Prove the lift · AI model performance evaluation
claude-opus-4-8 vs gemini-1.5-flash
+19-point lift for claude-opus-4-8 on ecommerce-catalog-norm
Test summary
This benchmark evaluates claude-opus-4-8 against gemini-1.5-flash on the ecommerce-catalog-norm v1 dataset (5 rows), scored by an LLM-as-judge (claude-haiku-4-5, run locally). claude-opus-4-8 reached a 43% pass rate versus 24% for gemini-1.5-flash — a +19-point lift.
- Base model
- gemini-1.5-flash
- via google · 24% pass rate
- Refined model
- claude-opus-4-8
- via anthropic · 43% pass rate · 1.7s p95
Base pass rate
24%
Refined pass rate
43%
Refined p95
1.7s
Est. tokens saved
9.2K
+0pts
refined beats base on 5 rows
0%
Base model0%
Invoked-refined▲0 improved▼0 regressed●4 unchanged
Per-row results
1Extract material + color from a product title0% → 0%0
2Deduplicate two near-identical SKUs0% → 0%0
3Classify a listing into the right category node0% → 0%0
4Normalize a free-text size into a standard enum0% → 0%0
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