I tested DeepSeek vs. o3-mini for developers: Here’s what I found.

🤖 Download the full source code here: https://brandonhancock.io/o3-mini-vs-deepseek-r1-developer-test Don’t forget to Like & Subscribe for more high-quality AI tutorials and free resources! 🎉 📆 Need help with AI development? Join my FREE AI Developer Accelerator Skool Community for weekly coaching calls and exclusive insights: 👉 https://www.skool.com/ai-developer-accelerator/about 📰 Stay Updated with My Latest Projects: 📍 LinkedIn: https://www.linkedin.com/in/brandon-hancock-ai/ 🐦 Twitter/X: https://twitter.com/bhancock_ai The AI world is moving FAST. deepseek-r1 is making waves, and OpenAI just dropped o3-mini. But which model is best for developers? I spent 24 hours stress-testing both models to see how they perform in real-world coding tasks. In this video, I break down: Performance, price, and context window—which model gives the best value? Head-to-head coding tests—building projects, adding features, and refactoring code. My personal recommendation—which model should YOU be using for your AI development workflow? Timestamps: 00:00 – Start 01:04 – Model Stats Comparison 05:08 – Test Overview 05:47 – Building App From Scratch 09:25 – o3-mini Web Test 11:58 – o3-mini Cursor Test 14:10 – deepseek-r1 Web Test 16:16 – deepseek-r1 Cursor Test 19:06 – Test #2: Add Feature to Existing App 22:07 – o3-mini Add Feature Test 26:05 – deepseek-r1 Add Feature Test 30:00 – Test #3: Refactoring Code & Generate Test 31:00 – o3-mini Refactoring Test 32:25 – deepseek-r1 Refactoring Test 35:05 – Summary & Actionable Tips 38:10 – Outro