Google's Gemini 4 Argon AI Just Landed

Want to make money and save time with AI? Join here: https://www.skool.com/ai-profit-lab-7462/about Video notes + links to the tools 👉 https://www.skool.com/ai-profit-lab-7462/about Get a FREE AI Course + Community + 1,000 AI Agents 👉https://www.skool.com/ai-seo-with-julian-goldie-1553/about Get a FREE AI SEO Strategy Session → https://go.juliangoldie.com/strategy-session?utm=julian Get 200+ Free AI SEO Prompts → https://go.juliangoldie.com/chat-gpt-prompts?utm=julian Get our free SEO Link Building Book here: https://go.juliangoldie.com/opt-in?utm=julian Gemini 4 Argon Announced: Benchmarks, 1M Output Tokens, Pricing & Release Timeline Google DeepMind announced Gemini 4 Argon, a new frontier model aimed at complex workflows across coding and enterprise knowledge, with benchmark results shown as outperforming models like GPT-6 Astra, Fable 5.1, and Opus 5.5 on many tests, though not all. The script notes Argon’s one million output token limit (up from 64K) for longer multi-step reasoning, highlights security-focused benchmarking and key scores such as 77.9% on DeepSWE v1.1 and 51.3% on Automation Bench, and mentions areas where GPT-6 Astra matches or beats it. Argon is not publicly available yet and is rolling out to trusted cyber defenders via the Fairwind program with no confirmed release date. Introductory pricing is $2/M input tokens and $10/M output tokens, with cached input tokens 95% off, and Google cites internal uses like quantum optimization and codebase efficiency. 00:00 Gemini 4 Argon Reveal 00:13 Benchmarks and Hype 00:46 Token Limit Breakthrough 01:18 Release Access and Rollout 02:38 Pricing and Internal Uses 04:12 No Demos Yet Reality Check 04:45 Which Benchmarks Matter 05:53 Key Stats and Caveats 06:37 Wrap Up and ETA Guess 06:58 AI Profit Ballroom Pitch 08:10 Final Thanks