{"id":18995,"date":"2026-09-08T07:58:53","date_gmt":"2026-09-08T11:58:53","guid":{"rendered":"https:\/\/wp.glbgpt.com\/?p=18995"},"modified":"2026-09-08T07:58:54","modified_gmt":"2026-09-08T11:58:54","slug":"gpt-6-astra-vs-claude-fable-5-1","status":"publish","type":"post","link":"https:\/\/wp.glbgpt.com\/es\/hub\/gpt-6-astra-vs-claude-fable-5-1","title":{"rendered":"GPT-6 Astra frente a Claude Fable 5.1: \u00bfqu\u00e9 modelo sale ganando?"},"content":{"rendered":"<p class=\"wp-block-paragraph\"><strong>GPT-6 Astra y Claude Fable 5.1 tienen los mismos precios de referencia de la API, pero no se comportaron de la misma manera en nuestras pruebas de compatibilidad con la API.<\/strong> Astra ofreci\u00f3 resultados visibles m\u00e1s \u00fatiles en cuanto a razonamiento, redacci\u00f3n, programaci\u00f3n, recuperaci\u00f3n de contexto extenso y estrategia. Fable empat\u00f3 en la prueba de precisi\u00f3n de contexto extenso y redact\u00f3 un texto de presentaci\u00f3n cre\u00edble, aunque varias ejecuciones se truncaron o quedaron en blanco en esta ruta concreta.<\/p>\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\" 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>Prueba la serie GPT en el modelo GlobalGPT<\/strong><\/a><\/div>\n<\/div>\n\n\n\n<nav style=\"box-sizing:border-box;margin:24px 0;padding:18px;border:1px solid #b8d9d5;border-radius:8px;background:#f2f8f7\"><strong style=\"color:#086b72\">\u00cdndice<\/strong><ol style=\"columns:2;column-gap:28px;margin:10px 0 0;padding-left:22px\"><li><a href=\"#verdict\">Opini\u00f3n r\u00e1pida<\/a><\/li><li><a href=\"#comparison\">De un vistazo<\/a><\/li><li><a href=\"#pricing\">Precios y l\u00edmites<\/a><\/li><li><a href=\"#tests\">Cinco pruebas de API<\/a><\/li><li><a href=\"#choice\">\u00bfCu\u00e1l deber\u00edas elegir?<\/a><\/li><li><a href=\"#globalgpt\">Utiliza ambos en GlobalGPT<\/a><\/li><li><a href=\"#faq\">PREGUNTAS FRECUENTES<\/a><\/li><\/ol><\/nav>\n\n\n\n<h2 id=\"verdict\" class=\"wp-block-heading\">Opini\u00f3n r\u00e1pida<\/h2>\n\n\n\n<section style=\"box-sizing:border-box;margin:24px 0;padding:20px;border:1px solid #b8d9d5;border-top:5px solid #087f8c;border-radius:8px;background:#f2f8f7\"><div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(220px,100%),1fr));gap:12px\"><div><strong style=\"color:#086b72\">El mejor en general<\/strong><p style=\"margin:5px 0\">GPT-6 Astra \u00b7 43\/50<\/p><\/div><div><strong style=\"color:#086b72\">Empate por precisi\u00f3n<\/strong><p style=\"margin:5px 0\">Recuperaci\u00f3n de contexto extenso \u00b7 10\/10 cada uno<\/p><\/div><div><strong style=\"color:#086b72\">Advertencia principal<\/strong><p style=\"margin:5px 0\">El enrutamiento por compatibilidad podr\u00eda explicar los resultados vac\u00edos de Fable.<\/p><\/div><\/div><\/section>\n\n\n\n<p class=\"wp-block-paragraph\">Elige GPT-6 Astra cuando necesites una respuesta fiable en una primera aproximaci\u00f3n para tareas que combinen aspectos anal\u00edticos y t\u00e9cnicos. Elige Claude Fable 5.1 cuando tu propio punto final haya sido validado para el manejo de resultados visibles y valores su interpretaci\u00f3n de contextos extensos o su prosa mesurada. Esta no es una clasificaci\u00f3n universal de modelos: se trata de una ejecuci\u00f3n controlada realizada a trav\u00e9s de Broly Anywhere el 8 de septiembre de 2026.<\/p>\n\n\n\n<h2 id=\"comparison\" class=\"wp-block-heading\">GPT-6 Astra frente a Claude Fable 5.1: resumen comparativo<\/h2>\n\n\n\n<div style=\"overflow-x:auto;margin:22px 0;border:1px solid #b8d9d5;border-radius:8px\"><table style=\"width:100%;min-width:720px;border-collapse:collapse;background:#fff\"><thead><tr style=\"background:#087f8c;color:#fff\"><th style=\"padding:12px;text-align:left\">Campo<\/th><th style=\"padding:12px;text-align:left\">GPT-6 Astra<\/th><th style=\"padding:12px;text-align:left\">Claude Fable 5.1<\/th><\/tr><\/thead><tbody><tr style=\"background:#fff\"><td style=\"padding:11px;border-bottom:1px solid #d9e7e4\">ID de API<\/td><td style=\"padding:11px;border-bottom:1px solid #d9e7e4\">gpt-6-astra<\/td><td style=\"padding:11px;border-bottom:1px solid #d9e7e4\">claude-f\u00e1bula-5-1<\/td><\/tr><tr style=\"background:#f2f8f7\"><td style=\"padding:11px;border-bottom:1px solid #d9e7e4\">Contexto<\/td><td style=\"padding:11px;border-bottom:1px solid #d9e7e4\">1,05 millones de fichas<\/td><td style=\"padding:11px;border-bottom:1px solid #d9e7e4\">1 mill\u00f3n de tokens<\/td><\/tr><tr style=\"background:#fff\"><td style=\"padding:11px;border-bottom:1px solid #d9e7e4\">Potencia m\u00e1xima<\/td><td style=\"padding:11px;border-bottom:1px solid #d9e7e4\">128K fichas<\/td><td style=\"padding:11px;border-bottom:1px solid #d9e7e4\">128K fichas<\/td><\/tr><tr style=\"background:#f2f8f7\"><td style=\"padding:11px;border-bottom:1px solid #d9e7e4\">Datos de entrada b\u00e1sicos<\/td><td style=\"padding:11px;border-bottom:1px solid #d9e7e4\">$10 \/ 1M<\/td><td style=\"padding:11px;border-bottom:1px solid #d9e7e4\">$10 \/ 1M<\/td><\/tr><tr style=\"background:#fff\"><td style=\"padding:11px;border-bottom:1px solid #d9e7e4\">Entrada almacenada en cach\u00e9 \/ visita<\/td><td style=\"padding:11px;border-bottom:1px solid #d9e7e4\">$1 \/ 1M<\/td><td style=\"padding:11px;border-bottom:1px solid #d9e7e4\">$0,25 \/ 1M<\/td><\/tr><tr style=\"background:#f2f8f7\"><td style=\"padding:11px;border-bottom:1px solid #d9e7e4\">Salida<\/td><td style=\"padding:11px;border-bottom:1px solid #d9e7e4\">$50 \/ 1M<\/td><td style=\"padding:11px;border-bottom:1px solid #d9e7e4\">$50 \/ 1M<\/td><\/tr><tr style=\"background:#fff\"><td style=\"padding:11px;border-bottom:1px solid #d9e7e4\">Lote<\/td><td style=\"padding:11px;border-bottom:1px solid #d9e7e4\">50% seg\u00fan la norma<\/td><td style=\"padding:11px;border-bottom:1px solid #d9e7e4\">$5 de entrada \/ $25 de salida por 1M<\/td><\/tr><tr style=\"background:#f2f8f7\"><td style=\"padding:11px;border-bottom:1px solid #d9e7e4\">Razonamiento<\/td><td style=\"padding:11px;border-bottom:1px solid #d9e7e4\">Esfuerzo de razonamiento configurable<\/td><td style=\"padding:11px;border-bottom:1px solid #d9e7e4\">Pensamiento adaptativo, siempre activo; nivel alto por defecto<\/td><\/tr><tr style=\"background:#fff\"><td style=\"padding:11px;border-bottom:1px solid #d9e7e4\">Puntuaci\u00f3n observada en la prueba<\/td><td style=\"padding:11px;border-bottom:1px solid #d9e7e4\">43\/50<\/td><td style=\"padding:11px;border-bottom:1px solid #d9e7e4\">19\/50<\/td><\/tr><\/tbody><\/table><\/div>\n\n\n\n<figure style=\"box-sizing:border-box;margin:28px 0;padding:16px;border:1px solid #b8d9d5;border-top:5px solid #087f8c;border-radius:8px;background:#f2f8f7;box-shadow:0 9px 24px rgba(25,76,78,.08)\"><span style=\"display:inline-block;margin:0 0 10px;padding:5px 8px;background:#dcefeb;color:#086b72;font-size:11px;font-weight:800;text-transform:uppercase\">Documentaci\u00f3n de Anthropic<\/span><img decoding=\"async\" src=\"https:\/\/static.futureshareai.com\/glb_features\/anthropic-claude-fable-5-1-overview_ace781d824c841d6a5523cdcdb571df7.webp\" alt=\"Descripci\u00f3n general del modelo Claude Fable 5.1, con precios y posicionamiento\" style=\"display:block;width:100%;height:auto;border:1px solid #c9dfdb;border-radius:5px;background:#fff\"\/><figcaption style=\"margin:10px 2px 0;color:#4f696b;font-size:14px;line-height:1.55\">Anthropic se\u00f1ala a Fable 5.1 como un modelo m\u00e1s lento para tareas de razonamiento exigentes y trabajo de agentes a largo plazo.<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Para obtener m\u00e1s informaci\u00f3n sobre el contexto del modelo, consulta nuestro <a href=\"https:\/\/www.glbgpt.com\/hub\/gpt-6-astra-review\/\">Rese\u00f1a del GPT-6 Astra<\/a>, <a href=\"https:\/\/www.glbgpt.com\/hub\/claude-fable-5-1\/\">Gu\u00eda 5.1 de Claude Fable<\/a>, y <a href=\"https:\/\/www.glbgpt.com\/hub\/claude-opus-5-vs-fable-5-vs-sonnet-5\/\">Comparaci\u00f3n de modelos Claude<\/a>.