Google DeepMind launches Gemini 4 Argon with 1M token output · 8 sources tracked
ByPulseAugur Editorial·[19 sources]·
Google DeepMind has announced Gemini 4 Argon, a new frontier AI model designed for complex workflows in coding, enterprise knowledge work, and cybersecurity. The model boasts an industry-leading 1 million token output limit and has demonstrated state-of-the-art performance on several benchmarks, including DeepSWE v1.1 and the Vals Index. Initially, Gemini 4 Argon is being rolled out to trusted testers through the Fairwind Program, with plans for broader availability after phased safety testing and engagement with the U.S. government's voluntary pre-release process. Pricing is set at an introductory $2 per million input tokens and $10 per million output tokens.
AI
IMPACT
Sets new SOTA on coding and enterprise benchmarks, potentially pressuring competitors like OpenAI and Anthropic.
RANK_REASON
Frontier-lab model release with system card and benchmark results.
Introducing Gemini 4 Argon – our new frontier model.
It’s built for complex workflows across coding, enterprise knowledge work, and cybersecurity defense – rolling out today to a set of trusted testers through our Fairwind Program. https://t.co/X8acOWJOSF
<p>Is Google back?</p> <p>They claim that they are back. Gemini 4 Argon is rolling out, with competitive frontier-level benchmarks, at $2/$10.</p> <p>What we don’t have is access to the model, because Google Fails Marketing Forever. So it is far too early to say what we have here…
<p>Google's latest frontier model targets the core pain points of real-world software engineering: context fragmentation and reasoning across sprawling code repositories.</p> <p>With the release of Gemini 4 Argon, the frontier model landscape just saw a major shakeup. As <a href=…
<p>Google announced Gemini 4 Argon on September 30, 2026, with a benchmark table that puts it highest in 13 of 19 rows. If you choose models at a developer-tool or API company, you now have to decide whether that changes this quarter's evaluation plan, budget, or roadmap, working…
<h1> Gemini 4 Argon Wins 12 of 18 Benchmarks. Code Isn't One. </h1> <p>Google just dropped <a href="https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-argon/" rel="noopener noreferrer">Gemini 4 Argon</a>, and the numbers are hard to argue with. The m…
dev.to — LLM tag
TIER_1English(EN)·Nikoloz Turazashvili (@axrisi)·
<p>Google announced Gemini 4 Argon on September 30, and the <a href="https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-argon/" rel="noopener noreferrer">launch post</a> calls it "our next era of frontier intelligence". It comes with a price, a 19-ro…
<p>Google has announced Gemini 4 Argon. The first thing I checked was the entrance.</p> <p>The public announcement describes a model built for complex software engineering, enterprise knowledge work and cybersecurity defense. The initial access arrangement puts trusted cyber defe…
<!-- SC_OFF --><div class="md"><p>I rarely write about benchmarks; a competitor always beats them next week. But I care about 'Leaps'. Gemini 4 Argon feels like one to me. </p> <p>While Opus 5.5 and Astra cap output at 128-300K tokens (~90-180 pages), Argon hits 1 Million (~1400 …
<p>Google dropped Gemini 4 Argon on September 30 and Hacker News lost its mind: 1,300+ points, 870+ comments, the top of the front page.</p> <p>Then everyone tried to use it and hit a wall. Argon is <strong>not</strong> generally available. Let's separate the signal from the laun…
