18 August 2026
Smaller AI models match larger ones through internal reasoning
- A 150-million-parameter model (tiny by current standards) solved complex reasoning tasks at a fraction of the cost by using internal working memory, similar to how humans think through problems step-by-step.
- OpenAI's GPT-5.6 Sol improved on the same reasoning benchmark from 13.3% to 38.3% accuracy while using six times fewer tokens (input text), showing efficiency gains across model sizes.
