AI 3 min read

What’s the difference between GPT, Claude, and Gemini, really?

TL;DR · 15 sec

Different training datasets, different fine-tuning, different vibes. All three are mixture-of-experts transformers underneath. For most users: Claude's better at writing, GPT's better at math/code, Gemini's better at search-grounded answers.

Under the hood

All three are massive neural networks predicting next tokens. The architecture differences matter much less than people think. Same family, different siblings.

Where they actually differ

Training data composition. Reinforcement learning from human feedback shapes ‘personality.’ Tool-use plumbing differs (Gemini’s tied to Google search, Claude has Artifacts, GPT has DALL-E + Code Interpreter).

Practical

Try the same task in two of them. Pick whichever feels right. Switching costs are nearly zero. The real lock-in is your prompt library, not the model.