Prove the lift · AI model performance evaluation
mistral-large vs llama-3.1-70b
+7-point lift for mistral-large on medical-coding-extract
Test summary
This benchmark evaluates mistral-large against llama-3.1-70b on the medical-coding-extract v1 dataset (5 rows), scored by an LLM-as-judge (llama-3.1-8b). mistral-large reached a 47% pass rate versus 40% for llama-3.1-70b — a +7-point lift.
- Base model
- llama-3.1-70b
- via ollama · 40% pass rate
- Refined model
- mistral-large
- via mistral · 47% pass rate · 1.8s p95
Base pass rate
40%
Refined pass rate
47%
Refined p95
1.8s
Est. tokens saved
9.9K
+0pts
refined beats base on 5 rows
0%
Base model0%
Invoked-refined▲2 improved▼1 regressed●2 unchanged
Per-row results
1Identify a contraindication from a problem list100% → 0%-100
2Determine the correct E/M level from a visit note100% → 100%0
3Extract medication + dosage from a clinical note0% → 0%0
4Pull the procedure code from an operative report0% → 100%+100
5Map a discharge summary to the primary ICD-10 code0% → 100%+100
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