{"id":105955,"date":"2026-07-17T21:42:27","date_gmt":"2026-07-17T16:12:27","guid":{"rendered":"https:\/\/seminarsonly.com\/news\/?p=105955"},"modified":"2026-07-17T21:42:27","modified_gmt":"2026-07-17T16:12:27","slug":"selected-model-is-at-capacity-error-fix","status":"publish","type":"post","link":"https:\/\/seminarsonly.com\/news\/selected-model-is-at-capacity-error-fix\/","title":{"rendered":"Error Running Remote Compact Selected Model is at Capacity. Please Try a Different Model | Open AI"},"content":{"rendered":"<p style=\"font-size: 18px; line-height: 1.7; color: #2b2b2b; margin: 0 0 20px 0;\">If you&#8217;re staring at <strong>&#8220;Error running remote compact task: Selected model is at capacity. Please try a different model,&#8221;<\/strong> you&#8217;re not alone \u2014 and it&#8217;s not something broken on your end. Here&#8217;s what&#8217;s actually happening and how to get back to work in the next two minutes.<\/p>\n<p><img decoding=\"async\" style=\"width: 100%; height: auto; border-radius: 8px; margin: 0 0 24px 0; display: block;\" src=\"https:\/\/seminarsonly.com\/news\/wp-content\/uploads\/2026\/07\/featured-image.jpg\" alt=\"Error message reading selected model is at capacity please try a different model, shown on a dark blue AI coding tool interface\" width=\"1200\" height=\"675\" \/><\/p>\n<div style=\"background-color: #eaf3ff; border-left: 6px solid #0b3d6e; border-radius: 6px; padding: 20px 24px; margin: 0 0 28px 0;\">\n<p style=\"margin: 0 0 8px 0; font-size: 19px; font-weight: bold; color: #0b3d6e;\">\u26a1 Quick Answer<\/p>\n<p style=\"margin: 0; font-size: 17px; line-height: 1.7; color: #1a1a1a;\">This error means the AI model you selected (usually inside OpenAI Codex) has hit a temporary capacity or rate limit on OpenAI&#8217;s servers while trying to compact or run your session \u2014 it is <strong>not a bug in your project or your account<\/strong>. Click &#8220;Try Again,&#8221; manually switch to a different available model from the model picker, or wait 5-10 minutes and retry. If it keeps happening across many users at once, it is almost always a server-side capacity event, not something you caused.<\/p>\n<\/div>\n<div style=\"background-color: #fff8e6; border-left: 6px solid #b8860b; border-radius: 6px; padding: 20px 24px; margin: 0 0 32px 0;\">\n<p style=\"margin: 0 0 8px 0; font-size: 19px; font-weight: bold; color: #b8860b;\">\ud83d\udccb TL;DR<\/p>\n<ul style=\"margin: 0; padding-left: 22px; font-size: 17px; line-height: 1.8; color: #1a1a1a;\">\n<li>The error fires when a specific model (not your whole account) is temporarily overloaded on OpenAI&#8217;s backend.<\/li>\n<li>It shows up most often during the &#8220;compact&#8221; step, which compresses long conversation context.<\/li>\n<li>Switching models or retrying after a short wait resolves it in the large majority of cases.<\/li>\n<li>Recurring capacity errors on a specific model are usually tied to demand spikes right after new model releases.<\/li>\n<li>Your work and context are not lost \u2014 a failed compact just needs to be re-run or done manually.<\/li>\n<\/ul>\n<\/div>\n<h2 id=\"what-does-it-mean\" style=\"color: #0b3d6e; font-size: 26px; margin: 36px 0 16px 0;\">What Does &#8220;Selected Model Is at Capacity&#8221; Actually Mean?<\/h2>\n<p style=\"font-size: 17px; line-height: 1.75; color: #2b2b2b; margin: 0 0 16px 0;\">This error is most commonly reported inside <strong>OpenAI Codex<\/strong> \u2014 the desktop app, VS Code extension, and CLI \u2014 though similar &#8220;at capacity&#8221; messages appear across other AI tools when a specific model&#8217;s inference capacity is temporarily saturated. It usually surfaces during a &#8220;remote compact&#8221; task, which is the background process that summarizes and shrinks a long conversation so it fits back inside the model&#8217;s context window.<\/p>\n<p style=\"font-size: 17px; line-height: 1.75; color: #2b2b2b; margin: 0 0 16px 0;\">In plain terms: your request reached OpenAI&#8217;s servers, found the specific model queue full, and got turned away with a message telling you to pick a different model rather than silently failing or hanging. That&#8217;s actually useful \u2014 it&#8217;s an explicit signal, not a generic timeout.