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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
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