Prove the lift · AI model performance evaluation
mistral-large vs gpt-4-turbo
+21-point lift for mistral-large on medical-coding-extract
Test summary
This benchmark evaluates mistral-large against gpt-4-turbo on the medical-coding-extract v1 dataset (5 rows), scored by an LLM-as-judge (claude-haiku-4-5). mistral-large reached a 70% pass rate versus 49% for gpt-4-turbo — a +21-point lift.
- Base model
- gpt-4-turbo
- via openai · 49% pass rate
- Refined model
- mistral-large
- via mistral · 70% pass rate · 0.8s p95
Base pass rate
49%
Refined pass rate
70%
Refined p95
0.8s
Est. tokens saved
4.1K
+0pts
refined beats base on 5 rows
0%
Base model0%
Invoked-refined▲2 improved▼0 regressed●3 unchanged
Per-row results
1Pull the procedure code from an operative report0% → 100%+100
2Identify a contraindication from a problem list100% → 100%0
3Determine the correct E/M level from a visit note100% → 100%0
4Extract medication + dosage from a clinical note0% → 100%+100
5Map a discharge summary to the primary ICD-10 code100% → 100%0
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