While headlines focus on ever-larger AI models, a parallel trend has quietly grown: smaller, highly efficient models built to run fast and cheap rather than to be maximally capable.
Why Smaller Sometimes Wins
- Can run directly on a phone or laptop without needing a cloud connection
- Far cheaper to run at scale for simple, repetitive tasks
- Faster response times for real-time applications
Where They're Used
Simple classification tasks, on-device features, and applications where speed matters more than handling complex reasoning are increasingly served by these smaller models.
The Bigger Trend
Rather than one model doing everything, more products now mix several models of different sizes depending on the specific task.