<\/p>\n\n\n\n<h2 id=\"pricing\" class=\"wp-block-heading\">Fijaci\u00f3n de precios, almacenamiento en cach\u00e9, contexto y l\u00edmites<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Ambos modelos indican $10 por mill\u00f3n de tokens de entrada b\u00e1sicos y $50 por mill\u00f3n de tokens de salida. La diferencia operativa radica en el almacenamiento en cach\u00e9. GPT-6 Astra indica $1 por mill\u00f3n de tokens de entrada almacenados en cach\u00e9 y una tasa de escritura en cach\u00e9 de $12,50. Fable 5.1 indica $0,25 de aciertos en cach\u00e9, $12,50 de escrituras cada cinco minutos y $20 de escrituras cada hora por cada mill\u00f3n de tokens. Anthropic indica que el contexto completo de 1 mill\u00f3n se mantiene al precio est\u00e1ndar; Astra aplica precios m\u00e1s elevados una vez que la entrada supera los 272 000 tokens.<\/p>\n\n\n\n<figure style=\"box-sizing:border-box;margin:28px 0;padding:16px;border:1px solid #b8d9d5;border-top:5px solid #087f8c;border-radius:8px;background:#f2f8f7;box-shadow:0 9px 24px rgba(25,76,78,.08)\"><span style=\"display:inline-block;margin:0 0 10px;padding:5px 8px;background:#dcefeb;color:#086b72;font-size:11px;font-weight:800;text-transform:uppercase\">Documentaci\u00f3n de Anthropic<\/span><img decoding=\"async\" src=\"https:\/\/static.futureshareai.com\/glb_features\/anthropic-claude-fable-5-1-pricing_0021013aa4ae4d908c0c7efdc4c04ea4.webp\" alt=\"Tabla de precios de la API Claude Fable 5.1\" style=\"display:block;width:100%;height:auto;border:1px solid #c9dfdb;border-radius:5px;background:#fff\"\/><figcaption style=\"margin:10px 2px 0;color:#4f696b;font-size:14px;line-height:1.55\">Precios oficiales de entrada, salida y cach\u00e9 del modelo Fable 5.1, registrados el 8 de septiembre de 2026.<\/figcaption><\/figure>\n\n\n\n<figure style=\"box-sizing:border-box;margin:28px 0;padding:16px;border:1px solid #b8d9d5;border-top:5px solid #087f8c;border-radius:8px;background:#f2f8f7;box-shadow:0 9px 24px rgba(25,76,78,.08)\"><span style=\"display:inline-block;margin:0 0 10px;padding:5px 8px;background:#dcefeb;color:#086b72;font-size:11px;font-weight:800;text-transform:uppercase\">Documentaci\u00f3n de Anthropic<\/span><img decoding=\"async\" src=\"https:\/\/static.futureshareai.com\/glb_features\/anthropic-claude-fable-5-1-limits_a80234d7a2ac4afc8f39c7dc11b5bb47.webp\" alt=\"Claude Fable 5.1: contexto y l\u00edmites m\u00e1ximos de salida\" style=\"display:block;width:100%;height:auto;border:1px solid #c9dfdb;border-radius:5px;background:#fff\"\/><figcaption style=\"margin:10px 2px 0;color:#4f696b;font-size:14px;line-height:1.55\">La descripci\u00f3n general oficial indica una ventana de contexto de 1 mill\u00f3n de tokens, una salida m\u00e1xima de 128 K y una fecha l\u00edmite de conocimiento fiable en junio de 2026.<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Lee el art\u00edculo completo <a href=\"https:\/\/www.glbgpt.com\/hub\/gpt-6-astra-pricing\/\">Desglose de precios del GPT-6 Astra<\/a> o comp\u00e1ralo con nuestro <a href=\"https:\/\/www.glbgpt.com\/hub\/claude-fable-5-pricing\/\">Gu\u00eda de precios de Claude Fable<\/a>. Los precios de cat\u00e1logo de los proveedores no equivalen autom\u00e1ticamente a cr\u00e9ditos GlobalGPT ni a la facturaci\u00f3n de la capa de compatibilidad.<\/p>\n\n\n\n<h2 id=\"tests\" class=\"wp-block-heading\">Cinco pruebas de API coincidentes<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Enviamos la misma tarea a cada ID de modelo a trav\u00e9s del mismo punto final compatible con OpenAI. Las pruebas 1 a 4 permit\u00edan hasta 2.000 tokens de salida. La prueba 5 utiliz\u00f3 1.200 en ambos casos, despu\u00e9s de que la pasarela rechazara las solicitudes m\u00e1s largas que no eran de streaming tras unos 30 segundos. Cada puntuaci\u00f3n se basa en cinco reglas definidas antes de las pruebas. Un resultado en blanco no recibe puntuaci\u00f3n alguna por el trabajo invisible.<\/p>\n\n\n\n<section id=\"test-1\" data-test-card style=\"box-sizing:border-box;margin:30px 0;padding:clamp(16px,3vw,24px);border:1px solid #b8d9d5;border-left:6px solid #087f8c;border-radius:8px;background:#f2f8f7\"><div style=\"display:flex;flex-wrap:wrap;justify-content:space-between;gap:10px;align-items:center\"><div><span style=\"color:#087f8c;font-size:12px;font-weight:800;text-transform:uppercase\">Prueba de API 1 \u00b7 Tabl\u00f3n de F\u00f3rmula<\/span><h3 style=\"margin:4px 0 0;font-size:21px\">Fundamento: Decisi\u00f3n sobre el coste del SaaS<\/h3><\/div><strong style=\"font-size:18px\">10\/10 frente a 1\/10<\/strong><\/div><p style=\"line-height:1.65\">Astra complet\u00f3 el modelo financiero; Fable se qued\u00f3 atascada en la fase de las hip\u00f3tesis.<\/p><details><summary style=\"cursor:pointer;font-weight:800\">Ver la tarea concreta<\/summary><div style=\"margin-top:10px\"><button type=\"button\" data-copy-target=\"prompt-1\" style=\"border:0;border-radius:5px;padding:7px 10px;background:#087f8c;color:#fff;font-weight:800;cursor:pointer\">Copiar tarea<\/button><textarea id=\"prompt-1\" readonly style=\"box-sizing:border-box;width:100%;height:190px;margin-top:8px;padding:12px;border:1px solid #b8d9d5;border-radius:5px;background:#fff;color:#172a2d;font:12px\/1.55 Consolas,monospace;resize:vertical\">You advise a bootstrapped B2B SaaS. Compare Plan A and Plan B for the next 12 months. Plan A: $18,000 migration now, $2,900\/month fixed, 0.08% transaction fee, expected monthly GMV $1.2M for months 1-4 and $1.8M for months 5-12, 99.95% SLA. Plan B: no migration fee, $4,100\/month fixed, 0.03% transaction fee, expected conversion is 1.5% lower for the first 3 months, 99.9% SLA. Each hour of outage costs $7,500. Assume SLA downtime is fully realized, a month is 30 days, and conversion loss reduces GMV by 1.5%. Calculate the 12-month expected cost of each plan, show formulas, identify the break-even monthly GMV after month 3, run a sensitivity check at half and double expected outage cost, then recommend one plan. Return sections: Assumptions, Calculations, Sensitivity, Recommendation. Round currency to the nearest dollar. Do not add facts.<\/textarea><\/div><\/details><div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(320px,100%),1fr));gap:12px;margin-top:14px\"><div style=\"min-width:0\"><div style=\"display:flex;align-items:center;justify-content:space-between;gap:8px;margin-bottom:7px\"><strong>GPT-6 Astra<\/strong><button type=\"button\" data-copy-target=\"result-a-1\" style=\"border:0;border-radius:5px;padding:7px 10px;background:#087f8c;color:#fff;font-weight:800;cursor:pointer\">Copiar<\/button><\/div><textarea id=\"result-a-1\" readonly style=\"box-sizing:border-box;width:100%;height:240px;padding:12px;border:1px solid #b8d9d5;border-radius:5px;background:#172a2d;color:#eef8f6;font:12px\/1.55 Consolas,monospace;resize:vertical\">## Assumptions\n\n&#8211; Plan B uses the same baseline GMV forecast as Plan A, reduced by 1.5% in months 1\u20133.\n&#8211; Expected cost includes migration, fixed fees, transaction fees, outage losses, and conversion-related lost GMV. **Lost GMV is counted dollar-for-dollar as opportunity cost**, not lost profit, because no margin is provided.\n&#8211; Transaction fees apply to GMV after any conversion reduction.\n&#8211; SLA downtime is fully realized over 12 \u00d7 30 \u00d7 24 = **8,640 hours**.\n&#8211; The break-even calculation after month 3 compares ongoing monthly costs; Plan A\u2019s migration fee is then a sunk cost.\n\n## Calculations\n\n### GMV and conversion loss\n\n**Plan A annual GMV:**\n\n\\[\n4(\\$1{,}200{,}000)+8(\\$1{,}800{,}000)=\\$19{,}200{,}000\n\\]\n\n**Plan B conversion-related GMV loss:**\n\n\\[\n3(\\$1{,}200{,}000)(1.5\\%)=\\$54{,}000\n\\]\n\n**Plan B annual GMV:**\n\n\\[\n\\$19{,}200{,}000-\\$54{,}000=\\$19{,}146{,}000\n\\]\n\n### SLA outage costs\n\n**Plan A:**\n\n\\[\n8{,}640(1-99.95\\%)=4.32\\text{ hours}\n\\]\n\n\\[\n4.32(\\$7{,}500)=\\$32{,}400\n\\]\n\n**Plan B:**\n\n\\[\n8{,}640(1-99.9\\%)=8.64\\text{ hours}\n\\]\n\n\\[\n8.64(\\$7{,}500)=\\$64{,}800\n\\]\n\n### Total 12-month expected cost\n\n| Cost component | Plan A | Plan B |\n|&#8212;|&#8212;:|&#8212;:|\n| Migration | $18,000 | $0 |\n| Fixed fees | $34,800 | $49,200 |\n| Transaction fees | $15,360 | $5,744 |\n| Outage losses | $32,400 | $64,800 |\n| Conversion-related lost GMV | $0 | $54,000 |\n| **Total expected cost** | **$100,560** | **$173,744** |\n\nFormulas:\n\n\\[\nC_A=\\$18{,}000+12(\\$2{,}900)+0.0008(\\$19{,}200{,}000)+\\$32{,}400\n=\\boxed{\\$100{,}560}\n\\]\n\n\\[\nC_B=12(\\$4{,}100)+0.0003(\\$19{,}146{,}000)+\\$64{,}800+\\$54{,}000\n=\\boxed{\\$173{,}744}\n\\]\n\n**Plan A saves $73,184 over 12 months.