00b7 Cost-calculator function<\/h3><span class=\"tag\">P03-code-batch \u00b7 second attempt after output-limit truncation<\/span><span class=\"tag\">HTTP 200<\/span><span class=\"tag\">13.602s<\/span><p><strong>In this check:<\/strong> GPT-6 Sol handled the prompt in GlobalGPT. The result shows how it handles pricing math and structured instructions; it is separate from any provider rate card.<\/p><p><strong>\u4f7f\u7528\u65b9\u6cd5<\/strong> 129 input \u00b7 757 output \u00b7 886 total \u00b7 finish_reason=stop.<\/p><p><strong>Retry:<\/strong> attempt 1 stopped at max_tokens and was incomplete; retry permitted for malformed output<\/p><details><summary>View exact prompt and complete output<\/summary><p><strong>\u63d0\u793a<\/strong><\/p><pre>Write a complete, runnable JavaScript function estimateTokenCost(inputTokens, outputTokens, inputRatePerMillion, outputRatePerMillion) for a pricing calculator. Requirements: return a clear validation error for empty, non-numeric, negative, or non-finite values; accept zero only when both token counts are zero; use ordinary arithmetic; include one normal example and one very large finite example without causing Infinity; do not claim these rates are real. Return only the complete JavaScript code and a short note.<\/pre><p><strong>\u5b8c\u6574\u8f93\u51fa<\/strong><\/p><pre>```javascript\nfunction estimateTokenCost(\n  inputTokens,\n  outputTokens,\n  inputRatePerMillion,\n  outputRatePerMillion\n) {\n  const values = {\n    inputTokens,\n    outputTokens,\n    inputRatePerMillion,\n    outputRatePerMillion\n  };\n\n  for (const [name, value] of Object.entries(values)) {\n    if (typeof value !== &quot;number&quot; || !Number.isFinite(value)) {\n      return { error: `${name} must be a finite number.` };\n    }\n    if (value &lt; 0) {\n      return { error: `${name} cannot be negative.` };\n    }\n  }\n\n  const bothCountsZero = inputTokens === 0 &amp;&amp; outputTokens === 0;\n  if (!bothCountsZero &amp;&amp; (inputTokens === 0 || outputTokens === 0 ||\n      inputRatePerMillion === 0 || outputRatePerMillion === 0)) {\n    return { error: &quot;Zero values are allowed only when both token counts are zero.&quot; };\n  }\n\n  const cost =\n    (inputTokens \/ 1_000_000) * inputRatePerMillion +\n    (outputTokens \/ 1_000_000) * outputRatePerMillion;\n\n  if (!Number.isFinite(cost)) {\n    return { error: &quot;The calculated cost is not finite.&quot; };\n  }\n\n  return { cost };\n}\n\n\/\/ Illustrative rates only; these are not real prices.\nconsole.log(estimateTokenCost(1_000, 500, 2, 4));\nconsole.log(estimateTokenCost(1e150, 2e150, 3e150, 4e150));\n```\n\nNote: The examples use hypothetical rates.<\/pre><\/details><\/section>\n\n\n\n<h2 id=\"routes\" class=\"wp-block-heading\">API vs GlobalGPT workflow route<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Price is only one part of the decision. An API can be the right instrument for a backend call even when a subscription\/workflow route is better for the surrounding human work.<\/p>\n\n\n\n<style>.g6-toc,.g6-note{box-sizing:border-box;max-width:100%;margin:26px 0;padding:18px 20px;border-radius:14px;background:#f1f5ff;border:1px solid #cedaff;color:#17254d;font:16px\/1.6 system-ui,sans-serif}.g6-toc a,.g6-note a{color:#1f55d8}.g6-table-wrap{max-width:100%;overflow-x:auto;margin:20px 0;color:#17254d;font:15px\/1.6 system-ui,sans-serif}.g6-table-wrap table{width:100%;min-width:670px;border-collapse:collapse}.g6-table-wrap td,.g6-table-wrap th{padding:12px 13px;text-align:left;vertical-align:top;border-bottom:1px solid #d6def0}.g6-table-wrap th{background:#eef3ff;color:#172f77}<\/style>\n<div class=\"g6-table-wrap\"><table><thead><tr><th>\u95ee\u9898<\/th><th>API \u8def\u7531<\/th><th>GlobalGPT workflow route<\/th><\/tr><\/thead><tbody><tr><td>How is cost measured?<\/td><td>Metered tokens from a verified provider rate card.<\/td><td>Current plan terms, access rules, and workflow value; verify the live page.<\/td><\/tr><tr><td>What work fits?<\/td><td>Programmable calls, batch jobs, production services.<\/td><td>Interactive research, writing, coding, and multiple AI functions in one dashboard.<\/td><\/tr><tr><td>What should you verify?<\/td><td>Input\/output units, cache\/batch rules, limits, and model ID.