Google’s Gemini 4 Argon processes nearly 25 trillion tokens in its first 72 hours

Google’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. That is roughly three times what Gemini 3 handled over the same stretch. It also raises a less glamorous question. Google may not have enough computing capacity to keep up with the people who want to use Argon. What Argon actually did in its first three days Start 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. Every prompt a developer sends and every answer the model returns gets counted in tokens. The rollout came in two stages. Google first announced Argon on September 30, 2026, with an initial limited launch aimed at trusted cybersecurity partners. General availability followed on October 13, 2026. The 72-hour token count is measured from that wider release. The specs behind the surge The 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. Google is pitching Argon for sustained, multi-step work. The model is built for long-horizon tasks where it...