Model pricing breakdown: input vs output costs
Prompt caching cuts call costs by 90%. Learn to audit token pricing, context limits, and retry rates to stop bleeding margin on inefficient models.
Prompt caching cuts call costs by 90%. Learn to audit token pricing, context limits, and retry rates to stop bleeding margin on inefficient models.
A single coding agent session on Claude Opus 4.6 can burn through $7 if it makes 200 API calls. This isn't a bug; it's the math of agentic systems.
LLM output costs span a 107x range. Learn how strategic routing balances GPT5.5 accuracy against financial constraints in production.
Analyze 2026 LLM API pricing across 305 models. See how input costs range from $0.44 to $30 per million tokens and optimize your spend.
A support bot generated a $14,000 bill answering 30 questions. Learn how model routing and caching cut API spend by 70% without quality loss.