{"slug": "googles-gemini-4-argon-processes-nearly-25-trillion-tokens-in-its-first-72-hours", "title": "Google’s Gemini 4 Argon processes nearly 25 trillion tokens in its first 72 hours", "summary": "Google's Gemini 4 Argon processed nearly 25 trillion tokens in its first 72 hours of general availability on October 13, 2026, roughly three times the volume Gemini 3 handled over the same stretch, according to Google. The model supports a 1 million token input-output limit versus Gemini 3's 64K, and Google CEO Sundar Pichai has acknowledged capacity constraints, with Google expecting demand to outpace supply. Developers pay an introductory API rate of $2 per million input tokens and $10 per million output tokens, which doubles after November 30, 2026.", "body_md": "Google / Wikimedia Commons (Public domain)\n\n# Google’s Gemini 4 Argon processes nearly 25 trillion tokens in its first 72 hours\n\nThe new model's opening weekend tripled Gemini 3's token volume, and Google says demand may outrun its supply\n\n[Google](https://cryptobriefing.com/markets/alphabet/)’s newest AI model had a busy first weekend. Gemini 4 Argon processed nearly 25 trillion tokens in its first 72 hours of general availability.\n\nThat is roughly three times what Gemini 3 handled over the same stretch.\n\nIt also raises a less glamorous question. Google may not have enough computing capacity to keep up with the people who want to use Argon.\n\n## What Argon actually did in its first three days\n\nStart with tokens, since the whole milestone hinges on them. A token is a small chunk of text, often a word or a fragment of one, that a model reads or writes.\n\nEvery prompt a developer sends and every answer the model returns gets counted in tokens.\n\nThe rollout came in two stages. Google first announced Argon on September 30, 2026, with an initial limited launch aimed at trusted cybersecurity partners.\n\nGeneral availability followed on October 13, 2026. The 72-hour token count is measured from that wider release.\n\n## The specs behind the surge\n\nThe headline feature is the context window. Argon supports a 1 million token input-output limit, a big jump from the 64K limit of Gemini 3.\n\n### AI, tech, and the markets they move—in one daily briefing.\n\nDaily. Free. Join 34,000+ readers across crypto, finance, and policy.\n\nGoogle is pitching Argon for sustained, multi-step work. The model is built for long-horizon tasks where it reasons through a problem over many steps with less hand-holding.\n\nTarget use cases include coding, general knowledge work and finance.\n\nGoogle also pointed to internal results. The model reportedly lifted coding task submissions by over 35% while reducing rollbacks, meaning fewer changes had to be undone after the fact.\n\n## Pricing, with a deadline attached\n\nDevelopers accessing Argon through the API currently pay an introductory rate. That works out to $2 per million input tokens and $10 per million output tokens.\n\nThe discount has an expiration date. After November 30, 2026, those rates will double.\n\nThe gap between input and output pricing matters too. Output tokens cost five times as much as input tokens under the introductory scheme.\n\n## Demand versus supply\n\nGoogle CEO Sundar Pichai has acknowledged ongoing capacity constraints amid strong demand for the new model.\n\nGoogle also expects demand to outpace supply as Argon gains traction.\n\n## What this means for Google and its customers\n\nFor enterprises, Argon’s 1 million token window opens up workflows that simply did not fit inside Gemini 3’s 64K limit. Teams working with large codebases, lengthy financial filings or sprawling internal documents may be able to hand the model the full picture rather than slicing it into pieces.\n\nThe phased rollout, starting with cybersecurity partners, also reflects a broader pattern of releasing powerful tools in stages rather than all at once.\n\n**Disclosure:** This article was edited by Diego Almada Lopez. For more information on how we create and review content, see our\n\n[Editorial Policy](https://cryptobriefing.com/editorial-policy/).", "url": "https://wpnews.pro/news/googles-gemini-4-argon-processes-nearly-25-trillion-tokens-in-its-first-72-hours", "canonical_source": "https://cryptobriefing.com/google-gemini-4-argon-25-trillion-tokens/", "published_at": "2026-10-21 09:17:38+00:00", "updated_at": "2026-10-21 09:41:20.566992+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "generative-ai", "ai-infrastructure", "ai-products"], "entities": ["Google", "Gemini 4 Argon", "Gemini 3", "Sundar Pichai"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/googles-gemini-4-argon-processes-nearly-25-trillion-tokens-in-its-first-72-hours", "markdown": "https://wpnews.pro/news/googles-gemini-4-argon-processes-nearly-25-trillion-tokens-in-its-first-72-hours.md", "text": "https://wpnews.pro/news/googles-gemini-4-argon-processes-nearly-25-trillion-tokens-in-its-first-72-hours.txt", "jsonld": "https://wpnews.pro/news/googles-gemini-4-argon-processes-nearly-25-trillion-tokens-in-its-first-72-hours.jsonld"}}