Prove the lift · AI model performance evaluation
gemini-2.5-pro vs claude-opus-4-8
+18-point lift for gemini-2.5-pro on medical-coding-extract
Test summary
This benchmark evaluates gemini-2.5-pro against claude-opus-4-8 on the medical-coding-extract v2 dataset (5 rows), scored by an LLM-as-judge (gpt-4o-mini). gemini-2.5-pro reached a 62% pass rate versus 44% for claude-opus-4-8 — a +18-point lift.
- Base model
- claude-opus-4-8
- via anthropic · 44% pass rate
- Refined model
- gemini-2.5-pro
- via google · 62% pass rate · 1.9s p95
Base pass rate
44%
Refined pass rate
62%
Refined p95
1.9s
Est. tokens saved
8.0K
+0pts
refined beats base on 5 rows
0%
Base model0%
Invoked-refined▲0 improved▼0 regressed●5 unchanged
Per-row results
1Pull the procedure code from an operative report100% → 100%0
2Extract medication + dosage from a clinical note100% → 100%0
3Determine the correct E/M level from a visit note100% → 100%0
4Identify a contraindication from a problem list0% → 0%0
5Map a discharge summary to the primary ICD-10 code0% → 0%0
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