Frontier Models Teaching Smaller Models Trend 2026

Smaller AI models gain advanced reasoning and efficiency by learning from larger, frontier systems. This process distills complex capabilities—like nuanced coding or long-context understanding—into compact, cost-effective versions. Startups, researchers, and developers benefit most, deploying these distilled models for real-time applications or on-device processing without massive infrastructure costs, while retaining high performance.