<\/p>\n<h3 id=\"why-it-happens\" style=\"color: #b8860b; font-size: 22px; margin: 28px 0 14px 0;\">Why This Happens<\/h3>\n<ul style=\"font-size: 17px; line-height: 1.8; color: #2b2b2b; margin: 0 0 20px 0; padding-left: 22px;\">\n<li><strong>Demand spikes on one model:<\/strong> When a specific model (say, a newly released GPT version) gets a surge of simultaneous requests, its capacity pool fills up faster than less popular models.<\/li>\n<li><strong>Compact tasks are resource-heavy:<\/strong> Compacting a long session requires the model to re-read and summarize a large amount of context, which competes for the same limited inference slots as regular requests.<\/li>\n<li><strong>Regional or time-of-day load:<\/strong> Capacity pressure often clusters around peak usage hours in major time zones.<\/li>\n<li><strong>Short-lived backend incidents:<\/strong> Occasionally this is tied to a broader, temporary service disruption rather than routine load.<\/li>\n<\/ul>\n<p><img decoding=\"async\" style=\"width: 100%; height: auto; border-radius: 8px; margin: 24px 0; display: block;\" src=\"https:\/\/seminarsonly.com\/news\/wp-content\/uploads\/2026\/07\/fix-steps-diagram.jpg\" alt=\"Three step infographic showing how to fix the selected model is at capacity error: retry or switch model, compact or start fresh, check status and report\" width=\"1200\" height=\"675\" \/><\/p>\n<h2 id=\"how-to-fix-it\" style=\"color: #0b3d6e; font-size: 26px; margin: 36px 0 16px 0;\">How to Fix It: Step-by-Step<\/h2>\n<p style=\"font-size: 17px; line-height: 1.75; color: #2b2b2b; margin: 0 0 16px 0;\">Work through these in order. Most people are unblocked at step 1 or 2.<\/p>\n<table style=\"width: 100%; border-collapse: collapse; margin: 0 0 28px 0; font-size: 16px;\">\n<thead>\n<tr style=\"background-color: #0b3d6e;\">\n<th style=\"color: #ffffff; padding: 12px 14px; text-align: left; border: 1px solid #0b3d6e;\" scope=\"col\">Step<\/th>\n<th style=\"color: #ffffff; padding: 12px 14px; text-align: left; border: 1px solid #0b3d6e;\" scope=\"col\">What To Do<\/th>\n<th style=\"color: #ffffff; padding: 12px 14px; text-align: left; border: 1px solid #0b3d6e;\" scope=\"col\">Why It Works<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr style=\"background-color: #eaf3ff;\">\n<td style=\"padding: 12px 14px; border: 1px solid #cdd9e8;\"><strong>1. Retry immediately<\/strong><\/td>\n<td style=\"padding: 12px 14px; border: 1px solid #cdd9e8;\">Click &#8220;Try Again&#8221; on the error, or re-run the same command a few seconds later.<\/td>\n<td style=\"padding: 12px 14px; border: 1px solid #cdd9e8;\">Capacity pools refill within seconds as other requests complete.<\/td>\n<\/tr>\n<tr style=\"background-color: #ffffff;\">\n<td style=\"padding: 12px 14px; border: 1px solid #cdd9e8;\"><strong>2. Switch models manually<\/strong><\/td>\n<td style=\"padding: 12px 14px; border: 1px solid #cdd9e8;\">Open the model selector and pick an alternate available model before resuming.<\/td>\n<td style=\"padding: 12px 14px; border: 1px solid #cdd9e8;\">Different models draw from separate capacity pools, so an overloaded one doesn&#8217;t affect others.<\/td>\n<\/tr>\n<tr style=\"background-color: #fff8e6;\">\n<td style=\"padding: 12px 14px; border: 1px solid #cdd9e8;\"><strong>3. Start a fresh session<\/strong><\/td>\n<td style=\"padding: 12px 14px; border: 1px solid #cdd9e8;\">If compaction keeps failing on a long thread, begin a new session and paste in only the key context.<\/td>\n<td style=\"padding: 12px 14px; border: 1px solid #cdd9e8;\">Avoids repeatedly triggering the resource-heavy compact step that is failing.<\/td>\n<\/tr>\n<tr style=\"background-color: #eaf3ff;\">\n<td style=\"padding: 12px 14px; border: 1px solid #cdd9e8;\"><strong>4. Wait 5-10 minutes<\/strong><\/td>\n<td style=\"padding: 12px 14px; border: 1px solid #cdd9e8;\">Step away and retry after a short cooldown, especially during known peak hours.