**\n\n### Break-even monthly GMV after month 3\n\nLet \\(G\\) be monthly GMV. Monthly outage costs are $2,700 for A and $5,400 for B.\n\n\\[\n\\$2{,}900+0.0008G+\\$2{,}700\n=\n\\$4{,}100+0.0003G+\\$5{,}400\n\\]\n\n\\[\n0.0005G=\\$3{,}900\n\\]\n\n\\[\n\\boxed{G=\\$7{,}800{,}000\\text{ per month}}\n\\]\n\nIncluding outage losses, **A is cheaper below $7.8 million monthly GMV; B is cheaper above it**.\n\n## Sensitivity\n\nHolding everything else constant and changing the cost per outage hour:\n\n| Outage cost per hour | Plan A annual cost | Plan B annual cost | Plan A savings |\n|&#8212;|&#8212;:|&#8212;:|&#8212;:|\n| Half: $3,750 | $84,360 | $141,344 | $56,984 |\n| Base: $7,500 | $100,560 | $173,744 | $73,184 |\n| Double: $15,000 | $132,960 | $238,544 | $105,584 |\n\nPlan A remains cheaper in all three scenarios.\n\n## Recommendation\n\n**Choose Plan A**, provided the business can fund the **$18,000 upfront migration**. It has the lower 12-month expected cost, saves **$73,184** in the base case, and remains preferable at both half and double the assumed outage cost.\n\nIts ongoing break-even threshold of **$7.8 million monthly GMV** is well above the forecast of $1.2\u2013$1.8 million. Even excluding conversion-related lost GMV from the comparison, Plan A is cheaper by **$19,184** over the year.<\/textarea><p style=\"margin:8px 0 0;color:#4f696b;font-size:13px\">HTTP 200 \u00b7 28,98 s \u00b7 242 entradas \u00b7 1.427 completadas \u00b7 puntuaci\u00f3n 10\/10<\/p><\/div><div style=\"min-width:0\"><div style=\"display:flex;align-items:center;justify-content:space-between;gap:8px;margin-bottom:7px\"><strong>Claude Fable 5.1<\/strong><button type=\"button\" data-copy-target=\"result-f-1\" style=\"border:0;border-radius:5px;padding:7px 10px;background:#d36449;color:#fff;font-weight:800;cursor:pointer\">Copiar<\/button><\/div><textarea id=\"result-f-1\" readonly style=\"box-sizing:border-box;width:100%;height:240px;padding:12px;border:1px solid #b8d9d5;border-radius:5px;background:#172a2d;color:#eef8f6;font:12px\/1.55 Consolas,monospace;resize:vertical\"># Assumptions\n&#8211; Horizon: 12 months; 1 month = 30 days = 720 hours.\n&#8211; SLA downtime fully realized: Plan A downtime = (1 \u2212 0.9995) \u00d7 720 = 0.36 h\/month; Plan B = (1 \u2212 0.999) \u00d7 720 = 0.72 h\/month.\n&#8211; Outage cost = $7,500\/hour (base case).\n&#8211; GMV: $1,200,000\/month for months 1\u20134; $1,800,000\/month for months 5\u201312.\n&#8211; Plan B conversion loss: GMV redu<\/textarea><p style=\"margin:8px 0 0;color:#4f696b;font-size:13px\">HTTP 200 \u00b7 26,01 s \u00b7 357 entradas \u00b7 2.000 completadas \u00b7 puntuaci\u00f3n 1\/10<\/p><\/div><\/div><\/section>\n\n\n\n<section id=\"test-2\" data-test-card style=\"box-sizing:border-box;margin:30px 0;padding:clamp(16px,3vw,24px);border:1px solid #b8d9d5;border-left:6px solid #d36449;border-radius:8px;background:#f2f8f7\"><div style=\"display:flex;flex-wrap:wrap;justify-content:space-between;gap:10px;align-items:center\"><div><span style=\"color:#087f8c;font-size:12px;font-weight:800;text-transform:uppercase\">Prueba de API 2 \u00b7 Lista de comprobaci\u00f3n de restricciones<\/span><h3 style=\"margin:4px 0 0;font-size:21px\">Redacci\u00f3n: revisi\u00f3n del lanzamiento de un producto<\/h3><\/div><strong style=\"font-size:18px\">10\/10 frente a 8\/10<\/strong><\/div><p style=\"line-height:1.65\">Ambos proporcionaron material \u00fatil, pero Fable aport\u00f3 detalles que no figuraban en las notas.<\/p><details><summary style=\"cursor:pointer;font-weight:800\">Ver la tarea concreta<\/summary><div style=\"margin-top:10px\"><button type=\"button\" data-copy-target=\"prompt-2\" style=\"border:0;border-radius:5px;padding:7px 10px;background:#087f8c;color:#fff;font-weight:800;cursor:pointer\">Copiar tarea<\/button><textarea id=\"prompt-2\" readonly style=\"box-sizing:border-box;width:100%;height:190px;margin-top:8px;padding:12px;border:1px solid #b8d9d5;border-radius:5px;background:#fff;color:#172a2d;font:12px\/1.55 Consolas,monospace;resize:vertical\">Turn these messy product notes into a 220-280 word launch announcement for IT administrators. Notes: Acme Relay 3.0; policy simulator before deploy; rollback is one click; audit export CSV and JSON; SSO now supports Okta and Entra ID; beta users cut failed policy pushes from 14% to 3%; data is from 42 beta workspaces over 30 days and is not a guarantee; available today on Business and Enterprise; Starter gets read-only simulator next quarter; do not claim zero downtime; tone calm, specific, credible; CTA is &quot;Open the policy simulator.&quot; Include a headline, a two-sentence lead, three bullet points, the beta-data caveat, and the exact CTA. Avoid superlatives, hype, and invented quotations.<\/textarea><\/div><\/details><div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(320px,100%),1fr));gap:12px;margin-top:14px\"><div style=\"min-width:0\"><div style=\"display:flex;align-items:center;justify-content:space-between;gap:8px;margin-bottom:7px\"><strong>GPT-6 Astra<\/strong><button type=\"button\" data-copy-target=\"result-a-2\" style=\"border:0;border-radius:5px;padding:7px 10px;background:#087f8c;color:#fff;font-weight:800;cursor:pointer\">Copiar<\/button><\/div><textarea id=\"result-a-2\" readonly style=\"box-sizing:border-box;width:100%;height:240px;padding:12px;border:1px solid #b8d9d5;border-radius:5px;background:#172a2d;color:#eef8f6;font:12px\/1.55 Consolas,monospace;resize:vertical\"># Acme Relay 3.0: Policy Simulation Before Deployment\n\nAcme Relay 3.0 is available today on Business and Enterprise, bringing pre-deployment policy simulation, one-click rollback, and additional options for audit exports and single sign-on. For IT administrators managing policy changes, this release puts the focus on reviewing changes before deployment and making recovery and audit tasks more straightforward.\n\nThe release includes three updates to the policy workflow:\n\n&#8211; **Simulate policies before deployment.** Use the policy simulator to review a proposed policy before deploying it. This adds a review step ahead of deployment, rather than making a live push the first opportunity to evaluate a change.\n&#8211; **Roll back with one click.** When a deployed policy needs to be reversed, one-click rollback provides a direct recovery action. Simulation and rollback address different parts of the workflow: reviewing a change beforehand and reversing it afterward.\n&#8211; **Export audit data as CSV or JSON.** Choose between two export formats for your audit processes. Administrators can select the format that fits their existing reporting or data-handling requirements.\n\nSSO now supports Okta and Microsoft Entra ID, adding identity-provider options for teams using those services.\n\nAcross 42 beta workspaces over 30 days, beta users reduced failed policy pushes from 14% to 3%. These results reflect that beta sample and observation period; they are not a guarantee of results in your environment.\n\nBusiness and Enterprise teams can access the release today. Starter will receive a read-only version of the policy simulator next quarter.\n\nOpen the policy simulator.<\/textarea><p style=\"margin:8px 0 0;color:#4f696b;font-size:13px\">HTTP 200 \u00b7 15,47 s \u00b7 165 entradas \u00b7 500 completadas \u00b7 puntuaci\u00f3n 10\/10<\/p><\/div><div style=\"min-width:0\"><div style=\"display:flex;align-items:center;justify-content:space-between;gap:8px;margin-bottom:7px\"><strong>Claude Fable 5.1<\/strong><button type=\"button\" data-copy-target=\"result-f-2\" style=\"border:0;border-radius:5px;padding:7px 10px;background:#d36449;color:#fff;font-weight:800;cursor:pointer\">Copiar<\/button><\/div><textarea id=\"result-f-2\" readonly style=\"box-sizing:border-box;width:100%;height:240px;padding:12px;border:1px solid #b8d9d5;border-radius:5px;background:#172a2d;color:#eef8f6;font:12px\/1.55 Consolas,monospace;resize:vertical\">**Acme Relay 3.0 is available today for Business and Enterprise**\n\nAcme Relay 3.0 adds a policy simulator, one-click rollback, and expanded audit exports to help administrators deploy configuration changes with fewer surprises. Business and Enterprise workspaces can use these features starting today.