4 posts
Inference is now 55-80% of AI cost. Model routing, caching, quantization, and the metric that matters: cost-per-successful-output. An LLM FinOps framework and the Turkey FX context.
Token prices dropped 80% but bills grow. How to control cost with routing, caching, batching, and prompt discipline — plus a CFO-ready FinOps framework.
Cutting LLM costs 38-68% with semantic caching, model tiering, and token telemetry. The practical TokenOps playbook and observability stack.
How token optimization, model routing and semantic caching cut cost. In LLMOps, cost is now a first-class metric.