Prove the lift · AI model performance evaluation

claude-opus-4-6 vs claude-opus-4-8

+18-point lift for claude-opus-4-6 on insurance-extraction-eval

Test summary

This benchmark evaluates claude-opus-4-6 against claude-opus-4-8 on the insurance-extraction-eval v3 dataset (7 rows), scored by an LLM-as-judge (gpt-4o-mini). claude-opus-4-6 reached a 65% pass rate versus 47% for claude-opus-4-8 — a +18-point lift.

Base model
claude-opus-4-8
via anthropic · 47% pass rate
Refined model
claude-opus-4-6
via anthropic · 65% pass rate · 3.3s p95
Base pass rate
47%
Refined pass rate
65%
Refined p95
3.3s
Est. tokens saved
8.6K
+0pts
refined beats base on 7 rows
0%
Base model
0%
Invoked-refined
1 improved1 regressed5 unchanged

Per-row results

1Suit-limitation clause: is a late-filed claim contractually barred?100%100%0
2Business-interruption period-of-restoration calculation100%100%0
3Coinsurance 80% clause recovery on an under-insured building100%0%-100
4Aggregate deductible across a loss sequence under a per-occurrence + annual cap0%100%+100
5Subrogation waiver interaction with additional-insured status100%100%0
6Named-peril coverage determination under a basic HO form100%100%0
7Pro-rata distribution across layered carriers on a covered loss0%0%0
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