{"id":20676,"date":"2026-10-14T04:41:42","date_gmt":"2026-10-14T08:41:42","guid":{"rendered":"https:\/\/wp.glbgpt.com\/?p=20676"},"modified":"2026-10-14T05:06:24","modified_gmt":"2026-10-14T09:06:24","slug":"how-to-use-gemini-4-argon","status":"publish","type":"post","link":"https:\/\/wp.glbgpt.com\/jp\/hub\/how-to-use-gemini-4-argon","title":{"rendered":"Gemini 4 Argon \u306e\u5229\u7528\u65b9\u6cd5\uff1a\u30a2\u30af\u30bb\u30b9\u65b9\u6cd5\u3001\u4fa1\u683c\u3001\u304a\u3088\u3073\u5165\u624b\u72b6\u6cc1"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Gemini 4 Argon is available in the Gemini app for Google AI Pro and Ultra subscribers, and through the paid Gemini Developer API. The cheapest verified subscription route for app access is Google AI Pro at <strong>$19.99 USD per month<\/strong> on the Google One page checked October 14, 2026. Standard API pricing is <strong>$2 per million input tokens and $10 per million output tokens through November 30, 2026<\/strong>, rising to <strong>$4 and $20 on December 1<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The catch is the route. A Pro subscription can unlock Argon in the Gemini app without unlocking Argon in AI Studio or your API project. Google&#8217;s <a href=\"https:\/\/blog.google\/innovation-and-ai\/products\/gemini-app\/gemini-4-argon-availability\/\">Gemini app announcement<\/a> confirms Pro and Ultra app access; its developer documentation describes a separate paid-access requirement.<\/p>\n\n\n\n<section style=\"box-sizing:border-box;margin:24px 0;padding:24px;border:1px solid #ddd5ef;border-radius:18px;background:#f7f4ff;color:#24203b;font:16px\/1.6 system-ui,sans-serif;overflow-wrap:anywhere;background:#f7f4ff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">\u7c21\u5358\u306a\u56de\u7b54<\/div><p style=\"font:700 27px\/1.2 Georgia,serif;margin:4px 0 14px;color:#29223e;\">Choose your access route first.<\/p><div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(100%,210px),1fr));gap:12px;\"><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">\u30b8\u30a7\u30df\u30cb\u30a2\u30d7\u30ea<\/div><strong>Google AI Pro \u307e\u305f\u306f Ultra<\/strong><p style=\"margin:8px 0 0\">Pro: $19.99 USD\/month on the checked Google One page.<\/p><\/div><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">\u958b\u767a\u8005\u5411\u3051API<\/div><strong>Paid API project<\/strong><p style=\"margin:8px 0 0\">Standard: $2 input \/ $10 output per million tokens through November 30, 2026.<\/p><\/div><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">\u91cd\u8981\u306a\u5236\u9650\u4e8b\u9805<\/div><strong>One shared token budget<\/strong><p style=\"margin:8px 0 0\">1,048,576 tokens for input, thinking, and output.<\/p><\/div><\/div><p style=\"margin:14px 0 0;font-size:13px\">Checked October 14, 2026. API output pricing includes thinking; local subscription checkout can differ.<\/p><\/section>\n\n\n\n<p class=\"wp-block-paragraph\">This guide shows how to use Gemini 4 Argon, which access route to choose, what each route costs, and what to check when the model is missing. We also ran three small tasks through an OpenAI-compatible test API, including a price calculator whose generated Python code passed 20 behavioral checks. These are practical observations, rather than a ranking of Argon against other models.<\/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\/10\/image-3-1024x547.png\" class=\"wp-image-20674\" srcset=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/10\/image-3-1024x547.png 1024w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/10\/image-3-300x160.png 300w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/10\/image-3-768x410.png 768w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/10\/image-3-18x10.png 18w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/10\/image-3-1536x820.png 1536w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/10\/image-3-2048x1094.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\/gemini-4-argon\" style=\"background:radial-gradient(rgb(255,245,203) 0%,rgb(182,227,212) 50%,rgb(51,167,181) 100%)\"><strong>Try on GlobalGPT<\/strong><\/a><\/div>\n<\/div>\n\n\n\n<nav aria-label=\"\u3053\u306e\u30ac\u30a4\u30c9\u3067\u306f\" style=\"box-sizing:border-box;margin:24px 0;padding:24px;border:1px solid #ddd5ef;border-radius:18px;background:#f7f4ff;color:#24203b;font:16px\/1.6 system-ui,sans-serif;overflow-wrap:anywhere;background:linear-gradient(120deg,#ede6fb,#eef7f2)\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">\u3053\u306e\u30ac\u30a4\u30c9\u3067\u306f<\/div><ol style=\"margin:0;padding-left:22px\"><li style=\"padding:5px 0\"><a href=\"#what-is-gemini-4-argon\" style=\"color:#563981;text-decoration:underline\">What is Gemini 4 Argon?<\/a><\/li><li style=\"padding:5px 0\"><a href=\"#where-can-you-access-gemini-4-argon\" style=\"color:#563981;text-decoration:underline\">Where can you access Gemini 4 Argon?<\/a><\/li><li style=\"padding:5px 0\"><a href=\"#how-to-use-gemini-4-argon-in-the-gemini-app\" style=\"color:#563981;text-decoration:underline\">How to use Gemini 4 Argon in the Gemini app<\/a><\/li><li style=\"padding:5px 0\"><a href=\"#how-to-use-gemini-4-argon-in-ai-studio-and-the-api\" style=\"color:#563981;text-decoration:underline\">How to use Gemini 4 Argon in AI Studio and the API<\/a><\/li><li style=\"padding:5px 0\"><a href=\"#gemini-4-argon-pricing-subscriptions-and-api-rates\" style=\"color:#563981;text-decoration:underline\">Gemini 4 Argon pricing: subscriptions and API rates<\/a><\/li><li style=\"padding:5px 0\"><a href=\"#availability-limits-and-missingmodel-problems\" style=\"color:#563981;text-decoration:underline\">Availability, limits, and missing-model problems<\/a><\/li><li style=\"padding:5px 0\"><a href=\"#our-gemini-4-argon-tests-costs-evidence-and-code\" style=\"color:#563981;text-decoration:underline\">Our Gemini 4 Argon tests: costs, evidence, and code<\/a><\/li><li style=\"padding:5px 0\"><a href=\"#which-gemini-4-argon-route-should-you-choose\" style=\"color:#563981;text-decoration:underline\">Which Gemini 4 Argon route should you choose?<\/a><\/li><li style=\"padding:5px 0\"><a href=\"#faq\" style=\"color:#563981;text-decoration:underline\">\u3088\u304f\u3042\u308b\u8cea\u554f<\/a><\/li><\/ol><\/nav>\n\n\n\n<h2 id=\"what-is-gemini-4-argon\" class=\"wp-block-heading\">What is Gemini 4 Argon?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Gemini 4 Argon is Google&#8217;s flagship reasoning model for demanding software engineering, mathematical and scientific work, and complex knowledge tasks. Its exact API model ID is <strong><code>gemini-4-argon<\/code><\/strong>. . <a href=\"https:\/\/ai.google.dev\/gemini-api\/docs\/models\/gemini-4-argon\">official model reference<\/a> lists it as a stable model, with an October 2026 update.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Its most useful distinction is a unified context budget. Input, thinking, and output share <strong>1,048,576 \u30c8\u30fc\u30af\u30f3<\/strong>. Default synchronous output stops at <strong>65,536\u30c8\u30fc\u30af\u30f3<\/strong>; longer generation needs the appropriate long-decode workflow. A large input window does not give you a separate million-token output allowance.<\/p>\n\n\n\n<section style=\"box-sizing:border-box;margin:24px 0;padding:24px;border:1px solid #ddd5ef;border-radius:18px;background:#f7f4ff;color:#24203b;font:16px\/1.6 system-ui,sans-serif;overflow-wrap:anywhere;background:#f7f4ff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">Argon at a glance<\/div><div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(100%,210px),1fr));gap:12px;\"><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">Stable model ID<\/div><code style=\"font-size:17px\">gemini-4-argon<\/code><\/div><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">Unified context<\/div><strong style=\"font-size:24px\">1,048,576<\/strong><div>input + thinking + output tokens<\/div><\/div><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">Synchronous output<\/div><strong style=\"font-size:24px\">65,536<\/strong><div>default maximum output tokens<\/div><\/div><\/div><\/section>\n\n\n\n<p class=\"wp-block-paragraph\">Argon accepts text, images, video, audio, and PDF inputs, and produces text. It supports tools such as function calling, code execution, file search, search grounding, and structured outputs. Audio generation, image generation, and the Live API are not supported by this model endpoint. A Gemini app feature that creates media can use another model behind the scenes.<\/p>\n\n\n\n<figure style=\"margin:28px 0;font:14px\/1.6 system-ui,sans-serif;color:#5d526b\"><a href=\"https:\/\/ai.google.dev\/gemini-api\/docs\/models\/gemini-4-argon\" aria-label=\"Open the official source\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/static.futureshareai.com\/glb_features\/mcp\/4\/gemini-4-argon-model-evidence_bdd75197bad74ca68f9120ed9ec9c439.webp\" width=\"1100\" height=\"855\" alt=\"Google Gemini API model reference showing the Argon model ID, input types, and shared context and output limits.\" style=\"display:block;width:100%;height:auto;border:1px solid #ded8e6;border-radius:12px;box-sizing:border-box\"><\/a><figcaption style=\"padding:10px 4px\">Google\u2019s model reference: 1,048,576 shared context tokens and 65,536 default synchronous output tokens. Captured October 14, 2026.<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">For a cheaper model to evaluate alongside Argon, our <a href=\"https:\/\/www.glbgpt.com\/hub\/gemini-3-8-flash-review\/\">Gemini 3.8 \u30d5\u30e9\u30c3\u30b7\u30e5\u30ec\u30d3\u30e5\u30fc<\/a> covers another current Google model with its own prices and test findings. Choosing Argon should come from a task that benefits from deeper reasoning, rather than the newest model name alone.<\/p>\n\n\n\n<h2 id=\"where-can-you-access-gemini-4-argon\" class=\"wp-block-heading\">Where can you access Gemini 4 Argon?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Choose the product around the work you want to finish. The Gemini app suits conversations and document analysis. AI Studio suits prompt development and API experimentation. The Gemini Developer API suits software that calls the model. Google Antigravity provides an agentic development environment.