How I Cut My LLM API Costs by 70% Without Touching My Code

Description and use

Cut LLM API costs by 70 % without touching code: route all requests through a gateway that selects the cheapest provider, caches responses, and uses pay‑as‑you‑go pricing.

Problem

High monthly LLM API costs due to hardcoded provider endpoints and lack of dynamic pricing awareness.

Outcome

Reduced monthly LLM API spend from ~$200 to ~$60 (68% savings) without changing application code or user experience.

Workflow

• Spin up an AI gateway locally or use a pay‑as‑you‑go service
• Configure provider pool and routing rules in YAML/JSON
• Point test environment to the gateway and run existing tests
• Swap production base URL to gateway endpoint
• Monitor logs and analytics for a week to confirm stability

Evidence

I was spending $200 a month on AI APIs. Now I'm down to $60

Source

The gateway takes my request, checks which provider currently offers the best price for that model category, and routes accordingly.

Source

The cost comparison after a full month: Provider fees $185 → $52, Gateway usage $8, Total $185 → $60

Source