Prove the lift · AI model performance evaluation

gpt-4o-mini vs claude-haiku-4-5

+19-point lift for gpt-4o-mini on ecommerce-catalog-norm

Test summary

This benchmark evaluates gpt-4o-mini against claude-haiku-4-5 on the ecommerce-catalog-norm v1 dataset (5 rows), scored by an LLM-as-judge (llama-3.1-8b). gpt-4o-mini reached a 47% pass rate versus 28% for claude-haiku-4-5 — a +19-point lift.

Base model
claude-haiku-4-5
via anthropic · 28% pass rate
Refined model
gpt-4o-mini
via openai · 47% pass rate · 1.9s p95
Base pass rate
28%
Refined pass rate
47%
Refined p95
1.9s
Est. tokens saved
11.4K
+0pts
refined beats base on 5 rows
0%
Base model
0%
Invoked-refined
1 improved0 regressed3 unchanged

Per-row results

1Normalize a free-text size into a standard enum0%0%0
2Deduplicate two near-identical SKUs100%100%0
3Classify a listing into the right category node0%0%0
4Extract material + color from a product title0%100%+100
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