Google is rolling out antigravity access to Gemini 4 Argon for a set of trusted cyber defenders through the Fairwind Program. The model is built for deep reasoning across long workflows. That makes the first release narrow on purpose, even as Google says it plans broader access later.
Gemini 4 Argon pricing
Google set Gemini 4 Argon’s introductory price at $2 per million input tokens and $10 per million output tokens. Cached input tokens get 95% off the input price. For teams that push large prompts or long outputs, that changes how quickly costs can climb during extended runs.
Fairwind Program access
Google DeepMind said, “Today, we’re announcing our new frontier model, Gemini 4 Argon, which is rolling out to a set of trusted cyber defenders through our Fairwind Program.” It also said, “Safely releasing frontier capabilities at this level requires a phased approach.” The company is using that approach to collect early feedback before opening access to developers, enterprises, and consumers.
1M tokens for Argon
Google is expanding the output token limit to 1M tokens from 64K tokens. That is a 15.6x jump in how much text the model can emit in one run. In practice, that gives Argon more room for long answers, larger code changes, and extended analysis without forcing users to split the work into as many chunks.
U.S. government access process
Google said it is actively engaged in the U.S. government’s voluntary process for pre-release model access while it gradually expands access. Google engineers have already been using Argon for daily tasks, including debugging, large-scale codebase migrations, and algorithm designs. The open question now is when the phased rollout reaches developers, enterprises, and consumers.
