--- title: Gemini 4 Argon: our next era of frontier intelligence description: Google announced Gemini 4 Argon, its new frontier model focused on real-world software engineering, enterprise knowledge work, and cybersecurity defense. Argon... canonical: https://daily.dev/posts/gemini-4-argon-our-next-era-of-frontier-intelligence-tgugykpop twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Gemini 4 Argon: our next era of frontier intelligence | daily.dev og:description: Google announced Gemini 4 Argon, its new frontier model focused on real-world software engineering, enterprise knowledge work, and cybersecurity defense. Argon... og:url: https://daily.dev/posts/gemini-4-argon-our-next-era-of-frontier-intelligence-tgugykpop og:image: https://api.daily.dev/og/posts/TgugykPOp.png og:image:alt: Gemini 4 Argon: our next era of frontier intelligence og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Gemini 4 Argon: our next era of frontier intelligence **[DeepMind](https://daily.dev/sources/dm)** · 7 min read · 0 upvotes · 0 comments ## Summary Google announced Gemini 4 Argon, its new frontier model focused on real-world software engineering, enterprise knowledge work, and cybersecurity defense. Argon is rolling out first to trusted cyber defenders via the Fairwind Program, with introductory pricing of $2 per million input tokens and $10 per million output tokens (95% off for cached inputs). It expands output token limits to 1M tokens (up from 64K), sets new state-of-the-art scores on DeepSWE v1.1 (77.9%), leads the Vals Index, AutomationBench (51.3%), and LVBench (91.7%), and ties for first on CWE-bench v1 (68%) for vulnerability remediation. Internally, Google is using Argon agents for large-scale C/C++-to-Rust codebase migrations (including Fuchsia's Zircon kernel) and data center memory optimizations. The company also detailed new safeguards against misuse, prompt injection, and misalignment ahead of broader release to developers, enterprises, and consumers. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What is Gemini 4 Argon and what is it designed for? Gemini 4 Argon is Google's new frontier AI model built for real-world software engineering, enterprise knowledge work like legal and finance, and cybersecurity defense. It sustains deep reasoning across long, complex workflows, sets a new state of the art on DeepSWE v1.1 (77.9%), and leads the Vals Index measuring economic impact across finance, coding, legal, and tax domains. It rolls out first to trusted cyber defenders through the Fairwind Program before wider availability. _Developers evaluating frontier coding models can track Gemini 4 Argon's rollout and benchmarks on daily.dev._ ### How much does Gemini 4 Argon cost to use via the API? Gemini 4 Argon launches at an introductory price of $2 per million input tokens and $10 per million output tokens, with cached input tokens priced at 95% off the standard input rate. It also expands the output token limit to 1M tokens, up from the previous 64K token ceiling, enabling deeper reasoning across longer single trajectories. _Teams budgeting for frontier model usage can compare pricing details like this on daily.dev._ ### How well does Gemini 4 Argon perform at finding and fixing security vulnerabilities compared to previous Google models? Gemini 4 Argon ties for first place on CWE-bench v1 with a top score of 68% for vulnerability remediation, building on the prior frontier performance of 3.8 Flash Cyber on CWE-bench v0. In an early real-world test through Wiz's Scan for Good initiative, it uncovered a critical vulnerability exposing sensitive personal data in hospital software that earlier frontier models had missed. _Security engineers tracking AI-assisted vulnerability discovery can follow benchmark results like these on daily.dev._ ## Similar posts on daily.dev - [Gemini 4 Argon: Google’s New AI Is Built to Think and Work for Much Longer](https://daily.dev/posts/gemini-4-argon-google-s-new-ai-is-built-to-think-and-work-for-much-longer-ibbgfhpdj) · Medium · 0 upvotes · 0 comments - [Gemini 4 Argon debuts with a unified 1M input/output token limit](https://daily.dev/posts/gemini-4-argon-debuts-with-a-unified-1m-input-output-token-limit-uqdxppv6j) · The New Stack · 5 upvotes · 2 comments --- Tags: [#ai](https://daily.dev/tags/ai), [#google](https://daily.dev/tags/google), [#google-gemini](https://daily.dev/tags/google-gemini), [#prompt-injection](https://daily.dev/tags/prompt-injection) [View this post on daily.dev](https://daily.dev/posts/gemini-4-argon-our-next-era-of-frontier-intelligence-tgugykpop) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Gemini 4 Argon: our next era of frontier intelligence","url":"https://daily.dev/posts/gemini-4-argon-our-next-era-of-frontier-intelligence-tgugykpop","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/gemini-4-argon-our-next-era-of-frontier-intelligence-tgugykpop"},"datePublished":"2026-09-30T20:06:22.474Z","dateModified":"2026-09-30T21:11:02.147Z","description":"Google announced Gemini 4 Argon, its new frontier model focused on real-world software engineering, enterprise knowledge work, and cybersecurity defense. 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