\n\nHere is what changed for administrators:\n\n&#8211; **Policy simulator before deploy.** Run a proposed policy against your current workspace state and review the projected effects on users, groups, and devices before anything is pushed.\n&#8211; **One-click rollback.** If a deployed policy behaves unexpectedly, revert to the previous version from the deployment record. Rollback restores the prior policy state; a brief disruption during the transition is still possible.\n&#8211; **Audit export in CSV and JSON.** Export policy history, deployment events, and simulator runs for spreadsheet review or ingestion into your logging pipeline.\n\nSingle sign-on now supports Okta and Microsoft Entra ID. Administrators using either provider can enable it from the identity settings page without a separate connector.\n\nDuring the beta, participating administrators reduced failed policy pushes from 14% to 3%. That figure comes from 42 beta workspaces over 30 days. It reflects those environments and their change volume, and it is not a guarantee of results in yours.\n\nStarter workspaces will receive a read-only version of the policy simulator next quarter. We will publish the rollout date in the release notes.\n\nIf you manage a Business or Enterprise workspace, a reasonable first step is to pick one existing policy, run it through the simulator against a small test group, and compare the projected outcome with what you expected.\n\n**Open the policy simulator.**<\/textarea><p style=\"margin:8px 0 0;color:#4f696b;font-size:13px\">HTTP 200 \u00b7 26,01 s \u00b7 263 entradas \u00b7 1.881 completadas \u00b7 puntuaci\u00f3n: 8\/10<\/p><\/div><\/div><\/section>\n\n\n\n<section id=\"test-3\" data-test-card style=\"box-sizing:border-box;margin:30px 0;padding:clamp(16px,3vw,24px);border:1px solid #b8d9d5;border-left:6px solid #087f8c;border-radius:8px;background:#f2f8f7\"><div style=\"display:flex;flex-wrap:wrap;justify-content:space-between;gap:10px;align-items:center\"><div><span style=\"color:#087f8c;font-size:12px;font-weight:800;text-transform:uppercase\">Prueba de API 3 \u00b7 Consola de errores y pruebas<\/span><h3 style=\"margin:4px 0 0;font-size:21px\">Programaci\u00f3n: Concurrencia en TypeScript<\/h3><\/div><strong style=\"font-size:18px\">9\/10 frente a 0\/10<\/strong><\/div><p style=\"line-height:1.65\">Astra proporcion\u00f3 un diagn\u00f3stico s\u00f3lido y pruebas parciales; Fable no ofreci\u00f3 ninguna respuesta visible en esta ruta.<\/p><details><summary style=\"cursor:pointer;font-weight:800\">Ver la tarea concreta<\/summary><div style=\"margin-top:10px\"><button type=\"button\" data-copy-target=\"prompt-3\" style=\"border:0;border-radius:5px;padding:7px 10px;background:#087f8c;color:#fff;font-weight:800;cursor:pointer\">Copiar tarea<\/button><textarea id=\"prompt-3\" readonly style=\"box-sizing:border-box;width:100%;height:190px;margin-top:8px;padding:12px;border:1px solid #b8d9d5;border-radius:5px;background:#fff;color:#172a2d;font:12px\/1.55 Consolas,monospace;resize:vertical\">Diagnose and fix this TypeScript function. It should fetch every URL with at most 3 requests in flight, preserve input order, reject after all started work settles if any request failed, and never start new work after the first failure. Explain the race conditions, provide corrected TypeScript without external packages, and include four focused tests as code.\n\nasync function fetchAll(urls: string[]): Promise&lt;string[]&gt; {\n  const results: string[] = [];\n  let index = 0;\n  async function worker() {\n    while (index &lt; urls.length) {\n      const current = index;\n      const response = await fetch(urls[index++]);\n      results.push(await response.text());\n      if (!response.ok) throw new Error(`HTTP ${response.status} at ${current}`);\n    }\n  }\n  await Promise.all([worker(), worker(), worker()]);\n  return results;\n}<\/textarea><\/div><\/details><div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(320px,100%),1fr));gap:12px;margin-top:14px\"><div style=\"min-width:0\"><div style=\"display:flex;align-items:center;justify-content:space-between;gap:8px;margin-bottom:7px\"><strong>GPT-6 Astra<\/strong><button type=\"button\" data-copy-target=\"result-a-3\" style=\"border:0;border-radius:5px;padding:7px 10px;background:#087f8c;color:#fff;font-weight:800;cursor:pointer\">Copiar<\/button><\/div><textarea id=\"result-a-3\" readonly style=\"box-sizing:border-box;width:100%;height:240px;padding:12px;border:1px solid #b8d9d5;border-radius:5px;background:#172a2d;color:#eef8f6;font:12px\/1.55 Consolas,monospace;resize:vertical\">### Diagnosis\n\n&#8211; **Results are out of order.** `push()` records completion order, not input order.\n&#8211; **`Promise.all()` rejects too early.** It does not wait for the other workers to finish after one rejects, nor does it cancel them.\n&#8211; **Other workers keep starting requests after a failure.** There is no shared stop flag.\n&#8211; **HTTP failure detection is delayed.** Checking `response.ok` after `response.text()` lets other workers start more requests while an already-known HTTP error\u2019s body is being read.\n&#8211; **The index increment is not itself a race.** JavaScript executes the synchronous check-and-increment without interleaving another worker. The problematic interleaving happens across `await` boundaries.\n\nHere, \u201cfirst failure\u201d means the first failure **observed by this function**. A request remains in flight through its body read.\n\n### Corrected TypeScript\n\nThe optional fetcher makes testing possible without network access or external packages.\n\n&#8220;`ts\ntype FetchResponse = Pick&lt;Response, &quot;ok&quot; | &quot;status&quot; | &quot;text&quot;&gt;;\ntype Fetcher = (url: string) =&gt; Promise&lt;FetchResponse&gt;;\n\nasync function fetchAll(\n  urls: string[],\n  fetcher: Fetcher = fetch,\n): Promise&lt;string[]&gt; {\n  const results = new Array&lt;string&gt;(urls.length);\n  let next = 0;\n  let failed = false;\n  let firstError: unknown;\n\n  async function worker(): Promise&lt;void&gt; {\n    while (!failed &amp;&amp; next &lt; urls.length) {\n      \/\/ No await between checking the stop flag and starting this request.\n      const current = next++;\n\n      try {\n        const response = await fetcher(urls[current]);\n\n        \/\/ Detect HTTP failure immediately; don&#8217;t start reading its body.\n        if (!response.ok) {\n          throw new Error(`HTTP ${response.status} at ${current}`);\n        }\n\n        results[current] = await response.text();\n      } catch (error) {\n        if (!failed) {\n          failed = true;\n          firstError = error;\n        }\n        return;\n      }\n    }\n  }\n\n  \/\/ Workers capture request failures, so this waits for every worker.\n  await Promise.all(\n    Array.from({ length: Math.min(3, urls.length) }, () =&gt; worker()),\n  );\n\n  \/\/ Keep a separate boolean: a promise can reject with undefined.\n  if (failed) throw firstError;\n\n  return results;\n}\n&#8220;`\n\nOnce a worker observes a failure, no worker can claim another URL. Already-started fetches and body reads are allowed to settle; only then does `fetchAll` reject with the first observed error.\n\n### Four focused tests\n\nRun alongside the implementation in an environment with TypeScript\u2019s DOM types. The fetcher is fully mocked.\n\n&#8220;`ts\nfunction assert(condition: unknown, message: string): asserts condition {\n  if (!condition) throw new Error(message);\n}\n\nfunction deferred&lt;T&gt;() {\n  let resolve!: (value: T | PromiseLike&lt;T&gt;) =&gt; void;\n  let reject!: (reason?: unknown) =&gt; void;\n\n  const promise = new Promise&lt;T&gt;((res, rej) =&gt; {\n    resolve = res;\n    reject = rej;\n  });\n\n  return { promise, resolve, reject };\n}\n\n\/\/ Let all currently queued promise continuations run.\nconst tick = () =&gt;\n  new Promise&lt;void&gt;((resolve) =&gt; setTimeout(resolve, 0));\n\nfunction ok(value: string): FetchResponse {\n  return {\n    ok: true,\n    status: 200,\n    text: async () =&gt; value,\n  };\n}\n\nfunction fixture(count: number) {\n  const requests = Array.from(\n    { length: count },\n    () =&gt; deferred&lt;FetchResponse&gt;(),\n  );\n  const calls: number[] = [];\n\n  const fetcher: Fetcher = (url) =&gt; {\n    const index = Number(url);\n    calls.push(index);\n    return requests[index].promise;\n  };\n\n  const state: {\n    settled: boolean;\n    rejected: boolean;\n    value?: string[];\n    error?: unknown;\n  } = {\n    settled: false,\n    rejected: false,\n  };\n\n  \/\/ Attach both handlers immediately to avoid unhandled rejections.