Gemini 4 Argon's Benchmarks Are STUPID, GPT-6.1 Sol vs Opus 5.5 (IT'S GETTING WILD)

From the creator

Gemini 4 Argon vs GPT-6.1 Sol vs Claude Opus 5.5: Google says its new Gemini 4 Argon beats Opus 5.5 and OpenAI on 13 out of 19 benchmarks. But you can't use it yet. So is the source just trust me, bro? I put Google's own chart next to the independent tests, compared the real cost per task, and gave you my honest take 👇 👥 Join my Skool community: https://www.skool.com/nextphase-5790 The week: Monday, Anthropic dropped Sonnet 5.5. Tuesday, OpenAI dropped GPT-6.1 Sol at DevDay. Wednesday, Google dropped Gemini 4 Argon. 3 days, 3 "best models in the world." 🔒 Can you use it? Not yet. Google is only rolling Argon out to a small group of security testers (its Fairwind Program) for now, so I couldn't run my app test on it. 💰 Price per million tokens Gemini 4 Argon: $2 in, $10 out (intro price, same as Sol), then $4 in, $20 out (same as Opus). Google hasn't said when the intro price ends GPT-6.1 Sol: $2 in, $10 out Claude Opus 5.5: $4 in, $20 out ✅ Argon can write up to 1 million tokens in one answer. Opus and Sol stop at 128,000 📊 Google's own chart ✅ Legal (Harvey): Argon 19.6%, Opus 3.8% ✅ Business automation (Zapier AutomationBench): Argon 51.3%, Opus 42.5% ⚠️ Loses 5 out of 19, mostly coding. Terminal coding (Terminal-Bench 4.0): Opus 66.4%, Argon 57.4% ⚠️ GPT-6.1 Sol isn't on the chart (it came out the day before) 🔍 The independent tests Artificial Analysis Intelligence Index: Opus 5.5 57.6, Argon 52.6, Sol about 52 ✅ Argon has the lowest hallucination rate of the top models: 15% Vals Index (finance, legal, coding): Argon 68.9%, Opus 67%, Sol 61.2% 💸 Cost per task (Artificial Analysis) GPT-6.1 Sol: about $0.72 Gemini 4 Argon: about $1.99 (about $3.98 once the intro price ends). It writes a lot, about 62,000 tokens per task Claude Opus 5.5: about $5.98 🏆 My take: Opus has the top independent score but costs the most. Argon wins on business automation and makes things up the least. Sol is way cheaper than both. Who wins depends on what you're paying for. The questions that actually matter: can I use it today, what does it cost me per task, and does it do my job? ⏱️ Chapters 0:00 Gemini 4 Argon: can you even use it? 0:23 3 "best models in the world" in one week 0:41 Why I can't test Argon yet 0:54 The sneaky intro price 1:17 1 million tokens in one answer 1:30 Google's chart: the big wins 1:46 Where Argon loses 2:00 Who's missing from the chart? 2:14 What the legal "win" really means 2:26 Every company grades itself 2:37 The independent test: Artificial Analysis 3:03 Vals: Argon on top 3:21 Cost per task, not per token 3:52 So who wins? 4:08 My take: this is getting ridiculous 4:24 The 3 questions that actually matter 4:43 When I'll test Argon myself 5:01 Are you tired of these launches? 🔔 The day Argon opens up, I'm giving it the exact same room-scan quote app test I gave Opus 5.5 and GPT-6.1 Sol. Subscribe so you don't miss it, and tell me in the comments: are you tired of these launches, or loving it? #gemini #claude #openai

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