Word problems are how we measure reasoning
GSM8K (Grade School Math 8K) is 8,500 grade-school math word problems requiring 2-8 reasoning steps to solve. Released by OpenAI in 2021, it became the canonical "does this model reason?" benchmark.
What GSM8K tests
- Multi-step arithmetic in natural language.
- Reading comprehension under quantitative constraints.
- Robustness to irrelevant information ("Tom buys 3 apples and goes to the park...").
- Chain-of-thought reasoning — historically a major win factor.
The chain-of-thought story
GSM8K is where the chain-of-thought (CoT) trick was popularized. Models that scored 17% accuracy direct-answering scored 50%+ when prompted to think step-by-step before answering. CoT is now baked into most modern models via training; explicit CoT prompts matter less than they used to.
Principle: GSM8K is for measuring multi-step reasoning. If your product needs reasoning, this benchmark is more relevant than MMLU.
Saturation and follow-ups
GSM8K is now ~90%+ on frontier models. The community moved to:
- MATH — competition-level math problems, much harder than grade school.
- AIME / HMMT — actual high school math competitions.
- GSM-Hard — adversarial GSM8K with larger numbers and trickier wording.
- FrontierMath (2024) — research-mathematician-level problems where 2025 frontier models still score <5%.