The latest articles on DEV Community by Nick Vas (@nickvas). https://dev.to/nickvas https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F68238%2Fc8ba388d-384d-4906-a06c-f2649b7d4a60.png https://dev.to/nickvas en Nick Vas Thu, 06 Nov 2025 12:32:46 +0000 https://dev.to/nickvas/why-your-llm-serving-costs-are-3x-higher-than-they-should-be-1iln https://dev.to/nickvas/why-your-llm-serving-costs-are-3x-higher-than-they-should-be-1iln <p>Your LLM token bill just exploded 3X. Again.</p> <p>You’re not alone. I’ve watched teams burn through $50k/month on LLM inference costs that could’ve been $15k, if they’d known these 5 strategies.</p> <p>The brutal truth? Most of your token spend is waste. You’re:</p> <p>Shipping entire codebases when you need 3 functions</p> <p>Paying to remind the LLM of its job 1,000+ times daily</p> <p>Running LLMs for tasks a regex could handle in milliseconds</p> <p>After optimizing production LLM systems and working with teams in the field, I’ve identified the exact patterns that slash costs without cutting features.</p> <p>The 5 strategies that cut our costs by 60%:</p> <ul> <li>⚡ Targeted context retrieval (dependency graphs &gt; full docs)</li> <li>🎯 System prompt optimization (38% token reduction)</li> <li>🧪 A/B testing prompts like code</li> <li>💾 Smart caching + batching (avoid my serverless disaster)</li> <li>🔍 Ruthless LLM necessity audits</li> </ul> <p><a href="https://nickvas.com/blog/reduce-llm-serving-costs-production" rel="noopener noreferrer">Read the full breakdown with step-by-step implementation guides →</a></p> <p>If you’re shipping production AI, this will save you thousands. Possibly tens of thousands.</p> ai llm