{"id":18861,"date":"2026-09-04T08:14:34","date_gmt":"2026-09-04T12:14:34","guid":{"rendered":"https:\/\/wp.glbgpt.com\/?p=18861"},"modified":"2026-10-11T15:05:41","modified_gmt":"2026-10-11T19:05:41","slug":"gpt-6-astra-pricing","status":"publish","type":"post","link":"https:\/\/wp.glbgpt.com\/hub\/gpt-6-astra-pricing","title":{"rendered":"GPT-6 Astra Pricing: API Costs, Tokens, and Limits"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>Quick answer:<\/strong> GPT-6 Astra costs <strong>$10 per 1M input tokens<\/strong>, <strong>$1 per 1M cached input tokens<\/strong>, <strong>$12.50 per 1M cache-write tokens<\/strong>, and <strong>$50 per 1M output tokens<\/strong> at Standard rates while a prompt stays at or below 272K input tokens. Above 272K, the full request moves to long-context pricing: $20 input, $2 cached input, $25 cache writes, and $75 output per 1M tokens. OpenAI documents a 1.05M-token context window and a 128K maximum output.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Those numbers make Astra powerful but expensive enough to require planning. A repeated prompt can become much cheaper when caching works, while a request that barely crosses 272K input tokens can become sharply more expensive. This guide separates official prices from calculated examples and from our September 5, 2026 hands-on API observations.<\/p>\n\n\n\n<figure style=\"box-sizing:border-box;margin:30px 0;padding:clamp(12px,2vw,18px);border:1px solid #b9d9d3;border-top:5px solid #087f8c;border-radius:8px;background:#f2f8f7;color:#17252a;font-family:Arial,sans-serif;box-shadow:0 10px 24px rgba(23,74,77,.08)\"><span style=\"display:inline-block;margin:0 0 11px;padding:5px 8px;background:#dcefeb;color:#086b72;font-size:11px;font-weight:800;text-transform:uppercase\">Official model evidence<\/span><img decoding=\"async\" style=\"display:block;width:100%;height:auto;border:1px solid #c9dfdb;border-radius:5px;background:#fff\" src=\"https:\/\/static.futureshareai.com\/glb_features\/openai-models_e6000c36cbe1497fbb32dd7cdbb9c3fb.webp\" alt=\"OpenAI developer model directory showing GPT-6 Astra\"\/><figcaption style=\"margin:11px 2px 1px;color:#4f696b;font-size:14px;line-height:1.6\">OpenAI lists GPT-6 Astra as its flagship model for complex reasoning and coding. Source: OpenAI Developers, checked September 4, 2026.<\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img alt=\"\" fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"547\" src=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/image-4-1024x547.png\" alt=\"gpt-6 astra on globalgpt\n\" class=\"wp-image-18874\" srcset=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/image-4-1024x547.png 1024w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/image-4-300x160.png 300w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/image-4-768x410.png 768w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/image-4-1536x820.png 1536w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/image-4-18x10.png 18w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/image-4-2048x1094.png 2048w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/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-black-color has-text-color has-background has-link-color wp-element-button\" href=\"https:\/\/www.glbgpt.com\/home\/gpt-6-astra?inviter=hub_popup&amp;login=1\" style=\"background:linear-gradient(135deg,rgb(255,245,203) 0%,rgb(182,227,212) 24%,rgb(51,167,181) 100%)\"><strong>Try GPT Series on GlobalGPT<\/strong><\/a><\/div>\n<\/div>\n\n\n\n<nav aria-label=\"Table of contents\" style=\"box-sizing:border-box;margin:28px 0;padding:20px;border-left:5px solid #087f8c;background:#f2f8f7;color:#17252a;font-family:Arial,sans-serif\"><strong style=\"display:block;margin-bottom:10px;font-size:18px\">GPT-6 Astra pricing at a glance<\/strong><ol style=\"margin:0;padding-left:22px;line-height:1.8\"><li><a href=\"#api-pricing\">API pricing<\/a><\/li><li><a href=\"#cost-examples\">Cost examples<\/a><\/li><li><a href=\"#token-limits\">Tokens and limits<\/a><\/li><li><a href=\"#test-tasks\">Six practical test tasks<\/a><\/li><li><a href=\"#rate-limits\">API rate limits<\/a><\/li><li><a href=\"#who-should-use\">Who should use Astra<\/a><\/li><li><a href=\"#faq\">FAQ<\/a><\/li><\/ol><\/nav>\n\n\n\n<h2 id=\"api-pricing\" class=\"wp-block-heading\">GPT-6 Astra API Pricing<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">OpenAI divides Standard pricing into short and long context. The threshold is based on <strong>input tokens<\/strong>, not total input plus output. Short context covers prompts up to 272K input tokens; long context applies above that point.<\/p>\n\n\n\n<section aria-label=\"GPT-6 Astra Standard API prices\" style=\"box-sizing:border-box;margin:28px 0;padding:clamp(18px,3vw,26px);border:1px solid #b9d9d3;border-top:5px solid #087f8c;border-radius:8px;background:#f2f8f7;color:#17252a;font-family:Arial,sans-serif\"><div style=\"display:flex;flex-wrap:wrap;align-items:end;justify-content:space-between;gap:10px;margin-bottom:18px\"><div><span style=\"display:block;color:#087f8c;font-size:12px;font-weight:800;text-transform:uppercase\">Standard API pricing<\/span><h3 style=\"margin:4px 0 0;font-size:22px\">Cost per 1M tokens<\/h3><\/div><span style=\"padding:6px 9px;border:1px solid #b9d9d3;background:#fff;color:#466466;font-size:12px;font-weight:700\">Checked Sep 4, 2026<\/span><\/div><div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(180px,100%),1fr));gap:10px;margin-bottom:16px\"><div style=\"padding:15px;border:1px solid #c9dfdb;background:#fff\"><span style=\"display:block;color:#567073;font-size:12px\">UNCACHED INPUT<\/span><strong