In this video, I'll be telling you about the massive update to Kimi with the launch of K2.5. This new open-source model brings native multimodal capabilities, allowing it to see and understand video, alongside a powerful new Agent Swarm feature for parallel task execution.

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Key Takeaways:

🚀 Kimi K2.5 is now a native multimodal model, capable of understanding images, videos, and generating code from UI designs.  
🐝 The new Agent Swarm capability can spin up to 100 sub-agents to execute tasks in parallel, drastically reducing execution time.  
📈 It scores 5th on the leaderboard with 64%, beating Claude Sonnet 4.5 and Deepseek V3.2.  
💰 The model is extremely cost-efficient, delivering high performance for a fraction of the price of proprietary models like Claude Opus.  
💻 Integrated with Kimi Code for VS Code, Cursor, and Zed, and fully compatible with OpenAI endpoints for tools like Kilo.  
📄 Office productivity is improved with better handling of LaTeX, financial models, and documents over 10,000 words.  
💾 Weights are available on Hugging Face with support for vLLM, SGLang, and native INT4 quantization.

Kimi K2.5 (Fully Tested): An Open Weights Model beats OPUS 4.5?