Prove the lift · AI model performance evaluation

grok-4 vs gpt-5.1

+3-point lift for grok-4 on ecommerce-catalog-norm

Test summary

This benchmark evaluates grok-4 against gpt-5.1 on the ecommerce-catalog-norm v2 dataset (5 rows), scored by an LLM-as-judge (gpt-4o-mini, run locally). grok-4 reached a 62% pass rate versus 59% for gpt-5.1 — a +3-point lift.

Base model
gpt-5.1
via openai · 59% pass rate
Refined model
grok-4
via xai · 62% pass rate · 1.7s p95
Base pass rate
59%
Refined pass rate
62%
Refined p95
1.7s
Est. tokens saved
8.5K
+0pts
refined beats base on 5 rows
0%
Base model
0%
Invoked-refined
2 improved0 regressed2 unchanged

Per-row results

1Normalize a free-text size into a standard enum100%100%0
2Deduplicate two near-identical SKUs0%100%+100
3Classify a listing into the right category node100%100%0
4Extract material + color from a product title0%100%+100
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