style=\"display:block;margin-top:4px;color:#087f8c;font-size:25px\">$10<\/strong><span style=\"font-size:13px\">short context<\/span><\/div><div style=\"padding:15px;border:1px solid #c9dfdb;background:#fff\"><span style=\"display:block;color:#567073;font-size:12px\">CACHED INPUT<\/span><strong style=\"display:block;margin-top:4px;color:#087f8c;font-size:25px\">$1<\/strong><span style=\"font-size:13px\">short context<\/span><\/div><div style=\"padding:15px;border:1px solid #c9dfdb;background:#fff\"><span style=\"display:block;color:#567073;font-size:12px\">CACHE WRITE<\/span><strong style=\"display:block;margin-top:4px;color:#087f8c;font-size:25px\">$12.50<\/strong><span style=\"font-size:13px\">short context<\/span><\/div><div style=\"padding:15px;border:1px solid #c9dfdb;background:#fff\"><span style=\"display:block;color:#567073;font-size:12px\">OUTPUT<\/span><strong style=\"display:block;margin-top:4px;color:#087f8c;font-size:25px\">$50<\/strong><span style=\"font-size:13px\">short context<\/span><\/div><\/div><div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(280px,100%),1fr));gap:10px\"><div style=\"padding:16px;border-left:5px solid #087f8c;background:#e4f2ef\"><strong style=\"display:block\">Short context: 272K input or less<\/strong><span style=\"display:block;margin-top:6px;line-height:1.55\">Input $10 | Cached $1 | Write $12.50 | Output $50<\/span><\/div><div style=\"padding:16px;border-left:5px solid #e07152;background:#fff2ed\"><strong style=\"display:block;color:#a8452f\">Long context: above 272K input<\/strong><span style=\"display:block;margin-top:6px;line-height:1.55\">Input $20 | Cached $2 | Write $25 | Output $75<\/span><\/div><\/div><p style=\"margin:14px 0 0;color:#567073;font-size:13px;line-height:1.55\">The higher band applies to the entire request. Prices shown are per 1M tokens.<\/p><\/section>\n\n\n\n<figure style=\"box-sizing:border-box;margin:30px 0;padding:clamp(12px,2vw,18px);border:1px solid #b9d9d3;border-top:5px solid #087f8c;border-radius:8px;background:#f2f8f7;color:#17252a;font-family:Arial,sans-serif;box-shadow:0 10px 24px rgba(23,74,77,.08)\"><span style=\"display:inline-block;margin:0 0 11px;padding:5px 8px;background:#dcefeb;color:#086b72;font-size:11px;font-weight:800;text-transform:uppercase\">Official pricing evidence<\/span><img decoding=\"async\" style=\"display:block;width:100%;height:auto;border:1px solid #c9dfdb;border-radius:5px;background:#fff\" src=\"https:\/\/static.futureshareai.com\/glb_features\/openai-api-pricing_6512571ac2dd4cf79519d073447796c7.webp\" alt=\"GPT-6 Astra API pricing for short and long contexts\"\/><figcaption style=\"margin:11px 2px 1px;color:#4f696b;font-size:14px;line-height:1.6\">OpenAI&#8217;s GPT-6 Astra prices per 1M tokens, checked September 4, 2026.<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">The most important detail is that crossing 272K does not create a mixed-rate bill. According to <a href=\"https:\/\/developers.openai.com\/api\/docs\/pricing\">OpenAI&#8217;s API pricing documentation<\/a>, the higher rates apply to the entire request when input exceeds the threshold. Teams comparing Astra with an earlier flagship should therefore look beyond the headline input price; our <a href=\"https:\/\/www.glbgpt.com\/hub\/gpt-5-6-pricing\/\">GPT-5.6 pricing guide<\/a> provides useful context for that budget discussion.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Prompt caching can substantially reduce repeat-input costs, but cache creation is not free. A cache write costs 1.25 times the applicable uncached input rate. Batch and Flex processing cost 50% of Standard, while Fast costs twice the applicable rate. Eligible regional processing adds 10%, and Fast is unavailable for Astra with EU data residency.<\/p>\n\n\n\n<h2 id=\"cost-examples\" class=\"wp-block-heading\">How Much Does a GPT-6 Astra API Call Cost?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">For a Standard request, calculate each billed token category separately, then add the results:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\"><strong>Total cost = uncached input cost + cached input cost + cache-write cost + output cost.<\/strong><\/p>\n<\/blockquote>\n\n\n\n<section aria-label=\"GPT-6 Astra API cost examples\" style=\"box-sizing:border-box;margin:26px 0;padding:clamp(18px,3vw,26px);border:1px solid #b9d9d3;border-radius:8px;background:#f2f8f7;color:#17252a;font-family:Arial,sans-serif\"><div style=\"display:grid;gap:10px\"><div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(190px,100%),1fr));align-items:center;gap:10px;padding:14px;background:#fff;border-left:5px solid #087f8c\"><strong>12,500 input + 2,000 output<\/strong><code style=\"overflow-wrap:anywhere;color:#466466\">(0.0125 x $10) + (0.002 x $50)<\/code><strong style=\"color:#087f8c;font-size:23px\">$0.225<\/strong><\/div><div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(190px,100%),1fr));align-items:center;gap:10px;padding:14px;background:#fff;border-left:5px solid #087f8c\"><strong>100K uncached + 5K output<\/strong><code style=\"overflow-wrap:anywhere;color:#466466\">(0.1 x $10) + (0.005 x $50)<\/code><strong style=\"color:#087f8c;font-size:23px\">$1.25<\/strong><\/div><div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(190px,100%),1fr));align-items:center;gap:10px;padding:14px;background:#fff;border-left:5px solid #53a99a\"><strong>100K cached + 5K output<\/strong><code style=\"overflow-wrap:anywhere;color:#466466\">(0.1 x $1) + (0.005 x $50)<\/code><strong style=\"color:#087f8c;font-size:23px\">$0.35<\/strong><\/div><div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(190px,100%),1fr));align-items:center;gap:10px;padding:14px;background:#fff2ed;border-left:5px solid #e07152\"><strong>300K long context + 10K output<\/strong><code style=\"overflow-wrap:anywhere;color:#7b554b\">(0.3 x $20) + (0.01 x $75)<\/code><strong style=\"color:#b64b32;font-size:23px\">$6.75<\/strong><\/div><\/div><p style=\"margin:13px 0 0;color:#567073;font-size:13px;line-height:1.55\">Standard-rate estimates exclude tools, regional uplifts, and other separately billed services.