Prove the lift · AI model performance evaluation
gpt-5 vs kimi-k2-thinking
+8-point lift for gpt-5 on insurance-extraction-eval
Test summary
This benchmark evaluates gpt-5 against kimi-k2-thinking on the insurance-extraction-eval v1 dataset (7 rows), scored by an LLM-as-judge (claude-haiku-4-5). gpt-5 reached a 66% pass rate versus 58% for kimi-k2-thinking — a +8-point lift.
- Base model
- kimi-k2-thinking
- via moonshot · 58% pass rate
- Refined model
- gpt-5
- via openai · 66% pass rate · 0.6s p95
Base pass rate
58%
Refined pass rate
66%
Refined p95
0.6s
Est. tokens saved
2.2K
+0pts
refined beats base on 7 rows
0%
Base model0%
Invoked-refined▲1 improved▼1 regressed●5 unchanged
Per-row results
1Pro-rata distribution across layered carriers on a covered loss0% → 100%+100
2Suit-limitation clause: is a late-filed claim contractually barred?100% → 100%0
3Coinsurance 80% clause recovery on an under-insured building0% → 0%0
4Business-interruption period-of-restoration calculation100% → 100%0
5Replacement cost vs ACV on a depreciated roof100% → 100%0
6Subrogation waiver interaction with additional-insured status100% → 100%0
7Aggregate deductible across a loss sequence under a per-occurrence + annual cap100% → 0%-100
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