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Gemini 4 Argon debuts with 1M-token output for trusted testers

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x.com
Date
Google DeepMind@GoogleDeepMind

Introducing Gemini 4 Argon – our new frontier model. It’s built for complex workflows across coding, enterprise knowledge work, and cybersecurity defense – rolling out today to a set of trusted testers through our Fairwind Program.

Context

Google DeepMind introduced Gemini 4 Argon on September 30 as its new frontier model, the term labs use for their most capable systems, and said it was built for complex workflows in coding, enterprise knowledge work and cybersecurity defense. On launch day it was not open to everyone. The announcement says it was rolling out to a set of trusted testers through Google's Fairwind Program, which Google described when it launched the program earlier in September as limited access for governments and trusted partners to its most advanced cyber defense capabilities.

The post itself gives no results, prices or technical limits. In particular, the one-million- output figure in this item's headline does not appear in the collected text of the post. The post carried one image, which was not available as text for this explanation, so that figure is unverified here. Broader access came two weeks later, when Google's developer announcement opened the model to developers.

Terms in this piece · Glossary
  • benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
  • token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
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