Gemini 4 Argon (AI model): news timeline & CVEs

Google announces Gemini 4 Argon AI model, but you can't use it yet

Google announced Gemini 4 Argon, a frontier model not yet public, claiming leading coding and cybersecurity scores.

Google announced Gemini 4 Argon, a frontier model it says leads in coding, knowledge work, and cybersecurity, but public access is not open yet. On DeepSWE v1.1, Argon scored 77.9 percent, above GPT-6 Astra, Fable 5.1, and Opus 5.5, and Google also cites a leading Vals Index result. Internal Argon agents reportedly freed 300 TiB of data-center memory and are migrating C and C++ to Rust, including more than 800,000 lines in the Fuchsia Zircon kernel. Output length rises to 1 million tokens from 64,000; API pricing has not been announced.

Ars Technica · AIupdated Sep 30, 23:43 UTC · 3h agofirst Sep 30, 20:11 UTC · 6h agoModel release 6 sources

Gemini 4 Argon

Google launched Gemini 4 Argon for trusted defenders, with 1M-token outputs and defensive cyber capabilities.

Google announced Gemini 4 Argon and is rolling it out to trusted cyber defenders through the Fairwind Program while participating in a voluntary U.S. pre-release review. Introductory pricing is $2 per million input tokens and $10 per million output tokens, with cached input at a 95 percent discount, and the output limit rises from 64,000 to 1 million tokens. Argon scored 77.9 percent on DeepSWE v1.1, 51.3 percent on Zapier's AutomationBench, and 91.7 percent on LVBench. Google says trusted users get the model without cyber guardrails; Wiz reported it found a critical exposure of personal data in hospital software.

Hacker News · AIupdated Sep 30, 23:43 UTC · 3h agofirst Sep 30, 20:04 UTC · 7h agoModel release 6 sources HN 120↑ · 33 comments

Gemini 4 Argon: our next era of frontier intelligence

DeepMind unveiled Gemini 4 Argon, a phased frontier model aimed at coding, knowledge work, and cyber defense.

Google DeepMind announced Gemini 4 Argon, offering early access to trusted defenders via the Fairwind Program during a phased U.S. government pre-release process. The model is priced at $2 per million input tokens and $10 per million output tokens, with a 1 million token output limit. Reported scores include 77.9 percent on DeepSWE v1.1, 51.3 percent on AutomationBench, and 91.7 percent on LVBench. Internal agents freed over 300 TiB of memory and are rewriting large C/C++ codebases in Rust, including the Fuchsia Zircon kernel.

Google DeepMindupdated Sep 30, 23:43 UTC · 3h agofirst Sep 30, 20:01 UTC · 7h agoModel release 6 sources2

Gemini 4 Argon

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Google announces Gemini 4 Argon AI model, but you can't use it yet

Gemini 4 Argon

Gemini 4 Argon: our next era of frontier intelligence