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    Announcement

    Google introduces Gemini 4 Argon with limited cyber rollout

    Google announces a 1 million-token output limit, up from 64,000, for its new model. Initial access goes to trusted cyber defenders through the Fairwind Program.

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    TLDR

    Google announced Gemini 4 Argon with an output limit of 1 million tokens and an initial rollout to trusted cyber defenders through Fairwind. Google describes internal use for coding and data-center memory optimization. It plans to refine safeguards with early feedback before broader access, starting with paid API customers and Google AI Ultra subscribers.

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    220 Sources, first seen 10h ago

    Combined views

    16.4M

    220 Sources, first seen 10h ago

    156.1K likes

    Useful links

    Google

    Proactive cyber defense for governments and enterprises

    blog.google

    Innovation & AI
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    Google announced Gemini 4 Argon on Sept. 30, beginning a limited rollout to trusted cyber defenders through its Fairwind Program. In its announcement, Google describes the model as built for long-running software engineering, enterprise knowledge work and cybersecurity defense.

    The company says Argon's output limit rises to 1 million tokens, up from the previous 64,000. Google presents the larger limit as room for the model to reason and generate longer outputs during complex tasks.

    Internal engineering use

    Google says its engineers are already using Argon for debugging, codebase migrations and algorithm design. The announcement describes agents working on C/C++-to-Rust migrations, including 800,000-plus lines for the Fuchsia OS Zircon kernel. Google says these rewrites undergo automated and manual auditing, testing and review before production rollout.

    The company also reports that Argon agents identified and applied data-center memory optimizations that freed more than 300 TiB once rolled out.

    Access starts with cyber defenders

    Google says trusted defenders and its own internal teams will receive Argon without cyber guardrails so they can use its full defensive capabilities. For broader release, the company describes continuing work on safeguards against misuse and prompt injection, monitoring for misalignment, and hardening sandboxed environments.

    Google plans to use early testers' feedback to refine guardrails before expanding access to developers, enterprises and consumers, starting with paid API customers and Google AI Ultra subscribers.

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    Sentiment

    Positive53.4%46.6%Negative

    Based on 123 sentiment-bearing replies from 118 accounts across 2 conversations.

    Featured Source
    6.5K comments
    14.6K saves
    11.7K reposts

    Useful Links

    Google

    Proactive cyber defense for governments and enterprises

    Sentiment

    Positive53.4%46.6%Negative

    Based on 123 sentiment-bearing replies from 118 accounts across 2 conversations.

    blog.google

    Innovation & AI
    Today's Rank

    #1

    Today's Rank

    #1

    Useful Links

    Google

    Proactive cyber defense for governments and enterprises

    blog.google

    Innovation & AI

    221 Sources

    GoogleGemini 4 Argon: our next era of frontier intelligence
    @sundarpichaiLots of discussion out there about our next model(!), so I wanted to give an early look as soon as possible. Introducing Gemini 4 Argon! It shows frontier performance in complex workflows, cyber defense and software engineering. Teams are using it extensively at Google, from coding to quantum computing, great feedback. Here’s a look at the benchmarks:
    @OfficialLoganKIntroducing Gemini 4 Argon, our new frontier model, rolling out to cyber defenders starting today, and more widely as soon as possible. I am really excited by the progress we have made here. Argon is priced at $2 in and $10 out during introductory pricing!
    @vitaliychileytrust the process
    @GoogleToday we’re introducing Gemini 4 Argon. It delivers frontier performance in complex workflows across real-world software engineering, knowledge work, and cybersecurity defense with an industry-leading 1M token output limit.
    @ValsAIGemini is on top of the Vals Index for the first time. Gemini 4 Argon takes the #1 spot on the Vals Index at 68.9%.
    @GoogleAIAnnouncing Gemini 4 Argon, our new frontier model. Argon is built to sustain deep reasoning across complex, long-horizon workflows and delivers frontier performance in complex workflows across real-world software engineering, enterprise knowledge work like legal and finance, and cybersecurity defense. We’re also expanding the model’s output token limit to an industry-leading 1M tokens. Argon is currently rolling out to a set of trusted cyber defenders in the Fairwind Program, with broader availability as soon as possible.
    @ammaarHere's a preview of Gemini 4 Argon's benchmarks. Rolling out to cyber defenders today, and to everyone as soon as possible. Excited to see all the progress and can't wait for you all to use it!
    @elder_plinius@GoogleDeepMind
    @_philschmidGemini 4 Argon, our new frontier model. Up to 1M output tokens, up from 64K. $2 in / $10 out at launch. In testing with trusted partners. Developer access as soon as possible. 👇🏻 https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-argon

    221 Sources

    GoogleGemini 4 Argon: our next era of frontier intelligence
    @sundarpichaiLots of discussion out there about our next model(!), so I wanted to give an early look as soon as possible. Introducing Gemini 4 Argon! It shows frontier performance in complex workflows, cyber defense and software engineering. Teams are using it extensively at Google, from coding to quantum computing, great feedback. Here’s a look at the benchmarks:
    @OfficialLoganKIntroducing Gemini 4 Argon, our new frontier model, rolling out to cyber defenders starting today, and more widely as soon as possible. I am really excited by the progress we have made here. Argon is priced at $2 in and $10 out during introductory pricing!
    @vitaliychileytrust the process
    @GoogleToday we’re introducing Gemini 4 Argon. It delivers frontier performance in complex workflows across real-world software engineering, knowledge work, and cybersecurity defense with an industry-leading 1M token output limit.
    @ValsAIGemini is on top of the Vals Index for the first time. Gemini 4 Argon takes the #1 spot on the Vals Index at 68.9%.
    @GoogleAIAnnouncing Gemini 4 Argon, our new frontier model. Argon is built to sustain deep reasoning across complex, long-horizon workflows and delivers frontier performance in complex workflows across real-world software engineering, enterprise knowledge work like legal and finance, and cybersecurity defense. We’re also expanding the model’s output token limit to an industry-leading 1M tokens. Argon is currently rolling out to a set of trusted cyber defenders in the Fairwind Program, with broader availability as soon as possible.
    @ammaarHere's a preview of Gemini 4 Argon's benchmarks. Rolling out to cyber defenders today, and to everyone as soon as possible. Excited to see all the progress and can't wait for you all to use it!
    @elder_plinius@GoogleDeepMind
    @_philschmidGemini 4 Argon, our new frontier model. Up to 1M output tokens, up from 64K. $2 in / $10 out at launch. In testing with trusted partners. Developer access as soon as possible. 👇🏻 https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-argon

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