Prove the lift · AI model performance evaluation
claude-haiku-4-5 vs gemini-1.5-flash
+18-point lift for claude-haiku-4-5 on insurance-extraction-eval
Test summary
This benchmark evaluates claude-haiku-4-5 against gemini-1.5-flash on the insurance-extraction-eval v2 dataset (8 rows), scored by an LLM-as-judge (llama-3.1-8b). claude-haiku-4-5 reached a 72% pass rate versus 54% for gemini-1.5-flash — a +18-point lift.
- Base model
- gemini-1.5-flash
- via google · 54% pass rate
- Refined model
- claude-haiku-4-5
- via anthropic · 72% pass rate · 1.2s p95
Base pass rate
54%
Refined pass rate
72%
Refined p95
1.2s
Est. tokens saved
12.6K
+0pts
refined beats base on 8 rows
0%
Base model0%
Invoked-refined▲6 improved▼0 regressed●2 unchanged
Per-row results
1Aggregate deductible across a loss sequence under a per-occurrence + annual cap0% → 100%+100
2Coinsurance 80% clause recovery on an under-insured building0% → 100%+100
3Subrogation waiver interaction with additional-insured status0% → 0%0
4Business-interruption period-of-restoration calculation100% → 100%0
5Replacement cost vs ACV on a depreciated roof0% → 100%+100
6Named-peril coverage determination under a basic HO form0% → 100%+100
7Suit-limitation clause: is a late-filed claim contractually barred?0% → 100%+100
8Pro-rata distribution across layered carriers on a covered loss0% → 100%+100
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