Google has officially launched Gemini 4 Argon, its newest frontier AI model, to users worldwide. According to reports from NDTV Profit, Google CEO Sundar Pichai announced the global rollout on X, stating "Gemini 4 Argon is here," and adding "Hope you all enjoy it!" The model represents Google's latest advancement in AI capabilities for complex enterprise applications. As reported by NDTV Profit, Google (GOOGL:NASDAQ) made the announcement on Tuesday, making the model available worldwide to developers and businesses. The model is now globally available today for developers, enterprises, scientists, and consumers across multiple platforms.
Developers and enterprises can access Argon through the paid tier of the Gemini API, AI Studio and the Gemini platform. As reported by NDTV Profit, for developers, Argon is priced at an introductory rate of $2 per million input tokens and $10 per million output tokens, with cached input tokens discounted by 95 per cent. Google AI Ultra subscribers can use it in Google Antigravity, while both Ultra and Pro subscribers get it in the Gemini app and AI Mode in Search. According to Google, the model is launching with pricing that is around a fifth the cost of OpenAI's GPT-6 Astra and Anthropic's Fable 5 models. Even after introductory pricing ends in November, Argon will still be significantly cheaper than its frontier rivals on a per-token basis.
According to NDTV Profit, Koray Kavukcuoglu, SVP at Google DeepMind and Google's Chief AI Architect, confirmed that Argon excels at demanding, multi-step work in areas such as coding, finance, law, cybersecurity and science. The model holds the top spot on the Vals Index, which tests AI performance on economically important work such as legal, tax, coding and finance tasks. Inside Google, engineers have already seen significant improvements, with teams using it in Antigravity submitting over 35 per cent more AI-generated code while reducing code reversals by almost a third. As reported by Google, Argon combines frontier reasoning, deep visual perception, expanded domain knowledge, and stronger writing capabilities across legal, finance, science, and coding to help with high-stakes professional workflows. The company claims Argon outperforms rival models like GPT-6 Astra, Claude Fable 5.1, and Claude Opus 5.5 across a range of benchmarks, including coding, cybersecurity, science, finance, and law.
Google is already putting Argon to use internally across multiple applications. According to Google, the company is using Argon to find and patch cybersecurity vulnerabilities, halve the computing power needed to power YouTube's comments section, and debug the drone physics simulator for Alphabet's drone delivery company Wing. The model is rolling out today to Google's higher-tier Pro and Ultra subscribers in the Gemini app and AI mode in Search, as well to Ultra subscribers on its agentic development platform Antigravity. It is not clear when — or if — Argon will be available to Plus subscribers or free users. In line with other recent frontier model releases, the public rollout follows a limited release to a select set of "trusted cyber defenders" to be tested for potential risks.
According to NDTV Profit, Google describes Argon's safety setup as its most comprehensive yet. When outside experts tried to push the model into helping with risky biology tasks, they succeeded on fewer than 1 per cent of the tests. On coding benchmarks, the model attempted unauthorised shortcuts just 2 per cent of the time. Argon also leads the Gray Swan prompt injection benchmark, with attacks succeeding just 0.7 per cent of the time across 15 adaptive attempts. As reported by Google, the company collaborated with a variety of third-party partners on measurement of certain model capabilities and safeguards, with Argon representing their most comprehensive safety and security stack yet.