<\/p>\n\n\n\n<section style=\"box-sizing:border-box;margin:24px 0;padding:24px;border:1px solid #ddd5ef;border-radius:18px;background:#f7f4ff;color:#24203b;font:16px\/1.6 system-ui,sans-serif;overflow-wrap:anywhere;background:#f7f4ff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">Five access routes<\/div><div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(100%,210px),1fr));gap:12px;\"><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">\u30b0\u30ed\u30fc\u30d0\u30ebGPT<\/div><strong>Argon and other AI tools<\/strong><p style=\"margin:8px 0 0\">Use the dedicated Gemini 4 Argon chat page in your GlobalGPT account.<\/p><\/div><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">\u30b8\u30a7\u30df\u30cb\u30a2\u30d7\u30ea<\/div><strong>Conversation and documents<\/strong><p style=\"margin:8px 0 0\">Eligible Pro and Ultra subscriptions include Argon app access.<\/p><\/div><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">AI\u30b9\u30bf\u30b8\u30aa<\/div><strong>Prompt experiments<\/strong><p style=\"margin:8px 0 0\">Use an eligible paid API project or the documented Ultra route.<\/p><\/div><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">Gemini \u958b\u767a\u8005\u5411\u3051 API<\/div><strong>Repeatable software calls<\/strong><p style=\"margin:8px 0 0\">Fund a paid project; personal Pro does not unlock Argon for your API key.<\/p><\/div><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">\u30b0\u30fc\u30b0\u30eb\u30fb\u30a2\u30f3\u30c1\u30b0\u30e9\u30d3\u30c6\u30a3<\/div><strong>\u884c\u70ba\u8005\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0<\/strong><p style=\"margin:8px 0 0\">The launch announcement identifies an Ultra subscriber route.<\/p><\/div><\/div><\/section>\n\n\n\n<h3 class=\"wp-block-heading\">How to use Gemini 4 Argon on GlobalGPT<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u3092\u958b\u304f\u3002 <a href=\"https:\/\/www.glbgpt.com\/home\/gemini-4-argon?inviter=hub_content_gemini4argon&amp;login=1\">GlobalGPT Gemini 4 Argon page<\/a>, sign in to your GlobalGPT account, and select Gemini 4 Argon for your conversation. Start with a concrete task and the relevant source material; the document-analysis prompt below works as a useful template.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">GlobalGPT brings Argon and other AI tools into one account. This is a platform chat route with its own account and billing, separate from your Google AI subscription or a Gemini API project. The Google prices below describe Google&#8217;s services.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u30b0\u30fc\u30b0\u30eb\u306e <a href=\"https:\/\/blog.google\/innovation-and-ai\/technology\/developers-tools\/build-with-gemini-4-argon\/\">developer launch announcement<\/a> says developers can build using the paid Gemini API tier in AI Studio and Android Studio, and that Google AI Ultra subscribers can try Argon in AI Studio and Antigravity. It does not make a personal Pro subscription an entitlement for every developer route.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This distinction matters before you upgrade. Paying for a chat subscription and funding an API project solve different problems. Our <a href=\"https:\/\/www.glbgpt.com\/hub\/google-ai-plus-vs-pro\/\">Google AI Plus\u3068Pro\u306e\u6bd4\u8f03<\/a> explains the broader plan differences; use the fresh Argon-specific facts here when deciding whether either plan covers this model.<\/p>\n\n\n\n<h2 id=\"how-to-use-gemini-4-argon-in-the-gemini-app\" class=\"wp-block-heading\">How to use Gemini 4 Argon in the Gemini app<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Open the Gemini app with the Google account that holds your eligible Pro or Ultra subscription. Look for Gemini 4 Argon among the available model choices. Confirm the selected model before starting your task, especially if the app offers several reasoning or speed options. Google&#8217;s October 13 announcement establishes the subscription entitlement; your account&#8217;s visible controls establish what has reached you.<\/p>\n\n\n\n<figure style=\"margin:28px 0;font:14px\/1.6 system-ui,sans-serif;color:#5d526b\"><a href=\"https:\/\/blog.google\/innovation-and-ai\/products\/gemini-app\/gemini-4-argon-availability\/\" aria-label=\"Open the official source\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/static.futureshareai.com\/glb_features\/mcp\/4\/gemini-4-argon-app-evidence_b01ccb7903524caf898d2aa5633a54fc.webp\" width=\"980\" height=\"720\" alt=\"Google\u2019s October 13 announcement says Google AI Pro and Ultra subscribers can access Gemini 4 Argon in the Gemini app.\" style=\"display:block;width:100%;height:auto;border:1px solid #ded8e6;border-radius:12px;box-sizing:border-box\"><\/a><figcaption style=\"padding:10px 4px\">The app launch announcement identifies Pro and Ultra access. This entitlement is specific to the Gemini app.<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Give Argon a concrete job, attach the relevant material, and define a useful output. \u201cAnalyze this PDF\u201d leaves it to guess what matters. A better request names the decision, asks for evidence locations, and tells the model how to handle missing information.<\/p>\n\n\n\n<section data-copy-card=\"document-prompt\" style=\"box-sizing:border-box;margin:24px 0;padding:24px;border:1px solid #ddd5ef;border-radius:18px;background:#f7f4ff;color:#24203b;font:16px\/1.6 system-ui,sans-serif;overflow-wrap:anywhere;background:#f7f4ff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">\u30b9\u30bf\u30fc\u30bf\u30fc<\/div><div style=\"font:700 27px\/1.2 Georgia,serif;margin:4px 0 14px;color:#29223e;\">Document-analysis prompt<\/div><pre data-copy-text data-full-text contenteditable=\"plaintext-only\" role=\"textbox\" aria-multiline=\"true\" aria-label=\"Document-analysis prompt\" spellcheck=\"false\" tabindex=\"0\" style=\"box-sizing:border-box;display:block;margin:0;width:100%;max-width:100%;min-width:0;padding:16px;border:1px solid #c8bddd;border-radius:10px;background:#fff;color:#24203b;font:14px\/1.65 ui-monospace,Consolas,monospace;white-space:pre-wrap;overflow-wrap:anywhere;height:auto;min-height:0;max-height:none;overflow:visible;\">Read the attached proposal and write a decision memo for our operations lead.\nUse these headings: Recommendation, Evidence, Costs, Open Questions, Next Step.\nCite the page or section for each factual claim.\nKeep confirmed facts separate from estimates and assumptions.\nIf the document does not state a price, deadline, or owner, mark it unknown.\nLimit the memo to 600 words.<\/pre><div style=\"display:flex;align-items:center;gap:12px;flex-wrap:wrap;margin-top:12px\"><button type=\"button\" onclick=\"(async function(b){const c=b.closest('[data-copy-card]'),t=c.querySelector('[data-copy-text]'),s=c.querySelector('[role=status]'),text=t.tagName==='TEXTAREA'?t.value:t.innerText;try{if(!navigator.clipboard||!navigator.clipboard.writeText)throw Error('unavailable');await Promise.race([navigator.clipboard.writeText(text),new Promise((_,r)=&gt;setTimeout(()=&gt;r(Error('timeout')),900))]);s.textContent='Copied.';}catch(e){t.focus();if(t.tagName==='TEXTAREA'){t.select();t.setSelectionRange(0,t.value.length);}else{const r=document.createRange();r.selectNodeContents(t);const selection=window.getSelection();selection.removeAllRanges();selection.addRange(r);}s.textContent='Selected. Press Ctrl\/Cmd+C.';}})(this)\" style=\"border:0;border-radius:9px;background:#624198;color:white;padding:11px 18px;font:700 14px system-ui;cursor:pointer\">Copy text<\/button><span role=\"status\" style=\"font:14px\/1.5 system-ui;color:#514266\">Ready to copy the complete text.<\/span><\/div><\/section>\n\n\n\n<p class=\"wp-block-paragraph\">Review the citations against the source document before acting on the memo. The most useful answer gives you a decision and a way to verify it. Fluency alone does not establish that a figure, contract term, or recommendation is correct.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">If your goal is a chart or interactive explanation, our <a href=\"https:\/\/www.glbgpt.com\/hub\/gemini-app-interactive-visualizations-guide\/\">Gemini app interactive visualizations guide<\/a> covers that product workflow. Keep the app interface and its additional tools separate from what the Argon API endpoint returns.<\/p>\n\n\n\n<h2 id=\"how-to-use-gemini-4-argon-in-ai-studio-and-the-api\" class=\"wp-block-heading\">How to use Gemini 4 Argon in AI Studio and the API<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">For prompt experimentation, Google&#8217;s documented <a href=\"https:\/\/aistudio.google.com\/prompts\/new_chat?model=gemini-4-argon\">Argon AI Studio link<\/a> opens the model-specific entry. Check that the selected project has eligible access. If Argon is marked paid, a personal Pro subscription does not remove the developer access requirement.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For an application, create or select a Gemini API project, obtain its API key, and set up the paid tier when required. Google&#8217;s <a href=\"https:\/\/ai.google.dev\/gemini-api\/docs\/billing\">billing guide<\/a> describes linking a billing account and the current prepay setup, including a $5 minimum or local-currency equivalent where prepay applies. A credit balance is an API funding mechanism, rather than a monthly Gemini app subscription.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Google recommends the Interactions API in its <a href=\"https:\/\/ai.google.dev\/gemini-api\/docs\/latest-model\">current Argon quickstart and migration guide<\/a>. After installing the current <code>google-genai<\/code> package and setting <code>GEMINI_API_KEY<\/code> in your environment, a short request looks like this. The example adapts Google&#8217;s documented quickstart; our hands-on tests used a separate compatible API.<\/p>\n\n\n\n<section data-copy-card=\"sdk-starter\" style=\"box-sizing:border-box;margin:24px 0;padding:24px;border:1px solid #ddd5ef;border-radius:18px;background:#f7f4ff;color:#24203b;font:16px\/1.6 system-ui,sans-serif;overflow-wrap:anywhere;background:#f7f4ff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">\u30b9\u30bf\u30fc\u30bf\u30fc<\/div><div style=\"font:700 27px\/1.2 Georgia,serif;margin:4px 0 14px;color:#29223e;\">Official SDK starter<\/div><pre data-copy-text data-full-text contenteditable=\"plaintext-only\" role=\"textbox\" aria-multiline=\"true\" aria-label=\"Official SDK starter\" spellcheck=\"false\" tabindex=\"0\" style=\"box-sizing:border-box;display:block;margin:0;width:100%;max-width:100%;min-width:0;padding:16px;border:1px solid #c8bddd;border-radius:10px;background:#fff;color:#24203b;font:14px\/1.65 ui-monospace,Consolas,monospace;white-space:pre-wrap;overflow-wrap:anywhere;height:auto;min-height:0;max-height:none;overflow:visible;\">from google import genai\n\nclient = genai.Client()\ninteraction = client.interactions.create(\n    model=&quot;gemini-4-argon&quot;,\n    input=&quot;Explain the main risks in migrating a payment service, in five bullets.