\n  const done = fetchAll(\n    requests.map((_, index) =&gt; String(index)),\n    fetcher,\n  ).then(\n    (value) =&gt; {\n      state.value = value;\n      state.settled = true;\n    },\n    (error) =&gt; {\n      state.error = error;\n      state.rejected = true;\n      state.settled = true;\n    },\n  );\n\n  return { requests, calls, state, done };\n}\n\n\/\/ 1. At most three requests, refill freed slots, preserve input order.\nasync function testConcurrencyAndOrder() {\n  const f = fixture(5);\n\n  assert(f.calls.join() === &quot;0,1,2&quot;, &quot;Must start exactly three requests&quot;);\n\n  f.requests[2].resolve(ok(&quot;C&quot;));\n  await tick();\n  assert(f.calls.join() === &quot;0,1,2,3&quot;, &quot;Must refill only one freed slot&quot;);\n\n  f.requests[0].resolve(ok(&quot;A&quot;));\n  await tick();\n  assert(f.calls.join() === &quot;0,1,2,3,4&quot;, &quot;Must eventually start every URL&quot;);\n\n  f.requests[4].resolve(ok(&quot;E&quot;));\n  f.requests[3].resolve(ok(&quot;D&quot;));\n  await tick();\n  assert(!f.state.settled, &quot;Must wait for the remaining request&quot;);\n\n  f.requests[1].resolve(ok(&quot;B&quot;));\n  await f.done;\n\n  assert(!f.state.rejected, &quot;Expected success&quot;);\n  assert(f.state.value?.join() === &quot;A,B,C,D,E&quot;, &quot;Wrong result order&quot;);\n}\n\n\/\/ 2. HTTP failure stops scheduling immediately and waits for a body read.\nasync function testHttpFailure() {\n  const f = fixture(5);\n  const body = deferred&lt;string&gt;();\n  let bodyStarted = false;\n  let errorBodyRead = false;\n\n  f.requests[1].resolve({\n    ok: true,\n    status: 200,\n    text: () =&gt; {\n      bodyStarted = true;\n      return body.promise;\n    },\n  });\n  await tick();\n  assert(bodyStarted, &quot;Successful response body must be read&quot;);\n  assert(f.calls.length === 3, &quot;Body read must retain its worker slot&quot;);\n\n  f.requests[0].resolve({\n    ok: false,\n    status: 503,\n    text: async<\/textarea><p style=\"margin:8px 0 0;color:#4f696b;font-size:13px\">HTTP 200 \u00b7 41,54 s \u00b7 181 entradas \u00b7 2.000 completadas \u00b7 puntuaci\u00f3n 9\/10<\/p><\/div><div style=\"min-width:0\"><div style=\"display:flex;align-items:center;justify-content:space-between;gap:8px;margin-bottom:7px\"><strong>Claude Fable 5.1<\/strong><button type=\"button\" data-copy-target=\"result-f-3\" style=\"border:0;border-radius:5px;padding:7px 10px;background:#d36449;color:#fff;font-weight:800;cursor:pointer\">Copiar<\/button><\/div><textarea id=\"result-f-3\" readonly style=\"box-sizing:border-box;width:100%;height:240px;padding:12px;border:1px solid #b8d9d5;border-radius:5px;background:#172a2d;color:#eef8f6;font:12px\/1.55 Consolas,monospace;resize:vertical\">[No visible answer was returned by this compatibility route despite reported completion-token usage.]<\/textarea><p style=\"margin:8px 0 0;color:#4f696b;font-size:13px\">HTTP 200 \u00b7 29,44 s \u00b7 277 entradas \u00b7 2.000 finalizadas \u00b7 puntuaci\u00f3n 0\/10<\/p><\/div><\/div><\/section>\n\n\n\n<section id=\"test-4\" data-test-card style=\"box-sizing:border-box;margin:30px 0;padding:clamp(16px,3vw,24px);border:1px solid #b8d9d5;border-left:6px solid #d36449;border-radius:8px;background:#f2f8f7\"><div style=\"display:flex;flex-wrap:wrap;justify-content:space-between;gap:10px;align-items:center\"><div><span style=\"color:#087f8c;font-size:12px;font-weight:800;text-transform:uppercase\">Prueba de API 4 \u00b7 Localizador de contexto<\/span><h3 style=\"margin:4px 0 0;font-size:21px\">Contexto amplio: enmienda de plantaci\u00f3n<\/h3><\/div><strong style=\"font-size:18px\">10\/10 contra 10\/10<\/strong><\/div><p style=\"line-height:1.65\">Ambos encontraron y citaron la enmienda pertinente del art\u00edculo 417.<\/p><details><summary style=\"cursor:pointer;font-weight:800\">Ver la tarea concreta<\/summary><div style=\"margin-top:10px\"><button type=\"button\" data-copy-target=\"prompt-4\" style=\"border:0;border-radius:5px;padding:7px 10px;background:#087f8c;color:#fff;font-weight:800;cursor:pointer\">Copiar tarea<\/button><textarea id=\"prompt-4\" readonly style=\"box-sizing:border-box;width:100%;height:190px;margin-top:8px;padding:12px;border:1px solid #b8d9d5;border-radius:5px;background:#fff;color:#172a2d;font:12px\/1.55 Consolas,monospace;resize:vertical\">You will receive a long synthetic operations dossier after this instruction. Most sections say the EU retention period is 30 days. One later signed amendment says EU support-ticket attachments must be retained for 45 days starting 2026-10-01, while ticket message text remains 30 days. Find the controlling rule, quote the exact amendment sentence, name the section and effective date, explain why it overrides the repeated 30-day statements, and return JSON with keys controlling_rule, exact_quote, section, effective_date, superseded_claims, confidence. Use only the dossier. Do not infer missing text.\n\n[The identical synthetic dossier contained approximately 100,000 GPT-route tokens and one signed amendment in Section 417.]<\/textarea><\/div><\/details><div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(320px,100%),1fr));gap:12px;margin-top:14px\"><div style=\"min-width:0\"><div style=\"display:flex;align-items:center;justify-content:space-between;gap:8px;margin-bottom:7px\"><strong>GPT-6 Astra<\/strong><button type=\"button\" data-copy-target=\"result-a-4\" style=\"border:0;border-radius:5px;padding:7px 10px;background:#087f8c;color:#fff;font-weight:800;cursor:pointer\">Copiar<\/button><\/div><textarea id=\"result-a-4\" readonly style=\"box-sizing:border-box;width:100%;height:240px;padding:12px;border:1px solid #b8d9d5;border-radius:5px;background:#172a2d;color:#eef8f6;font:12px\/1.55 Consolas,monospace;resize:vertical\">{\n  &quot;controlling_rule&quot;: &quot;Starting 2026-10-01, EU support-ticket attachments must be retained for 45 days; ticket message text remains subject to 30-day retention.&quot;,\n  &quot;exact_quote&quot;: &quot;EU support-ticket attachments must be retained for 45 days starting 2026-10-01, while ticket message text remains subject to the 30-day retention period.&quot;,\n  &quot;section&quot;: &quot;Section 417 &#8211; Signed Retention Amendment&quot;,\n  &quot;effective_date&quot;: &quot;2026-10-01&quot;,\n  &quot;superseded_claims&quot;: {\n    &quot;sections&quot;: &quot;Sections 1\u201399&quot;,\n    &quot;exact_claim&quot;: &quot;The standard EU retention period is 30 days.&quot;,\n    &quot;scope&quot;: &quot;Superseded for EU support-ticket attachments starting 2026-10-01, not for ticket message text.&quot;,\n    &quot;reason&quot;: &quot;Section 417 is signed by the Director of Compliance and explicitly states: \\&quot;This signed amendment controls over earlier general retention statements.\\&quot; The repeated general statements therefore do not override the amendment&#8217;s specific attachment rule.&quot;\n  },\n  &quot;confidence&quot;: &quot;High: the rule, effective date, and precedence are explicitly stated in the dossier.&quot;\n}<\/textarea><p style=\"margin:8px 0 0;color:#4f696b;font-size:13px\">HTTP 200 \u00b7 14,96 s \u00b7 99 495 entradas \u00b7 244 completadas \u00b7 puntuaci\u00f3n 10\/10<\/p><\/div><div style=\"min-width:0\"><div style=\"display:flex;align-items:center;justify-content:space-between;gap:8px;margin-bottom:7px\"><strong>Claude Fable 5.1<\/strong><button type=\"button\" data-copy-target=\"result-f-4\" style=\"border:0;border-radius:5px;padding:7px 10px;background:#d36449;color:#fff;font-weight:800;cursor:pointer\">Copiar<\/button><\/div><textarea id=\"result-f-4\" readonly style=\"box-sizing:border-box;width:100%;height:240px;padding:12px;border:1px solid #b8d9d5;border-radius:5px;background:#172a2d;color:#eef8f6;font:12px\/1.55 Consolas,monospace;resize:vertical\">**Controlling rule:** Section 417 (Signed Retention Amendment), effective 2026-10-01, signed by the Director of Compliance.