Google just dropped Gemini 3.0 — and it’s crushing the benchmarks that matter.
This isn’t another incremental update. Gemini 3.0 Pro scored 45.1% on ARC-AGI-2 (abstract reasoning) — a 9x jump from Gemini 2.5 Pro. It topped the LMArena leaderboard at 1500+ ELO, beating GPT-4 and Claude. And here’s the killer feature: frame-by-frame YouTube video analysis with 1 million token context.
In this video, I show you:
? What makes Gemini 3.0 different (3 variants: Standard, Pro Preview, Deep Think)
? The benchmarks that shocked AI researchers (Humanities Last Exam, GPQA, ARC-AGI-2)
? Frame-by-frame video understanding—how it changes workflows for creators, educators, and devs
? AI Mode in Search + generative interfaces (dynamic UIs built on the fly)
? Antigravity IDE—Google’s new AI-first coding environment
? Deep integrations: Workspace, Chrome, Android, agents that actually work
? Real tests I ran: video analysis, coding, research, and automation use cases
? Should you switch from ChatGPT/Claude? (Honest breakdown)
If you’re creating content, building tools, or just trying to keep up with AI without drowning in hype—this is the breakdown you need.
?? TIMESTAMPS
00:00 — Why everyone’s talking about Gemini 3.0
00:40 — Explanation of the new model – What is Gemini 3.0? (Standard, Pro, Deep Think)
02:36 – Benchmarks: Crushing the Competition
05:01 – Feature 1: Native Video Understanding
07:55 – Feature 2: Generative Interfaces in AI Search
09:50 – Antigravity IDE: Google Antigravity (AI-First IDE)
11:55 – Real Use Cases for Creators, Researchers and Coders
12:58 – Feature 3: Gemini Agent
15:09 – Pricing, Tiers, and Data Privacy
16:56 – Final Verdict: Should You Switch?
Credit to : AI Master