Part of Google Gemini Security Vulnerabilities · 3 stories · since Sep 23 · newest 1h ago
Google launches Gemini 4 Argon, locks it behind 'trusted cyber defenders' accessThe Decoder finds Argon matches GPT-6 Astra but trails Claude Opus 5.5
5 Sep 30 6:06 PM · 13d ago · 8 articles · 12 posts · 10 comments · 5 sources · development 5 of 6
Independent testing by The Decoder found Gemini 4 Argon ties OpenAI's GPT-6 Astra but falls short of Anthropic's Claude Opus 5.5, and that Argon consumes more than twice as many tokens per task as Astra despite its lower per-token price.
“We’re focused on rolling it out responsibly starting with government and trusted cyber defenders through our Fairwind Program today, before wider availability soon”
Demis Hassabis, CEO, Google DeepMind · x ↗
Sundar Pichai Google CEO
Demis Hassabis CEO, Google DeepMindKoray Kavukcuoglu SVP, Google DeepMindGoogle Developer of Gemini 4 Argon
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What was reported 1 claim about this development
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1 outlet Google Gemini 4 Argon closes the gap with OpenAI and Anthropic but doesn't take a clear lead
first by The Decoder, 13d ago
What people said 24 voices · best of 26 · verbatim
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Very excited to announce Gemini 4 Argon, our new Frontier AI model, and a huge step forward across key capabilities. We’re focused on rolling it out responsibly starting with government and trusted cyber defenders through our Fairwind Program today, before wider availability soon
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This is completely the wrong read!Sol 6.1 scores one point less than Gemini 4 on intelligence AND costs less than half ($0.72 vs $1.99) per task.Additionally, if you are using OpenAI you have the option to pay a bit more and get Astra which - despite the benchmarks - does outperform Sol on some things.Also, people are - rightly - very wary of…
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Artificial Analysis says Gemini 4 Argon (high) matches GPT-6 Astra (max) on its Intelligence Index and has a 15% hallucination rate, compared with 51% for Astra (Artificial Analysis) https:// artificialanalysis.ai/articles /gemini-4-argon-google-top-three-labs http://www. techmeme.com/260930/p53#a26093 0p53
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Google's new Gemini 4 Argon equals GPT-6 Astra on the Artificial Analysis Intelligence Index at 60% of the Cost per Task with discounted prices. Google is now back to being one of the top three labs in intelligence achieved Gemini 4 Argon is @GoogleDeepMind's first proprietary model above the Flas...
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> I was trying to use rocm with llama.cppcompletely offtopic but is rolling with rocm worth it? I spend a fair bit monthly on rental gpus for projects and going to upgrade at home instead, AMD has some solid winners here pricewise but get conflicting reports about using it for ML in 2026.once upon a time it seemed unthinkable to use anything but…
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Google has released its latest Gemini model, marketing it as a workhorse for coding and cybersecurity work. https:// techcrunch.com/2026/09/30/goog le-releases-gemini-4-argon-called-its-most-powerful-model-yet/?utm_source=dlvr.it&utm_medium=mastodon
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It's hard to not see this as a gut punch for OpenAI. They're lead was largely captured by scoring on value (by way of reset after reset) and now they're getting eaten up on price and being bestes and equalled on performance. I'll still pay a premium for Opus 5.5 right now because it's nearly unlimited use, but Google is the quiet sleeping king…
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> it proceeded to attach GDB to my GPU driver, reverse-engineer the kernel queue ioctl interface, and author an LD_PRELOAD C shim to get ROCm llama.cpp working on my Strix Halo.Most llm could do it. Claude went from firmware thread -> rtos scheduler -> mcu reference manual -> hardware controller register interface -> vendor sdk -> problem…
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I’m guessing this is considered something like a C grade from Google if they are being honest with themselves.After being nowhere near the frontier for a long time, they are pre announcing a model that ranks 3rd, roughly on par with models today that are cheaper.Good for them to think about releasing to stay in the frontier game.(I do think 3.7…
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That's cool, but the real question is, why aren't you using Hipfire[1] or HaloPFX[2]? Both are far superior to llama.cpp in terms of performance, for Strix Halo.[1]
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I use 3.8 Flash for daily troubleshooting tasks e.g. help me find out why certain app crashes or certain website does not load normally with playwright-cli. Sure it's not as capable but it's fast and almost free (sufficient quota with pro account). The only thing that bugs me is that I need to use `--dangerously-skip-permissions` as it does not…
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> Gemini 4 Argon is already powering our internal workflows, with thousands of Googlers highlighting the model’s strengths in specialized coding tasks, conducting deeper research, and writing quality.Like writing "What's new: this release includes stability and performance improvements" for every update to Google apps in the Android Play Store?
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Whatever your workflow is, make sure that model and provider are replaceable. Frontier labs will keep leapfrogging each other, as they have been doing for months.In order for the benefits of AI to be distributed, intelligence has to become a commodity.As long as you control the skills, the learnings, and the infrastructure setup you will be fine.
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Note: Google can sell their tokens at cost if they really want to drive out competition, but long term they are better off by everyone making a healthy margin (and Google does a double-dip by also selling compute, services).So, like any optimal game theory move, they are better off not starting a price war
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What a snooze fest. Another model that does not meaningfully improve on intelligence or price compared to its peers. Google has basically announced that they've "caught up" with the rest. I think they've been doing great work in the Flash department so seeing this is... underwhelming?
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They own their hardware. That vertical integration alone probably saves oodles because they can reconfigure to their needs as opposed to individually negotiating data centre plans. I can't imagine the complexity both OpenAI and Anthropic have to maintain for their deployments.
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This is why I think llms are a killer app for Linux desktop. They’ve been trained on Linux very hard, and it cleanly solves the “how do I make it do $thing” problem since everything is open and the llm can manipulate it. For example: Sound not working? Just tell the llm.
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Meanwhile I'm still being offered Gemini 3.1Pro on gemini.google.com :-Dhttps://imgur.com/a/h96yg5tThis is on a $20/mo paid plan :cry:
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I've been tinkering with Gemini for several months and I think it's great. The most complex things I've had it do is create a rust emulator from a compiled game, as well as create a buildroot linux image, trouble shoot problems etc.
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I'm not sure Google can cut in when Claude and ChatGPT already got. I'm using both, but I'll keep track of whether Google can make it good enough for me to use also this Gemini, or cancel one of the two (Claude and ChaGPT) for it.
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I am still not sold on Gemini 4 Argon yet from the chart.The price is enticing for cost per tasks, but let's see how it goes.I have montly (cheapy) sub to gemini models and has been underwelming and lowered the tier.
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The benchmark scores are not exciting. I understand Google is playing a catch up game right now, but still wish to see some overwhelming improvements.
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The most impressive jump for me is in the low hallucination rate, which is specially impressive given how bad Gemini current models are on this regard
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Cool. But until I can play with it it’s vaporware. I will say I think 3.1 pro is still really good for legal type things. They cooked with that one.
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