&quot;,\n)\nprint(interaction.output_text)<\/pre><div style=\"display:flex;align-items:center;gap:12px;flex-wrap:wrap;margin-top:12px\"><button type=\"button\" onclick=\"(async function(b){const c=b.closest('[data-copy-card]'),t=c.querySelector('[data-copy-text]'),s=c.querySelector('[role=status]'),text=t.tagName==='TEXTAREA'?t.value:t.innerText;try{if(!navigator.clipboard||!navigator.clipboard.writeText)throw Error('unavailable');await Promise.race([navigator.clipboard.writeText(text),new Promise((_,r)=&gt;setTimeout(()=&gt;r(Error('timeout')),900))]);s.textContent='Copied.';}catch(e){t.focus();if(t.tagName==='TEXTAREA'){t.select();t.setSelectionRange(0,t.value.length);}else{const r=document.createRange();r.selectNodeContents(t);const selection=window.getSelection();selection.removeAllRanges();selection.addRange(r);}s.textContent='Selected. Press Ctrl\/Cmd+C.';}})(this)\" style=\"border:0;border-radius:9px;background:#624198;color:white;padding:11px 18px;font:700 14px system-ui;cursor:pointer\">Copy text<\/button><span role=\"status\" style=\"font:14px\/1.5 system-ui;color:#514266\">Ready to copy the complete text.<\/span><\/div><\/section>\n\n\n\n<p class=\"wp-block-paragraph\">Start with one representative request. Inspect the output, status, and usage before processing a whole dataset. Use low, medium, or high thinking based on the task; Google&#8217;s default is medium. Its migration guide says <code>\u6e29\u5ea6<\/code>, <code>top_p<\/code>, \u305d\u3057\u3066 <code>top_k<\/code> are ignored for Argon, so copying old sampling settings does not give you a reliable control over this model.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">If you are migrating a previous Gemini integration, review explicit caching calls and output caps as well as the model string. Argon supports implicit caching, with cache hits discounted according to the price table, but does not support explicit <code>cached_content<\/code> objects. Our older <a href=\"https:\/\/www.glbgpt.com\/hub\/gemini-3-1-pro-api-pricing-performance-the-complete-guide-for-developers\/\">Gemini 3.1 Pro API \u4fa1\u683c\u30ac\u30a4\u30c9<\/a> is useful background for an existing integration; its model-specific rates and limits should not be carried over to Argon.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">How to generate more than 65,536 tokens<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">On the Interactions API, long decode needs background execution and a <code>max_output_tokens<\/code> value above 65,536. The remaining unified context budget still applies. Google&#8217;s <a href=\"https:\/\/ai.google.dev\/gemini-api\/docs\/long-decode\">long-decode guide<\/a> explains how the service generates continuation hops and how to join their text outputs.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For example, 980,000 input tokens leave at most <strong>68,576 tokens for thinking and output<\/strong> within the 1,048,576-token window. Asking for 100,000 output tokens exceeds the combined budget, even if you enable long decode.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Long decode also changes how you should read spending. Each continuation hop sends earlier material back as input, with repeated input receiving the documented implicit-cache discount. The sum of billable input across hops is not the size of your final context. Monitor the interaction&#8217;s actual usage totals rather than pricing a very long task from the original prompt alone.<\/p>\n\n\n\n<h2 id=\"gemini-4-argon-pricing-subscriptions-and-api-rates\" class=\"wp-block-heading\">Gemini 4 Argon pricing: subscriptions and API rates<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">There are two different bills to consider: a subscription for Google&#8217;s consumer products and token usage for your developer project. The following USD subscription prices were rendered on the <a href=\"https:\/\/one.google.com\/about\/google-ai-plans\/\">Google One plans page<\/a> on October 14, 2026. Local currency, eligibility, and checkout offers can differ.<\/p>\n\n\n\n<section style=\"box-sizing:border-box;margin:24px 0;padding:24px;border:1px solid #ddd5ef;border-radius:18px;background:#f7f4ff;color:#24203b;font:16px\/1.6 system-ui,sans-serif;overflow-wrap:anywhere;background:#f1faf5\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">Google One subscription prices \u00b7 USD\/month<\/div><div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(100%,210px),1fr));gap:12px;\"><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">Google AI Pro<\/div><div style=\"font-size:29px;font-weight:800\">$19.99<\/div><p style=\"margin:8px 0 0\">Lowest verified subscription price for Argon in the Gemini app.<\/p><\/div><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">Google AI Ultra \u00b7 5x<\/div><div style=\"font-size:29px;font-weight:800\">$99.99<\/div><p style=\"margin:8px 0 0\">Higher usage tier; includes Argon app access.<\/p><\/div><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">Google AI Ultra \u00b7 20x<\/div><div style=\"font-size:29px;font-weight:800\">$199.99<\/div><p style=\"margin:8px 0 0\">Higher usage tier; includes Argon app access.<\/p><\/div><\/div><p style=\"margin:14px 0 0;font-size:13px\">Rendered USD monthly prices checked October 14, 2026. These subscriptions and developer token bills are separate.<\/p><\/section>\n\n\n\n<p class=\"wp-block-paragraph\">Google AI Plus was listed at $4.99 USD per month, but the verified plan page identifies <strong>Pro and Ultra<\/strong> as the Argon app-access plans. Ultra&#8217;s higher usage allowances may matter for frequent heavy work; choose them for an observed usage need rather than assuming every request requires the highest tier.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">API introductory pricing through November 30, 2026<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u30b0\u30fc\u30b0\u30eb\u306e <a href=\"https:\/\/ai.google.dev\/gemini-api\/docs\/pricing#gemini-4-argon\">Gemini Developer API price table<\/a> publishes separate Standard, Batch, Flex, and Priority rates. Every figure below is USD per <strong>one million tokens<\/strong>. Output prices include thinking tokens. The December column is the published price change, not another first-month offer.<\/p>\n\n\n\n<section style=\"box-sizing:border-box;margin:24px 0;padding:24px;border:1px solid #ddd5ef;border-radius:18px;background:#f7f4ff;color:#24203b;font:16px\/1.6 system-ui,sans-serif;overflow-wrap:anywhere;background:#f7f4ff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">API price change \u00b7 USD per million tokens<\/div><div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(100%,210px),1fr));gap:12px;\"><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">\u30b9\u30bf\u30f3\u30c0\u30fc\u30c9<\/div><div style=\"padding:10px 0;border-bottom:1px solid #e5dfed\"><strong>Through Nov 30, 2026<\/strong><div>\u30a4\u30f3\u30d7\u30c3\u30c8 <b>$2<\/b> \u00b7 Output <b>$10<\/b><\/div><\/div><div style=\"padding:10px 0\"><strong>From Dec 1, 2026<\/strong><div>\u30a4\u30f3\u30d7\u30c3\u30c8 <b>$4<\/b> \u00b7 Output <b>$20<\/b><\/div><\/div><\/div><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">\u30d0\u30c3\u30c1<\/div><div style=\"padding:10px 0;border-bottom:1px solid #e5dfed\"><strong>Through Nov 30, 2026<\/strong><div>\u30a4\u30f3\u30d7\u30c3\u30c8 <b>$1<\/b> \u00b7 Output <b>$5<\/b><\/div><\/div><div style=\"padding:10px 0\"><strong>From Dec 1, 2026<\/strong><div>\u30a4\u30f3\u30d7\u30c3\u30c8 <b>$2<\/b> \u00b7 Output <b>$10<\/b><\/div><\/div><\/div><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">Flex<\/div><div style=\"padding:10px 0;border-bottom:1px solid #e5dfed\"><strong>Through Nov 30, 2026<\/strong><div>\u30a4\u30f3\u30d7\u30c3\u30c8 <b>$1<\/b> \u00b7 Output <b>$5<\/b><\/div><\/div><div style=\"padding:10px 0\"><strong>From Dec 1, 2026<\/strong><div>\u30a4\u30f3\u30d7\u30c3\u30c8 <b>$2<\/b> \u00b7 Output <b>$10<\/b><\/div><\/div><\/div><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">\u512a\u5148\u5ea6<\/div><div style=\"padding:10px 0;border-bottom:1px solid #e5dfed\"><strong>Through Nov 30, 2026<\/strong><div>\u30a4\u30f3\u30d7\u30c3\u30c8 <b>$3.60<\/b> \u00b7 Output <b>$18<\/b><\/div><\/div><div style=\"padding:10px 0\"><strong>From Dec 1, 2026<\/strong><div>\u30a4\u30f3\u30d7\u30c3\u30c8 <b>$7.20<\/b> \u00b7 Output <b>$36<\/b><\/div><\/div><\/div><\/div><p style=\"margin:14px 0 0\">Output includes thinking tokens. No Free API tier for Argon. Caching and grounding are priced separately.<\/p><\/section>\n\n\n\n<figure style=\"margin:28px 0;font:14px\/1.6 system-ui,sans-serif;color:#5d526b\"><a href=\"https:\/\/ai.google.dev\/gemini-api\/docs\/pricing#gemini-4-argon\" aria-label=\"Open the official source\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/static.futureshareai.com\/glb_features\/mcp\/4\/gemini-4-argon-pricing-evidence_23ae0f16e042437a9a9c9bf2212bc2fc.webp\" width=\"1100\" height=\"1065\" alt=\"Official Gemini 4 Argon Standard API prices in USD per million tokens, including the November and December rate dates, caching, and grounding footnote.\" style=\"display:block;width:100%;height:auto;border:1px solid #ded8e6;border-radius:12px;box-sizing:border-box\"><\/a><figcaption style=\"padding:10px 4px\">Standard API pricing, captured October 14, 2026. The complete table retains the paid-tier units, thinking-token scope, dated rates, and Search footnote.<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Implicit cached input is $0.10 per million tokens for Standard through November 30, then $0.20 from December 1. Batch and Flex cached input is $0.05, then $0.10; Priority is $0.18, then $0.36. Explicit cache creation is unsupported, so do not add a cache-storage workflow borrowed from an older model.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The Standard and Priority tables also list Search and Maps grounding charges separately: a shared allowance of 5,000 requests per month across Gemini 3 and newer models, followed by $14 per 1,000 requests or queries as specified by the relevant row. One model request can cause multiple Search queries. Token rates alone do not cover every tool-enabled task.