# Google launches Gemini 4 Argon model for developers and enterprises

> The new Gemini 4 Argon AI model is now available globally via API and Google apps, priced at $2 per million input tokens.

Oossa · 2026-10-13 · https://oossa.com/en/google-launches-gemini-4-argon-model-for-developers-and-enterprises

Event date: 2026-10-13

Google announced that its Gemini 4 Argon model is now globally available. Developers can use it through the Gemini API in AI Studio, while enterprise customers can access it via the Gemini platform. Google AI Ultra subscribers get Argon in the Antigravity tool and in the Gemini app or Search’s AI Mode. The model is offered at an introductory price of $2 per million input tokens and $10 per million output tokens, with cached input tokens at a 95 % discount.

## What Argon can do

Argon is designed for complex, multi‑step tasks in coding, finance, legal, cybersecurity and science. Google says it outperforms other frontier models on the Vals Index, a benchmark that measures performance across critical economic sectors. Internally, Argon helped Chrome developers refactor a 6 million‑line codebase, cutting months of work into weeks and reducing code rollbacks by about one‑third. In Python projects, it lowered in‑memory session prep time by 40 % and cold‑import time by 21 %.

## Why it matters

For developers and businesses, Argon’s deeper reasoning and higher token limit (1 million tokens) mean they can automate longer, more intricate workflows without breaking the task into smaller pieces. Researchers can access the model for free for six months if they qualify, giving them a powerful tool for scientific calculations, such as speeding up quantum‑chemistry predictions by up to 2.3 ×.

## The facts

- Gemini 4 Argon launched globally on 2026‑10‑13.
- Introductory pricing is $2 per million input tokens and $10 per million output tokens, with cached input tokens at 95 % off.
- Argon reduced Chrome code rollbacks by nearly one‑third and increased agentic code submissions by more than 35 %.
- The model ranks #1 on the Vals Index benchmark covering finance, coding, legal and tax work.
- In internal tests Argon achieved an 87 % score on the Embodied Reasoning (ERQA) benchmark, beating other frontier models.

## Why it matters

Developers can now build longer, more complex AI‑assisted applications without hitting token limits, saving time and reducing errors. Enterprises can automate high‑stakes tasks like legal document analysis or cybersecurity scanning with a model that claims stronger safety guards. Researchers gain free high‑tier access, potentially accelerating discoveries in fields such as quantum chemistry and rare‑disease diagnostics.

## Sources & references

1. [Gemini 4 Argon: Built to solve your hardest problems](https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-argon/) – Google, 2026-10-13
2. [Developing Gemini 4 Argon responsibly and safely](https://deepmind.google/blog/developing-gemini-4-argon-responsibly-and-safely/) – Google DeepMind, 2026-10-13
3. [Gemini 4 Argon is now available worldwide as Google's most capable frontier model](https://the-decoder.com/gemini-4-argon-is-now-available-worldwide-as-googles-most-capable-frontier-model/) – The Decoder, 2026-10-13

Last updated: 2026-10-13