Prove the lift · AI model performance evaluation
gpt-4o vs llama-3.1-8b
+24-point lift for gpt-4o on medical-coding-extract
Test summary
This benchmark evaluates gpt-4o against llama-3.1-8b on the medical-coding-extract v2 dataset (5 rows), scored by an LLM-as-judge (claude-haiku-4-5, run locally). gpt-4o reached a 63% pass rate versus 39% for llama-3.1-8b — a +24-point lift.
- Base model
- llama-3.1-8b
- via ollama · 39% pass rate
- Refined model
- gpt-4o
- via openai · 63% pass rate · 0.7s p95
Base pass rate
39%
Refined pass rate
63%
Refined p95
0.7s
Est. tokens saved
10.7K
+0pts
refined beats base on 5 rows
0%
Base model0%
Invoked-refined▲3 improved▼0 regressed●2 unchanged
Per-row results
1Determine the correct E/M level from a visit note100% → 100%0
2Identify a contraindication from a problem list100% → 100%0
3Extract medication + dosage from a clinical note0% → 100%+100
4Map a discharge summary to the primary ICD-10 code0% → 100%+100
5Pull the procedure code from an operative report0% → 100%+100
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