<\/p><\/section>\n\n\n\n<p class=\"wp-block-paragraph\">The 100K examples show why reusable prefixes matter: the model-token estimate falls from $1.25 to $0.35 when all input qualifies as cached. That is a pricing illustration, not a promise that every repeated prompt will produce a cache hit. For broader multi-model budgeting, compare the workflow assumptions in our <a href=\"https:\/\/www.glbgpt.com\/hub\/all-in-one-ai-models\/\">all-in-one AI models guide<\/a>.<\/p>\n\n\n\n<h2 id=\"token-limits\" class=\"wp-block-heading\">GPT-6 Astra Tokens, Context Window, and Output Limits<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The <a href=\"https:\/\/developers.openai.com\/api\/docs\/models\/gpt-6-astra\">official GPT-6 Astra model page<\/a> documents a <strong>1,050,000-token context window<\/strong> and a <strong>128,000-token maximum output<\/strong>. Its knowledge cutoff is April 30, 2026. It accepts text and image inputs, returns text, and supports the reasoning-effort settings <code>low<\/code>, <code>medium<\/code>, <code>high<\/code>, <code>xhigh<\/code>, and <code>max<\/code>.<\/p>\n\n\n\n<figure style=\"box-sizing:border-box;margin:30px 0;padding:clamp(12px,2vw,18px);border:1px solid #b9d9d3;border-top:5px solid #087f8c;border-radius:8px;background:#f2f8f7;color:#17252a;font-family:Arial,sans-serif;box-shadow:0 10px 24px rgba(23,74,77,.08)\"><span style=\"display:inline-block;margin:0 0 11px;padding:5px 8px;background:#dcefeb;color:#086b72;font-size:11px;font-weight:800;text-transform:uppercase\">Official specification<\/span><img decoding=\"async\" style=\"display:block;width:100%;height:auto;border:1px solid #c9dfdb;border-radius:5px;background:#fff\" src=\"https:\/\/static.futureshareai.com\/glb_features\/openai-gpt-6-astra-model_874ad243890a49769b8fd58db5b75031.webp\" alt=\"GPT-6 Astra model specifications in OpenAI developer documentation\"\/><figcaption style=\"margin:11px 2px 1px;color:#4f696b;font-size:14px;line-height:1.6\">GPT-6 Astra supports a 1.05M context window and up to 128K output tokens. Source: OpenAI Developers.<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">A large context window is capacity, not a recommendation to fill every request. Retrieval, document selection, summarization, and prompt structure can keep the input below the 272K price boundary. Model choice matters too: developers focused on programming can compare the tradeoffs in our <a href=\"https:\/\/www.glbgpt.com\/hub\/best-ai-model-for-coding\/\">best AI model for coding<\/a> analysis rather than assuming the model with the largest window is automatically the best fit.<\/p>\n\n\n\n<h2 id=\"test-tasks\" class=\"wp-block-heading\">Six Practical GPT-6 Astra API Test Tasks<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Testing status:<\/strong> GPT-6 Astra became available through the Broly Anywhere compatibility API on September 5, 2026. We ran the six disclosed tasks below. Five produced usable HTTP 200 observations; the 272K boundary request ended with a transport failure and remains unverified.<\/p>\n\n\n\n<section data-astra-tests style=\"box-sizing:border-box;margin:28px 0;padding:clamp(16px,3vw,26px);border:1px solid #b9d9d3;border-top:5px solid #087f8c;border-radius:8px;background:#f2f8f7;color:#17252a;font-family:Arial,sans-serif\"><div style=\"display:flex;flex-wrap:wrap;align-items:end;justify-content:space-between;gap:10px;margin-bottom:18px\"><div><span style=\"display:block;color:#087f8c;font-size:12px;font-weight:800;text-transform:uppercase\">Hands-on API test \u00b7 Sep 5, 2026<\/span><h3 style=\"margin:4px 0 0;font-size:22px\">Prompts and observed results<\/h3><\/div><span style=\"padding:6px 9px;background:#dcefeb;color:#086b72;font-size:12px;font-weight:800\">Broly Anywhere compatibility API<\/span><\/div><p style=\"margin:0 0 18px;color:#466466;line-height:1.65\">Model ID <code>gpt-6-astra<\/code>. Each result is one observed run, not an official benchmark. Wall-clock time includes gateway and upstream delay.<\/p><article style=\"margin:0 0 14px;padding:clamp(15px,2.5vw,21px);border:1px solid #c9dfdb;border-left:5px solid #087f8c;background:#fff\"><div style=\"display:flex;flex-wrap:wrap;align-items:center;justify-content:space-between;gap:9px\"><div style=\"display:flex;align-items:center;gap:10px\"><strong style=\"display:grid;place-items:center;width:34px;height:34px;background:#087f8c;color:#fff\">01<\/strong><h4 style=\"margin:0;font-size:19px\">Basic token accounting<\/h4><\/div><span style=\"padding:5px 8px;background:#e1f1ed;color:#176c62;font-size:12px;font-weight:800\">HTTP 200 \u00b7 3.84s<\/span><\/div><p style=\"margin:12px 0 8px;line-height:1.6\">The model returned the expected theoretical calculation. Actual API usage was 54 input and 26 output tokens.<\/p><div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(280px,100%),1fr));gap:10px\"><div><div style=\"display:flex;align-items:center;justify-content:space-between;gap:8px;margin-bottom:6px\"><strong>Task \/ Prompt<\/strong><button type=\"button\" data-copy-target=\"astra-prompt-01\" style=\"border:0;padding:7px 10px;background:#087f8c;color:#fff;font-weight:800;cursor:pointer\">Copy<\/button><\/div><textarea id=\"astra-prompt-01\" readonly style=\"box-sizing:border-box;width:100%;height:150px;padding:12px;border:1px solid #b9d9d3;background:#f6fbfa;color:#173135;font:13px\/1.55 Consolas,monospace;resize:vertical\">Return JSON only with keys input_cost, output_cost, and total_cost. Calculate the cost of 12,500 uncached input tokens and 2,000 output tokens using rates of $10 and $50 per 1M tokens.