\n\n**Exact amendment sentence:**\n&quot;EU support-ticket attachments must be retained for 45 days starting 2026-10-01, while ticket message text remains subject to the 30-day retention period.&quot;\n\n**Why it overrides the repeated 30-day statements:**\n&#8211; Sections 1\u201399 each state only a *general* rule (&quot;The standard EU retention period is 30 days&quot;) with no effective date, signature, or data-type specificity.\n&#8211; Section 417 is (a) a signed amendment, (b) later in the dossier, (c) carries an explicit effective date, (d) is more specific (it targets EU support-ticket attachments as a distinct data category), and (e) contains its own supremacy clause: &quot;This signed amendment controls over earlier general retention statements.&quot;\n&#8211; The amendment is narrow: it changes retention only for EU support-ticket *attachments* (to 45 days from 2026-10-01). It expressly leaves ticket *message text* at 30 days, so the general 30-day rule is superseded only to the extent it would otherwise apply to attachments on or after 2026-10-01. The dossier does not state what applies to other EU data categories beyond the general 30-day rule, and it jumps from Section 99 to Section 417 with no intervening text, so nothing is inferred about missing sections.\n\n&#8220;`json\n{\n  &quot;controlling_rule&quot;: &quot;From 2026-10-01, EU support-ticket attachments must be retained for 45 days; EU support-ticket message text remains subject to the 30-day retention period. The general 30-day EU retention statements continue to apply except as modified for attachments by this amendment.&quot;,\n  &quot;exact_quote&quot;: &quot;EU support-ticket attachments must be retained for 45 days starting 2026-10-01, while ticket message text remains subject to the 30-day retention period.&quot;,\n  &quot;section&quot;: &quot;Section 417 &#8211; Signed Retention Amendment (signed by: Director of Compliance)&quot;,\n  &quot;effective_date&quot;: &quot;2026-10-01&quot;,\n  &quot;superseded_claims&quot;: [\n    &quot;Sections 1 through 99: &#8216;The standard EU retention period is 30 days.&#8217; \u2014 superseded only insofar as applied to EU support-ticket attachments on or after 2026-10-01; remains in force for ticket message text and is not otherwise altered by the dossier.&quot;\n  ],\n  &quot;confidence&quot;: 0.97\n}\n&#8220;`<\/textarea><p style=\"margin:8px 0 0;color:#4f696b;font-size:13px\">HTTP 200 \u00b7 22,24 s \u00b7 295.912 entradas \u00b7 1.053 completadas \u00b7 puntuaci\u00f3n 10\/10<\/p><\/div><\/div><\/section>\n\n\n\n<section id=\"test-5\" data-test-card style=\"box-sizing:border-box;margin:30px 0;padding:clamp(16px,3vw,24px);border:1px solid #b8d9d5;border-left:6px solid #087f8c;border-radius:8px;background:#f2f8f7\"><div style=\"display:flex;flex-wrap:wrap;justify-content:space-between;gap:10px;align-items:center\"><div><span style=\"color:#087f8c;font-size:12px;font-weight:800;text-transform:uppercase\">Prueba de API 5 \u00b7 Matriz de prioridades<\/span><h3 style=\"margin:4px 0 0;font-size:21px\">Estrategia: Plan de lanzamiento al mercado (GTM) de 90 d\u00edas<\/h3><\/div><strong style=\"font-size:18px\">4\/10 frente a 0\/10<\/strong><\/div><p style=\"line-height:1.65\">Astra puso en marcha un plan bien fundamentado, pero este se vio truncado; Fable no dio ninguna respuesta clara.<\/p><details><summary style=\"cursor:pointer;font-weight:800\">Ver la tarea concreta<\/summary><div style=\"margin-top:10px\"><button type=\"button\" data-copy-target=\"prompt-5\" style=\"border:0;border-radius:5px;padding:7px 10px;background:#087f8c;color:#fff;font-weight:800;cursor:pointer\">Copiar tarea<\/button><textarea id=\"prompt-5\" readonly style=\"box-sizing:border-box;width:100%;height:190px;margin-top:8px;padding:12px;border:1px solid #b8d9d5;border-radius:5px;background:#fff;color:#172a2d;font:12px\/1.55 Consolas,monospace;resize:vertical\">Create a 90-day go-to-market strategy from these notes: developer API product; 18 interviews; strongest pain is retry handling; second pain is cost visibility; 7 teams use homegrown queues; 5 want EU data residency; 3 demand SOC 2 before trial; current activation 21%; users who send 100 requests in day one retain at 62% versus 19% otherwise; engineering can ship two medium projects; marketing has $24,000; sales has one AE; no paid search history; community has 8,400 members; proposed ideas include SDK retry middleware, cost dashboard, EU region, SOC 2, paid search, webinar, templates. Prioritize exactly four initiatives. Return a table with initiative, evidence, owner, week range, budget, success metric, dependency, and risk; then list rejected ideas with reasons; then give weekly leading indicators and stop\/continue thresholds. Total allocated marketing budget must not exceed $24,000. Clearly separate observed facts from assumptions.<\/textarea><\/div><\/details><div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(320px,100%),1fr));gap:12px;margin-top:14px\"><div style=\"min-width:0\"><div style=\"display:flex;align-items:center;justify-content:space-between;gap:8px;margin-bottom:7px\"><strong>GPT-6 Astra<\/strong><button type=\"button\" data-copy-target=\"result-a-5\" style=\"border:0;border-radius:5px;padding:7px 10px;background:#087f8c;color:#fff;font-weight:800;cursor:pointer\">Copiar<\/button><\/div><textarea id=\"result-a-5\" readonly style=\"box-sizing:border-box;width:100%;height:240px;padding:12px;border:1px solid #b8d9d5;border-radius:5px;background:#172a2d;color:#eef8f6;font:12px\/1.55 Consolas,monospace;resize:vertical\">## Strategy: lead with reliable retries, then make costs visible\n\nConcentrate the next 90 days on developer teams managing retries themselves. Use the existing community and one AE to recruit users, improve first-day value, and convert successful pilots\u2014not to launch a broad acquisition campaign.\n\n### Facts versus assumptions\n\n**Observed facts**\n&#8211; Across 18 interviews, retry handling was the strongest pain; cost visibility was second.\n&#8211; Seven teams use homegrown queues; five want EU residency; three require SOC 2 before trial. These groups may overlap.\n&#8211; Current activation is 21%.\n&#8211; Users sending 100 requests on day one retain at 62%, versus 19% otherwise. This is an association, not proof that increasing requests causes retention.\n&#8211; Capacity: two medium engineering projects, $24,000 marketing budget, one AE, and an 8,400-member community.\n&#8211; There is no paid-search history.\n\n**Planning assumptions\u2014not established facts**\n&#8211; SDK retry middleware and a narrowly scoped cost dashboard each fit one medium engineering project.\n&#8211; Existing telemetry can measure activation, first-day requests, and cohort retention. Confirm this in week 1.\n&#8211; The community contains relevant prospects and permits promotional activity; membership is not equivalent to reachable demand.\n&#8211; Marketing can create documentation-based templates and run webinars without another engineering project.\n&#8211; All targets below are proposed operating thresholds. Marketing allocations cover campaign execution, content, research, and pilot enablement\u2014not engineering or employee salaries.\n&#8211; Week 13 covers days 85\u201390. Preserve the current activation definition and establish the retention measurement window before comparisons.