Claude Solved 87% of Beginner Tasks. GPT-4o Solved 91%.
That's the headline number from 100 coding tasks designed for absolute beginners — and it's not the full story. The aggregate score flips depending on which beginner tasks you test. GPT-4o crushed string manipulation and basic data structures. Claude dominated anything requiring sustained reasoning across multiple functions or debugging broken code.
I built a test harness to run the same prompts through both models and measure correctness, not just speed or vibes. The goal: figure out which LLM a beginner should reach for when they're stuck on FreeCodeCamp, HackerRank, or their first Flask app. The results surprised me — and made me rethink how we talk about "beginner-friendly" AI.
The Test Setup: 100 Tasks, Zero Hand-Holding
I pulled 100 tasks from common beginner sources: LeetCode Easy, Python for Everybody exercises, Real Python tutorials, and actual questions from r/learnprogramming. Each task got a single prompt with:
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