Google launches Gemini 4 Argon with a 1M-token output limit

The model targets coding, enterprise work and cyber defense. Its first rollout is limited to trusted defenders, with wider access planned in phases.

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Why it matters

Suncatcher turns Google's orbital-compute thesis into a hardware test, while its own cost analysis makes the business case contingent on launch prices falling sharply and leaves satellite infrastructure costs out of the comparison.

Google puts its Suncatcher AI satellite in orbit to test TPUs in space — Launched October 1st with Planet on a SpaceX rideshare, the prototype tests hardware for a research plan whose economics depend on much cheaper launches.

Google introduced Gemini 4 Argon on September 30th, positioning it as a model for long-running coding, enterprise and cybersecurity work. Its headline technical change is a maximum output of 1 million tokens, up from 64,000 in the previous Gemini models Google cited. The company is starting with trusted cyber defenders through its Fairwind Program; its announcement says broader access will follow in phases, beginning with paid API customers and Google AI Ultra subscribers.…

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