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">What does a real request cost?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u306b\u3064\u3044\u3066 <strong>25,000 uncached input tokens and 4,000 billable output tokens<\/strong>, Standard&#8217;s introductory estimate is <code>(25,000 \u00f7 1,000,000 \u00d7 $2) + (4,000 \u00f7 1,000,000 \u00d7 $10) = $0.09<\/code>. The output count must already include billed thinking tokens. At the December rates, the same quantities cost $0.18.<\/p>\n\n\n\n<section style=\"box-sizing:border-box;margin:24px 0;padding:24px;border:1px solid #ddd5ef;border-radius:18px;background:#f7f4ff;color:#24203b;font:16px\/1.6 system-ui,sans-serif;overflow-wrap:anywhere;background:#f7f4ff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">Same job, different date and tier<\/div><p style=\"margin:0 0 16px\">25,000 uncached input + 4,000 billable output tokens<\/p><div style=\"margin:14px 0\"><div style=\"display:flex;justify-content:space-between;gap:10px;flex-wrap:wrap;font-size:14px\"><span>Batch \u00b7 through Nov 30<\/span><strong>$0.045<\/strong><\/div><div style=\"height:12px;background:#e5dfef;border-radius:7px;margin-top:5px\"><div style=\"width:25%;height:100%;background:#419374;border-radius:7px\"><\/div><\/div><\/div><div style=\"margin:14px 0\"><div style=\"display:flex;justify-content:space-between;gap:10px;flex-wrap:wrap;font-size:14px\"><span>Standard \u00b7 through Nov 30<\/span><strong>$0.090<\/strong><\/div><div style=\"height:12px;background:#e5dfef;border-radius:7px;margin-top:5px\"><div style=\"width:50%;height:100%;background:#7c5aae;border-radius:7px\"><\/div><\/div><\/div><div style=\"margin:14px 0\"><div style=\"display:flex;justify-content:space-between;gap:10px;flex-wrap:wrap;font-size:14px\"><span>Batch \u00b7 from Dec 1<\/span><strong>$0.090<\/strong><\/div><div style=\"height:12px;background:#e5dfef;border-radius:7px;margin-top:5px\"><div style=\"width:50%;height:100%;background:#419374;border-radius:7px\"><\/div><\/div><\/div><div style=\"margin:14px 0\"><div style=\"display:flex;justify-content:space-between;gap:10px;flex-wrap:wrap;font-size:14px\"><span>Standard \u00b7 from Dec 1<\/span><strong>$0.180<\/strong><\/div><div style=\"height:12px;background:#e5dfef;border-radius:7px;margin-top:5px\"><div style=\"width:100%;height:100%;background:#7c5aae;border-radius:7px\"><\/div><\/div><\/div><p style=\"margin:16px 0 0;font-size:13px\">Token-rate estimates. Output already includes thinking. Excludes grounding, tax, and other charges.<\/p><\/section>\n\n\n\n<p class=\"wp-block-paragraph\">Batch&#8217;s corresponding token estimate is $0.045 during the introductory period and $0.09 afterward. One hundred identical jobs would be $4.50 or $9.00 on Batch, compared with $9.00 or $18.00 on Standard. These are rate-based estimates excluding grounding, other charges, taxes, and any different usage produced by the model.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A workflow that sends routine extraction to a cheaper model and escalates the difficult cases can reduce spending more effectively than putting every job on a flagship by default. Our <a href=\"https:\/\/www.glbgpt.com\/hub\/all-in-one-ai-models\/\">\u30de\u30eb\u30c1\u30e2\u30c7\u30eb\u30fb\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u30fb\u30ac\u30a4\u30c9<\/a> explains that routing approach without making an Argon access promise for another platform.<\/p>\n\n\n\n<h2 id=\"availability-limits-and-missingmodel-problems\" class=\"wp-block-heading\">Availability, limits, and missing-model problems<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Argon has an official stable model ID and live access documentation, but availability still depends on the product, region, account, and billing state. Google&#8217;s <a href=\"https:\/\/ai.google.dev\/gemini-api\/docs\/available-regions\">AI Studio and API regions page<\/a> lists supported territories and states an 18+ requirement for that developer service. Do not assume the Gemini app and AI Studio use identical eligibility rules.<\/p>\n\n\n\n<section style=\"box-sizing:border-box;margin:24px 0;padding:24px;border:1px solid #ddd5ef;border-radius:18px;background:#f7f4ff;color:#24203b;font:16px\/1.6 system-ui,sans-serif;overflow-wrap:anywhere;background:#fff4ed\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">When Argon is missing<\/div><div style=\"display:grid;gap:12px\"><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">App access missing<\/div>Confirm the signed-in account holds an eligible Pro or Ultra subscription, then inspect its actual model choices.<\/div><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">AI Studio says paid<\/div>Check the selected developer project and billing. Pro app access does not fund a Gemini API project.<\/div><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">Request rejected<\/div>Verify the exact model ID, developer region and age eligibility, active billing, and the returned error.<\/div><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">Long answer ends early<\/div>Inspect terminal status and output usage. More than 65,536 output tokens requires long decode and enough shared context.<\/div><\/div><\/section>\n\n\n\n<p class=\"wp-block-paragraph\">If the model is visible but a request fails, record the error and check the correct project&#8217;s billing and credit state. If the answer ends early, inspect the output limit and terminal status before concluding that Argon cannot finish the task. A small output cap can be consumed by thinking; a higher cap also increases the spending ceiling.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Older rate-limit advice may refer to another model or another billing setup. Our <a href=\"https:\/\/www.glbgpt.com\/hub\/gemini-3-1-pro-limits-2026-the-ultimate-guide-to-bypassing-rate-limits-quotas\/\">Gemini 3.1 Pro \u306e\u5236\u9650\u306b\u95a2\u3059\u308b\u30ac\u30a4\u30c9<\/a> provides background on quota terminology, while the current Argon project and official documentation should determine the limits you use today.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Early access feedback: useful, but account-specific<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">In the October 13 Reddit thread started by <strong>u\/Radiant_Tradition647<\/strong>, <a href=\"https:\/\/www.reddit.com\/r\/GeminiAI\/comments\/1x51smr\/comment\/pgjai3z\/\">one commenter, u\/PhraseMargin, reported getting Argon on Pro<\/a> while the original post questioned why access was missing. That is evidence of those users&#8217; experiences, rather than a universal rollout schedule or a measured daily quota.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In a separate <a href=\"https:\/\/www.reddit.com\/r\/GeminiAI\/comments\/1x50qhn\/per_logan_kilpatrick_looks_like_gemini_4_argon_is\/\">October 13 discussion started by u\/swiftidnc739<\/a>, users debated the difference between app access and the paid developer or Antigravity routes. Google&#8217;s current product documentation is the stronger source for entitlement. A model appearing in a picker, a user&#8217;s subscription, and a successful request are three different things to verify.<\/p>\n\n\n\n<h2 id=\"our-gemini-4-argon-tests-costs-evidence-and-code\" class=\"wp-block-heading\">Our Gemini 4 Argon tests: costs, evidence, and code<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">We tested the model ID <code>gemini-4-argon<\/code> through an <strong>OpenAI-compatible test API on October 14, 2026<\/strong>. Each successful response returned that model string. We supplied fixed facts and explicit acceptance criteria, retained the raw outputs, and checked the relevant calculations and code. These small tasks do not test the full million-token window, native app tools, long decode, official rate limits, or Google&#8217;s billing.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The first two submissions failed during TLS transport and returned no model output. Each completed on one retry, with the successful raw responses and retry records retained. The coding task completed on its first submission. Gateway round-trip times include network and service overhead, so they are not reported here as model inference speed.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u79c1\u305f\u3061\u306e <a href=\"https:\/\/www.glbgpt.com\/hub\/how-globalgpt-tests-ai-models\/\">AI model testing methodology<\/a> explains the difference between a useful task observation and a broad quality claim. This article&#8217;s venue is the compatible test API identified above.<\/p>\n\n\n\n<section style=\"box-sizing:border-box;margin:24px 0;padding:24px;border:1px solid #ddd5ef;border-radius:18px;background:#f7f4ff;color:#24203b;font:16px\/1.6 system-ui,sans-serif;overflow-wrap:anywhere;background:#eef7f2\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">Three small, traceable tests<\/div><div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(min(100%,210px),1fr));gap:12px;\"><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">Budget and access<\/div><strong>5 cost figures correct<\/strong><div>App\/API distinction preserved; recommendation wording needed review.<\/div><\/div><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">Evidence handling<\/div><strong>7 of 7 cases covered<\/strong><div>Unsigned quotas and omitted prices remained unverified.<\/div><\/div><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">Generated Python<\/div><strong>20 behavioral checks passed<\/strong><div>Original code executed without edits; dates, tiers, precision, and validation checked.<\/div><\/div><\/div><p style=\"margin:14px 0 0;font-size:13px\">One successful run per task through the compatible test API. First two tasks needed a retry after a TLS transport failure. No comparative ranking or audited billing result.<\/p><\/section>\n\n\n\n<h3 class=\"wp-block-heading\">Test 1: a Pro subscriber choosing an API budget<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">We supplied the app-access statement, developer-access statement, and dated token prices. The user already held Pro, needed occasional app document analysis, and had 100 backend jobs of 25,000 input and 4,000 billable output tokens. The response separated app and API access and got all five requested cost figures right.