Gemini 4 Argon für zahlende Nutzer freigeschaltet: Was kann das neue Modell?

Google schaltet das nächste Flaggschiff-Modell frei: Analyse der neuen Fähigkeiten und Kosten.

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Schritt-für-Schritt Anleitung

Gemini 4 Argon is now open to paying users

(but your free account isn't invited)

In partnership with

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Your 30 second cheat sheet

What happened: Google's top model, Gemini 4 Argon, started rolling out yesterday in the Gemini app, AI Mode in Search and the API (Google's announcement).

Price: Google AI Pro at $19.99 a month, or Ultra from $99.99 (plans). Free accounts don't get it.

Use it when: a long document or a coding job keeps tripping up your current AI.

Skip it when: you just need quick answers. Free tools still handle those fine.

The model you were told to wait for just showed up

Two weeks ago, Google's strongest model was here but locked. Only vetted security teams could use it.

That changed yesterday. Google is now rolling Argon out to AI Pro and Ultra subscribers in the Gemini app and in AI Mode in Search. Developers on the paid API tier get it too.

So what's different for you? Google says Argon is better at long, multi-step jobs, the kind where other models lose the thread halfway.

It also writes more directly, with less hedging, and sticks closer to the style you ask for.

Fewer "great question!" openers. Fewer paragraphs that say nothing.

This is what it has achieved

Google shared four results from its own teams. They're Google's reports, but for most of them the code is public, so you can check.

A big Python project, sped up overnight. Given a one paragraph goal, Argon worked alone overnight on Google's open source Agent Development Kit, a toolkit for building agents. Its fixes cut session prep time by 40% in long sessions.

A chemistry tool, up to 2.3x faster. Scientists use xTB to predict a molecule's 3D shape. Argon's speedups are now in its GitHub repo.

Gemma, nearly 3x faster. In a few days, Argon took Google's small open model from about 37,900 to over 108,000 tokens a second, with no drop in quality. Google says that usually takes months. The code changes are public.

3D scenes and games in a browser tab. Googlers use it to prototype 3D visuals and animations in plain code.

— # (#)

— # (#)

Quick break from Gemini.Google’s engineers went to bed and woke up to faster code. Here’s how to get the same treatment for your reports and leads:

Your agents work while you sleep

Give a Skydive agent an ongoing responsibility and they’ll handle it on schedule, every time.

Have them prep your morning report, research new leads, monitor customer feedback, or keep projects moving overnight. You wake up, the work is already done.

Make your first agent

Hand it the job your AI keeps fumbling

The quickest way to know if Argon is worth $19.99 a month: give it a task your current AI got wrong.

Say ChatGPT botched the summary of a 30 page client contract last month. Paste the same contract into Argon with the same prompt and see which one catches the clauses that matter.

Step 1: Open Gemini and check the model picker. The rollout is gradual, so it might take a day to appear.

Step 2: Run the same prompt and files through both models. Decide what a good answer looks like before you start, so you judge results and not vibes.

Step 3: If you build with the API, the launch price is $2 per million input tokens and $10 per million output (a token is about three quarters of a word). It doubles after November 30, so test now. Setup is in the developer guide.

Something to watch out: AI Pro doesn't get Argon in AI Studio or Antigravity, Google's coding tools.

Those need Ultra, per Ars Technica's report. And Google's plans page also lists Argon under the $4.99 AI Plus plan, while the announcement only names Pro and Ultra.

Check your picker before upgrading.

Also happened yesterday

Facebook now takes requests. Meta's new Your algorithm tool lets you type the topics you want in Feed and Reels, and AI reads what you mean. If you post there, make your topic obvious early, because viewers can now ask for more or less of it in plain words.

A strong open model that runs on a laptop. Liquid AI released LFM2.5-24B-A2B, built for agents and tool use. Liquid says it hits about 184 tokens a second on an Apple M5 Max, and you can load it in LM Studio.

Anthropic outgrew Git. Merged code changes at the company went from about 2,500 a day in May to over 30,000 by September, so it built its own replacement, called Scion. You can't install it. It just shows how fast agent-written code is piling up.

You’re only {{rp_num_referrals_until_next_milestone}} referrals away from {{rp_next_milestone_name}}. Send this to that friend who pays for Gemini:

{{rp_refer_url}}

See you tomorrow.

Stefano MartellCo-Founder, The AI Leverage by Bestapps.ai

PS: Google just had a big week, but the lead seems to change hands every month. Pick yours:

Who's winning the AI race right now?

OpenAIGoogleAnthropicMetaxAIMistralDeepSeek

Login or Subscribe to participate

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Praxistipps für Schweizer KMU & Power-User

1. Verschlüsselte Schlüsselverwaltung: Speichere keine Produktiv-Keys in ungesicherten Umgebungsvariablen. Nutze lokale Secrets-Manager.
2. Fallback-Hierarchie: Konfiguriere schnelle Modelle (z.B. Groq / Llama 3) für Routine-Klassifizierungen und schwere Modelle nur für komplexe Synthesen.
3. DSG-Konformität: Stelle sicher, dass bei der Nutzung internationaler Endpunkte keine personenbezogenen Kundendaten im Prompt enthalten sind.

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Fazit & Download

Dieser Workflow beweist: Professionelle KI-Infrastruktur muss nicht teuer sein. Mit den richtigen Open-Source-Bausteinen baust du in unter 15 Minuten ein Setup auf, das kommerziellen Agenten-Plattformen in nichts nachsteht.

Original-Inspiration von The AI Leverage: https://theaileverage.beehiiv.com/p/gemini-4-argon-is-now-open-to-paying-users

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