Prove the lift · AI model performance evaluation
claude-opus-4-8 vs claude-opus-4-6
-10-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 (claude-haiku-4-5). claude-opus-4-8 reached a 45% pass rate versus 55% for claude-opus-4-6 — a -10-point lift.
- Base model
- claude-opus-4-6
- via anthropic · 55% pass rate
- Refined model
- claude-opus-4-8
- via anthropic · 45% pass rate · 1.9s p95
Base pass rate
55%
Refined pass rate
45%
Refined p95
1.9s
Est. tokens saved
—
−0pts
no lift — the base model held its ground
0%
Base model0%
Invoked-refined▲2 improved▼1 regressed●2 unchanged
Per-row results
1Determine the correct E/M level from a visit note100% → 0%-100
2Pull the procedure code from an operative report0% → 100%+100
3Extract medication + dosage from a clinical note0% → 0%0
4Map a discharge summary to the primary ICD-10 code0% → 100%+100
5Identify a contraindication from a problem list100% → 100%0
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