Prove the lift · AI model performance evaluation

gemini-1.5-pro vs gpt-4o-mini

+18-point lift for gemini-1.5-pro on insurance-extraction-eval

Test summary

This benchmark evaluates gemini-1.5-pro against gpt-4o-mini on the insurance-extraction-eval v2 dataset (5 rows), scored by an LLM-as-judge (llama-3.1-8b). gemini-1.5-pro reached a 69% pass rate versus 51% for gpt-4o-mini — a +18-point lift.

Base model
gpt-4o-mini
via openai · 51% pass rate
Refined model
gemini-1.5-pro
via google · 69% pass rate · 0.7s p95
Base pass rate
51%
Refined pass rate
69%
Refined p95
0.7s
Est. tokens saved
1.3K
+0pts
refined beats base on 5 rows
0%
Base model
0%
Invoked-refined
1 improved0 regressed4 unchanged

Per-row results

1Business-interruption period-of-restoration calculation100%100%0
2Aggregate deductible across a loss sequence under a per-occurrence + annual cap0%100%+100
3Replacement cost vs ACV on a depreciated roof100%100%0
4Coinsurance 80% clause recovery on an under-insured building100%100%0
5Suit-limitation clause: is a late-filed claim contractually barred?100%100%0
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