Published
Smallest LLM Router
BymeAI Team
Baseline strategy that always routes to the smallest available model — maximum cost efficiency and minimal latency.
Overview
The Smallest LLM Router is a simple baseline strategy that always routes to the smallest available model, prioritizing cost efficiency and low latency above all else.
How It Works
At routing time, the system selects the model with the smallest parameter count from the available pool. No query analysis, no learning — pure cost optimization.
Strategy
Baseline that always routes to the smallest available model.
API Endpoint
autoroute:smallest_llm
Use Cases
- Cost optimization — minimize per-query spend
- When you want minimal latency
- Baseline for comparing more sophisticated strategies
- Batch processing where quality is secondary
Best Practices
When to Use
Use Smallest LLM as your cost floor baseline. Compare the quality degradation against cost savings to determine whether a more sophisticated router is worthwhile for your use case.
Related Models
- Largest LLM — The opposite extreme for maximum quality
- AutoMix — A smarter approach to the cost-quality tradeoff