You’re Using AI Wrong — Every LLM Explained in 20 Minutes

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There are more usable LLM models right now than at any point in this race — so I ran real tasks through every major AI model in 2026 and broke down what each one is genuinely good at: GPT, Gemini, Claude, Grok, DeepSeek, Qwen, GLM, Kimi, Llama, Mistral, Perplexity, local open-weight models, and agents.

At the end I explain where this whole comparison falls apart, and why you should never marry one lab.

⏱️ TIMESTAMPS:

00:00 – Intro
00:25 – GPT — the safe default (and what it really wins)
02:03 – Gemini — benchmarks, 2M context, and where it lives
05:13 – Claude — the work tool developers quietly moved to
08:32 – Grok — knows what happened 20 minutes ago
09:45 – DeepSeek & the Chinese models that broke pricing
11:35 – Local models — privacy, zero cost, real limits
13:04 – Meta AI & Llama
14:25 – Mistral
15:35 – Perplexity
16:24 – Agents — why long runs fail
17:32 – The cheat sheet: which model for which job
18:34 – Where this whole comparison falls apart
19:01 – My honest verdict

If you take one action from this video: pick the single task you do most, and run it through two models you don’t currently pay for. Then tell me in the comments which one won.

#AI #LLM #ChatGPT #Claude #Gemini #AITools2026