Qu'est-ce que Latency vs. Cost Tradeoff ?

Every LLM presents a tradeoff between latency (how fast it responds) and cost (how much it charges per token). Frontier models like GPT-4o and Claude 3.5 Sonnet are more capable but slower and more expensive. Efficient models like GPT-4o mini and Gemini 2.0 Flash are faster and cheaper but may produce lower-quality outputs on complex tasks.

The optimal choice depends on the use case: a real-time chat interface prioritizes latency, while a batch document processing pipeline can tolerate higher latency for lower cost. Reasoning models like o1 have very high latency but excel at complex multi-step problems.

GateCtr's Model Router evaluates both dimensions automatically — scoring each request for complexity and routing to the model that minimizes cost while meeting latency requirements.