Prove the lift · AI model performance evaluation
claude-haiku-4-5 vs mixtral-8x7b
+17-point lift for claude-haiku-4-5 on medical-coding-extract
Test summary
This benchmark evaluates claude-haiku-4-5 against mixtral-8x7b on the medical-coding-extract v2 dataset (5 rows), scored by an LLM-as-judge (llama-3.1-8b). claude-haiku-4-5 reached a 40% pass rate versus 23% for mixtral-8x7b — a +17-point lift.
- Base model
- mixtral-8x7b
- via mistral · 23% pass rate
- Refined model
- claude-haiku-4-5
- via anthropic · 40% pass rate · 3.0s p95
Base pass rate
23%
Refined pass rate
40%
Refined p95
3.0s
Est. tokens saved
4.0K
+0pts
refined beats base on 5 rows
0%
Base model0%
Invoked-refined▲1 improved▼1 regressed●3 unchanged
Per-row results
1Map a discharge summary to the primary ICD-10 code100% → 0%-100
2Determine the correct E/M level from a visit note0% → 100%+100
3Pull the procedure code from an operative report0% → 0%0
4Identify a contraindication from a problem list0% → 0%0
5Extract medication + dosage from a clinical note0% → 0%0
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