Prove the lift · AI model performance evaluation

claude-sonnet-4-5 vs minimax-m3

+7-point lift for claude-sonnet-4-5 on medical-coding-extract

Test summary

This benchmark evaluates claude-sonnet-4-5 against minimax-m3 on the medical-coding-extract v2 dataset (5 rows), scored by an LLM-as-judge (gpt-4o-mini). claude-sonnet-4-5 reached a 31% pass rate versus 24% for minimax-m3 — a +7-point lift.

Base model
minimax-m3
via minimax · 24% pass rate
Refined model
claude-sonnet-4-5
via anthropic · 31% pass rate · 2.4s p95
Base pass rate
24%
Refined pass rate
31%
Refined p95
2.4s
Est. tokens saved
6.7K
+0pts
refined beats base on 5 rows
0%
Base model
0%
Invoked-refined
1 improved0 regressed4 unchanged

Per-row results

1Determine the correct E/M level from a visit note0%0%0
2Identify a contraindication from a problem list0%100%+100
3Extract medication + dosage from a clinical note100%100%0
4Map a discharge summary to the primary ICD-10 code100%100%0
5Pull the procedure code from an operative report0%0%0
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