<\/textarea><\/div><div><div style=\"display:flex;align-items:center;justify-content:space-between;gap:8px;margin-bottom:6px\"><strong>Observed result<\/strong><button type=\"button\" data-copy-target=\"astra-result-01\" style=\"border:0;padding:7px 10px;background:#e07152;color:#fff;font-weight:800;cursor:pointer\">Copy<\/button><\/div><textarea id=\"astra-result-01\" readonly style=\"box-sizing:border-box;width:100%;height:150px;padding:12px;border:1px solid #b9d9d3;background:#17252a;color:#eaf6f3;font:13px\/1.55 Consolas,monospace;resize:vertical\">{&#8220;input_cost&#8221;:0.125,&#8221;output_cost&#8221;:0.1,&#8221;total_cost&#8221;:0.225}\n\nUsage: 54 input \u00b7 26 output \u00b7 0 reasoning \u00b7 80 total tokens\nReturned service tier: default<\/textarea><\/div><\/div><\/article><article style=\"margin:0 0 14px;padding:clamp(15px,2.5vw,21px);border:1px solid #c9dfdb;border-left:5px solid #53a99a;background:#fff\"><div style=\"display:flex;flex-wrap:wrap;align-items:center;justify-content:space-between;gap:9px\"><div style=\"display:flex;align-items:center;gap:10px\"><strong style=\"display:grid;place-items:center;width:34px;height:34px;background:#53a99a;color:#fff\">02<\/strong><h4 style=\"margin:0;font-size:19px\">Prompt caching<\/h4><\/div><span style=\"padding:5px 8px;background:#fff2ed;color:#a8452f;font-size:12px;font-weight:800\">No cache hit observed<\/span><\/div><p style=\"margin:12px 0 8px;line-height:1.6\">Both lookups were correct, but the repeated prefix registered zero cached and zero cache-write tokens in both responses.<\/p><div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(280px,100%),1fr));gap:10px\"><div><div style=\"display:flex;align-items:center;justify-content:space-between;gap:8px;margin-bottom:6px\"><strong>Task \/ Prompt<\/strong><button type=\"button\" data-copy-target=\"astra-prompt-02\" style=\"border:0;padding:7px 10px;background:#087f8c;color:#fff;font-weight:800;cursor:pointer\">Copy<\/button><\/div><textarea id=\"astra-prompt-02\" readonly style=\"box-sizing:border-box;width:100%;height:150px;padding:12px;border:1px solid #b9d9d3;background:#f6fbfa;color:#173135;font:13px\/1.55 Consolas,monospace;resize:vertical\">Create records 1 through 420 in this format:\nRecord N: Orion Systems processed invoice 1000+N-1 in region west-(N-1 modulo 4).\n\nRequest 1: Return only the invoice number in Record 390.\nRequest 2: Repeat the exact prefix and return only the region in Record 391.<\/textarea><\/div><div><div style=\"display:flex;align-items:center;justify-content:space-between;gap:8px;margin-bottom:6px\"><strong>Observed result<\/strong><button type=\"button\" data-copy-target=\"astra-result-02\" style=\"border:0;padding:7px 10px;background:#e07152;color:#fff;font-weight:800;cursor:pointer\">Copy<\/button><\/div><textarea id=\"astra-result-02\" readonly style=\"box-sizing:border-box;width:100%;height:150px;padding:12px;border:1px solid #b9d9d3;background:#17252a;color:#eaf6f3;font:13px\/1.55 Consolas,monospace;resize:vertical\">First: 1389 \u00b7 7,156 input \u00b7 0 cached \u00b7 6 output \u00b7 3.25s\nRepeat: west-2 \u00b7 7,155 input \u00b7 0 cached \u00b7 7 output \u00b7 3.14s\n\nInterpretation: no cache hit was observed in this compatibility-API test.<\/textarea><\/div><\/div><\/article><article style=\"margin:0 0 14px;padding:clamp(15px,2.5vw,21px);border:1px solid #c9dfdb;border-left:5px solid #e07152;background:#fff\"><div style=\"display:flex;flex-wrap:wrap;align-items:center;justify-content:space-between;gap:9px\"><div style=\"display:flex;align-items:center;gap:10px\"><strong style=\"display:grid;place-items:center;width:34px;height:34px;background:#e07152;color:#fff\">03<\/strong><h4 style=\"margin:0;font-size:19px\">272K pricing boundary<\/h4><\/div><span style=\"padding:5px 8px;background:#fff2ed;color:#a8452f;font-size:12px;font-weight:800\">Transport failed \u00b7 31.42s<\/span><\/div><p style=\"margin:12px 0 8px;line-height:1.6\">The large synthetic request ended before an HTTP response arrived. No usage object was returned, so the rate band and billing behavior remain unmeasured.<\/p><div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(280px,100%),1fr));gap:10px\"><div><div style=\"display:flex;align-items:center;justify-content:space-between;gap:8px;margin-bottom:6px\"><strong>Task \/ Prompt<\/strong><button type=\"button\" data-copy-target=\"astra-prompt-03\" style=\"border:0;padding:7px 10px;background:#087f8c;color:#fff;font-weight:800;cursor:pointer\">Copy<\/button><\/div><textarea id=\"astra-prompt-03\" readonly style=\"box-sizing:border-box;width:100%;height:150px;padding:12px;border:1px solid #b9d9d3;background:#f6fbfa;color:#173135;font:13px\/1.55 Consolas,monospace;resize:vertical\">Generate 72,000 lines in this format:\nItem N: stable synthetic context for the 272K pricing boundary test.\n\nThen append:\nReturn only the number of the final item.