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Google launches Gemini 4 Argon frontier model with API rollout

1407 points · 1010 comments#gemini#google#frontier-model#api

Google DeepMind has released Gemini 4 Argon, the first frontier model in the Gemini 4 series, claiming it outperforms rivals like GPT-6 Astra and Claude Opus 5.5 across benchmarks in coding, cybersecurity, science, finance, and law. The model is available globally via the Gemini API, to Google AI Pro subscribers in the Gemini app and AI Mode, and in Antigravity for Ultra users. Launch pricing is $2 per million input tokens and $10 per million output tokens, with a 50% discount until November 30, after which prices double on December 1.

Coverage timeline

  1. The Verge AIRobert Hart

    After months sitting on the sidelines of the frontier AI race, Google has finally launched its long-awaited Gemini 4 Argon model, claiming it can compete with the best the industry has to offer. Google says Argon delivers "frontier reasoning and improved performance across complex workflows," while cutting down on hedging, repetition, and the cliches that continue to plague AI chatbots. 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 says it's already putting Argon to use internally, s … Read the full story at The Verge.

  2. Google DeepMind Blog
  3. Google DeepMind Blog
  4. Hacker News737max
  5. Techmeme

    Robert Hart / The Verge : Google rolls out Gemini 4 Argon globally via the Gemini API and to Google AI Pro subscribers in the Gemini app and AI Mode, and in Antigravity for Ultra users — After months of trailing its rivals, Google says Argon competes with the industry's best.

  6. Google DeepMind Blog
  7. Simon Willison

    Release: llm-gemini 0.35 I added support to llm-gemini for the new Gemini 4 Argon model, made available today via the Gemini API and for customers of their $100/month subscription plan. Here are the low, medium and high pelicans . As expected, they are all excellent: Gemini has a track record of producing great SVGs, and are the only lab where I know their staff have invested in SVG specifically (and who have boasted about their pelicans before.) Here's the "high" illustration, which cost me 17.166 cents: The pricing is interesting. At launch, Argon is $2/million input and $10/million output - the same price as GPT-6 Sol, half the price of Claude Opus 5.5 and 1/5th the price of Claude Fable 5.1 and GPT-6 Astra. But on December 1st Argon is set to double in price - so it will be the same price as Opus 5.5. Prices like this aren't really comparable these days since what really matters is how many tokens a model takes to achieve a goal within an agentic harness. One useful clue for that c

  8. 机器之心机器之心

    跳票已久的 Google Gemini 4 系列模型这次是真的来了…… 就在刚刚, 谷歌 DeepMind 正式面向全球上线了 Gemini 4 系列的首发前沿模型 ——Gemini 4 Argon 。 官方称,Gemini 4 Argon 的目标是解决现实世界中的复杂任务,聚焦软件工程、企业知识工作,以及网络防御,目前主要面向全球开发者、企业和消费者逐步开放。 在核心基础能力上,Gemini 4 Argon 继续巩固了谷歌在长上下文与多模态原生架构上的优势: 支持 100 万 token(1M) 上下文输入 ,原生覆盖文本、高分辨率图像、视频及音频。而针对超长链条的复杂任务,Argon 支持跨请求接续输出多达上百万 token,攻克 Agent 执行长周期规划任务时频繁遭遇的超时与断流瓶颈。 在 Artificial Analysis 的首发基准中,Argon 在 Intelligence Index 榜单斩获 53 分,与 GPT-6 Astra(Max)旗鼓相当,但得益于结构效率与定价比,其在同等高智力任务下的单任务加权成本仅为前者的约 60%。 从官方定价来看,目前 Argon 的 API 定价定为输入 2 美元 / 百万 tokens,输出 10 美元 / 百万 tokens 。对于长程交互中频繁复用的上下文缓存(Context Caching),给予高达 95% 的折扣。 不过值得注意的是, 该优惠一直持续到 11 月 30 日,之后将恢复正常,上升至 4 美元 / 20 美元 。 目前,全球范围内的开发者和企业用户,可通过 Gemini API 的付费版本以及 Gemini 平台使用;同时,Google Antigravity 的 Ultra 订阅用户,以及 Gemini 应用和搜索中的 Ultra、Pro 订阅用户也可以体验该模型。 几周完成 Chrome 数月的重构工作 编程是 Gemini 4 Argon 这次重点展示的能力。 谷歌表示,在公司内部,Argon 已经被广泛用于复杂软件工程任务。过去几周,借助 Antigravity,团队由 Agent 完成的代码提交量增长超过 35%,代码回滚量则下降了近三分之一。 典型的案例就是 Chrome。 Chromium 拥有约 4000 万行代码,其中一个包含浏览器功能的历史遗留目录就有约 600 万