Why I Stopped Using LLM-as-a-Judge (And What I Use Instead)
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Six months ago I was running evals on a coding Q&A dataset and my OpenAI bill hit $47 before I finished my test run. I wasn't doing anything exotic — just asking GPT-4 to score 500 model responses on a rubric. That's the hidden cost of LLM-as-a-Judge: every evaluation call is itself an API call, which means the more you evaluate, the more you pay. I spent a weekend building an alternative. The idea was simple: train a local binary classifier using Sentence Transformers and logistic…
1Key Takeaways
- Six months ago I was running evals on a coding Q&A dataset and my OpenAI bill hit $47 before I finished my test run.
- I wasn't doing anything exotic — just asking GPT-4 to score 500 model responses on a rubric.
- That's the hidden cost of LLM-as-a-Judge: every evaluation call is itself an API call, which means the more you evaluate, the more you pay.
- I spent a weekend building an alternative.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that six months ago I was running evals on a coding Q&A dataset and my OpenAI bill hit $47 before I finished my test run.
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