Gemini 3.1 Pro vs Grok 4.20: Which AI Model Actually Wins? скачать в хорошем качестве

Gemini 3.1 Pro vs Grok 4.20: Which AI Model Actually Wins?

Two of the most powerful AI models just dropped — Grok 4.20 by xAI and Gemini 3.1 Pro by Google. Everyone’s arguing about which one wins. But here’s the truth: they aren’t even built for the same tasks. In this video, I break down: The architecture behind Grok 4.20’s 4-agent system How Gemini 3.1 Pro’s monolithic reasoning model actually works Real-world benchmark results (ARC-AGI-2, GPQA, Alpha Arena) Where each model dominates Exact prompting strategies to unlock maximum performance When to use Grok vs when to use Gemini And why running both might be the real power move If you're building with AI, coding, researching, trading, or just trying to choose the right LLM for your workflow — this breakdown will save you hours. 🧠 Models Covered Grok 4.20 (xAI) Grok 4.20 Heavy Gemini 3.1 Pro ARC-AGI-2 Benchmark Alpha Arena v1.5 GPQA Benchmark 🔥 Best For: ✔ Developers ✔ AI founders ✔ Researchers ✔ Traders ✔ Enterprise teams ✔ Anyone choosing between Grok and Gemini 📌 Timestamps 00:00 – Intro: Grok 4.20 vs Gemini 3.1 Pro — Real World Tested 00:49 – What Is Grok 4.20? 02:22 – What Is Gemini 3.1 Pro? 03:43 – Key Architectural Differences 05:17 – Performance & Benchmarks 07:08 – Ideal Use Cases 09:01 – How to Prompt Grok 4.20 Effectively 11:08 – How to Prompt Gemini 3.1 Pro Effectively 13:02 – Strengths, Weaknesses & The Decision 15:00 – Conclusion & What to Use When Drop a comment: Which one are you using — Grok or Gemini?