Uploaded April 2026 | Updated September 2026, 2 weeks ago
🚀 The LangChain 10 Days FREE Bootcamp is live: 10 lessons, free AI models only, from your first API call to a production grade RAG agent. Start with Day 0 for the roadmap and setup.
📺 Full playlist: youtube.com/watch?v=KJ3_NExk7-Q&list=PLW4pPr9JCovI&index=1
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🤯 MiMo V2.5 Pro vs Kimi K2.6 — One Prompt, Two Ubuntu Clones
youtu.be/6iW8UcMOUqs
🚀 In this video, I tested the latest Xiaomi MIMO 2.5 Pro AI model — a 1 trillion parameter open-source model — and compared it against top models like Qwen 3.6+, DeepSeek, GLM 5.1, and more.
But instead of just theory…
👉 I gave ALL models the same prompt:
“Create a browser-based macOS clone”
And the results? 🤯
🔥 What You’ll See in This Video:
MIMO 2.5 Pro capabilities explained (Mixture of Experts 🔥)
Open Source vs Closed Source AI battle
Real-world test: macOS UI clone generation
Comparison with:
Qwen 3.6+
DeepSeek V4
GLM 5.1
Kimi K2.6
Token efficiency comparison (cost savings 💰)
Which AI actually performs best?
💡 Key Insights:
MIMO uses MoE architecture (42B active params)
Up to 40–60% fewer tokens vs competitors
Strong agentic + multimodal capabilities
Can work on long tasks (hours-long execution)
🧠 My Verdict:
Every model performed well…
But one clearly stood out in UI quality 👀
👉 Watch till the end to see the winner.
📚 Learn More with My Udemy Courses
🧠 Master OpenAI Agent Builder - Deploy Chatbot to Your Website
udemy.com/course/master-openai-agent-builder-low-code-ai-projects-workflow/?referralCode=B0B67D18B1013E488FB7
🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
udemy.com/course/mcp-mastery-build-ai-apps-with-claude-langchain-and-ollama/?referralCode=31C17C306A59601B8689
🚀 Agentic RAG with LangChain & LangGraph
udemy.com/course/agentic-rag-with-langchain-and-langgraph/?referralCode=C0BCC208F53AF2C98AC5
🧠 LangGraph with Ollama
udemy.com/course/langgraph-with-ollama/?referralCode=B646DCB44A189BEBC20C
⚡ Ollama and LangChain
udemy.com/course/ollama-and-langchain/?referralCode=7F4C0C7B8CF223BA9327
🔧 Fine-Tuning LLM with Hugging Face Transformers
udemy.com/course/fine-tuning-llm-with-hugging-face-transformers/?referralCode=6DEB3BE17C2644422D8E
📖 NLP with BERT in Python
udemy.com/course/nlp-with-bert-in-python/?referralCode=063516494616C76907CD
🌐 Connect with Me
Website & Blogs: kgptalkie.com
LinkedIn: linkedin.com/in/laxmimerit
GitHub: github.com/laxmimerit
Twitter (X): twitter.com/laxmimerit
📌 Support the Channel
👍 Like the video if it helps you
💬 Comment your doubts & feedback
🔔 Subscribe for free weekly AI & Data Science content
#DataScience #MachineLearning #LangChain #LangGraph #Ollama #Python #AI #DeepLearning #NLP #GenerativeAI #LLM #HuggingFace #BERT
🚀 The LangChain 10 Days FREE Bootcamp is live: 10 lessons, free AI models only, from your first API call to a production grade RAG agent. Start with Day 0 for the roadmap and setup.
📺 Full playlist: youtube.com/watch?v=KJ3_NExk7-Q&list=PLW4pPr9JCovI&index=1
----------
🤯 MiMo V2.5 Pro vs Kimi K2.6 — One Prompt, Two Ubuntu Clones
youtu.be/6iW8UcMOUqs
🚀 In this video, I tested the latest Xiaomi MIMO 2.5 Pro AI model — a 1 trillion parameter open-source model — and compared it against top models like Qwen 3.6+, DeepSeek, GLM 5.1, and more.
But instead of just theory…
👉 I gave ALL models the same prompt:
“Create a browser-based macOS clone”
And the results? 🤯
🔥 What You’ll See in This Video:
MIMO 2.5 Pro capabilities explained (Mixture of Experts 🔥)
Open Source vs Closed Source AI battle
Real-world test: macOS UI clone generation
Comparison with:
Qwen 3.6+
DeepSeek V4
GLM 5.1
Kimi K2.6
Token efficiency comparison (cost savings 💰)
Which AI actually performs best?
💡 Key Insights:
MIMO uses MoE architecture (42B active params)
Up to 40–60% fewer tokens vs competitors
Strong agentic + multimodal capabilities
Can work on long tasks (hours-long execution)
🧠 My Verdict:
Every model performed well…
But one clearly stood out in UI quality 👀
👉 Watch till the end to see the winner.
📚 Learn More with My Udemy Courses
🧠 Master OpenAI Agent Builder - Deploy Chatbot to Your Website
udemy.com/course/master-openai-agent-builder-low-code-ai-projects-workflow/?referralCode=B0B67D18B1013E488FB7
🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
udemy.com/course/mcp-mastery-build-ai-apps-with-claude-langchain-and-ollama/?referralCode=31C17C306A59601B8689
🚀 Agentic RAG with LangChain & LangGraph
udemy.com/course/agentic-rag-with-langchain-and-langgraph/?referralCode=C0BCC208F53AF2C98AC5
🧠 LangGraph with Ollama
udemy.com/course/langgraph-with-ollama/?referralCode=B646DCB44A189BEBC20C
⚡ Ollama and LangChain
udemy.com/course/ollama-and-langchain/?referralCode=7F4C0C7B8CF223BA9327
🔧 Fine-Tuning LLM with Hugging Face Transformers
udemy.com/course/fine-tuning-llm-with-hugging-face-transformers/?referralCode=6DEB3BE17C2644422D8E
📖 NLP with BERT in Python
udemy.com/course/nlp-with-bert-in-python/?referralCode=063516494616C76907CD
🌐 Connect with Me
Website & Blogs: kgptalkie.com
LinkedIn: linkedin.com/in/laxmimerit
GitHub: github.com/laxmimerit
Twitter (X): twitter.com/laxmimerit
📌 Support the Channel
👍 Like the video if it helps you
💬 Comment your doubts & feedback
🔔 Subscribe for free weekly AI & Data Science content
#DataScience #MachineLearning #LangChain #LangGraph #Ollama #Python #AI #DeepLearning #NLP #GenerativeAI #LLM #HuggingFace #BERT
