EDITION OF FRI 2 OCT 2026
72 · BUSINESS

Google Launches Gemini 4 Argon With Focus on Reasoning and Cybersecurity

publishers 19articles 19first reported 30 Sep, 20:11 UTCdeveloping since 1 Oct · 2 editions

Google has launched Gemini 4 Argon, a new artificial intelligence model designed for sustained reasoning across finance, software engineering, coding, creative writing and cybersecurity defense. The Wall Street Journal reported that Google is rolling out the model gradually amid safety concerns, while The Guardian reported that Google is restricting access over safety concerns.

Google said Argon can analyze charts, long-form videos and collections of documents, and can autonomously identify, validate and patch critical software vulnerabilities. The company also said it added protections against prompt injection and measures intended to prevent the model from acting without a user’s direction.

Artificial Analysis ranked Argon alongside OpenAI’s GPT-6 Astra on its composite Intelligence Index, according to Engadget. The benchmarking company also reported that Argon had a 15% hallucination rate and tied with Grok 4.7 and GPT-6 Astra for first place on the CWE-bench cybersecurity leaderboard.

Google is offering introductory pricing of $2 per million input tokens and $10 per million output tokens. Argon has an output limit of 1 million tokens, Engadget reported.

The company said it has already used Argon for quantum-computing research, codebase migrations and data-center memory optimization, where the model helped free 300 tebibytes of memory. Google also said an early demonstration uncovered a critical vulnerability in healthcare software used by hospitals worldwide. The release follows Gemini 3.5 and comes as Bloomberg reported employee skepticism about the new model and The New York Times reported its release with guardrails amid an A.I. safety debate.

HOW THIS STORY WAS MADE

Written from 8 articles, headlines and summaries only; 8 independent newsrooms once syndicated copies count as one; this version written 8 h after the record first saw the story; the editor revised it.

Publishers
19
Source articles
19
Given to the writer
8, headlines and summaries only
Independent newsrooms
8
This version written
8 h after the record first saw the story
Second model (editor)
revised
Publication gate
passed
Human review
none

Written by a language model from the sources above, then checked by a second model that may only cut, attribute or correct. How it works →

NAMED IN THE COVERAGE

OUTLETS CARRYING THE STORY, RUN BY RUN

0 9 19 2 Oct

WHAT HELD, WHAT CAME LATER

From the first reports to the latest

  • Nothing ran from the first third of the coverage to the last.

Entered the story later

  • Nothing new took hold after the first third.

Figures reported with different numbers

  • million input: $2 (2 from 30 Sep 20:11) → $10 (1 from 1 Oct 09:26)
  • million output: $10 (2 from 30 Sep 20:11) → $50 (1 from 1 Oct 09:26)

Matched by pattern, not read: a different number can be a correction, a rising count, or two different counts.

HOW THIS STORY DEVELOPED: EVERY HEADLINE, EVERY OUTLET →