<\/p>\n\n\n\n<section data-copy-card=\"test1-prompt\" style=\"box-sizing:border-box;margin:24px 0;padding:24px;border:1px solid #ddd5ef;border-radius:18px;background:#f7f4ff;color:#24203b;font:16px\/1.6 system-ui,sans-serif;overflow-wrap:anywhere;background:#f7f4ff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">\u30d7\u30ed\u30f3\u30d7\u30c8<\/div><div style=\"font:700 27px\/1.2 Georgia,serif;margin:4px 0 14px;color:#29223e;\">Test 1 \u00b7 exact submitted prompt<\/div><pre data-copy-text data-full-text contenteditable=\"plaintext-only\" role=\"textbox\" aria-multiline=\"true\" aria-label=\"Test 1 \u00b7 exact submitted prompt\" spellcheck=\"false\" tabindex=\"0\" style=\"box-sizing:border-box;display:block;margin:0;width:100%;max-width:100%;min-width:0;padding:16px;border:1px solid #c8bddd;border-radius:10px;background:#fff;color:#24203b;font:14px\/1.65 ui-monospace,Consolas,monospace;white-space:pre-wrap;overflow-wrap:anywhere;height:auto;min-height:0;max-height:none;overflow:visible;\">Verified-source excerpts supplied for this task (checked 2026-10-14):\n1. Google Gemini app announcement, 2026-10-13: Google AI Pro and Ultra subscribers can access Gemini 4 Argon in the Gemini app.\n2. Developer announcement, 2026-10-13: Build with the paid tier of the Gemini API in Google AI Studio and Android Studio. Google AI Ultra subscribers can try Argon in AI Studio and Google Antigravity.\n3. Gemini Developer API pricing: Argon is not available on the Free API tier or through Google AI Pro for that developer route. Standard rates per 1M tokens are input $2 and output $10 through 2026-11-30, then input $4 and output $20 from 2026-12-01. Output rates include thinking tokens. Batch and Flex rates per 1M are input $1\/output $5 through 2026-11-30, then input $2\/output $10 from 2026-12-01. Priority is $3.60\/$18, then $7.20\/$36. Search\/Maps charges and tax are separate. Implicit cache is supported; explicit cache is not.\n4. Argon model reference: unified input-plus-output context limit 1,048,576 tokens; default synchronous max output 65,536; long decode can reach 1,048,576 subject to the same unified context budget. Inputs text, image, video, audio, PDF; output text. No image generation, audio generation or Live API.\n5. These excerpts do not state Google AI Pro\/Ultra subscription prices, exact daily Argon message quotas, or availability in every country. They do not establish a third-party platform's Argon access.\n\nUser situation: I already pay for Google AI Pro. I need occasional document analysis in a chat app, plus a separate backend job processing exactly 25,000 uncached input tokens and 4,000 billable output tokens per request. The 4,000 output count already includes thinking. I expect 100 such jobs per month and can tolerate asynchronous delivery.\nReturn JSON only, with keys app_route, developer_route, standard_per_job_october_usd, standard_per_job_december_usd, standard_100_jobs_october_usd, batch_per_job_october_usd, batch_per_job_december_usd, recommended_backend_tier, subscription_price_known, caveats.\nCalculate from these excerpts only. Explain the Google AI Pro distinction without treating the app announcement and developer pricing as the same route. Do not invent a subscription price, country list, free Argon tier, or third-party access. Use numeric values for the cost fields. Keep the complete answer under 700 words.<\/pre><div style=\"display:flex;align-items:center;gap:12px;flex-wrap:wrap;margin-top:12px\"><button type=\"button\" onclick=\"(async function(b){const c=b.closest('[data-copy-card]'),t=c.querySelector('[data-copy-text]'),s=c.querySelector('[role=status]'),text=t.tagName==='TEXTAREA'?t.value:t.innerText;try{if(!navigator.clipboard||!navigator.clipboard.writeText)throw Error('unavailable');await Promise.race([navigator.clipboard.writeText(text),new Promise((_,r)=&gt;setTimeout(()=&gt;r(Error('timeout')),900))]);s.textContent='Copied.';}catch(e){t.focus();if(t.tagName==='TEXTAREA'){t.select();t.setSelectionRange(0,t.value.length);}else{const r=document.createRange();r.selectNodeContents(t);const selection=window.getSelection();selection.removeAllRanges();selection.addRange(r);}s.textContent='Selected. Press Ctrl\/Cmd+C.';}})(this)\" style=\"border:0;border-radius:9px;background:#624198;color:white;padding:11px 18px;font:700 14px system-ui;cursor:pointer\">Copy text<\/button><span role=\"status\" style=\"font:14px\/1.5 system-ui;color:#514266\">Ready to copy the complete text.<\/span><\/div><\/section>\n\n\n\n<section data-copy-card=\"test1-output\" style=\"box-sizing:border-box;margin:24px 0;padding:24px;border:1px solid #ddd5ef;border-radius:18px;background:#f7f4ff;color:#24203b;font:16px\/1.6 system-ui,sans-serif;overflow-wrap:anywhere;background:#f1faf5\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">Original output<\/div><div style=\"font:700 27px\/1.2 Georgia,serif;margin:4px 0 14px;color:#29223e;\">Test 1 \u00b7 complete original JSON<\/div><textarea data-copy-text aria-label=\"Test 1 \u00b7 complete original JSON\" spellcheck=\"false\" rows=\"19\" style=\"box-sizing:border-box;display:block;margin:0;width:100%;max-width:100%;min-width:0;padding:16px;border:1px solid #c8bddd;border-radius:10px;background:#fff;color:#24203b;font:14px\/1.65 ui-monospace,Consolas,monospace;white-space:pre-wrap;overflow-wrap:anywhere;resize:vertical;\">{\n  &quot;app_route&quot;: &quot;Your existing Google AI Pro subscription grants access to Gemini 4 Argon inside the consumer Gemini app, which covers your occasional chat-based document analysis (PDF and text inputs are supported). This consumer app access is completely separate from developer API access.&quot;,\n  &quot;developer_route&quot;: &quot;Google AI Pro does not grant access to Argon in the Gemini Developer API or Google AI Studio (only Google AI Ultra subscribers get trial access in AI Studio and Google Antigravity), and Argon is not available on the Free API tier. For your backend job, you must use the paid tier of the Gemini Developer API.&quot;,\n  &quot;standard_per_job_october_usd&quot;: 0.09,\n  &quot;standard_per_job_december_usd&quot;: 0.18,\n  &quot;standard_100_jobs_october_usd&quot;: 9.0,\n  &quot;batch_per_job_october_usd&quot;: 0.045,\n  &quot;batch_per_job_december_usd&quot;: 0.09,\n  &quot;recommended_backend_tier&quot;: &quot;Batch or Flex tier on the paid Gemini Developer API. Because your backend workflow can tolerate asynchronous delivery, Batch\/Flex cuts your per-job token cost by 50% compared to Standard rates ($4.50 vs. $9.00 for 100 jobs through 2026-11-30; $9.00 vs. $18.00 starting 2026-12-01).&quot;,\n  &quot;subscription_price_known&quot;: false,\n  &quot;caveats&quot;: [\n    &quot;The provided excerpts do not state Google AI Pro or Ultra subscription prices, exact daily Argon message quotas in the app, country availability, or third-party platform access.&quot;,\n    &quot;Promotional API pricing applies through 2026-11-30; both Standard and Batch\/Flex token rates double starting 2026-12-01.&quot;,\n    &quot;Taxes and any applicable Search or Maps charges are billed separately from token rates.&quot;,\n    &quot;Implicit caching is supported, but explicit caching is not.&quot;,\n    &quot;Argon outputs text only and does not support image generation, audio generation, or the Live API.&quot;,\n    &quot;Your 29,000 combined tokens per job easily fit within the 1,048,576 unified input-plus-output context limit and the 65,536 default synchronous max output limit.&quot;\n  ]\n}<\/textarea><div style=\"display:flex;align-items:center;gap:12px;flex-wrap:wrap;margin-top:12px\"><button type=\"button\" onclick=\"(async function(b){const c=b.closest('[data-copy-card]'),t=c.querySelector('[data-copy-text]'),s=c.querySelector('[role=status]'),text=t.tagName==='TEXTAREA'?t.value:t.innerText;try{if(!navigator.clipboard||!navigator.clipboard.writeText)throw Error('unavailable');await Promise.race([navigator.clipboard.writeText(text),new Promise((_,r)=&gt;setTimeout(()=&gt;r(Error('timeout')),900))]);s.textContent='Copied.';}catch(e){t.focus();if(t.tagName==='TEXTAREA'){t.select();t.setSelectionRange(0,t.value.length);}else{const r=document.createRange();r.selectNodeContents(t);const selection=window.getSelection();selection.removeAllRanges();selection.addRange(r);}s.textContent='Selected. Press Ctrl\/Cmd+C.';}})(this)\" style=\"border:0;border-radius:9px;background:#624198;color:white;padding:11px 18px;font:700 14px system-ui;cursor:pointer\">\u51fa\u529b\u3092\u30b3\u30d4\u30fc<\/button><span role=\"status\" style=\"font:14px\/1.5 system-ui;color:#514266\">Ready to copy the complete text.<\/span><\/div><p style=\"margin:10px 0 0;font:13px\/1.6 system-ui;color:#514266\">Complete original output; scroll to read all lines or use Copy.<\/p><\/section>\n\n\n\n<p class=\"wp-block-paragraph\">The response grouped Batch and Flex in its recommendation. For a workload explicitly designed around asynchronous submission, <strong>Batch is the straightforward choice<\/strong>; Flex is a separate consumption option. The model&#8217;s recommendation is not a substitute for checking that option&#8217;s operational requirements. It also used the phrase \u201ctrial access\u201d for Ultra, whereas Google&#8217;s announcement says subscribers can try the model without establishing a universal free-trial allowance.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Test 2: seven cases with missing or conflicting information<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">We gave Argon seven cases covering Pro app access, a free API project, direct MP3\/PNG generation, an oversized input-output request, an unsigned forum claim, omitted thinking-token costs, and assumed feature parity. Its JSON covered all seven cases. It rejected the unsupported media outputs, included thinking in billable output, and identified both limits in the oversized request.