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 model
0%
Invoked-refined
3 improved0 regressed1 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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