Prove the lift · AI model performance evaluation

claude-sonnet-4-6 vs gemini-1.5-flash

+22-point lift for claude-sonnet-4-6 on medical-coding-extract

Test summary

This benchmark evaluates claude-sonnet-4-6 against gemini-1.5-flash on the medical-coding-extract v2 dataset (5 rows), scored by an LLM-as-judge (gpt-4o-mini, run locally). claude-sonnet-4-6 reached a 62% pass rate versus 40% for gemini-1.5-flash — a +22-point lift.

Base model
gemini-1.5-flash
via google · 40% pass rate
Refined model
claude-sonnet-4-6
via anthropic · 62% pass rate · 1.6s p95
Base pass rate
40%
Refined pass rate
62%
Refined p95
1.6s
Est. tokens saved
3.7K
+0pts
refined beats base on 5 rows
0%
Base model
0%
Invoked-refined
2 improved0 regressed3 unchanged

Per-row results

1Identify a contraindication from a problem list100%100%0
2Determine the correct E/M level from a visit note100%100%0
3Extract medication + dosage from a clinical note100%100%0
4Map a discharge summary to the primary ICD-10 code0%100%+100
5Pull the procedure code from an operative report0%100%+100
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