This is a submission for the Kaggle Benchmarking Challenge
What I Benchmarked
Everyone says their AI explains things best. I wanted real data.
I built a benchmark with 8 test prompts asking models to explain complex topics simply recursion, photosynthesis, cryptocurrency, machine learning, and more. The goal: find out which AI is actually the clearest teacher for beginners.
This matters because if you're a student, teacher, or self-learner, picking the wrong AI assistant could mean getting a confusing wall of text instead of a clear answer.
Models Tested
- GPT-5.5 — OpenAI's latest, known for strong instruction following
- Claude Sonnet 4.6 — Anthropic's model, known for thoughtful responses
- Gemini 3.7 Flash — Google's fast and efficient model
Findings
| Model | Score |
|---|---|
| 🏆 GPT-5.5 | 76.3% |
| Claude Sonnet 4.6 | 38.8% |
| Gemini 3.7 Flash | 38.8% |
I was genuinely shocked. GPT-5.5 almost doubled Claude and Gemini's scores.
My scoring rewarded responses between 50-200 words — concise enough to be clear, detailed enough to be useful. GPT-5.5 consistently hit that sweet spot. Claude and Gemini tended to over-explain, writing long responses that would overwhelm a beginner.
The lesson? More words doesn't mean better explanation. GPT-5.5 understood the assignment keep it simple.
What I'd measure next: Have real beginners rate the clarity themselves, not just word count. Human judgment might tell a different story.
My Benchmark
👉 https://www.kaggle.com/benchmarks/michaelomijiemkings/who-explains-things-clearest
kagglechallenge
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