Prove the lift · AI model performance evaluation

claude-opus-4-6 vs gpt-4o

+14-point lift for claude-opus-4-6 on insurance-extraction-eval

Test summary

This benchmark evaluates claude-opus-4-6 against gpt-4o on the insurance-extraction-eval v1 dataset (5 rows), scored by an LLM-as-judge (claude-haiku-4-5). claude-opus-4-6 reached a 39% pass rate versus 25% for gpt-4o — a +14-point lift.

Base model
gpt-4o
via openai · 25% pass rate
Refined model
claude-opus-4-6
via anthropic · 39% pass rate · 1.1s p95
Base pass rate
25%
Refined pass rate
39%
Refined p95
1.1s
Est. tokens saved
2.2K
+0pts
refined beats base on 5 rows
0%
Base model
0%
Invoked-refined
▲0 improved▼0 regressed●5 unchanged

Per-row results

1Aggregate deductible across a loss sequence under a per-occurrence + annual cap100% → 100%0
2Coinsurance 80% clause recovery on an under-insured building100% → 100%0
3Suit-limitation clause: is a late-filed claim contractually barred?0% → 0%0
4Business-interruption period-of-restoration calculation0% → 0%0
5Pro-rata distribution across layered carriers on a covered loss100% → 100%0
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