Prove the lift · AI model performance evaluation
llama-3.1-8b vs gpt-4o-mini
-2-point lift for llama-3.1-8b on insurance-extraction-eval
Test summary
This benchmark evaluates llama-3.1-8b against gpt-4o-mini on the insurance-extraction-eval v3 dataset (5 rows), scored by an LLM-as-judge (gpt-4o-mini). llama-3.1-8b reached a 52% pass rate versus 54% for gpt-4o-mini — a -2-point lift.
- Base model
- gpt-4o-mini
- via openai · 54% pass rate
- Refined model
- llama-3.1-8b
- via ollama · 52% pass rate · 1.4s p95
Base pass rate
54%
Refined pass rate
52%
Refined p95
1.4s
Est. tokens saved
688
−0pts
no lift — the base model held its ground
0%
Base model0%
Invoked-refined▲3 improved▼0 regressed●2 unchanged
Per-row results
1Coinsurance 80% clause recovery on an under-insured building0% → 100%+100
2Pro-rata distribution across layered carriers on a covered loss100% → 100%0
3Named-peril coverage determination under a basic HO form100% → 100%0
4Suit-limitation clause: is a late-filed claim contractually barred?0% → 100%+100
5Aggregate deductible across a loss sequence under a per-occurrence + annual cap0% → 100%+100
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