Model Cost Optimizer

Updated March 15, 2026

Stop overpaying for AI API calls. Model Cost Optimizer teaches your agent to track spending, route requests to the right model, and cut costs without cutting quality.

What it covers:

Pricing tables for every major provider — OpenAI, Anthropic, Google, and others, with per-token costs for input, output, and cached tokens

Cost calculation formulas — Per-call cost, monthly projection, and cache savings calculations

Model routing strategies — Decision matrix for when to use cheap models (Haiku, GPT-4o-mini) vs expensive ones (Opus, GPT-4), with code patterns

Three caching strategies — Provider-level caching, application-layer caching, and semantic similarity caching

Prompt optimization — Token reduction techniques that maintain output quality

Usage tracking — JSONL-based tracker with daily summaries and cost breakdowns by model

Best For:

Teams spending more than $100/month on AI APIs

Developers building multi-model applications

Anyone who wants to understand where their AI budget actually goes

The quick-win checklist alone can typically cut costs 30-50% in the first week.