<\/td>\n<td style=\"padding: 12px 14px; border: 1px solid #cdd9e8;\">Most capacity errors clear on their own once the demand spike settles.<\/td>\n<\/tr>\n<tr style=\"background-color: #ffffff;\">\n<td style=\"padding: 12px 14px; border: 1px solid #cdd9e8;\"><strong>5. Update the app\/CLI<\/strong><\/td>\n<td style=\"padding: 12px 14px; border: 1px solid #cdd9e8;\">Make sure you&#8217;re on the latest Codex app, extension, or CLI version.<\/td>\n<td style=\"padding: 12px 14px; border: 1px solid #cdd9e8;\">Newer releases often include better retry and backoff handling for exactly this error.<\/td>\n<\/tr>\n<tr style=\"background-color: #fff8e6;\">\n<td style=\"padding: 12px 14px; border: 1px solid #cdd9e8;\"><strong>6. Check status &amp; report it<\/strong><\/td>\n<td style=\"padding: 12px 14px; border: 1px solid #cdd9e8;\">Check the official OpenAI status page; if it&#8217;s an active incident, report your case with details for tracking.<\/td>\n<td style=\"padding: 12px 14px; border: 1px solid #cdd9e8;\">Confirms whether it&#8217;s a known, wider issue rather than something local to your setup.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 id=\"is-it-me-or-openai\" style=\"color: #0b3d6e; font-size: 26px; margin: 36px 0 16px 0;\">Is This Your Problem or an OpenAI-Side Issue?<\/h2>\n<p style=\"font-size: 17px; line-height: 1.75; color: #2b2b2b; margin: 0 0 16px 0;\">Community reports on the OpenAI developer forum and GitHub&#8217;s Codex issue tracker show this error appearing repeatedly across many unrelated users and setups within the same short windows, which is a strong signal of server-side capacity pressure rather than an individual account or configuration fault.<\/p>\n<table style=\"width: 100%; border-collapse: collapse; margin: 0 0 28px 0; font-size: 16px;\">\n<thead>\n<tr style=\"background-color: #1f7a3d;\">\n<th style=\"color: #ffffff; padding: 12px 14px; text-align: left; border: 1px solid #1f7a3d;\" scope=\"col\">Signal<\/th>\n<th style=\"color: #ffffff; padding: 12px 14px; text-align: left; border: 1px solid #1f7a3d;\" scope=\"col\">Likely Cause<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr style=\"background-color: #eafbea;\">\n<td style=\"padding: 12px 14px; border: 1px solid #cdeacd;\">Error clears after switching models<\/td>\n<td style=\"padding: 12px 14px; border: 1px solid #cdeacd;\">One model&#8217;s capacity pool was full \u2014 server-side, not your account.<\/td>\n<\/tr>\n<tr style=\"background-color: #ffffff;\">\n<td style=\"padding: 12px 14px; border: 1px solid #cdeacd;\">Error persists on every model you try<\/td>\n<td style=\"padding: 12px 14px; border: 1px solid #cdeacd;\">Possibly a broader outage \u2014 check the status page before troubleshooting further.<\/td>\n<\/tr>\n<tr style=\"background-color: #eafbea;\">\n<td style=\"padding: 12px 14px; border: 1px solid #cdeacd;\">Only happens on very long sessions<\/td>\n<td style=\"padding: 12px 14px; border: 1px solid #cdeacd;\">The compact task itself is resource-heavy; break sessions up sooner.<\/td>\n<\/tr>\n<tr style=\"background-color: #ffffff;\">\n<td style=\"padding: 12px 14px; border: 1px solid #cdeacd;\">Others online report the exact same message right now<\/td>\n<td style=\"padding: 12px 14px; border: 1px solid #cdeacd;\">Confirmed community pattern \u2014 treat it as a temporary capacity event, not a personal issue.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 id=\"prevent-it\" style=\"color: #0b3d6e; font-size: 26px; margin: 36px 0 16px 0;\">How to Prevent It Going Forward<\/h2>\n<ul style=\"font-size: 17px; line-height: 1.8; color: #2b2b2b; margin: 0 0 24px 0; padding-left: 22px;\">\n<li>Compact or start new sessions proactively before a conversation gets extremely long, instead of waiting until the app forces a compact.<\/li>\n<li>Keep a secondary model in mind as a fallback so you can switch instantly instead of troubleshooting mid-task.<\/li>\n<li>Avoid running your heaviest, most context-hungry tasks during known peak hours if you can schedule around it.