Prove the lift · AI model performance evaluation

claude-opus-4-6 vs gemini-3-pro

-1-point lift for claude-opus-4-6 on insurance-extraction-eval

Test summary

This benchmark evaluates claude-opus-4-6 against gemini-3-pro on the insurance-extraction-eval v3 dataset (6 rows), scored by an LLM-as-judge (claude-haiku-4-5). claude-opus-4-6 reached a 39% pass rate versus 40% for gemini-3-pro — a -1-point lift.

Base model
gemini-3-pro
via google · 40% pass rate
Refined model
claude-opus-4-6
via anthropic · 39% pass rate · 2.3s p95
Base pass rate
40%
Refined pass rate
39%
Refined p95
2.3s
Est. tokens saved
0pts
no lift — the base model held its ground
0%
Base model
0%
Invoked-refined
2 improved0 regressed4 unchanged

Per-row results

1Aggregate deductible across a loss sequence under a per-occurrence + annual cap100%100%0
2Replacement cost vs ACV on a depreciated roof0%100%+100
3Coinsurance 80% clause recovery on an under-insured building100%100%0
4Subrogation waiver interaction with additional-insured status0%0%0
5Business-interruption period-of-restoration calculation0%100%+100
6Named-peril coverage determination under a basic HO form0%0%0
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