<\/p>\n\n\n\n<section data-copy-card=\"test2-prompt\" style=\"box-sizing:border-box;margin:24px 0;padding:24px;border:1px solid #ddd5ef;border-radius:18px;background:#f7f4ff;color:#24203b;font:16px\/1.6 system-ui,sans-serif;overflow-wrap:anywhere;background:#f7f4ff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">\u30d7\u30ed\u30f3\u30d7\u30c8<\/div><div style=\"font:700 27px\/1.2 Georgia,serif;margin:4px 0 14px;color:#29223e;\">Test 2 \u00b7 exact submitted prompt<\/div><pre data-copy-text data-full-text contenteditable=\"plaintext-only\" role=\"textbox\" aria-multiline=\"true\" aria-label=\"Test 2 \u00b7 exact submitted prompt\" spellcheck=\"false\" tabindex=\"0\" style=\"box-sizing:border-box;display:block;margin:0;width:100%;max-width:100%;min-width:0;padding:16px;border:1px solid #c8bddd;border-radius:10px;background:#fff;color:#24203b;font:14px\/1.65 ui-monospace,Consolas,monospace;white-space:pre-wrap;overflow-wrap:anywhere;height:auto;min-height:0;max-height:none;overflow:visible;\">Verified-source excerpts supplied for this task (checked 2026-10-14):\n1. Google Gemini app announcement, 2026-10-13: Google AI Pro and Ultra subscribers can access Gemini 4 Argon in the Gemini app.\n2. Developer announcement, 2026-10-13: Build with the paid tier of the Gemini API in Google AI Studio and Android Studio. Google AI Ultra subscribers can try Argon in AI Studio and Google Antigravity.\n3. Gemini Developer API pricing: Argon is not available on the Free API tier or through Google AI Pro for that developer route. Standard rates per 1M tokens are input $2 and output $10 through 2026-11-30, then input $4 and output $20 from 2026-12-01. Output rates include thinking tokens. Batch and Flex rates per 1M are input $1\/output $5 through 2026-11-30, then input $2\/output $10 from 2026-12-01. Priority is $3.60\/$18, then $7.20\/$36. Search\/Maps charges and tax are separate. Implicit cache is supported; explicit cache is not.\n4. Argon model reference: unified input-plus-output context limit 1,048,576 tokens; default synchronous max output 65,536; long decode can reach 1,048,576 subject to the same unified context budget. Inputs text, image, video, audio, PDF; output text. No image generation, audio generation or Live API.\n5. These excerpts do not state Google AI Pro\/Ultra subscription prices, exact daily Argon message quotas, or availability in every country. They do not establish a third-party platform's Argon access.\n\nAdditional case records:\nA. Mara has Google AI Pro and wants to analyze a 30-page PDF inside the Gemini app. Her country and age eligibility have not been checked.\nB. Dev has a free Gemini API project and wants to run Argon from Python. He assumes his personal AI Pro subscription unlocks his API key.\nC. Lea needs Argon to generate an MP3 narration and a PNG poster directly through its model endpoint.\nD. Noor needs a 100,000-token textual output. She expects it to work with an unchanged default synchronous request. Her input is 980,000 tokens.\nE. An unsigned forum note says: &quot;Everyone gets 500 Argon messages a day, every country works, Pro is $19.99 and Ultra is $249.99.&quot; No original source is attached. These are unverified statements.\nF. A budgeting spreadsheet lists 8,000 displayed answer tokens and 2,000 thinking tokens but uses only the 8,000 to estimate output spending.\nG. A procurement manager wants proof that all native Gemini app features also exist on every OpenAI-compatible API.\nReturn valid JSON only: {&quot;cases&quot;:[{&quot;id&quot;:&quot;A&quot;, &quot;decision&quot;:&quot;...&quot;, &quot;reason&quot;:&quot;...&quot;, &quot;missing_information&quot;:[]}],&quot;unverified_claims&quot;:[],&quot;unified_context_calculation&quot;:{&quot;input&quot;:980000,&quot;proposed_output&quot;:100000,&quot;total&quot;:1080000,&quot;within_limit&quot;:false},&quot;billing_output_tokens_for_F&quot;:10000}.\nInclude all seven cases A-G once. Use only supplied evidence; do not treat record E as an authority. For D, explicitly consider both the default output limit and unified input\/output limit. Keep the complete answer under 850 words.<\/pre><div style=\"display:flex;align-items:center;gap:12px;flex-wrap:wrap;margin-top:12px\"><button type=\"button\" onclick=\"(async function(b){const c=b.closest('[data-copy-card]'),t=c.querySelector('[data-copy-text]'),s=c.querySelector('[role=status]'),text=t.tagName==='TEXTAREA'?t.value:t.innerText;try{if(!navigator.clipboard||!navigator.clipboard.writeText)throw Error('unavailable');await Promise.race([navigator.clipboard.writeText(text),new Promise((_,r)=&gt;setTimeout(()=&gt;r(Error('timeout')),900))]);s.textContent='Copied.';}catch(e){t.focus();if(t.tagName==='TEXTAREA'){t.select();t.setSelectionRange(0,t.value.length);}else{const r=document.createRange();r.selectNodeContents(t);const selection=window.getSelection();selection.removeAllRanges();selection.addRange(r);}s.textContent='Selected. Press Ctrl\/Cmd+C.';}})(this)\" style=\"border:0;border-radius:9px;background:#624198;color:white;padding:11px 18px;font:700 14px system-ui;cursor:pointer\">Copy text<\/button><span role=\"status\" style=\"font:14px\/1.5 system-ui;color:#514266\">Ready to copy the complete text.<\/span><\/div><\/section>\n\n\n\n<section data-copy-card=\"test2-output\" style=\"box-sizing:border-box;margin:24px 0;padding:24px;border:1px solid #ddd5ef;border-radius:18px;background:#f7f4ff;color:#24203b;font:16px\/1.6 system-ui,sans-serif;overflow-wrap:anywhere;background:#f1faf5\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">Original output<\/div><div style=\"font:700 27px\/1.2 Georgia,serif;margin:4px 0 14px;color:#29223e;\">Test 2 \u00b7 complete original JSON<\/div><textarea data-copy-text aria-label=\"Test 2 \u00b7 complete original JSON\" spellcheck=\"false\" rows=\"12\" style=\"box-sizing:border-box;display:block;margin:0;width:100%;max-width:100%;min-width:0;padding:16px;border:1px solid #c8bddd;border-radius:10px;background:#fff;color:#24203b;font:14px\/1.65 ui-monospace,Consolas,monospace;white-space:pre-wrap;overflow-wrap:anywhere;resize:vertical;\">{&quot;cases&quot;:[{&quot;id&quot;:&quot;A&quot;,&quot;decision&quot;:&quot;Conditionally supported&quot;,&quot;reason&quot;:&quot;Google AI Pro subscribers can access Gemini 4 Argon in the Gemini app (Excerpt 1), and Argon supports PDF input and text output (Excerpt 4). However, global country availability and user eligibility are not confirmed by the excerpts (Excerpt 5, Case A).&quot;,&quot;missing_information&quot;:[&quot;Mara&#8217;s country availability&quot;,&quot;Mara&#8217;s age eligibility&quot;,&quot;Exact daily Argon message quotas or Gemini app PDF size\/page limits&quot;]},{&quot;id&quot;:&quot;B&quot;,&quot;decision&quot;:&quot;Not supported&quot;,&quot;reason&quot;:&quot;Argon is not available on the Free Gemini API tier, and a Google AI Pro subscription does not unlock Argon for the developer API route; the paid API tier is required (Excerpts 2, 3).&quot;,&quot;missing_information&quot;:[]},{&quot;id&quot;:&quot;C&quot;,&quot;decision&quot;:&quot;Not supported&quot;,&quot;reason&quot;:&quot;Argon outputs text only and explicitly does not support image generation (PNG) or audio generation (MP3) (Excerpt 4).&quot;,&quot;missing_information&quot;:[]},{&quot;id&quot;:&quot;D&quot;,&quot;decision&quot;:&quot;Not supported&quot;,&quot;reason&quot;:&quot;The request fails two limits in Excerpt 4: (1) a 100,000-token output exceeds the default synchronous max output limit of 65,536 tokens ( requiring long decode), and (2) even with long decode, the 980,000 input tokens plus 100,000 output tokens total 1,080,000 tokens, which exceeds the unified input-plus-output context limit of 1,048,576 tokens.&quot;,&quot;missing_information&quot;:[]},{&quot;id&quot;:&quot;E&quot;,&quot;decision&quot;:&quot;Unverified \/ Cannot be substantiated&quot;,&quot;reason&quot;:&quot;Record E is an unsigned forum note with unverified statements, and Excerpt 5 confirms that the verified excerpts do not state subscription prices, exact daily message quotas, or availability in every country.&quot;,&quot;missing_information&quot;:[&quot;Verified Google AI Pro and Ultra subscription prices&quot;,&quot;Verified daily Argon message quotas&quot;,&quot;Verified country-by-country availability list&quot;]},{&quot;id&quot;:&quot;F&quot;,&quot;decision&quot;:&quot;Incorrect budget calculation&quot;,&quot;reason&quot;:&quot;Gemini Developer API output rates include thinking tokens (Excerpt 3). Therefore, both the 8,000 displayed answer tokens and 2,000 thinking tokens must be billed, totaling 10,000 output tokens rather than 8,000.&quot;,&quot;missing_information&quot;:[&quot;Date of API usage (on\/before 2026-11-30 vs. from 2026-12-01)&quot;,&quot;Service tier used (Standard, Batch\/Flex, or Priority)&quot;,&quot;Applicable taxes or separate Search\/Maps charges&quot;]},{&quot;id&quot;:&quot;G&quot;,&quot;decision&quot;:&quot;Cannot be proven \/ Not supported&quot;,&quot;reason&quot;:&quot;The supplied excerpts do not establish third-party or OpenAI-compatible platform access to Argon or parity with native Gemini app features (Excerpt 5).&quot;,&quot;missing_information&quot;:[&quot;Verified documentation on third-party or OpenAI-compatible API support and feature parity&quot;]}],&quot;unverified_claims&quot;:[&quot;Everyone gets 500 Argon messages a day&quot;,&quot;Every country works for Argon access&quot;,&quot;Google AI Pro costs $19.99&quot;,&quot;Google AI Ultra costs $249.99&quot;,&quot;All native Gemini app features exist on every OpenAI-compatible API&quot;],&quot;unified_context_calculation&quot;:{&quot;input&quot;:980000,&quot;proposed_output&quot;:100000,&quot;total&quot;:1080000,&quot;within_limit&quot;:false},&quot;billing_output_tokens_for_F&quot;:10000}<\/textarea><div style=\"display:flex;align-items:center;gap:12px;flex-wrap:wrap;margin-top:12px\"><button type=\"button\" onclick=\"(async function(b){const c=b.closest('[data-copy-card]'),t=c.querySelector('[data-copy-text]'),s=c.querySelector('[role=status]'),text=t.tagName==='TEXTAREA'?t.value:t.innerText;try{if(!navigator.clipboard||!navigator.clipboard.writeText)throw Error('unavailable');await Promise.race([navigator.clipboard.writeText(text),new Promise((_,r)=&gt;setTimeout(()=&gt;r(Error('timeout')),900))]);s.textContent='Copied.';}catch(e){t.focus();if(t.tagName==='TEXTAREA'){t.select();t.setSelectionRange(0,t.value.length);}else{const r=document.createRange();r.selectNodeContents(t);const selection=window.getSelection();selection.removeAllRanges();selection.addRange(r);}s.textContent='Selected. Press Ctrl\/Cmd+C.';}})(this)\" style=\"border:0;border-radius:9px;background:#624198;color:white;padding:11px 18px;font:700 14px system-ui;cursor:pointer\">\u51fa\u529b\u3092\u30b3\u30d4\u30fc<\/button><span role=\"status\" style=\"font:14px\/1.5 system-ui;color:#514266\">Ready to copy the complete text.<\/span><\/div><p style=\"margin:10px 0 0;font:13px\/1.6 system-ui;color:#514266\">Complete original output; scroll to read all lines or use Copy.