<\/textarea><\/div><div><div style=\"display:flex;align-items:center;justify-content:space-between;gap:8px;margin-bottom:6px\"><strong>Observed result<\/strong><button type=\"button\" data-copy-target=\"astra-result-03\" style=\"border:0;padding:7px 10px;background:#e07152;color:#fff;font-weight:800;cursor:pointer\">Copy<\/button><\/div><textarea id=\"astra-result-03\" readonly style=\"box-sizing:border-box;width:100%;height:150px;padding:12px;border:1px solid #b9d9d3;background:#17252a;color:#eaf6f3;font:13px\/1.55 Consolas,monospace;resize:vertical\">Transport error: TypeError: fetch failed\nElapsed: 31.423 seconds\nHTTP status: unavailable\nUsage: unavailable\nMeasured cost: unavailable<\/textarea><\/div><\/div><\/article><article style=\"margin:0 0 14px;padding:clamp(15px,2.5vw,21px);border:1px solid #c9dfdb;border-left:5px solid #087f8c;background:#fff\"><div style=\"display:flex;flex-wrap:wrap;align-items:center;justify-content:space-between;gap:9px\"><div style=\"display:flex;align-items:center;gap:10px\"><strong style=\"display:grid;place-items:center;width:34px;height:34px;background:#087f8c;color:#fff\">04<\/strong><h4 style=\"margin:0;font-size:19px\">Low vs max reasoning<\/h4><\/div><span style=\"padding:5px 8px;background:#e1f1ed;color:#176c62;font-size:12px;font-weight:800\">Both answers correct<\/span><\/div><p style=\"margin:12px 0 8px;line-height:1.6\">Both runs calculated $265.20. Max took longer and returned 88 reasoning tokens; this single arithmetic task showed no answer-quality gain.<\/p><div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(280px,100%),1fr));gap:10px\"><div><div style=\"display:flex;align-items:center;justify-content:space-between;gap:8px;margin-bottom:6px\"><strong>Task \/ Prompt<\/strong><button type=\"button\" data-copy-target=\"astra-prompt-04\" style=\"border:0;padding:7px 10px;background:#087f8c;color:#fff;font-weight:800;cursor:pointer\">Copy<\/button><\/div><textarea id=\"astra-prompt-04\" readonly style=\"box-sizing:border-box;width:100%;height:150px;padding:12px;border:1px solid #b9d9d3;background:#f6fbfa;color:#173135;font:13px\/1.55 Consolas,monospace;resize:vertical\">A SaaS API processes 18 million input tokens and 3 million output tokens monthly. Cached input is 40% of all input tokens. Using $10\/M uncached input, $1\/M cached input, and $50\/M output, calculate the monthly cost. Show the arithmetic briefly.<\/textarea><\/div><div><div style=\"display:flex;align-items:center;justify-content:space-between;gap:8px;margin-bottom:6px\"><strong>Observed result<\/strong><button type=\"button\" data-copy-target=\"astra-result-04\" style=\"border:0;padding:7px 10px;background:#e07152;color:#fff;font-weight:800;cursor:pointer\">Copy<\/button><\/div><textarea id=\"astra-result-04\" readonly style=\"box-sizing:border-box;width:100%;height:150px;padding:12px;border:1px solid #b9d9d3;background:#17252a;color:#eaf6f3;font:13px\/1.55 Consolas,monospace;resize:vertical\">Low: $265.20 \u00b7 65 input \u00b7 143 output \u00b7 0 reasoning \u00b7 6.43s\nMax: $265.20 \u00b7 65 input \u00b7 227 output \u00b7 88 reasoning \u00b7 9.31s\n\nObserved difference: max used 84 more output tokens and took 2.88s longer.<\/textarea><\/div><\/div><\/article><article style=\"margin:0 0 14px;padding:clamp(15px,2.5vw,21px);border:1px solid #c9dfdb;border-left:5px solid #53a99a;background:#fff\"><div style=\"display:flex;flex-wrap:wrap;align-items:center;justify-content:space-between;gap:9px\"><div style=\"display:flex;align-items:center;gap:10px\"><strong style=\"display:grid;place-items:center;width:34px;height:34px;background:#53a99a;color:#fff\">05<\/strong><h4 style=\"margin:0;font-size:19px\">128K output parameter<\/h4><\/div><span style=\"padding:5px 8px;background:#fff2ed;color:#a8452f;font-size:12px;font-weight:800\">Gateway accepted 128,001<\/span><\/div><p style=\"margin:12px 0 8px;line-height:1.6\">The compatibility endpoint returned OK instead of rejecting one token above the official maximum. This is gateway behavior, not evidence of a larger supported output window.<\/p><div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(280px,100%),1fr));gap:10px\"><div><div style=\"display:flex;align-items:center;justify-content:space-between;gap:8px;margin-bottom:6px\"><strong>Task \/ Prompt<\/strong><button type=\"button\" data-copy-target=\"astra-prompt-05\" style=\"border:0;padding:7px 10px;background:#087f8c;color:#fff;font-weight:800;cursor:pointer\">Copy<\/button><\/div><textarea id=\"astra-prompt-05\" readonly style=\"box-sizing:border-box;width:100%;height:150px;padding:12px;border:1px solid #b9d9d3;background:#f6fbfa;color:#173135;font:13px\/1.55 Consolas,monospace;resize:vertical\">model: gpt-6-astra\nmax_output_tokens: 128001\ninput: Reply with OK.<\/textarea><\/div><div><div style=\"display:flex;align-items:center;justify-content:space-between;gap:8px;margin-bottom:6px\"><strong>Observed result<\/strong><button type=\"button\" data-copy-target=\"astra-result-05\" style=\"border:0;padding:7px 10px;background:#e07152;color:#fff;font-weight:800;cursor:pointer\">Copy<\/button><\/div><textarea id=\"astra-result-05\" readonly style=\"box-sizing:border-box;width:100%;height:150px;padding:12px;border:1px solid #b9d9d3;background:#17252a;color:#eaf6f3;font:13px\/1.55 Consolas,monospace;resize:vertical\">HTTP 200 \u00b7 output: OK\n10 input \u00b7 5 output \u00b7 15 total tokens\nElapsed: 2.17s\nInterpretation: no parameter validation error from this gateway.<\/textarea><\/div><\/div><\/article><article style=\"margin:0 0 14px;padding:clamp(15px,2.5vw,21px);border:1px solid #c9dfdb;border-left:5px solid #53a99a;background:#fff\"><div style=\"display:flex;flex-wrap:wrap;align-items:center;justify-content:space-between;gap:9px\"><div style=\"display:flex;align-items:center;gap:10px\"><strong style=\"display:grid;place-items:center;width:34px;height:34px;background:#53a99a;color:#fff\">06<\/strong><h4 style=\"margin:0;font-size:19px\">Rate headers and service tiers<\/h4><\/div><span style=\"padding:5px 8px;background:#fff2ed;color:#a8452f;font-size:12px;font-weight:800\">Requests returned default<\/span><\/div><p style=\"margin:12px 0 8px;line-height:1.6\">Normal responses contained no remaining-request or remaining-token headers. Flex and priority probes both succeeded but returned service_tier: default.