Model Routing and Cascades: Cut LLM Spend Without Losing Quality

1Key Takeaways

• Originally published on AI Tech Connect .
• Why routing is the biggest lever you have Every cost-reduction technique for LLM workloads sits somewhere on a spectrum of effort against return.
• Prompt caching is cheap to enable and saves on repeated prefixes.
• Compression trims tokens at the margin — we covered the mechanics in our guide to prompt compression in production.