Prove the lift · AI model performance evaluation
claude-opus-4-6 vs mistral-large
+15-point lift for claude-opus-4-6 on ecommerce-catalog-norm
Test summary
This benchmark evaluates claude-opus-4-6 against mistral-large on the ecommerce-catalog-norm v2 dataset (5 rows), scored by an LLM-as-judge (claude-haiku-4-5). claude-opus-4-6 reached a 49% pass rate versus 34% for mistral-large — a +15-point lift.
- Base model
- mistral-large
- via mistral · 34% pass rate
- Refined model
- claude-opus-4-6
- via anthropic · 49% pass rate · 1.2s p95
Base pass rate
34%
Refined pass rate
49%
Refined p95
1.2s
Est. tokens saved
5.5K
+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 enum0% → 100%+100
2Classify a listing into the right category node0% → 100%+100
3Deduplicate two near-identical SKUs0% → 0%0
4Extract material + color from a product title0% → 0%0
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