{"title": "Bending the Cost Curve: How I Slashed My LLM Inference Bill by 70% Wh
python
dev.to
"body": "I’ve been wrestling with the economics of serving large language models in production, and I finally landed on a setup that feels like cheating. Sharing this because I know a lot of you are fighting the same battle between quality and cost, especially with the newer generation of reasoning-heavy models.\n\nI recently started migrating our backend pipelines to DeepSeek-V4-Pro, and the result dropped our per-token costs massively without sacrificing the chain-of-thought quality we need fo