<\/p><div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(280px,100%),1fr));gap:10px\"><div><div style=\"display:flex;align-items:center;justify-content:space-between;gap:8px;margin-bottom:6px\"><strong>Task \/ Prompt<\/strong><button type=\"button\" data-copy-target=\"astra-prompt-06\" style=\"border:0;padding:7px 10px;background:#087f8c;color:#fff;font-weight:800;cursor:pointer\">Copy<\/button><\/div><textarea id=\"astra-prompt-06\" readonly style=\"box-sizing:border-box;width:100%;height:150px;padding:12px;border:1px solid #b9d9d3;background:#f6fbfa;color:#173135;font:13px\/1.55 Consolas,monospace;resize:vertical\">Run separately with service_tier set to flex and priority:\nmodel: gpt-6-astra\ninput: Reply only with OK.\nmax_output_tokens: 20<\/textarea><\/div><div><div style=\"display:flex;align-items:center;justify-content:space-between;gap:8px;margin-bottom:6px\"><strong>Observed result<\/strong><button type=\"button\" data-copy-target=\"astra-result-06\" style=\"border:0;padding:7px 10px;background:#e07152;color:#fff;font-weight:800;cursor:pointer\">Copy<\/button><\/div><textarea id=\"astra-result-06\" readonly style=\"box-sizing:border-box;width:100%;height:150px;padding:12px;border:1px solid #b9d9d3;background:#17252a;color:#eaf6f3;font:13px\/1.55 Consolas,monospace;resize:vertical\">Flex requested: HTTP 200 \u00b7 returned default \u00b7 12.50s\nPriority requested: HTTP 200 \u00b7 returned default \u00b7 9.60s\nBoth: 11 input \u00b7 5 output \u00b7 response OK\nRate-limit remaining\/reset headers: absent<\/textarea><\/div><\/div><\/article><p data-copy-status role=\"status\" aria-live=\"polite\" style=\"min-height:20px;margin:12px 0 0;color:#087f8c;font-size:13px;font-weight:800\"><\/p><script>(function(){var root=document.currentScript.closest('[data-astra-tests]');if(!root)return;root.addEventListener('click',async function(event){var button=event.target.closest('[data-copy-target]');if(!button)return;var box=root.querySelector('#'+button.getAttribute('data-copy-target'));var status=root.querySelector('[data-copy-status]');var fallback=function(){box.focus();box.select();box.setSelectionRange(0,box.value.length);status.textContent='Text selected. Press Ctrl\/Cmd+C.';};try{if(!navigator.clipboard||!navigator.clipboard.writeText)throw new Error('Clipboard unavailable');var timer;await Promise.race([navigator.clipboard.writeText(box.value),new Promise(function(_,reject){timer=setTimeout(function(){reject(new Error('Clipboard timeout'));},1200)})]);clearTimeout(timer);status.textContent='Copied.';}catch(error){fallback();}});})();<\/script><\/section>\n\n\n\n<h2 id=\"rate-limits\" class=\"wp-block-heading\">GPT-6 Astra API Rate Limits<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">GPT-6 Astra is not supported on the Free tier. Published limits rise by usage tier, but the live project headers remain the practical source for remaining capacity and reset timing.<\/p>\n\n\n\n<section aria-label=\"GPT-6 Astra rate limits by usage tier\" style=\"box-sizing:border-box;margin:28px 0;padding:clamp(18px,3vw,26px);border:1px solid #b9d9d3;border-top:5px solid #087f8c;border-radius:8px;background:#f2f8f7;color:#17252a;font-family:Arial,sans-serif\"><div style=\"display:flex;flex-wrap:wrap;align-items:end;justify-content:space-between;gap:10px;margin-bottom:18px\"><div><span style=\"display:block;color:#087f8c;font-size:12px;font-weight:800;text-transform:uppercase\">Published usage tiers<\/span><h3 style=\"margin:4px 0 0;font-size:22px\">Capacity rises sharply at Tier 5<\/h3><\/div><span style=\"padding:6px 9px;border:1px solid #b9d9d3;background:#fff;color:#466466;font-size:12px;font-weight:700\">Free tier unsupported<\/span><\/div><div style=\"display:flex;align-items:end;gap:8px;height:190px;margin:0 0 18px;padding:12px 8px 0;border-bottom:2px solid #7da9a3\"><div style=\"display:flex;flex:1;min-width:0;height:34%;align-items:start;justify-content:center;padding:8px 3px;background:#b9ddd6;color:#173f43;font-size:12px;font-weight:800\">T1<\/div><div style=\"display:flex;flex:1;min-width:0;height:46%;align-items:start;justify-content:center;padding:8px 3px;background:#96cec4;color:#173f43;font-size:12px;font-weight:800\">T2<\/div><div style=\"display:flex;flex:1;min-width:0;height:58%;align-items:start;justify-content:center;padding:8px 3px;background:#70b9ac;color:#143b3f;font-size:12px;font-weight:800\">T3<\/div><div style=\"display:flex;flex:1;min-width:0;height:72%;align-items:start;justify-content:center;padding:8px 3px;background:#29988d;color:#fff;font-size:12px;font-weight:800\">T4<\/div><div style=\"display:flex;flex:1;min-width:0;height:94%;align-items:start;justify-content:center;padding:8px 3px;background:#e07152;color:#fff;font-size:12px;font-weight:800\">T5<\/div><\/div><div role=\"table\" aria-label=\"Exact GPT-6 Astra rate limits\" style=\"display:grid;gap:7px\"><div role=\"row\" style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(130px,100%),1fr));gap:6px;padding:10px;background:#dfeeea;font-size:12px;font-weight:800\"><span>Tier<\/span><span>Requests\/min<\/span><span>Tokens\/min<\/span><span>Batch queue<\/span><\/div><div role=\"row\" style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(130px,100%),1fr));gap:6px;padding:11px;background:#fff\"><strong>Tier 1<\/strong><span>500 RPM<\/span><span>500K TPM<\/span><span>1.5M tokens<\/span><\/div><div