Prove the lift · AI model performance evaluation

gemini-1.5-pro vs gpt-4o

+20-point lift for gemini-1.5-pro on ecommerce-catalog-norm

Test summary

This benchmark evaluates gemini-1.5-pro against gpt-4o on the ecommerce-catalog-norm v2 dataset (5 rows), scored by an LLM-as-judge (llama-3.1-8b). gemini-1.5-pro reached a 47% pass rate versus 27% for gpt-4o — a +20-point lift.

Base model
gpt-4o
via openai · 27% pass rate
Refined model
gemini-1.5-pro
via google · 47% pass rate · 1.5s p95
Base pass rate
27%
Refined pass rate
47%
Refined p95
1.5s
Est. tokens saved
11.9K
+0pts
refined beats base on 5 rows
0%
Base model
0%
Invoked-refined
1 improved1 regressed2 unchanged

Per-row results

1Classify a listing into the right category node100%0%-100
2Extract material + color from a product title0%100%+100
3Deduplicate two near-identical SKUs100%100%0
4Normalize a free-text size into a standard enum100%100%0
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