Prove the lift · AI model performance evaluation

gpt-4.1-mini vs gpt-oss-20b

+21-point lift for gpt-4.1-mini on medical-coding-extract

Test summary

This benchmark evaluates gpt-4.1-mini against gpt-oss-20b on the medical-coding-extract v2 dataset (5 rows), scored by an LLM-as-judge (gpt-4o-mini). gpt-4.1-mini reached a 58% pass rate versus 37% for gpt-oss-20b — a +21-point lift.

Base model
gpt-oss-20b
via openai · 37% pass rate
Refined model
gpt-4.1-mini
via openai · 58% pass rate · 1.9s p95
Base pass rate
37%
Refined pass rate
58%
Refined p95
1.9s
Est. tokens saved
2.3K
+0pts
refined beats base on 5 rows
0%
Base model
0%
Invoked-refined
2 improved0 regressed3 unchanged

Per-row results

1Map a discharge summary to the primary ICD-10 code100%100%0
2Extract medication + dosage from a clinical note100%100%0
3Pull the procedure code from an operative report100%100%0
4Determine the correct E/M level from a visit note0%100%+100
5Identify a contraindication from a problem list0%100%+100
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