Published
AutoMix
BymeAI Team
Automatic model mixing — combines outputs from multiple LLMs based on query complexity.
Overview
AutoMix automatically determines when to use a single model versus when to blend outputs from multiple LLMs, optimizing for the cost-quality tradeoff based on query complexity.
How It Works
For simple queries, AutoMix uses a fast, cheap model. For complex queries, it combines outputs from multiple models — weighting them by confidence or using ensemble techniques — to produce a superior result.
Strategy
Automatically mixes outputs from multiple LLMs based on query complexity.
API Endpoint
autoroute:automix
Use Cases
- When you want to combine strengths of multiple models
- Variable-complexity workloads
- Cost-sensitive production deployments
Best Practices
Complexity Threshold
The complexity threshold is the key hyperparameter. Monitor the cost-quality Pareto frontier and tune the threshold to match your business objectives.
Related Models
- Hybrid LLM — For combining multiple routing strategies
- Smallest LLM — For pure cost optimization