Google has announced Gemini 4 Argon, its new flagship artificial intelligence model. This model is described as Google's "next era of frontier intelligence" and is built for "deep reasoning across complex, long-horizon workflows." It follows the cancellation of Gemini 3.5 Pro, with Google focusing on 3.8 Flash before this new release.
Gemini 4 Argon demonstrates advanced capabilities across coding, knowledge work, cybersecurity defense, and creative writing. A key feature is its 1M output token limit, a significant increase from the previous 64K, which allows for longer and more complex use cases. Google states that the model achieves a DeepSWE v1.1 score of 77.9%, surpassing Claude Opus 5.5 (74.2%) and GPT-6 Astra (74.1%). It also leads in the economic analysis Vals Index test and sets a new record in real-world software engineering, while tying for first in cybersecurity benchmarks.
The model is designed to be highly capable in cybersecurity defense, showing leaps over 3.8 Flash Cyber. It will be made available "without cyber guardrails" to trusted defenders and internal Google teams to leverage its full capabilities.
Google is implementing a phased approach for Gemini 4 Argon's release. Initial access is being granted to a set of trusted cyber defenders through the Fairwind Program and to internal Google teams. The company is actively participating in the U.S. government’s voluntary process for pre-release model access.
Following this initial phase, access will expand to paid API customers and AI Ultra subscribers. Subsequently, it will be made available to developers, enterprises, and consumers. This controlled rollout aims to gather feedback from early testers and iterate on guardrails before wider availability.
Gemini 4 Argon is already being used internally at Google. Thousands of Googlers are utilizing the model, which has powered large-scale codebase migrations, including C/C++ codebases to Rust across Google, such as in the core re2 and libgav1 libraries and over 800,000 lines in the Fuchsia OS Zircon kernel. It has also helped optimize memory in Google's data centers, freeing up hundreds of terabytes of memory without additional hardware, and has been utilized by quantum computing researchers.
The introductory pricing for Gemini 4 Argon is $2.00 per million input tokens and $10.00 per million output tokens, with cached input tokens priced at 95% off the input token price. On the Artificial Analysis Intelligence Index, Gemini 4 Argon (High) scores 53, which is above the median of 26 for comparable models in its price range. It supports text and image input and outputs text, with a 1M token context window.
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Google released its Gemini 4 Argon AI model, offering advancements in coding and cybersecurity, with pricing matching OpenAI's GPT-6.1 Sol. This release occurs as the market shifts towards personal AI agents, where competitors like Meta and OpenAI are gaining traction with their consumer-facing applications.
Google released its Gemini 4 Argon AI model to a vetted group of cybersecurity experts, withholding public access due to concerns about potential misuse by hackers. This phased approach allows Google to gather feedback and address safety issues before a wider release, mirroring strategies by other AI developers.
Google's new Gemini 4 model faces internal reports suggesting its real-world performance, particularly in coding tasks, does not consistently match its benchmark scores. Google maintains that claims of underperformance are inaccurate, citing the model's expanded capabilities and competitive positioning.
Google has released its new Gemini 4 'Argon' AI model to a limited group of "trusted cyber defenders" for testing. This release follows a period where Google's AI efforts were perceived as lagging, with its last state-of-the-art model, Gemini 3 Pro, released in November 2025.
Google released Gemini 4 Argon, an advanced AI model designed for deep reasoning and complex tasks across various domains. The model demonstrates competitive performance against other frontier models like OpenAI's GPT-6 Astra, notably offering a lower cost and reduced hallucination rate.
Google released Gemini 4 Argon, a new AI model, to select cyber defenders through its Fairwind Program, offering guardrail-free access for cybersecurity defense. The model is designed for complex workflows including autonomously finding, validating, and patching software vulnerabilities, and has demonstrated improved vulnerability discovery.
Google launched Gemini 4 Argon, an AI model for cybersecurity defense, to trusted partners via its Fairwind Program. This model demonstrates advanced capabilities in finding and patching software vulnerabilities, outperforming previous versions. Google plans to release a guardrail-free version to trusted defenders and internal teams, while also working on safeguards against misuse and prompt injections.
Google launched Gemini 4 Argon, a new AI model designed for tasks including coding, research, writing, and cybersecurity. The model is being rolled out to select cyber partners through Google's Fairwind Program and is trained for defensive cyber work, capable of autonomously finding, validating, and patching software vulnerabilities. Google states Argon outperforms OpenAI's GPT-6 Astra and Anthropic's Fable and Opus models on various AI benchmarks.
Google unveiled Gemini 4 Argon, an advanced AI model demonstrating record performance in software engineering and cybersecurity, and leading in professional tasks. The model is being rolled out in phases, starting with cybersecurity partners and pre-release safety evaluations with the U.S. government.
Google released its Gemini 4 Argon (High) model on September 30, 2026. This model achieved a score of 53 on the Artificial Analysis Intelligence Index, which is above the median of 26 for comparable models in its price range. It supports text and image input, outputs text, and has a 1M token context window, with pricing at $2.00 per 1M input tokens and $10.00 per 1M output tokens.
Google announced Gemini 4 Argon, its new frontier AI model, which offers advanced performance in software engineering, enterprise knowledge work, and cybersecurity defense. Access is currently restricted to "trusted cyber defenders" while Google expands access and strengthens safeguards.
Google announced Gemini 4 Argon, a new AI model that Google claims offers industry-leading performance in coding, knowledge work, and cybersecurity. The model is currently for internal use only but will support a 1 million token output limit, a significant increase from previous Gemini models.
Google announced Gemini 4 Argon, a new frontier AI model, is rolling out to cyber defenders through its Fairwind Program. The model is designed for deep reasoning across complex, long-horizon workflows in areas like software engineering, enterprise knowledge work, and cybersecurity defense, and is already powering internal Google workflows.
Google announced Gemini 4 Argon, a new frontier AI model, is rolling out to trusted cyber defenders through its Fairwind Program. The model is designed for deep reasoning in complex, long-horizon workflows across software engineering, enterprise knowledge work, and cybersecurity defense. Google is using a phased release approach, gathering feedback before wider availability.
Google announced Gemini 4 Argon, a new frontier AI model designed for complex, long-horizon workflows, featuring a 1M output token limit and enhanced capabilities in coding, reasoning, and cybersecurity defense. This release marks Google's latest advancement in AI, positioning it against other leading models in various benchmarks and offering new tools for developers and enterprises.
Google has announced Gemini 4 Argon, its new flagship AI model, which surpasses top models from OpenAI and Anthropic in most benchmarks. Access to Gemini 4 Argon will be rolled out in phases, starting with early testers and paid customers, before wider release.