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#sponsored Try Mina https://getmina.ai/?utm_source=AIMaster+&utm_medium=AIMaster+&utm_campaign=AIMaster+&utm_id=YT3 @HeyMinaAI 🚀 Try every LLM – All-in-one AI Learning https://aimaster.me/yt/llm 🤝 Exclusive brand partnership — https://aimaster.me/collab 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