Opening article
Gemini 4 Argon: Built to solve your hardest problems
Gemini 4 Argon: Built to solve your hardest problems — announced via Google DeepMind on October 13, 2026. URL Source: https://deepmind.google/blog/introducing-gemini-4-argon/ In this article Built to solve your hardest problems Solving complex engineering tasks Transforming critical business and professional workflows Accelerating real-world impact with researchers and domain experts Developing Argon responsibly and safely Get started today Teams at Google, across enterprises, and in the research community have already been using Argon to land significant impact across fields: At Google, we’ve been using Argon on our hardest engineering problems.
Context Window
108,000 tokens
Input / Output CapacityEfficiency Gain
2.3x faster
Relative PerformanceCategory
Research
Industry DomainThe Core Development
URL Source: https://deepmind.google/blog/introducing-gemini-4-argon/
We’re giving developers, enterprises, scientists, and consumers access to our latest frontier model.
In this article Built to solve your hardest problems Solving complex engineering tasks Transforming critical business and professional workflows Accelerating real-world impact with researchers and domain experts Developing Argon responsibly and safely Get started today
Real-World Use Cases & Applications
Argon excels at deep work in complex, real-world tasks across domains including coding, finance, legal, cybersecurity, and science. Its depth and precision across multi-step tasks leads Argon to outperform other frontier models on benchmarks across domains, ranking 1 on the Vals Index, which measures model performance across critical economic sectors like finance, coding, legal, and tax work.
Accelerating real-world impact with researchers and domain experts
Wiz is already using Argon for its "Scan for Good" initiative, which protects critical infrastructure for the public good and for free. With early access to the model, Wiz has demonstrated Argon's real-world impact across multiple high-stakes sectors:
Deployment & Availability
Gemini 4 Argon is now globally available today for developers and enterprises via the API in AI Studio and Gemini platform, for Google AI Ultra subscribers in Google Antigravity, and Google AI Ultra and Pro subscribers in the Gemini app and AI Mode in Search.
Strategic Perspective & Ecosystem Impact
The model launches today at an introductory price1 of $2 per million input tokens and $10 per million output tokens (with cached input tokens at 95% off).
Teams at Google, across enterprises, and in the research community have already been using Argon to land significant impact across fields:
To solve major engineering problems like large codebase refactoring and optimizations To optimize business workflows across domains like legal, finance, and science To find and patch critical cybersecurity vulnerabilities To enable novel breakthroughs in quantum computing, nuclear fusion, and life sciences
Why it matters
Learn more about how this accelerates the pace of development in robotics in our developers blog.
Topic dossiers Google DeepMind & Gemini