Prove the lift · AI model performance evaluation
o4-mini vs claude-3-5-haiku
+21-point lift for o4-mini on insurance-extraction-eval
Test summary
This benchmark evaluates o4-mini against claude-3-5-haiku on the insurance-extraction-eval v2 dataset (8 rows), scored by an LLM-as-judge (claude-haiku-4-5). o4-mini reached a 56% pass rate versus 35% for claude-3-5-haiku — a +21-point lift.
- Base model
- claude-3-5-haiku
- via anthropic · 35% pass rate
- Refined model
- o4-mini
- via openai · 56% pass rate · 2.1s p95
Base pass rate
35%
Refined pass rate
56%
Refined p95
2.1s
Est. tokens saved
930
+0pts
refined beats base on 8 rows
0%
Base model0%
Invoked-refined▲6 improved▼0 regressed●2 unchanged
Per-row results
1Named-peril coverage determination under a basic HO form100% → 100%0
2Aggregate deductible across a loss sequence under a per-occurrence + annual cap0% → 100%+100
3Pro-rata distribution across layered carriers on a covered loss0% → 100%+100
4Business-interruption period-of-restoration calculation0% → 100%+100
5Subrogation waiver interaction with additional-insured status0% → 100%+100
6Coinsurance 80% clause recovery on an under-insured building0% → 100%+100
7Suit-limitation clause: is a late-filed claim contractually barred?100% → 100%0
8Replacement cost vs ACV on a depreciated roof0% → 100%+100
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