role=\"row\" style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(130px,100%),1fr));gap:6px;padding:11px;background:#fff\"><strong>Tier 2<\/strong><span>5,000 RPM<\/span><span>1M TPM<\/span><span>3M tokens<\/span><\/div><div role=\"row\" style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(130px,100%),1fr));gap:6px;padding:11px;background:#fff\"><strong>Tier 3<\/strong><span>5,000 RPM<\/span><span>2M TPM<\/span><span>100M tokens<\/span><\/div><div role=\"row\" style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(130px,100%),1fr));gap:6px;padding:11px;background:#fff\"><strong>Tier 4<\/strong><span>10,000 RPM<\/span><span>4M TPM<\/span><span>200M tokens<\/span><\/div><div role=\"row\" style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(130px,100%),1fr));gap:6px;padding:11px;background:#fff2ed;border-left:5px solid #e07152\"><strong>Tier 5<\/strong><span>15,000 RPM<\/span><span>40M TPM<\/span><span>15B tokens<\/span><\/div><\/div><p style=\"margin:14px 0 0;color:#567073;font-size:13px;line-height:1.55\">Bar height is illustrative. The exact RPM, TPM, and batch-queue values above control.<\/p><\/section>\n\n\n\n<figure style=\"box-sizing:border-box;margin:30px 0;padding:clamp(12px,2vw,18px);border:1px solid #b9d9d3;border-top:5px solid #087f8c;border-radius:8px;background:#f2f8f7;color:#17252a;font-family:Arial,sans-serif;box-shadow:0 10px 24px rgba(23,74,77,.08)\"><span style=\"display:inline-block;margin:0 0 11px;padding:5px 8px;background:#dcefeb;color:#086b72;font-size:11px;font-weight:800;text-transform:uppercase\">Official rate-limit evidence<\/span><img decoding=\"async\" style=\"display:block;width:100%;height:auto;border:1px solid #c9dfdb;border-radius:5px;background:#fff\" src=\"https:\/\/static.futureshareai.com\/glb_features\/openai-gpt-6-astra-rate-limits-tight_3fcfed6d2df641edb4ac0c30c1cb5555.webp\" alt=\"OpenAI GPT-6 Astra rate limits table showing Free through Tier 5\"\/><figcaption style=\"margin:11px 2px 1px;color:#4f696b;font-size:14px;line-height:1.6\">OpenAI&#8217;s published GPT-6 Astra RPM, TPM, and batch queue limits. The screenshot is tightly cropped to the complete official table.<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Batch or Flex can halve model-token rates when immediate responses are unnecessary. Fast may suit latency-sensitive work but doubles the applicable price and is not available with EU data residency for Astra. Before committing a production workload, compare model cost with surrounding platform expenses; our <a href=\"https:\/\/www.glbgpt.com\/hub\/codex-pricing\/\">Codex pricing guide<\/a> illustrates why product subscriptions and API billing should not be mixed together.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What Early Reviewers Are Showing<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Independent creator Matt Wolfe published an early first-look video covering coding, computer use, Blender, and Unreal Engine demonstrations. These examples are useful for understanding the kinds of workflows reviewers are exploring, but they are not controlled benchmark evidence and do not replace the API tests above. Broader comparisons such as <a href=\"https:\/\/www.glbgpt.com\/hub\/chatgpt-vs-claude-vs-gemini\/\">ChatGPT vs Claude vs Gemini<\/a> should likewise be read as workload-specific guidance, not a universal leaderboard.<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"GPT-6 Astra Is Finally Here (And It\u2019s REALLY Good)\" width=\"800\" height=\"450\" src=\"https:\/\/www.youtube.com\/embed\/GGzT7zVrRTU?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<h2 id=\"who-should-use\" class=\"wp-block-heading\">Who Should Use GPT-6 Astra?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Astra is a plausible fit for difficult coding, agentic workflows, large-document analysis, and multimodal jobs where stronger reasoning or a very large context window can offset a premium token bill. Teams should pilot it on a narrow, measurable task and compare quality per dollar, not simply output quality. Our <a href=\"https:\/\/www.glbgpt.com\/hub\/best-ai-models\/\">best AI models overview<\/a> offers a wider selection framework.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Use Astra when:<\/strong> the task is complex, errors are expensive, long context is necessary, or the model can replace several weaker passes.<\/li>\n\n\n\n<li><strong>Use a cheaper model when:<\/strong> the work is routine classification, extraction, rewriting, or high-volume generation with straightforward quality requirements.<\/li>\n\n\n\n<li><strong>Optimize first when:<\/strong> prompts repeatedly cross 272K, large static prefixes can be cached, or latency does not require Standard or Fast processing.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">For readers comparing adjacent premium options, the <a href=\"https:\/\/www.glbgpt.com\/hub\/gpt-5-6-vs-fable-5-vs-gpt-5-5\/\">GPT-5.6 vs Fable 5 vs GPT-5.5 comparison<\/a> provides another view of cost, capability, and workload fit. GlobalGPT has a dedicated <a href=\"https:\/\/www.glbgpt.com\/home\/gpt-6-astra?inviter=hub_popup&amp;login=1\">GPT-6 Astra landing page<\/a>. Our API observations were recorded separately through the Broly Anywhere compatibility endpoint.