Prove the lift · AI model performance evaluation
claude-sonnet-5 vs claude-opus-4-6
+17-point lift for claude-sonnet-5 on medical-coding-extract
Test summary
This benchmark evaluates claude-sonnet-5 against claude-opus-4-6 on the medical-coding-extract v2 dataset (5 rows), scored by an LLM-as-judge (claude-haiku-4-5). claude-sonnet-5 reached a 77% pass rate versus 60% for claude-opus-4-6 — a +17-point lift.
- Base model
- claude-opus-4-6
- via anthropic · 60% pass rate
- Refined model
- claude-sonnet-5
- via anthropic · 77% pass rate · 0.6s p95
Base pass rate
60%
Refined pass rate
77%
Refined p95
0.6s
Est. tokens saved
3.0K
+0pts
refined beats base on 5 rows
0%
Base model0%
Invoked-refined▲4 improved▼0 regressed●1 unchanged
Per-row results
1Map a discharge summary to the primary ICD-10 code0% → 100%+100
2Extract medication + dosage from a clinical note0% → 100%+100
3Determine the correct E/M level from a visit note0% → 100%+100
4Identify a contraindication from a problem list100% → 100%0
5Pull the procedure code from an operative report0% → 100%+100
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