---
title: "1 Million Token Record: Google Unveils New Gemini 4 Argon Supermodel"
description: "Google announced its flagship Gemini 4 Argon model featuring a record 1 million output token limit, advanced cybersecurity, and code optimization features."
date: 2026-10-01T07:20:00.000Z
lang: en
url: https://xab.info/en/posts/1-million-token-record-google-gemini-4-argon
tags: [google, gemini-4-argon, artificial-intelligence, deepmind, tech-news]
publisher: "XAB.info"
---

# 1 Million Token Record: Google Unveils New Gemini 4 Argon Supermodel

![Interface and logo of Google's new Gemini 4 Argon supermodel](https://xab.info/media/2026/10/01/rekord-1-mln-tokenov-google-gemini-4-argon/rekord-1-mln-tokenov-google-gemini-4-argon-1.webp)

## 🎯 Key Points

- Output token limit increased to a record 1 million tokens.
- Top rankings in DeepSWE v1.1 and AutomationBench benchmarks.
- Successfully applied to migrate code to Rust and optimize data centers.

Google has officially introduced its flagship next-generation language model, Gemini 4 Argon. The announcement, made by Koray Kavukcuoglu, Senior Vice President of Google DeepMind and Chief AI Architect at Google, marks a qualitative leap in processing complex long-running processes, large-scale code refactoring, and analyzing massive data arrays.

### Technological Breakthrough and Output Tokens

The primary technical feature of Gemini 4 Argon is an unprecedented increase in the output token limit to a record 1 million tokens, compared to 64 thousand in previous versions. This volume allows the model to conduct deep distributed computations and execute large-scale tasks within a single prompt. Thanks to its multimodal capabilities, Argon has topped key industry benchmarks, including DeepSWE v1.1 with 77.9% in real code engineering and AutomationBench.

### Practical Application in Google's Ecosystem

The model has already been integrated into the tech giant's internal infrastructure, showing impressive efficiency. Engineers utilized Argon to optimize quantum algorithms, improving resource utilization baselines by 40% in minutes. Autonomous AI agents also identified and resolved memory leaks in data centers, freeing over 300 TiB of space. Furthermore, in the libgav1 library, Argon rewrote 32,000 lines of SIMD code, accelerating the video decoder by 2.7x.

### Cybersecurity and Safety Precautions

Developers placed special emphasis on defensive capabilities. Gemini 4 Argon can autonomously discover and remediate critical software vulnerabilities, as validated during Wiz's Scan for Good initiative. To prevent abuse in creating biological/chemical weapons or conducting cyberattacks, Google implemented a multi-layered containment system under the Frontier Safety Framework, protecting against prompt injections in secure sandboxes.

## 🔍 Fact-Check Verification

- [Рекорд в 1 млн токенов: Google представила новую супермодель Gemini 4 Argon](https://www.rbc.ua/ukr/news/rekord-1-mln-tokeniv-google-predstavila-novu-1790838937.html) - Основной источник анонса модели и ее технических характеристик.
- [Google отстранила главу DeepMind за чрезмерное увлечение наукой в ущерб зарабатыванию денег на Gemini](https://3dnews.ru/1146751/google-otstranila-glavu-deepmind-za-chrezmernoe-uvlechenie-naukoy-v-ushcherb-zarabativaniyu-deneg-na-gemini/) - Контекстный материал об изменениях в руководстве DeepMind.
- [Google отправила нового главу DeepMind догонять OpenAI и Anthropic](https://3dnews.ru/1146695/google-otpravila-novogo-glavu-deepmind-dogonyat-openai-i-anthropic) - Контекстный материал об изменениях в руководстве DeepMind.
- [Google меняет DeepMind: почему Хассабис ушел из операционного управления, а Gemini передали инженеру](https://vc.ru/ai/3082505-perexod-k-novoy-strukture-upravleniya-v-google-deepmind) - Детали кадровых перестановок в подразделении.

## ❓ FAQ

### Q: What is the main technical breakthrough of Gemini 4 Argon?
**A:** The main breakthrough is increasing the output token limit to 1 million tokens.

### Q: Where is the new model already being utilized?
**A:** It is used within Google's infrastructure for quantum algorithm optimization and code migration.