Prove the lift · AI model performance evaluation
gpt-4-turbo vs mistral-large
+14-point lift for gpt-4-turbo on medical-coding-extract
Test summary
This benchmark evaluates gpt-4-turbo against mistral-large on the medical-coding-extract v3 dataset (5 rows), scored by an LLM-as-judge (claude-haiku-4-5). gpt-4-turbo reached a 76% pass rate versus 62% for mistral-large — a +14-point lift.
- Base model
- mistral-large
- via mistral · 62% pass rate
- Refined model
- gpt-4-turbo
- via openai · 76% pass rate · 2.9s p95
Base pass rate
62%
Refined pass rate
76%
Refined p95
2.9s
Est. tokens saved
5.2K
+0pts
refined beats base on 5 rows
0%
Base model0%
Invoked-refined▲0 improved▼0 regressed●5 unchanged
Per-row results
1Map a discharge summary to the primary ICD-10 code100% → 100%0
2Pull the procedure code from an operative report100% → 100%0
3Extract medication + dosage from a clinical note100% → 100%0
4Identify a contraindication from a problem list100% → 100%0
5Determine the correct E/M level from a visit note100% → 100%0
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