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 model0%
Invoked-refined▲2 improved▼0 regressed●2 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
Prove the lift on your own data.
Run any two models over your tasks, judged automatically, and see the improvement — in seconds.
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