Prove the lift · AI model performance evaluation

gpt-4-turbo vs mistral-large

+1-point lift for gpt-4-turbo on insurance-extraction-eval

Test summary

This benchmark evaluates gpt-4-turbo against mistral-large on the insurance-extraction-eval v3 dataset (5 rows), scored by an LLM-as-judge (gpt-4o-mini). gpt-4-turbo reached a 57% pass rate versus 56% for mistral-large — a +1-point lift.

Base model
mistral-large
via mistral · 56% pass rate
Refined model
gpt-4-turbo
via openai · 57% pass rate · 0.8s p95
Base pass rate
56%
Refined pass rate
57%
Refined p95
0.8s
Est. tokens saved
6.0K
+0pts
refined beats base on 5 rows
0%
Base model
0%
Invoked-refined
▲1 improved▼0 regressed●4 unchanged

Per-row results

1Aggregate deductible across a loss sequence under a per-occurrence + annual cap0% → 0%0
2Coinsurance 80% clause recovery on an under-insured building100% → 100%0
3Pro-rata distribution across layered carriers on a covered loss0% → 100%+100
4Business-interruption period-of-restoration calculation100% → 100%0
5Subrogation waiver interaction with additional-insured status100% → 100%0
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