\n\n## Exactly four prioritized initiatives\n\n| Initiative | Evidence | Owner | Week range | Marketing budget | Success metric | Dependency | Risk |\n|&#8212;|&#8212;|&#8212;|&#8212;|&#8212;:|&#8212;|&#8212;|&#8212;|\n| **1. Ship SDK retry middleware** \u2014 bounded retries, backoff, clear retryability rules, and safe examples in one priority SDK | Retry handling ranks first; seven interviewees use homegrown queues | Engineering lead | **W1\u20135** build and beta; **W6\u201313** adoption and fixes | **$4,000** \u2014 developer testing and launch content | By W6, **5 teams** use it in real workflows; by W13, **\u226560%** of beta teams with a full two-week observation window still use it | Validate priority SDK; confirm API idempotency and error semantics; recruit beta teams | Retry amplification, duplicate operations, or added spend. Do not imply that retry middleware replaces an entire queue |\n| **2. Ship a minimum cost-visibility dashboard** \u2014 usage, estimated cost, and top cost drivers; defer forecasting and complex alerts | Cost visibility ranks second; willingness to adopt or pay is unproven | Engineering lead | **W1\u20133** discovery; **W6\u201310** build; **W11\u201313** pilot | **$3,000** \u2014 research and onboarding materials | Before build, **5 of 8** target users confirm a recurring decision the dashboard would support; after launch, **\u226550% of 10 pilot teams** use it in two consecutive weeks | Reliable usage\/pricing data; retry project completes within its engineering slot | Billing mismatches undermine trust; a dashboard may attract curiosity without repeated value |\n| **3. Run a community-to-activation program** \u2014 workflow templates, onboarding messages, and two hands-on webinars centered on retries | Community has 8,400 members; activation is 21%; first-day 100-request users have higher observed retention | Marketing lead \/ DevRel | **W1\u20132** instrumentation and content; **W3\u201313** weekly recruitment and iteration |<\/textarea><p style=\"margin:8px 0 0;color:#4f696b;font-size:13px\">HTTP 200 \u00b7 34,27 s \u00b7 210 entradas \u00b7 1.200 completadas \u00b7 puntuaci\u00f3n 4\/10<\/p><\/div><div style=\"min-width:0\"><div style=\"display:flex;align-items:center;justify-content:space-between;gap:8px;margin-bottom:7px\"><strong>Claude Fable 5.1<\/strong><button type=\"button\" data-copy-target=\"result-f-5\" style=\"border:0;border-radius:5px;padding:7px 10px;background:#d36449;color:#fff;font-weight:800;cursor:pointer\">Copiar<\/button><\/div><textarea id=\"result-f-5\" readonly style=\"box-sizing:border-box;width:100%;height:240px;padding:12px;border:1px solid #b8d9d5;border-radius:5px;background:#172a2d;color:#eef8f6;font:12px\/1.55 Consolas,monospace;resize:vertical\">[No visible answer was returned by this compatibility route despite reported completion-token usage.]<\/textarea><p style=\"margin:8px 0 0;color:#4f696b;font-size:13px\">HTTP 200 \u00b7 21,09 s \u00b7 338 entradas \u00b7 1.200 completadas \u00b7 puntuaci\u00f3n 0\/10<\/p><\/div><\/div><\/section>\n\n\n\n<h2 id=\"choice\" class=\"wp-block-heading\">\u00bfQu\u00e9 modelo deber\u00edas elegir?<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Razonamiento y decisiones operativas:<\/strong> El Astra se mostr\u00f3 mucho m\u00e1s completo en esta tanda.<\/li>\n\n\n\n<li><strong>Redacci\u00f3n:<\/strong> Ambas eran v\u00e1lidas; Astra se ajustaba m\u00e1s fielmente a las notas originales, mientras que Fable sonaba pulida, pero inventaba detalles de la interfaz.<\/li>\n\n\n\n<li><strong>Codificaci\u00f3n:<\/strong> Astra proporcion\u00f3 el diagn\u00f3stico m\u00e1s claro. Compara los patrones m\u00e1s amplios en nuestro <a href=\"https:\/\/www.glbgpt.com\/hub\/claude-vs-chatgpt-for-coding\/\">Gu\u00eda de codificaci\u00f3n Claude frente a ChatGPT<\/a>.<\/li>\n\n\n\n<li><strong>Documentos extensos:<\/strong> Ambos detectaron la contradicci\u00f3n con exactitud. La contabilidad de tokens variaba considerablemente, as\u00ed que comprueba los costes con tus propios documentos.<\/li>\n\n\n\n<li><strong>Estrategia de agencia:<\/strong> Ninguna de las dos complet\u00f3 la tarea con restricciones dentro del plazo l\u00edmite; no obstante, Astra devolvi\u00f3 un resultado parcial utilizable.<\/li>\n<\/ul>\n\n\n\n<figure style=\"box-sizing:border-box;margin:28px 0;padding:16px;border:1px solid #b8d9d5;border-top:5px solid #d36449;border-radius:8px;background:#f2f8f7;box-shadow:0 9px 24px rgba(25,76,78,.08)\"><span style=\"display:inline-block;margin:0 0 10px;padding:5px 8px;background:#fee7df;color:#9e3f2c;font-size:11px;font-weight:800;text-transform:uppercase\">Portada del v\u00eddeo \u00b7 OpenAI<\/span><a href=\"https:\/\/www.youtube.com\/watch?v=1QNsdr-Qx_I\" style=\"display:block;text-decoration:none\"><img decoding=\"async\" src=\"https:\/\/static.futureshareai.com\/glb_features\/openai-gpt-6-astra-official-youtube-cover_7da2f4a5b0d044598941a3372c7acab8.webp\" alt=\"OpenAI: Presentaci\u00f3n de GPT-6 Astra \u2014 Portada del v\u00eddeo\" style=\"display:block;width:100%;height:auto;aspect-ratio:16\/7.4;object-fit:cover;border:1px solid #c9dfdb;border-radius:5px;background:#172a2d\"\/><\/a><figcaption style=\"margin:10px 2px 0;color:#4f696b;font-size:14px;line-height:1.55\">OpenAI presenta GPT-6 Astra en su v\u00eddeo de lanzamiento oficial; se trata de informaci\u00f3n facilitada por el proveedor, no de pruebas de rendimiento independientes. <a href=\"https:\/\/www.youtube.com\/watch?v=1QNsdr-Qx_I\">Ver en YouTube<\/a>.<\/figcaption><\/figure>\n\n\n\n<figure style=\"box-sizing:border-box;margin:28px 0;padding:16px;border:1px solid #b8d9d5;border-top:5px solid #d36449;border-radius:8px;background:#f2f8f7;box-shadow:0 9px 24px rgba(25,76,78,.08)\"><span style=\"display:inline-block;margin:0 0 10px;padding:5px 8px;background:#fee7df;color:#9e3f2c;font-size:11px;font-weight:800;text-transform:uppercase\">Portada del v\u00eddeo \u00b7 Anthropic y Claude<\/span><a href=\"https:\/\/www.youtube.com\/watch?v=ROF2Nv_KjOM\" style=\"display:block;text-decoration:none\"><img decoding=\"async\" src=\"https:\/\/static.futureshareai.com\/glb_features\/anthropic-claude-fable-5-1-official-youtube-cover_5d0f24a70d4b439ea59a12b584afc844.webp\" alt=\"V\u00eddeo oficial de presentaci\u00f3n de Claude Fable 5.1\" style=\"display:block;width:100%;height:auto;aspect-ratio:16\/7.4;object-fit:cover;border:1px solid #c9dfdb;border-radius:5px;background:#172a2d\"\/><\/a><figcaption style=\"margin:10px 2px 0;color:#4f696b;font-size:14px;line-height:1.55\">La demostraci\u00f3n oficial de lanzamiento del Fable 5.1 ofrece informaci\u00f3n sobre el contexto del producto, pero no constituye una prueba comparativa controlada. <a href=\"https:\/\/www.youtube.com\/watch?v=ROF2Nv_KjOM\">Ver en YouTube<\/a>.<\/figcaption><\/figure>\n\n\n\n<figure style=\"box-sizing:border-box;margin:28px 0;padding:16px;border:1px solid #b8d9d5;border-top:5px solid #d36449;border-radius:8px;background:#f2f8f7;box-shadow:0 9px 24px rgba(25,76,78,.08)\"><span style=\"display:inline-block;margin:0 0 10px;padding:5px 8px;background:#fee7df;color:#9e3f2c;font-size:11px;font-weight:800;text-transform:uppercase\">Portada del v\u00eddeo \u00b7 Bijan Bowen<\/span><a href=\"https:\/\/www.youtube.com\/watch?v=XcjaHF8Su0c\" style=\"display:block;text-decoration:none\"><img decoding=\"async\" src=\"https:\/\/static.futureshareai.com\/glb_features\/bijan-bowen-gpt-6-astra-vs-claude-fable-5-1-review-cover_49ea5cdafecc4d8f923c0118814e412d.webp\" alt=\"V\u00eddeo comparativo independiente entre el GPT-6 Astra y el Claude Fable 5.1: portada\" style=\"display:block;width:100%;height:auto;aspect-ratio:16\/7.4;object-fit:cover;border:1px solid #c9dfdb;border-radius:5px;background:#172a2d\"\/><\/a><figcaption style=\"margin:10px 2px 0;color:#4f696b;font-size:14px;line-height:1.55\">Una comparaci\u00f3n realizada por terceros con los cap\u00edtulos dedicados a las tareas. Las conclusiones siguen siendo atribuibles al autor. <a href=\"https:\/\/www.youtube.com\/watch?v=XcjaHF8Su0c\">Ver en YouTube<\/a>.<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Para ver otra imagen de referencia, consulta <a href=\"https:\/\/www.glbgpt.com\/hub\/gpt-6-astra-vs-gpt-5-6-sol\/\">GPT-6 Astra frente a GPT-5.6 Sol<\/a> o <a href=\"https:\/\/www.glbgpt.com\/hub\/claude-fable-5-vs-gpt-5-5\/\">Claude Fable 5 contra GPT-5.5<\/a>.<\/p>\n\n\n\n<h2 id=\"globalgpt\" class=\"wp-block-heading\">C\u00f3mo comparar ambos en GlobalGPT<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">GlobalGPT ofrece rutas de llegada independientes para ambos modelos. Utiliza el mismo prompt, la misma restricci\u00f3n de salida y el mismo material de origen, y eval\u00faa primero la correcci\u00f3n visible antes que el estilo. Registra la latencia y el uso de tokens cuando la interfaz o la API los devuelvan. En el caso de documentos largos, mide cada ruta de forma independiente, ya que un texto id\u00e9ntico puede tokenizarse de forma diferente.