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 model
0%
Invoked-refined
2 improved0 regressed2 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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