<\/li>\n<li>Keep your Codex app, browser extension, or CLI updated, since retry and backoff behavior for this exact error has been actively improved in recent releases.<\/li>\n<\/ul>\n<h2 id=\"faq\" style=\"color: #0b3d6e; font-size: 26px; margin: 36px 0 16px 0;\">Frequently Asked Questions<\/h2>\n<h3 style=\"color: #b8860b; font-size: 20px; margin: 24px 0 10px 0;\">Does this error mean I lost my conversation or work?<\/h3>\n<p style=\"font-size: 17px; line-height: 1.75; color: #2b2b2b; margin: 0 0 16px 0;\">No. The failure happens at the compact\/request step, not to your saved history. Your prior messages remain intact; you simply need to retry the action or continue in a new session.<\/p>\n<h3 style=\"color: #b8860b; font-size: 20px; margin: 24px 0 10px 0;\">Is &#8220;selected model is at capacity&#8221; the same as a rate limit error?<\/h3>\n<p style=\"font-size: 17px; line-height: 1.75; color: #2b2b2b; margin: 0 0 16px 0;\">They&#8217;re related but not identical. A rate limit is tied to your account&#8217;s usage allowance, while a capacity error reflects overall demand on a specific model&#8217;s infrastructure at that moment, regardless of your personal usage.<\/p>\n<h3 style=\"color: #b8860b; font-size: 20px; margin: 24px 0 10px 0;\">Why does this happen specifically during &#8220;remote compact&#8221; tasks?<\/h3>\n<p style=\"font-size: 17px; line-height: 1.75; color: #2b2b2b; margin: 0 0 16px 0;\">Compacting a long session asks the model to process and summarize a large amount of context at once, which is more resource-intensive than a typical short exchange, making it more likely to hit a capacity ceiling during busy periods.<\/p>\n<h3 style=\"color: #b8860b; font-size: 20px; margin: 24px 0 10px 0;\">Will this get permanently fixed?<\/h3>\n<p style=\"font-size: 17px; line-height: 1.75; color: #2b2b2b; margin: 0 0 16px 0;\">OpenAI&#8217;s engineering team has discussed adding an interactive recovery picker and better automatic retry\/backoff handling for this exact error class in the Codex app, which should reduce how often users see it directly.<\/p>\n<div style=\"background-color: #eaf3ff; border: 1px solid #0b3d6e; border-radius: 6px; padding: 18px 22px; margin: 32px 0;\">\n<p style=\"margin: 0; font-size: 16px; color: #1a1a1a;\">Related reading: check our <a style=\"color: #0b3d6e; font-weight: bold;\" href=\"https:\/\/seminarsonly.com\/news\/chatgpt-outage-status-tracker\/\">live AI tool outage tracker<\/a> for real-time status, and browse our full <a style=\"color: #0b3d6e; font-weight: bold;\" href=\"https:\/\/seminarsonly.com\/news\/category\/error-fix\/\">tech error fixes hub<\/a> for more AI and software troubleshooting guides.<\/p>\n<\/div>\n<p style=\"font-size: 15px; line-height: 1.7; color: #555555; margin: 24px 0 8px 0;\">Sources: <a style=\"color: #0b3d6e;\" href=\"https:\/\/community.openai.com\/t\/selected-model-is-at-capacity-please-try-a-different-model-june-16th-2026\/1383863\" target=\"_blank\" rel=\"nofollow noopener\">OpenAI Developer Community thread<\/a>, <a style=\"color: #0b3d6e;\" href=\"https:\/\/github.com\/openai\/codex\/issues\/28303\" target=\"_blank\" rel=\"nofollow noopener\">OpenAI Codex GitHub issue tracker<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>If you&#8217;re staring at &#8220;Error running remote compact task: Selected model is at capacity. Please try a different model,&#8221; you&#8217;re not alone \u2014 and it&#8217;s not something broken on your&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"ai_generated_summary":"","footnotes":""},"categories":[6048],"tags":[6816,6820,6815,6817,6819,6814,6818],"class_list":["post-105955","post","type-post","status-publish","format-standard","hentry","category-error-fix","tag-ai-coding-assistant","tag-ai-tool-outages","tag-chatgpt-errors","tag-codex-troubleshooting","tag-model-capacity-error","tag-openai-codex","tag-remote-compact-task"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.7 (Yoast SEO v27.7) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Error Running Remote Compact Selected Model is at Capacity. 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