Technology & AI
What is Multi-LLM (Model Routing)?
Multi-LLM is the strategy of using multiple models (Claude, GPT, Gemini) in one product, routing each task to the best model for that type.
Each LLM has distinct strengths: Claude excels at long writing and nuanced reasoning; GPT-4o at code and tools; Gemini at huge context and multimodal. Betting on just one ties you to a limitation.
Multi-LLM requires a router (decides which model) and fallback (if one fails, another answers). Reduces cost (smaller models for simple tasks) and eliminates single point of failure.
Use it in practice
AbstractOS Multi-LLM
Frequently asked questions
Does multi-LLM increase cost?
Done well, it REDUCES: cheap model handles simple task; expensive only for complex. Smart routing saves 50-80%.
How to decide which model to use?
Start by testing 2-3 critical prompts on each model, measure quality vs cost, and route by task category.