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 model0%
Invoked-refined▲2 improved▼0 regressed●4 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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