Dev Tools · 1h ago
Optimize LLM Costs and Latency in Production
Adding an LLM to a product is easy in demo but costly in production. Output tokens are pricier than input, so constraining output length cuts both cost and latency. Caching, routing to cheaper models, and streaming responses further reduce expenses and improve user experience.
Meridian48 take
The advice is solid but basic; experienced teams will already know these levers, though the caching and routing tips are worth a reminder.
Read the full reporting
How to Put an LLM in Your Product Without Wrecking Your Costs or Your Latency →
DEV Community
llm-optimizationcost-latency