Model Routing

An in-depth look at GPT-5.5's performance metrics, hidden hallucination risks, and why a multi-model approach using Claude and OpenAI is essential for modern AI agents.

Learn how to slash your LLM API spend by implementing a tiered model routing architecture, moving simple tasks to local models while reserving frontier models for complex reasoning.

Using frontier models like GPT-4o for every task is a massive budget leak. Learn how to implement a 5-node decision tree to route tasks based on reasoning depth, latency, and cost, reducing expenses by up to 80% without sacrificing accuracy.

Learn how to slash your LLM API bills by 40% without sacrificing quality by implementing a tiered model routing strategy using DeepSeek, Gemini, and Claude.

A deep dive into cost-performance optimization for AI agents in 2026, comparing the Claude 4.6 family and GPT-5 with a focus on intelligent routing strategies.