How I Cut My Claude API Bill by 60% Without Switching Models

I was staring at my Claude API dashboard, watching the numbers climb higher than my rent. Again.

Every month, I'd promise myself I'd be more careful. "This time, I'll optimize." Every month, the bill arrived anyway.

Then I found NadirClaw.

The setup took three days. Configuration files, routing logic, debugging. I almost quit twice. Worth it.

Here's how I split my workload:

Tier 1 (High-priority): Claude Haiku and GPT-4o. These handle client-facing code reviews, anything that touches production, and complex reasoning tasks. The stuff where a wrong answer costs more than the API call.

Tier 2 (Medium): GPT-4o mini and Claude Sonnet. Internal documentation, refactoring suggestions, test generation for non-critical paths. Good enough is good enough here.

Tier 3 (Low-priority): Local LLaMA 3.1 8B. Log parsing, boilerplate generation, formatting. Tasks where I just need pattern matching, not intelligence.

My first real test: a 2,000-line codebase analysis. Claude alone would've charged me $45. NadirClaw routed the heavy lifting to cheaper models, kept Claude for the parts that needed it. Final cost: $18. Same output.

The breakthrough was simple. I was paying premium prices for tasks that didn't need premium models. Documentation generation doesn't need Claude's reasoning. Test boilerplate doesn't need GPT-4o's creativity. I was burning money on autopilot.

Three weeks in, my monthly bill dropped from $320 to $128.

Here's the routing config:

high_priority:
  - claude-opus-4-6
  - gpt-4o
medium_priority:
  - claude-sonnet-4-6
  - gpt-4o-mini
low_priority:
  - llama-3.3-70b
  - local-llama

I still use Claude for the things that matter. Complex reasoning, creative work, client deliverables. But now I'm not paying Claude prices for grunt work.

If you're spending more than $200/month on API calls, you're probably overpaying by 40-60%. Most of your requests don't need your best model. They need a model that works.

NadirClaw isn't magic. It's a router. It just made me realize I was solving the wrong problem.

$320 to $128. Sixty percent down. Project still alive.