<\/p>\n\n\n\n<figure style=\"box-sizing:border-box;margin:28px 0;padding:16px;border:1px solid #b8d9d5;border-top:5px solid #087f8c;border-radius:8px;background:#f2f8f7;box-shadow:0 9px 24px rgba(25,76,78,.08)\"><span style=\"display:inline-block;margin:0 0 10px;padding:5px 8px;background:#dcefeb;color:#086b72;font-size:11px;font-weight:800;text-transform:uppercase\">Pruebas \u00b7 GlobalGPT<\/span><img decoding=\"async\" src=\"https:\/\/static.futureshareai.com\/glb_features\/globalgpt-gpt-6-astra_b73690e333784821b03deeb2927af572.webp\" alt=\"Se ha seleccionado GPT-6 Astra en la interfaz GlobalGPT\" style=\"display:block;width:100%;height:auto;border:1px solid #c9dfdb;border-radius:5px;background:#fff\"\/><figcaption style=\"margin:10px 2px 0;color:#4f696b;font-size:14px;line-height:1.55\">El espacio de trabajo del modelo GPT-6 Astra en GlobalGPT.<\/figcaption><\/figure>\n\n\n\n<figure style=\"box-sizing:border-box;margin:28px 0;padding:16px;border:1px solid #b8d9d5;border-top:5px solid #087f8c;border-radius:8px;background:#f2f8f7;box-shadow:0 9px 24px rgba(25,76,78,.08)\"><span style=\"display:inline-block;margin:0 0 10px;padding:5px 8px;background:#dcefeb;color:#086b72;font-size:11px;font-weight:800;text-transform:uppercase\">Pruebas \u00b7 GlobalGPT<\/span><img decoding=\"async\" src=\"https:\/\/static.futureshareai.com\/glb_features\/globalgpt-claude-fable-5-1_af27f0df4eb848f580e1d0667e608174.webp\" alt=\"Se ha seleccionado Claude Fable 5.1 en la interfaz GlobalGPT\" style=\"display:block;width:100%;height:auto;border:1px solid #c9dfdb;border-radius:5px;background:#fff\"\/><figcaption style=\"margin:10px 2px 0;color:#4f696b;font-size:14px;line-height:1.55\">Claude Fable 5.1 est\u00e1 disponible en el mismo entorno de plataforma.<\/figcaption><\/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 wp-element-button\" href=\"https:\/\/www.glbgpt.com\/home\/gpt-6-astra?inviter=hub_popup&amp;login=1\">Prueba GPT-6 Astra<\/a><\/div>\n\n\n\n<div class=\"wp-block-button is-style-outline is-style-outline--1\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/www.glbgpt.com\/home\/claude-fable-5-1?inviter=hub_popup&amp;login=1\">Prueba Claude Fable 5.1<\/a><\/div>\n<\/div>\n\n\n\n<h2 id=\"faq\" class=\"wp-block-heading\">Preguntas frecuentes<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">\u00bfEs el GPT-6 Astra m\u00e1s barato que el Claude Fable 5.1?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Sus precios de cat\u00e1logo b\u00e1sicos de entrada y salida son los mismos. Los precios por aciertos en la cach\u00e9 y las normas sobre contexto largo difieren, mientras que la facturaci\u00f3n GlobalGPT puede utilizar cr\u00e9ditos independientes.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u00bfQu\u00e9 modelo tiene la ventana de contexto m\u00e1s grande?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">GPT-6 Astra tiene 1,05 millones de tokens y Claude Fable 5.1, 1 mill\u00f3n. Ambos tienen una salida m\u00e1xima de 128 000.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u00bfCu\u00e1l era mejor para programar?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">GPT-6 Astra ofreci\u00f3 la respuesta m\u00e1s clara en nuestra \u00fanica prueba con TypeScript. Fable no devolvi\u00f3 ning\u00fan contenido visible a trav\u00e9s de esta v\u00eda de compatibilidad, por lo que no se trata de una valoraci\u00f3n propia del proveedor.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u00bfCu\u00e1l funcionaba mejor para la recuperaci\u00f3n de contexto extenso?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Empataron a 10\/10, al localizar y citar la misma enmienda introducida. Fable registr\u00f3 casi el triple de fichas de aportaci\u00f3n para el mismo expediente.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u00bfPor qu\u00e9 Fable obtuvo una puntuaci\u00f3n m\u00e1s baja?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Varias llamadas a Fable consumieron tokens de finalizaci\u00f3n, pero devolvieron contenido visible truncado o en blanco. Esto podr\u00eda deberse a un problema de la capa de compatibilidad o de la serializaci\u00f3n de la salida.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u00bfPuedo utilizar ambos modelos en GlobalGPT?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">S\u00ed. Las dos rutas exclusivas GlobalGPT estaban operativas cuando se comprob\u00f3 el 8 de septiembre de 2026.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Veredicto final<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">GPT-6 Astra es la opci\u00f3n predeterminada m\u00e1s segura de este conjunto de pruebas: ofreci\u00f3 resultados m\u00e1s completos y \u00fatiles, y obtuvo una puntuaci\u00f3n de 43\/50 frente a 19\/50. Claude Fable 5.1 igual\u00f3 a Astra en la tarea de precisi\u00f3n con contextos largos y gener\u00f3 textos de marketing s\u00f3lidos. Antes de descartar Fable, repite las pruebas a trav\u00e9s de tu punto final de producci\u00f3n; dos resultados en blanco son una advertencia tanto sobre el comportamiento de la integraci\u00f3n como sobre el del modelo.<\/p>\n\n\n\n<p data-copy-status role=\"status\" aria-live=\"polite\" style=\"min-height:20px;color:#087f8c;font-weight:800\"><\/p><script>(function(){document.addEventListener('click',async function(e){var b=e.target.closest('[data-copy-target]');if(!b)return;var t=document.getElementById(b.getAttribute('data-copy-target'));var s=document.querySelector('[data-copy-status]');try{await navigator.clipboard.writeText(t.value);s.textContent='Copied.';}catch(x){t.focus();t.select();s.textContent='Text selected. Press Ctrl\/Cmd+C.';}});})();<\/script>\n\n\n\n<script type=\"application\/ld+json\">{\n    \"@context\": \"https:\\\/\\\/schema.org\",\n    \"@type\": \"FAQPage\",\n    \"mainEntity\": [\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Is GPT-6 Astra cheaper than Claude Fable 5.1?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"Their base input and output list prices are the same. Cache pricing and long-context rules differ.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Which model has the larger context window?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"GPT-6 Astra lists 1.05M tokens; Claude Fable 5.1 lists 1M.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Which model won the tests?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"GPT-6 Astra scored 43\\\/50 versus 19\\\/50 in this compatibility-API run.\"\n            }\n        }\n    ]\n}<\/script>","protected":false},"excerpt":{"rendered":"<p>GPT-6 Astra and Claude Fable 5.1 start at the same headline API prices, but they did not behave the same in our matched compatibility-API tests. Astra returned more usable visible output across reasoning, writing, coding, long-context retrieval, and strategy. Fable tied the long-context accuracy test and wrote credible launch copy, yet several runs were truncated [&hellip;]<\/p>","protected":false},"author":16,"featured_media":19008,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_seopress_robots_primary_cat":"","_seopress_titles_title":"GPT-6 Astra vs Claude Fable 5.1: Tests & Pricing","_seopress_titles_desc":"GPT-6 Astra vs Claude Fable 5.1: compare pricing, context, coding, writing, reasoning, and five matched API tests with visible results.","_seopress_robots_index":"","footnotes":""},"categories":[7],"tags":[],"class_list":["post-18995","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-chat"],"_links":{"self":[{"href":"https:\/\/wp.glbgpt.com\/es\/wp-json\/wp\/v2\/posts\/18995","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.glbgpt.com\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wp.glbgpt.com\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/es\/wp-json\/wp\/v2\/users\/16"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/es\/wp-json\/wp\/v2\/comments?post=18995"}],"version-history":[{"count":4,"href":"https:\/\/wp.glbgpt.com\/es\/wp-json\/wp\/v2\/posts\/18995\/revisions"}],"predecessor-version":[{"id":19007,"href":"https:\/\/wp.glbgpt.com\/es\/wp-json\/wp\/v2\/posts\/18995\/revisions\/19007"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/es\/wp-json\/wp\/v2\/media\/19008"}],"wp:attachment":[{"href":"https:\/\/wp.glbgpt.com\/es\/wp-json\/wp\/v2\/media?parent=18995"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.glbgpt.com\/es\/wp-json\/wp\/v2\/categories?post=18995"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.glbgpt.com\/es\/wp-json\/wp\/v2\/tags?post=18995"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}