<\/p><\/section>\n\n\n\n<p class=\"wp-block-paragraph\">The useful behavior was its treatment of unknowns. The supplied evidence bundle deliberately omitted subscription prices and exact daily quotas. Argon left those claims unverified rather than adopting an unsigned forum note. The subscription prices elsewhere in this article come from our separate Google One page check, not from that test response.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Test 3: generate a dated API price helper, then run it<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">We asked for a standard-library Python function that estimates uncached token costs, switches rates on December 1, uses <code>\u5c0f\u6570<\/code>, and rejects invalid inputs. We ran the returned code without editing it after inspecting its imports and calls. <strong>All 20 behavioral checks passed<\/strong>, including the November 30\/December 1 boundary, each service tier, fractional-cent precision, and invalid token\/date values.<\/p>\n\n\n\n<section data-copy-card=\"test3-prompt\" style=\"box-sizing:border-box;margin:24px 0;padding:24px;border:1px solid #ddd5ef;border-radius:18px;background:#f7f4ff;color:#24203b;font:16px\/1.6 system-ui,sans-serif;overflow-wrap:anywhere;background:#f7f4ff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">\u30d7\u30ed\u30f3\u30d7\u30c8<\/div><div style=\"font:700 27px\/1.2 Georgia,serif;margin:4px 0 14px;color:#29223e;\">Test 3 \u00b7 exact submitted prompt<\/div><pre data-copy-text data-full-text contenteditable=\"plaintext-only\" role=\"textbox\" aria-multiline=\"true\" aria-label=\"Test 3 \u00b7 exact submitted prompt\" spellcheck=\"false\" tabindex=\"0\" style=\"box-sizing:border-box;display:block;margin:0;width:100%;max-width:100%;min-width:0;padding:16px;border:1px solid #c8bddd;border-radius:10px;background:#fff;color:#24203b;font:14px\/1.65 ui-monospace,Consolas,monospace;white-space:pre-wrap;overflow-wrap:anywhere;height:auto;min-height:0;max-height:none;overflow:visible;\">Write a small Python 3 standard-library helper for a Gemini 4 Argon API spending estimate.\nReturn raw Python code only, with no Markdown fences and no prose. The public function must be estimate_cost(input_tokens, output_tokens, when, tier='standard') and return a Decimal USD total with no premature rounding. when is an ISO date string YYYY-MM-DD. Both token counts must be nonnegative integers; reject bool, float, string and negative values with ValueError. Reject unknown tiers and invalid dates with ValueError.\nRates per one million tokens, through November 30, 2026 inclusive: standard input 2\/output 10, batch and flex input 1\/output 5, priority input 3.60\/output 18. From December 1, 2026 inclusive: standard 4\/20, batch and flex 2\/10, priority 7.20\/36. Reject dates earlier than October 13, 2026, because these launch rates are the only supplied historical evidence.\nAssume all input is uncached and output_tokens already includes billed thinking tokens. Exclude cache, grounding, taxes, consumer subscriptions and third-party prices. Keep it short, readable and directly executable. Include a concise docstring documenting estimate scope and thinking-token treatment. Do not send a network request or read environment variables.<\/pre><div style=\"display:flex;align-items:center;gap:12px;flex-wrap:wrap;margin-top:12px\"><button type=\"button\" onclick=\"(async function(b){const c=b.closest('[data-copy-card]'),t=c.querySelector('[data-copy-text]'),s=c.querySelector('[role=status]'),text=t.tagName==='TEXTAREA'?t.value:t.innerText;try{if(!navigator.clipboard||!navigator.clipboard.writeText)throw Error('unavailable');await Promise.race([navigator.clipboard.writeText(text),new Promise((_,r)=&gt;setTimeout(()=&gt;r(Error('timeout')),900))]);s.textContent='Copied.';}catch(e){t.focus();if(t.tagName==='TEXTAREA'){t.select();t.setSelectionRange(0,t.value.length);}else{const r=document.createRange();r.selectNodeContents(t);const selection=window.getSelection();selection.removeAllRanges();selection.addRange(r);}s.textContent='Selected. Press Ctrl\/Cmd+C.';}})(this)\" style=\"border:0;border-radius:9px;background:#624198;color:white;padding:11px 18px;font:700 14px system-ui;cursor:pointer\">Copy text<\/button><span role=\"status\" style=\"font:14px\/1.5 system-ui;color:#514266\">Ready to copy the complete text.<\/span><\/div><\/section>\n\n\n\n<section data-copy-card=\"test3-output\" style=\"box-sizing:border-box;margin:24px 0;padding:24px;border:1px solid #ddd5ef;border-radius:18px;background:#f7f4ff;color:#24203b;font:16px\/1.6 system-ui,sans-serif;overflow-wrap:anywhere;background:#f1faf5\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">Original output<\/div><div style=\"font:700 27px\/1.2 Georgia,serif;margin:4px 0 14px;color:#29223e;\">Test 3 \u00b7 complete original Python<\/div><textarea data-copy-text aria-label=\"Test 3 \u00b7 complete original Python\" spellcheck=\"false\" rows=\"22\" style=\"box-sizing:border-box;display:block;margin:0;width:100%;max-width:100%;min-width:0;padding:16px;border:1px solid #c8bddd;border-radius:10px;background:#fff;color:#24203b;font:14px\/1.65 ui-monospace,Consolas,monospace;white-space:pre-wrap;overflow-wrap:anywhere;resize:vertical;\">from datetime import date\nfrom decimal import Decimal\nimport re\n\n_LAUNCH_DATE = date(2026, 10, 13)\n_PRICE_CHANGE_DATE = date(2026, 12, 1)\n_DATE_RE = re.compile(r&quot;^\\d{4}-\\d{2}-\\d{2}$&quot;)\n_MILLION = Decimal(&quot;1000000&quot;)\n\n_RATES_INITIAL = {\n    &quot;standard&quot;: (Decimal(&quot;2&quot;), Decimal(&quot;10&quot;)),\n    &quot;batch&quot;: (Decimal(&quot;1&quot;), Decimal(&quot;5&quot;)),\n    &quot;flex&quot;: (Decimal(&quot;1&quot;), Decimal(&quot;5&quot;)),\n    &quot;priority&quot;: (Decimal(&quot;3.60&quot;), Decimal(&quot;18&quot;)),\n}\n\n_RATES_DEC_2026 = {\n    &quot;standard&quot;: (Decimal(&quot;4&quot;), Decimal(&quot;20&quot;)),\n    &quot;batch&quot;: (Decimal(&quot;2&quot;), Decimal(&quot;10&quot;)),\n    &quot;flex&quot;: (Decimal(&quot;2&quot;), Decimal(&quot;10&quot;)),\n    &quot;priority&quot;: (Decimal(&quot;7.20&quot;), Decimal(&quot;36&quot;)),\n}\n\n\ndef _validate_tokens(value, name):\n    if isinstance(value, bool) or not isinstance(value, int) or value &lt; 0:\n        raise ValueError(f&quot;{name} must be a nonnegative integer&quot;)\n\n\ndef _parse_date(when):\n    if not isinstance(when, str) or not _DATE_RE.match(when):\n        raise ValueError(&quot;when must be a YYYY-MM-DD string&quot;)\n    try:\n        parsed = date.fromisoformat(when)\n    except ValueError as exc:\n        raise ValueError(&quot;Invalid calendar date&quot;) from exc\n    if parsed &lt; _LAUNCH_DATE:\n        raise ValueError(&quot;Dates before 2026-10-13 are not supported&quot;)\n    return parsed\n\n\ndef estimate_cost(input_tokens, output_tokens, when, tier=&#8217;standard&#8217;):\n    &quot;&quot;&quot;Estimate Gemini 4 Argon API USD cost with exact Decimal arithmetic.\n\n    Scope: uncached input tokens and total output tokens (caller must include\n    billed thinking tokens in output_tokens). Excludes caching, grounding,\n    taxes, consumer subscriptions, and third-party pricing.\n    &quot;&quot;&quot;\n    _validate_tokens(input_tokens, &quot;input_tokens&quot;)\n    _validate_tokens(output_tokens, &quot;output_tokens&quot;)\n    usage_date = _parse_date(when)\n\n    if not isinstance(tier, str) or tier not in _RATES_INITIAL:\n        raise ValueError(f&quot;Unknown tier: {tier!r}&quot;)\n\n    rates = _RATES_INITIAL if usage_date &lt; _PRICE_CHANGE_DATE else _RATES_DEC_2026\n    in_rate, out_rate = rates[tier]\n\n    return (Decimal(input_tokens) * in_rate + Decimal(output_tokens) * out_rate) \/ _MILLION<\/textarea><div style=\"display:flex;align-items:center;gap:12px;flex-wrap:wrap;margin-top:12px\"><button type=\"button\" onclick=\"(async function(b){const c=b.closest('[data-copy-card]'),t=c.querySelector('[data-copy-text]'),s=c.querySelector('[role=status]'),text=t.tagName==='TEXTAREA'?t.value:t.innerText;try{if(!navigator.clipboard||!navigator.clipboard.writeText)throw Error('unavailable');await Promise.race([navigator.clipboard.writeText(text),new Promise((_,r)=&gt;setTimeout(()=&gt;r(Error('timeout')),900))]);s.textContent='Copied.';}catch(e){t.focus();if(t.tagName==='TEXTAREA'){t.select();t.setSelectionRange(0,t.value.length);}else{const r=document.createRange();r.selectNodeContents(t);const selection=window.getSelection();selection.removeAllRanges();selection.addRange(r);}s.textContent='Selected. Press Ctrl\/Cmd+C.';}})(this)\" style=\"border:0;border-radius:9px;background:#624198;color:white;padding:11px 18px;font:700 14px system-ui;cursor:pointer\">\u51fa\u529b\u3092\u30b3\u30d4\u30fc<\/button><span role=\"status\" style=\"font:14px\/1.5 system-ui;color:#514266\">Ready to copy the complete text.<\/span><\/div><p style=\"margin:10px 0 0;font:13px\/1.6 system-ui;color:#514266\">Complete original output; scroll to read all lines or use Copy.<\/p><\/section>\n\n\n\n<p class=\"wp-block-paragraph\">The function is an estimate helper for the supplied rate table. It does not retrieve your API usage, count tokens, audit debits, or price long-decode continuation hops on its own. Update its rates when Google&#8217;s published prices change.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For a more demanding coding decision, evaluate repository changes and regression behavior on your own workload. Our <a href=\"https:\/\/www.glbgpt.com\/hub\/best-ai-model-for-coding\/\">coding-model selection guide<\/a> discusses those task dimensions; passing this small helper exercise does not establish that Argon is the best model for an entire codebase.<\/p>\n\n\n\n<h2 id=\"which-gemini-4-argon-route-should-you-choose\" class=\"wp-block-heading\">Which Gemini 4 Argon route should you choose?<\/h2>\n\n\n\n<section style=\"box-sizing:border-box;margin:24px 0;padding:24px;border:1px solid #ddd5ef;border-radius:18px;background:#f7f4ff;color:#24203b;font:16px\/1.6 system-ui,sans-serif;overflow-wrap:anywhere;background:#f1faf5\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">\u5b8c\u4e86\u3055\u305b\u308b\u5fc5\u8981\u304c\u3042\u308b\u4ed5\u4e8b\u306b\u5fdc\u3058\u3066\u9078\u629e\u3057\u3066\u304f\u3060\u3055\u3044<\/div><div style=\"display:grid;gap:12px\"><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">You want Argon alongside other AI tools in one account<\/div>Start from the GlobalGPT Gemini 4 Argon model page.