Prove the lift · AI model performance evaluation
grok-4 vs claude-opus-4-8
+17-point lift for grok-4 on ecommerce-catalog-norm
Test summary
This benchmark evaluates grok-4 against claude-opus-4-8 on the ecommerce-catalog-norm v1 dataset (5 rows), scored by an LLM-as-judge (claude-haiku-4-5). grok-4 reached a 51% pass rate versus 34% for claude-opus-4-8 — a +17-point lift.
- Base model
- claude-opus-4-8
- via anthropic · 34% pass rate
- Refined model
- grok-4
- via xai · 51% pass rate · 0.8s p95
Base pass rate
34%
Refined pass rate
51%
Refined p95
0.8s
Est. tokens saved
2.4K
+0pts
refined beats base on 5 rows
0%
Base model0%
Invoked-refined▲0 improved▼1 regressed●3 unchanged
Per-row results
1Extract material + color from a product title100% → 100%0
2Deduplicate two near-identical SKUs100% → 0%-100
3Normalize a free-text size into a standard enum0% → 0%0
4Classify a listing into the right category node100% → 100%0
Prove the lift on your own data.
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