Prove the lift · AI model performance evaluation
claude-sonnet-4-5 vs mixtral-8x7b
+23-point lift for claude-sonnet-4-5 on ecommerce-catalog-norm
Test summary
This benchmark evaluates claude-sonnet-4-5 against mixtral-8x7b on the ecommerce-catalog-norm v1 dataset (5 rows), scored by an LLM-as-judge (llama-3.1-8b, run locally). claude-sonnet-4-5 reached a 73% pass rate versus 50% for mixtral-8x7b — a +23-point lift.
- Base model
- mixtral-8x7b
- via mistral · 50% pass rate
- Refined model
- claude-sonnet-4-5
- via anthropic · 73% pass rate · 1.7s p95
Base pass rate
50%
Refined pass rate
73%
Refined p95
1.7s
Est. tokens saved
11.6K
+0pts
refined beats base on 5 rows
0%
Base model0%
Invoked-refined▲2 improved▼0 regressed●2 unchanged
Per-row results
1Classify a listing into the right category node100% → 100%0
2Extract material + color from a product title0% → 100%+100
3Deduplicate two near-identical SKUs100% → 100%0
4Normalize a free-text size into a standard enum0% → 100%+100
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