<\/div><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">You already have Pro and need chat or PDF analysis<\/div>Use the Gemini app; confirm Argon in the model picker.<\/div><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">Your backend needs repeatable calls<\/div>Use a paid Gemini API project and inspect actual token usage.<\/div><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">You want developer-product access through a subscription<\/div>Review the documented Ultra route for AI Studio and Antigravity.<\/div><div style=\"min-width:0;padding:18px;border:1px solid #e1d9ee;border-radius:12px;background:#fff\"><div style=\"font:700 12px\/1.4 system-ui,sans-serif;letter-spacing:.09em;text-transform:uppercase;color:#655389;margin:0 0 10px;\">You can process jobs later<\/div>Evaluate Batch for its lower token rate and asynchronous workflow.<\/div><\/div><\/section>\n\n\n\n<p class=\"wp-block-paragraph\">Start in the Gemini app if you already hold Pro and want answers, document analysis, or structured writing. Start with a funded API project if you need repeatable calls from software. Consider Ultra when you need its verified developer-product access or higher app allowances. Use Batch when delayed processing fits the job and the lower token rate is useful.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The important buying decision is whether you need a consumer workflow, a developer workflow, or both. Once that is clear, evaluate a representative task and inspect its real usage. That gives you a stronger reason to pay than a context-window headline or a launch-day testimonial.<\/p>\n\n\n\n<h2 id=\"faq\" class=\"wp-block-heading\">\u3088\u304f\u3042\u308b\u8cea\u554f<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Can I use Gemini 4 Argon on GlobalGPT?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Yes. The dedicated <a href=\"https:\/\/www.glbgpt.com\/home\/gemini-4-argon?inviter=hub_content_gemini4argon&amp;login=1\">Gemini 4 Argon page on GlobalGPT<\/a> is live. Sign in to your GlobalGPT account and choose Argon for a chat. GlobalGPT account access and billing are separate from Google&#8217;s subscriptions and API pricing.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Is Gemini 4 Argon available now?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Yes. Google announced Gemini app and developer access on October 13, 2026, and lists <code>gemini-4-argon<\/code> as stable. Eligibility differs by product, account, region, and billing setup.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Does Google AI Pro include Gemini 4 Argon?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Yes, for eligible Gemini app access. Pro does not unlock Argon in the Gemini Developer API or AI Studio. Google&#8217;s developer launch identifies paid API access and an Ultra route for AI Studio and Antigravity.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">How much does Gemini 4 Argon cost in the Gemini app?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Google One&#8217;s USD page listed Pro at $19.99\/month, Ultra 5x at $99.99\/month, and Ultra 20x at $199.99\/month on October 14, 2026. Pro and Ultra include Argon app access; local checkout terms can differ.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">What is the Gemini 4 Argon API price?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Standard is $2 per million input and $10 per million output tokens through November 30, 2026, then $4 and $20 from December 1. Output includes thinking. Batch, Flex, caching, and grounding have separate rates.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Can I use Gemini 4 Argon for free?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Argon is not included in the Free Gemini API tier. Pro and Ultra app access use subscription entitlements. Any account-specific offer is a separate route and does not establish unrestricted free API use for everyone.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">What is the exact Gemini 4 Argon model ID?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The official stable model ID is <code>gemini-4-argon<\/code>. Select that model in the supported developer product or use it in your API request, with an eligible project and access route.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Can Gemini 4 Argon generate one million output tokens?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Long decode can exceed 65,536 tokens, but input, thinking, and output share 1,048,576 tokens. On Interactions, enable background execution and raise the output cap; the default synchronous limit remains 65,536.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Can Gemini 4 Argon generate images or audio?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Its endpoint accepts text, images, video, audio, and PDF inputs and outputs text. The model reference lists image generation, audio generation, and the Live API as unsupported. Other Gemini products can use separate models for media.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Why can I see Argon but not use it in AI Studio?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">A visible model does not prove that the selected project can run it. Check developer eligibility, region and age requirements, the active project&#8217;s paid billing state, and any applicable Ultra entitlement.<\/p>\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\": \"Can I use Gemini 4 Argon on GlobalGPT?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"Yes. The dedicated Gemini 4 Argon page on GlobalGPT is live. Sign in to your GlobalGPT account and choose Argon for a chat. GlobalGPT account access and billing are separate from Google's subscriptions and API pricing.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Is Gemini 4 Argon available now?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"Yes. 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Google's developer launch identifies paid API access and an Ultra route for AI Studio and Antigravity.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"How much does Gemini 4 Argon cost in the Gemini app?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"Google One's USD page listed Pro at $19.99\\\/month, Ultra 5x at $99.99\\\/month, and Ultra 20x at $199.99\\\/month on October 14, 2026. Pro and Ultra include Argon app access; local checkout terms can differ.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"What is the Gemini 4 Argon API price?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"Standard is $2 per million input and $10 per million output tokens through November 30, 2026, then $4 and $20 from December 1. Output includes thinking. 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Select that model in the supported developer product or use it in your API request, with an eligible project and access route.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Can Gemini 4 Argon generate one million output tokens?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"Long decode can exceed 65,536 tokens, but input, thinking, and output share 1,048,576 tokens. On Interactions, enable background execution and raise the output cap; the default synchronous limit remains 65,536.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Can Gemini 4 Argon generate images or audio?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"Its endpoint accepts text, images, video, audio, and PDF inputs and outputs text. The model reference lists image generation, audio generation, and the Live API as unsupported. Other Gemini products can use separate models for media.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Why can I see Argon but not use it in AI Studio?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"A visible model does not prove that the selected project can run it. Check developer eligibility, region and age requirements, the active project's paid billing state, and any applicable Ultra entitlement.\"\n            }\n        }\n    ]\n}<\/script>","protected":false},"excerpt":{"rendered":"<p>Gemini 4 Argon is available in the Gemini app for Google AI Pro and Ultra subscribers, and through the paid Gemini Developer API. The cheapest verified subscription route for app access is Google AI Pro at $19.99 USD per month on the Google One page checked October 14, 2026. Standard API pricing is $2 per million input tokens and $10 per million output tokens through November 30, 2026, rising to $4 and $20 on December 1. The catch is the route. A Pro subscription can unlock Argon in the Gemini app without unlocking Argon in AI Studio or your API project. Google&#8217;s Gemini app announcement confirms Pro and Ultra app [&hellip;]<\/p>","protected":false},"author":16,"featured_media":20679,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_seopress_robots_primary_cat":"","_seopress_titles_title":"How to Use Gemini 4 Argon: Access, Pricing, and Availability","_seopress_titles_desc":"Learn how to use Gemini 4 Argon on GlobalGPT, in the Gemini app, and through the API. Compare access, USD prices, limits, and practical tests.","_seopress_robots_index":"","footnotes":""},"categories":[7],"tags":[],"class_list":["post-20676","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-chat"],"acf":[],"_links":{"self":[{"href":"https:\/\/wp.glbgpt.com\/jp\/wp-json\/wp\/v2\/posts\/20676","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.glbgpt.com\/jp\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wp.glbgpt.com\/jp\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/jp\/wp-json\/wp\/v2\/users\/16"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/jp\/wp-json\/wp\/v2\/comments?post=20676"}],"version-history":[{"count":6,"href":"https:\/\/wp.glbgpt.com\/jp\/wp-json\/wp\/v2\/posts\/20676\/revisions"}],"predecessor-version":[{"id":20683,"href":"https:\/\/wp.glbgpt.com\/jp\/wp-json\/wp\/v2\/posts\/20676\/revisions\/20683"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/jp\/wp-json\/wp\/v2\/media\/20679"}],"wp:attachment":[{"href":"https:\/\/wp.glbgpt.com\/jp\/wp-json\/wp\/v2\/media?parent=20676"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.glbgpt.com\/jp\/wp-json\/wp\/v2\/categories?post=20676"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.glbgpt.com\/jp\/wp-json\/wp\/v2\/tags?post=20676"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}