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In this video, I'll be telling you about MiniMax-01 which is an Opensource Model that has the longest context window ever in an opensource model and beats Deepseek-V3, Claude & Others. Today, I'll test it and we'll see if it is really good or not.
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Key Takeaways:
🎥 Explore the New MiniMax O1 Model: Learn about this open-source AI model with 456 billion parameters and a groundbreaking 4-million-token context window, perfect for AI agents and long-context tasks.
🚀 Lightning-Fast Performance: Discover how the Lightning Attention mechanism makes it faster and more memory-efficient than traditional transformers.
💸 Incredible Cost Efficiency: MiniMax O1 offers affordable API pricing—just $0.2 per million input tokens and $1.1 per million output tokens, ideal for developers on a budget.
📊 Benchmark Beast: Outperforms Llama 3.1 and even challenges Claude in several benchmarks while matching Deepseek V3 in specific tests.
🧪 Perfect for Testing: Use their free demo site with no rate limits or try the model locally on HuggingFace to experiment with cutting-edge capabilities.
🔧 Great for Coding & Contexts: Handles large codebases effortlessly, making it an excellent tool for software developers and AI researchers.
🌟 Free and Accessible: Experience the future of AI technology without spending a dime by uploading images, documents, or using their demo platform.
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Timestamps:
00:00 - Introduction
00:07 - About MiniMax-01
03:06 - OnDemand (Sponsor)
04:13 - Testing
08:45 - Final Chart & Thoughts