Prove the lift · AI model performance evaluation
claude-sonnet-4-6 vs gpt-4o-mini
+27-point lift for claude-sonnet-4-6 on medical-coding-extract
Test summary
This benchmark evaluates claude-sonnet-4-6 against gpt-4o-mini on the medical-coding-extract v3 dataset (5 rows), scored by an LLM-as-judge (llama-3.1-8b, run locally). claude-sonnet-4-6 reached a 61% pass rate versus 34% for gpt-4o-mini — a +27-point lift.
- Base model
- gpt-4o-mini
- via openai · 34% pass rate
- Refined model
- claude-sonnet-4-6
- via anthropic · 61% pass rate · 3.3s p95
Base pass rate
34%
Refined pass rate
61%
Refined p95
3.3s
Est. tokens saved
13.5K
+0pts
refined beats base on 5 rows
0%
Base model0%
Invoked-refined▲2 improved▼0 regressed●3 unchanged
Per-row results
1Identify a contraindication from a problem list100% → 100%0
2Pull the procedure code from an operative report0% → 100%+100
3Determine the correct E/M level from a visit note100% → 100%0
4Extract medication + dosage from a clinical note0% → 100%+100
5Map a discharge summary to the primary ICD-10 code0% → 0%0
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