Prove the lift · AI model performance evaluation

claude-opus-4-8 vs claude-opus-4-6

+1-point lift for claude-opus-4-8 on medical-coding-extract

Test summary

This benchmark evaluates claude-opus-4-8 against claude-opus-4-6 on the medical-coding-extract v2 dataset (5 rows), scored by an LLM-as-judge (gpt-4o-mini). claude-opus-4-8 reached a 46% pass rate versus 45% for claude-opus-4-6 — a +1-point lift.

Base model
claude-opus-4-6
via anthropic · 45% pass rate
Refined model
claude-opus-4-8
via anthropic · 46% pass rate · 1.8s p95
Base pass rate
45%
Refined pass rate
46%
Refined p95
1.8s
Est. tokens saved
1.6K
+0pts
refined beats base on 5 rows
0%
Base model
0%
Invoked-refined
3 improved1 regressed1 unchanged

Per-row results

1Determine the correct E/M level from a visit note0%100%+100
2Extract medication + dosage from a clinical note100%0%-100
3Map a discharge summary to the primary ICD-10 code0%100%+100
4Pull the procedure code from an operative report0%100%+100
5Identify a contraindication from a problem list100%100%0
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