# Gemini 4 Argon

Gemini 4 Argon is rolling out to a broader set of cyber defenders after a limited Fairwind window, and it solved all twelve end-to-end simulated cyberattack scenarios, up from five in the previous generation.

Gemini 4 Argon is rolling out to a broader set of cyber defenders after a limited Fairwind window, and it solved all twelve end-to-end simulated cyberattack scenarios, up from five in the previous generation.

Google released Gemini 4 Argon, a frontier model it says outperforms other frontier models on benchmarks across domains including coding, finance, legal, cybersecurity and science. The model emphasizes spatial reasoning, mathematical precision and visual coding, and community builders have used it to render a 3D seaplane simulation, an interactive 3D globe combining NASA wildfire feeds with U.S. Geological Survey seismic data, a turbofan engine simulation, an interactive 3D carriage built from a single image, and a multiplayer capture-the-flag browser game. It is available to developers and enterprises through the API in AI Studio and the Gemini platform, and to Google AI Ultra and Pro subscribers in Google Antigravity, the Gemini app and AI Mode in Search.

Google released Gemini 4 Argon, a frontier model it says outperforms other frontier models on benchmarks across domains including coding, finance, legal, cybersecurity and science. The model emphasizes spatial reasoning, mathematical precision and visual coding, and community builders have used it to render a 3D seaplane simulation, an interactive 3D globe combining NASA wildfire feeds with U.S. Geological Survey seismic data, a turbofan engine simulation, an interactive 3D carriage built from a single image, and a multiplayer capture-the-flag browser game. It is available to developers and enterprises through the API in AI Studio and the Gemini platform, and to Google AI Ultra and Pro subscribers in Google Antigravity, the Gemini app and AI Mode in Search.

Google released Gemini 4 Argon, positioned as its most intelligent model for long-horizon, multi-step professional work built around reasoning, coding and tool coordination. In the official examples it wrote 5,000 lines of math from scratch, with zero assets or libraries, to render a 3D sunlit library, and in Antigravity orchestrated subagents and external tools to turn more than 80,000 raw NASA files from Mars missions into an executive-ready deck. The model is now available to developers and enterprises through the API in AI Studio and the Gemini platform.

Google released Gemini 4 Argon, positioned as its most intelligent model for long-horizon, multi-step professional work built around reasoning, coding and tool coordination. In the official examples it wrote 5,000 lines of math from scratch, with zero assets or libraries, to render a 3D sunlit library, and in Antigravity orchestrated subagents and external tools to turn more than 80,000 raw NASA files from Mars missions into an executive-ready deck. The model is now available to developers and enterprises through the API in AI Studio and the Gemini platform.

Google has opened Gemini 4 Argon, a frontier model for complex workflows, to developers, covering real-world software engineering, enterprise knowledge work, and cybersecurity defense. It is designed for long-horizon tasks that need deep reasoning and structural precision, such as code migrations and frontier research, and handles multi-step problems. Developers can start building through the paid tier of the Gemini API in Google AI Studio and Android Studio, while Google AI Ultra subscribers can try it in AI Studio and the agent-first development platform Google Antigravity.

Google has opened Gemini 4 Argon, a frontier model for complex workflows, to developers, covering real-world software engineering, enterprise knowledge work, and cybersecurity defense. It is designed for long-horizon tasks that need deep reasoning and structural precision, such as code migrations and frontier research, and handles multi-step problems. Developers can start building through the paid tier of the Gemini API in Google AI Studio and Android Studio, while Google AI Ultra subscribers can try it in AI Studio and the agent-first development platform Google Antigravity.

Google Cloud has opened its new frontier model, Gemini 4 Argon, to enterprise users, positioned to take over multi-step work that used to consume hours or days and return finished, usable output. It is trained to read long documents mixing text, tables, charts and images, consolidate findings from many sources, keep going until a long task is done, and pause for confirmation before irreversible steps. Google's comparisons include an overnight autonomous run on its open-source Agent Development Kit that cut in-memory session prep time by 40% and cold imports by 21%, and a Chrome team refactor across hundreds of files in Chromium's 40-million-line codebase finished in weeks instead of months.

Google Cloud has opened its new frontier model, Gemini 4 Argon, to enterprise users, positioned to take over multi-step work that used to consume hours or days and return finished, usable output. It is trained to read long documents mixing text, tables, charts and images, consolidate findings from many sources, keep going until a long task is done, and pause for confirmation before irreversible steps. Google's comparisons include an overnight autonomous run on its open-source Agent Development Kit that cut in-memory session prep time by 40% and cold imports by 21%, and a Chrome team refactor across hundreds of files in Chromium's 40-million-line codebase finished in weeks instead of months.

Gemini 4 Argon puts physical understanding, code generation and visual-semantic reasoning into one model so robot tasks can be practiced in simulation first. On the Embodied Reasoning (ERQA) benchmark, which tests physical and spatial problems in 3D environments, it scores 87% using pure reasoning, above other frontier models. It can also reconstruct calibrated simulation twins from robot camera feeds, egocentric human video or hand-drawn sketches, and generate closed-loop control and training data from them.

Gemini 4 Argon puts physical understanding, code generation and visual-semantic reasoning into one model so robot tasks can be practiced in simulation first. On the Embodied Reasoning (ERQA) benchmark, which tests physical and spatial problems in 3D environments, it scores 87% using pure reasoning, above other frontier models. It can also reconstruct calibrated simulation twins from robot camera feeds, egocentric human video or hand-drawn sketches, and generate closed-loop control and training data from them.

Google released Gemini 4 Argon for developers and enterprises, and in Chrome's roughly 40-million-line codebase it helped complete an architectural refactor across hundreds of files, compressing months of work into weeks.

Google released Gemini 4 Argon for developers and enterprises, and in Chrome's roughly 40-million-line codebase it helped complete an architectural refactor across hundreds of files, compressing months of work into weeks.

Gemini 4 Argon is now in the Gemini app, bringing frontier reasoning and improved performance on complex tasks, with answers that are more direct, repeat less and skip clichés, plus more frequent progress updates on longer tasks. The app also puts Google Antigravity's agentic coding interface directly into the Gemini macOS app and adds a chat-to-tasks toggle in the main chat window; in tasks mode Gemini can keep working across Google apps while the user is away from the computer. Gemini now connects to more than 40 apps, and Google AI Pro and Ultra subscribers can use these updates starting today.

Gemini 4 Argon is now in the Gemini app, bringing frontier reasoning and improved performance on complex tasks, with answers that are more direct, repeat less and skip clichés, plus more frequent progress updates on longer tasks. The app also puts Google Antigravity's agentic coding interface directly into the Gemini macOS app and adds a chat-to-tasks toggle in the main chat window; in tasks mode Gemini can keep working across Google apps while the user is away from the computer. Gemini now connects to more than 40 apps, and Google AI Pro and Ultra subscribers can use these updates starting today.