Prove the lift · AI model performance evaluation

gpt-4o vs claude-sonnet-4-6

+0-point lift for gpt-4o on medical-coding-extract

Test summary

This benchmark evaluates gpt-4o against claude-sonnet-4-6 on the medical-coding-extract v2 dataset (5 rows), scored by an LLM-as-judge (gpt-4o-mini, run locally). gpt-4o reached a 34% pass rate versus 34% for claude-sonnet-4-6 — a +0-point lift.

Base model
claude-sonnet-4-6
via anthropic · 34% pass rate
Refined model
gpt-4o
via openai · 34% pass rate · 2.7s p95
Base pass rate
34%
Refined pass rate
34%
Refined p95
2.7s
Est. tokens saved
983
0pts
no measurable change
0%
Base model
0%
Invoked-refined
▲1 improved▼0 regressed●4 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
3Determine the correct E/M level from a visit note0% → 0%0
4Identify a contraindication from a problem list0% → 0%0
5Pull the procedure code from an operative report0% → 100%+100
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