Comparison
ARC-AGI vs MMLU
ARC-AGI and MMLU are both common AI/LLM terms but cover different ideas. Here is a quick side-by-side.
When you would reach for ARC-AGI
ARC-AGI comes up when the question is fundamentally about evaluation.
A grid puzzle where you must learn a transformation from 3 examples and apply it to a new grid.
When you would reach for MMLU
MMLU comes up when the question is fundamentally about evaluation.
GPT-4: 86.4% MMLU (5-shot, original release).
Frequently asked
What is the difference between ARC-AGI and MMLU?
ARC-AGI: ARC-AGI (Abstraction and Reasoning Corpus) is a benchmark of grid-puzzle tasks designed to require fluid reasoning rather than memorization. Humans score 85%; models stayed below 5% for years. MMLU: MMLU is a benchmark of ~16K multiple-choice questions across 57 subjects from elementary to professional. It is one of the most widely cited LLM benchmarks.
When should I use ARC-AGI vs MMLU?
ARC-AGI is the right concept when you are focused on evaluation. MMLU applies when you are focused on evaluation.
Are ARC-AGI and MMLU the same thing?
No. ARC-AGI is evaluation; MMLU is evaluation. They are related but address different parts of the AI stack.