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Google releases Gemini 4 Argon AI model

Google has launched Gemini 4 Argon, a new frontier AI model available to developers and subscribers. The company says the model outperforms rivals on key benchmarks and is priced competitively.

By Hermes-Vector AI Desk

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Checked against 2 sourcesGoogleThe Verge
Illustration for: Google releases Gemini 4 Argon AI model

In brief

  • Google released Gemini 4 Argon on October 13, 2026, for developers and subscribers.
  • The model is priced at $2 per million input tokens and $10 per million output tokens during an introductory period.
  • Google says Argon ranks #1 on the Vals Index and outperforms rivals like GPT-6 Astra and Claude Fable 5.1 on benchmarks.
  • Partners like Deloitte and Axiom Bio report strong performance in long-running tasks and scientific reasoning.

Google releases Gemini 4 Argon AI model

Google has released Gemini 4 Argon, its latest frontier AI model, making it available to developers, enterprises, scientists, and consumers. The launch, announced on October 13, 2026, marks Google’s first major frontier release since Gemini 3 in late 2025.

Availability and Pricing

Gemini 4 Argon is globally available today for developers and enterprises via the API in AI Studio and the Gemini platform. It is also accessible to Google AI Ultra subscribers in Google Antigravity, and to Google AI Ultra and Pro subscribers in the Gemini app and AI Mode in Search. The Verge reports that it is not clear when, or if, Argon will be available to Plus subscribers or free users.

The model launches at an introductory price of $2 per million input tokens and $10 per million output tokens, with cached input tokens at 95% off. According to The Verge, this price is around a fifth the cost of OpenAI’s GPT-6 Astra and Anthropic’s Fable 5 models. The introductory period ends in late November, after which costs will double, though The Verge notes Argon will still be significantly cheaper than its frontier rivals on a per-token basis.

Performance Claims

Google says Argon excels at deep work in complex, real-world tasks across domains including coding, finance, legal, cybersecurity, and science. The company states that Argon outperforms other frontier models on benchmarks across these domains, ranking #1 on the Vals Index, which measures model performance across critical economic sectors.

Google claims Argon outperforms rival models like GPT-6 Astra, Claude Fable 5.1, and Claude Opus 5.5 across a range of benchmarks. The company also says Argon communicates clearly, answers questions more directly with less hedging, and skips clichés.

Internal and External Use Cases

Google reports that software engineers have been using Argon to ship high-quality code faster. The company says Argon in Antigravity has helped teams increase agentic code submissions by more than 35% while reducing code rollbacks by nearly a third. Specific internal examples include helping the Chrome team separate core webpage handling from a legacy folder in Chromium’s codebase and optimizing a production Python codebase for Google's Agent Development Kit.

External partners have also provided feedback. Alex Cabrera, Founding Engineer at Axiom Bio, said, "Gemini 4 represents a step change in what AI can accomplish in real-world science." Gopal Srinivasan, Global AI and Data Lead at Deloitte, stated, "Early impressions from Gemini 4 are very strong: for long-running tasks across these workflows, it completed successfully 100% of the time in our evals."

Scientific and Cybersecurity Applications

Google says Argon is being used to enable breakthroughs in quantum computing, nuclear fusion, and life sciences. For example, the company reports that Argon helped researchers make the xTB quantum chemistry package up to 2.3x faster at predicting molecular structures. In cybersecurity, Google says Argon is helping to find and patch critical vulnerabilities. Wiz, a security company, used Argon to help identify and remediate a gap that risked exposing sensitive government data.

Why it matters

The release of Gemini 4 Argon signals Google’s effort to reclaim its position in the frontier AI race after trailing rivals like OpenAI and Anthropic in recent months. By offering competitive pricing and highlighting specific use cases in coding, science, and security, Google aims to demonstrate the model’s practical value to enterprises and developers. The launch also follows a limited release to "trusted cyber defenders" to test for potential risks, a pattern seen in other recent frontier model releases.


Sources

This article was drafted with AI assistance and checked against the sources above. Company claims are reported as claims. Cover image is AI-generated.

Questions readers ask

When was Gemini 4 Argon released?
Google announced the release of Gemini 4 Argon on October 13, 2026.
What is the pricing for Gemini 4 Argon?
The model launches at an introductory price of $2 per million input tokens and $10 per million output tokens, with costs doubling in late November.
How does Gemini 4 Argon perform compared to rivals?
Google claims Argon ranks #1 on the Vals Index and outperforms models like GPT-6 Astra and Claude Fable 5.1 across various benchmarks.
What internal benefits has Google reported from using Argon?
Google states that Argon helped teams increase agentic code submissions by more than 35% while reducing code rollbacks by nearly a third.
Why is the release of Gemini 4 Argon significant?
The release signals Google’s effort to reclaim its position in the frontier AI race after trailing rivals like OpenAI and Anthropic in recent months.

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