Prove the lift · AI model performance evaluation
claude-opus-4-6 vs mistral-large
+24-point lift for claude-opus-4-6 on medical-coding-extract
Test summary
This benchmark evaluates claude-opus-4-6 against mistral-large on the medical-coding-extract v3 dataset (5 rows), scored by an LLM-as-judge (claude-haiku-4-5). claude-opus-4-6 reached a 51% pass rate versus 27% for mistral-large — a +24-point lift.
- Base model
- mistral-large
- via mistral · 27% pass rate
- Refined model
- claude-opus-4-6
- via anthropic · 51% pass rate · 1.4s p95
Base pass rate
27%
Refined pass rate
51%
Refined p95
1.4s
Est. tokens saved
6.4K
+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
3Extract medication + dosage from a clinical note0% → 100%+100
4Determine the correct E/M level from a visit note0% → 0%0
5Map a discharge summary to the primary ICD-10 code100% → 100%0
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