Prove the lift · AI model performance evaluation
gpt-4o vs claude-sonnet-4-6
+14-point lift for gpt-4o on insurance-extraction-eval
Test summary
This benchmark evaluates gpt-4o against claude-sonnet-4-6 on the insurance-extraction-eval v1 dataset (7 rows), scored by an LLM-as-judge (claude-haiku-4-5). gpt-4o reached a 49% pass rate versus 35% for claude-sonnet-4-6 — a +14-point lift.
- Base model
- claude-sonnet-4-6
- via anthropic · 35% pass rate
- Refined model
- gpt-4o
- via openai · 49% pass rate · 0.9s p95
Base pass rate
35%
Refined pass rate
49%
Refined p95
0.9s
Est. tokens saved
2.6K
+0pts
refined beats base on 7 rows
0%
Base model0%
Invoked-refined▲2 improved▼0 regressed●5 unchanged
Per-row results
1Business-interruption period-of-restoration calculation0% → 100%+100
2Subrogation waiver interaction with additional-insured status0% → 0%0
3Named-peril coverage determination under a basic HO form0% → 100%+100
4Replacement cost vs ACV on a depreciated roof100% → 100%0
5Pro-rata distribution across layered carriers on a covered loss0% → 0%0
6Suit-limitation clause: is a late-filed claim contractually barred?0% → 0%0
7Coinsurance 80% clause recovery on an under-insured building100% → 100%0
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