Google's Gemini 4 Argon targets the hardest problems first

A new model for deep work

Google DeepMind has launched Gemini 4 Argon, a new artificial intelligence model built for complex, real-world tasks. It is now available to developers, enterprises, scientists, and consumers through Google's platforms. The model carries an industry-leading limit of one million tokens, which means it can handle very long conversations and large documents in a single session ¹.

The model aims to help with hard problems in software engineering, finance, legal work, cybersecurity, and science. Google says it ranks number one on the Vals Index, an independent ranking that measures how well AI models perform in critical economic sectors ¹.

Speeding up code and science

Inside Google, thousands of workers are already using Argon through a tool called Antigravity. One team working on the Chrome browser used the model to untangle a sixty-million-line folder of old code inside Chromium's forty-million-line base ¹. By piping multiple clean code changes at a time, Argon helped finish an architectural refactor across hundreds of files in weeks instead of months .

The results will let webpages move smoothly between tabs, side panels, and floating windows without reloading, which should eliminate a whole category of browser crashes ¹.

Another team behind Google's open-source Agent Development Kit gave Argon a rulebook and a one-paragraph goal. Working overnight on its own, the model found ways to cut preparation time by forty percent and speed up cold starts by twenty-one percent ¹.

Breaking ground in science

Argon is also helping researchers in quantum computing, nuclear fusion, and life sciences. Scientists used it to optimize xTB, an open-source package for quantum chemistry, making it up to two-point-three times faster at predicting molecular structures ¹. The changes were submitted to the official repository on GitHub .

Google also used Argon to make its open Gemma models nearly three times as fast on a specific type of processor, cutting a process that would normally take months down to just a few days ¹.

How to get started

Argon is available through Google's API in AI Studio and the Gemini platform, as well as through Google Antigravity for Ultra subscribers and the Gemini app with AI Mode in Search ¹. The price is two dollars per million input tokens and ten dollars per million output tokens at launch, with a ninety-five percent discount on cached input tokens .

Key facts

• Gemini 4 Argon has a one-million-token limit for deep, multi-step problem solving
• Chrome team finished months of refactoring work in weeks using Argon
• Argon made an open-source quantum chemistry tool up to 2.3x faster
• Introductory pricing is $2 per million input tokens and $10 per million output tokens

Sources

1. Gemini 4 Argon: Built to solve your hardest problems
2. Introducing Gemini 4 Argon - The Keyword

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