<\/td><td>Current plan price, model mapping, quotas, and usage controls.<\/td><\/tr><tr><td>Where does CLI fit?<\/td><td>Direct application integration.<\/td><td>GlobalGPT\u2019s CLI can connect model access with terminals and existing workflows when available to your account.<\/td><\/tr><\/tbody><\/table><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Collect real token counts from your application, calculate API exposure with the verified rate card, and separately estimate the value of the multi-model dashboard across the rest of the task. Keep those ledgers separate.<\/p>\n\n\n\n<h2 id=\"faq\" class=\"wp-block-heading\">\u5e38\u89c1\u95ee\u9898<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">What is the official GPT-6 Sol API price?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">OpenAI lists GPT-6 Sol at $2 per million input tokens and $10 per million output tokens. Cached input reads receive a 90% discount, equivalent to $0.20 per million cached input tokens on the published release page.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Is GPT-6 Sol included in a GlobalGPT plan?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Do not infer plan inclusion from a model directory. Check the current GlobalGPT plan page and model mapping shown for your account.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">How do I estimate one API request?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Subtract cached input from total input first. Charge uncached input at $2\/M, eligible cached input at $0.20\/M, and output at $10\/M. Add separately documented tool or other charges where applicable.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Should I use an API or a subscription?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Use the API for programmable metered calls with a verified rate card. Consider GlobalGPT when your work spans several models and AI functions in one dashboard. A mixed route can make sense when production calls and interactive work have different needs.<\/p>\n\n\n\n<p class=\"g6-closing\"><strong>Make the rate card do the arithmetic, and make the workflow do the deciding.<\/strong> Recheck live pricing and plan terms before committing budget.<\/p>","protected":false},"excerpt":{"rendered":"<p>GPT-6 Sol pricing is easy to misread because two questions get mixed together. An API quote is a metered calculation based on tokens and a provider rate card. A subscription\/workflow route is a broader decision about how often you need one model, several models, and connected tools. This guide uses GPT-6 Sol in GlobalGPT for [&hellip;]<\/p>","protected":false},"author":7,"featured_media":19800,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_seopress_robots_primary_cat":"","_seopress_titles_title":"GPT-6 Sol Pricing: API Cost, Calculator & Plans","_seopress_titles_desc":"Understand GPT-6 Sol pricing with OpenAI's published token rates, worked API estimates, a validated calculator, hands-on checks, and GlobalGPT workflow choices.","_seopress_robots_index":"","footnotes":""},"categories":[7],"tags":[],"class_list":["post-19799","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-chat"],"acf":[],"_links":{"self":[{"href":"https:\/\/wp.glbgpt.com\/zh\/wp-json\/wp\/v2\/posts\/19799","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.glbgpt.com\/zh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wp.glbgpt.com\/zh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/zh\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/zh\/wp-json\/wp\/v2\/comments?post=19799"}],"version-history":[{"count":2,"href":"https:\/\/wp.glbgpt.com\/zh\/wp-json\/wp\/v2\/posts\/19799\/revisions"}],"predecessor-version":[{"id":19804,"href":"https:\/\/wp.glbgpt.com\/zh\/wp-json\/wp\/v2\/posts\/19799\/revisions\/19804"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/zh\/wp-json\/wp\/v2\/media\/19800"}],"wp:attachment":[{"href":"https:\/\/wp.glbgpt.com\/zh\/wp-json\/wp\/v2\/media?parent=19799"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.glbgpt.com\/zh\/wp-json\/wp\/v2\/categories?post=19799"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.glbgpt.com\/zh\/wp-json\/wp\/v2\/tags?post=19799"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}