Building Production AI Agents with Sub-1B Parameter Models
By NeoSmith AI Research Team. March 13, 2026. 15 min read.
Sub-1B parameter models (100M to 800M parameters) occupy a unique sweet spot: fast enough for real-time, cheap enough for scale, small enough for edge, and capable enough for specialized tasks when trained via distillation plus RL.
Key Takeaways
- Sub-1B models deliver 5-50ms latency and 10-100x cost savings
- Three architecture patterns: single-task, pipeline, and router plus specialist
- Continuous retraining from production traces is essential for long-term quality