Gemini 4 Argon: Google's new frontier model for long coding, knowledge and cyber defense work

Google has announced Gemini 4 Argon, its new frontier model. It is rolling out first to trusted cyber defenders, through Google's Fairwind Program.

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blog.google · Gemini 4 Argon · Sep 30, 2026

Gemini 4 Argon is Google's new frontier model

Rolling out to trusted cyber defenders first

Google built it to keep reasoning through long, complex work. That means real-world software engineering, enterprise knowledge work like legal and finance, and cybersecurity defense.

For builders, one response can now run to a million output tokens. The previous limit was 64,000. Google says the headroom lets it solve a hard problem in one pass.

What Google reports.

Google reports Argon sets a new state of the art on DeepSWE, a test of long, real-world software tasks. Google's own results table also shows rivals ahead on Terminal-bench and FrontierSWE.

Inside Google, Argon agents rewrote the libgav1 video decoder's Rust port. They replaced about 32,000 lines of SIMD code with safe Rust. Google says it now runs 2.7 times faster, with identical output.

Beyond code, Google reports Argon leads the Vals Index. It mixes finance, coding, legal and tax work, each weighted by its share of the U.S. economy. Google also reports first place on Zapier's business automation test.

Argon also works with images and video. Google says it can analyze charts, pick details out of long videos, and act on a set of documents. Google reports a new best score on long-video understanding.

Google trained Argon for cyber defense. It can find, validate and patch critical vulnerabilities on its own. Trusted defenders and Google's own teams get it without cyber guardrails.

The security company Wiz uses it in Scan for Good, its free program protecting public infrastructure. Google says Argon found a critical flaw in hospital software worldwide that earlier frontier models had missed.

Who gets it, and what it costs.

Right now, only approved Fairwind partners get Argon. They may give it only to internal security, incident response and penetration testing teams. On Gemini Enterprise, it supports zero data retention.

Google is widening access gradually while it tests guardrails. Paid Gemini API customers and Google AI Ultra subscribers come next. Google gives no date, only "as soon as possible".

The introductory price is 2 dollars per million input tokens and 10 dollars per million output tokens. Cached input is 95 percent off. Afterwards, it doubles to 4 and 20 dollars.

For developers today, Argon is missing from the Gemini API models page, with no model ID to call. Watch that page for it. That's Gemini 4 Argon, Google's new frontier model.