Prove the lift · AI model performance evaluation
deepseek-r1 vs llama-3.1-405b
+21-point lift for deepseek-r1 on medical-coding-extract
Test summary
This benchmark evaluates deepseek-r1 against llama-3.1-405b on the medical-coding-extract v2 dataset (5 rows), scored by an LLM-as-judge (llama-3.1-8b). deepseek-r1 reached a 76% pass rate versus 55% for llama-3.1-405b — a +21-point lift.
- Base model
- llama-3.1-405b
- via meta · 55% pass rate
- Refined model
- deepseek-r1
- via deepseek · 76% pass rate · 3.1s p95
Base pass rate
55%
Refined pass rate
76%
Refined p95
3.1s
Est. tokens saved
9.1K
+0pts
refined beats base on 5 rows
0%
Base model0%
Invoked-refined▲5 improved▼0 regressed●0 unchanged
Per-row results
1Determine the correct E/M level from a visit note0% → 100%+100
2Pull the procedure code from an operative report0% → 100%+100
3Extract medication + dosage from a clinical note0% → 100%+100
4Map a discharge summary to the primary ICD-10 code0% → 100%+100
5Identify a contraindication from a problem list0% → 100%+100
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