<\/p>\n\n\n\n<figure style=\"box-sizing:border-box;margin:30px 0;padding:clamp(12px,2vw,18px);border:1px solid #b9d9d3;border-top:5px solid #087f8c;border-radius:8px;background:#f2f8f7;color:#17252a;font-family:Arial,sans-serif;box-shadow:0 10px 24px rgba(23,74,77,.08)\"><span style=\"display:inline-block;margin:0 0 11px;padding:5px 8px;background:#dcefeb;color:#086b72;font-size:11px;font-weight:800;text-transform:uppercase\">GlobalGPT workspace example<\/span><img decoding=\"async\" style=\"display:block;width:100%;height:auto;border:1px solid #c9dfdb;border-radius:5px;background:#fff\" src=\"https:\/\/static.futureshareai.com\/glb_features\/globalgpt-model-workspace_96c4fa85b36a4d2bbbf476522d8447af.webp\" alt=\"GlobalGPT model workspace showing the GPT-5.6 Sol interface\"\/><figcaption style=\"margin:11px 2px 1px;color:#4f696b;font-size:14px;line-height:1.6\">The supplied capture shows GPT-5.6 Sol, so it demonstrates the GlobalGPT model workspace rather than a GPT-6 Astra hands-on result.<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Frequently Asked Questions<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">What is the GPT-6 Astra API price?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Standard short-context pricing is $10\/M input, $1\/M cached input, $12.50\/M cache writes and $50\/M output. Above 272K input tokens, the full request uses $20\/M input, $2\/M cached input, $25\/M cache writes and $75\/M output.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">What happens when a prompt exceeds 272K input tokens?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">OpenAI moves the entire request to the long-context band. It is not a mixed bill where only the tokens above 272K cost more.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">What is GPT-6 Astra\u2019s context window?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">OpenAI lists a 1,050,000-token context window, a 922,000-token maximum input, and a 128,000-token maximum output. Reasoning tokens also occupy context and are billed as output.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Does GPT-6 Astra support image input?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Yes. The model documentation lists text and image input with text output. Audio and video are not listed as input modalities for this model.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Are these cost examples official invoices?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">No. They are arithmetic examples using the documented rates. Your bill can also reflect cached-token accounting, processing mode, regional processing and other separately billed services.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Which processing modes are available?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Standard, Batch, Flex, Fast and Ultrafast have documented Astra prices. Batch and Flex cost half of Standard, Fast costs twice Standard, and Ultrafast costs six times Standard in the same context band. Eligible regional processing adds 10%; availability depends on the mode and endpoint.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">How is GPT-6 Astra billed through GlobalGPT?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">GlobalGPT\u2019s API lists 23 credits per 1K input tokens and 117 credits per 1K output tokens for GPT-6 Astra. Reasoning tokens are billed as output. Those are GlobalGPT credit rates; OpenAI API usage follows its own USD pricing.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Final Verdict<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">GPT-6 Astra combines a 1.05M-token context window and 128K maximum output with premium pricing. Its short-context Standard rate starts at $10 per 1M input tokens and $50 per 1M output tokens, but the 272K boundary, reasoning tokens, cache writes, processing mode, and regional uplift can materially change the bill. Estimate tokens before sending large prompts, verify caching from usage data, and judge Astra on the value of the completed task rather than the headline price alone.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Quick answer: GPT-6 Astra costs $10 per 1M input tokens, $1 per 1M cached input tokens, $12.50 per 1M cache-write tokens, and $50 per 1M output tokens at Standard rates while a prompt stays at or below 272K input tokens. Above 272K, the full request moves to long-context pricing: $20 input, $2 cached input, $25 [&hellip;]<\/p>\n","protected":false},"author":16,"featured_media":18872,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_seopress_robots_primary_cat":"","_seopress_titles_title":"GPT-6 Astra Pricing: API Costs, Tokens, and Limits","_seopress_titles_desc":"See GPT-6 Astra API pricing, cost examples, token limits and rate tiers. Learn why crossing 272K input tokens can sharply increase your bill.","_seopress_robots_index":"","footnotes":""},"categories":[7],"tags":[],"class_list":["post-18861","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-chat"],"acf":[],"_links":{"self":[{"href":"https:\/\/wp.glbgpt.com\/wp-json\/wp\/v2\/posts\/18861","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.glbgpt.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wp.glbgpt.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/wp-json\/wp\/v2\/users\/16"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/wp-json\/wp\/v2\/comments?post=18861"}],"version-history":[{"count":8,"href":"https:\/\/wp.glbgpt.com\/wp-json\/wp\/v2\/posts\/18861\/revisions"}],"predecessor-version":[{"id":20599,"href":"https:\/\/wp.glbgpt.com\/wp-json\/wp\/v2\/posts\/18861\/revisions\/20599"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/wp-json\/wp\/v2\/media\/18872"}],"wp:attachment":[{"href":"https:\/\/wp.glbgpt.com\/wp-json\/wp\/v2\/media?parent=18861"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.glbgpt.com\/wp-json\/wp\/v2\/categories?post=18861"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.glbgpt.com\/wp-json\/wp\/v2\/tags?post=18861"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}