Prove the lift · AI model performance evaluation
claude-opus-5 vs grok-4
+8-point lift for claude-opus-5 on ecommerce-catalog-norm
Test summary
This benchmark evaluates claude-opus-5 against grok-4 on the ecommerce-catalog-norm v3 dataset (5 rows), scored by an LLM-as-judge (llama-3.1-8b, run locally). claude-opus-5 reached a 50% pass rate versus 42% for grok-4 — a +8-point lift.
- Base model
- grok-4
- via xai · 42% pass rate
- Refined model
- claude-opus-5
- via anthropic · 50% pass rate · 2.3s p95
Base pass rate
42%
Refined pass rate
50%
Refined p95
2.3s
Est. tokens saved
6.7K
+0pts
refined beats base on 5 rows
0%
Base model0%
Invoked-refined▲3 improved▼0 regressed●1 unchanged
Per-row results
1Extract material + color from a product title0% → 100%+100
2Classify a listing into the right category node0% → 100%+100
3Deduplicate two near-identical SKUs0% → 100%+100
4Normalize a free-text size into a standard enum0% → 0%0
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