Prove the lift · AI model performance evaluation
gemma-3-27b vs gpt-oss-20b
+2-point lift for gemma-3-27b on ecommerce-catalog-norm
Test summary
This benchmark evaluates gemma-3-27b against gpt-oss-20b on the ecommerce-catalog-norm v3 dataset (5 rows), scored by an LLM-as-judge (claude-haiku-4-5, run locally). gemma-3-27b reached a 49% pass rate versus 47% for gpt-oss-20b — a +2-point lift.
- Base model
- gpt-oss-20b
- via openai · 47% pass rate
- Refined model
- gemma-3-27b
- via google · 49% pass rate · 3.3s p95
Base pass rate
47%
Refined pass rate
49%
Refined p95
3.3s
Est. tokens saved
1.3K
+0pts
refined beats base on 5 rows
0%
Base model0%
Invoked-refined▲0 improved▼2 regressed●2 unchanged
Per-row results
1Classify a listing into the right category node100% → 0%-100
2Extract material + color from a product title100% → 0%-100
3Deduplicate two near-identical SKUs0% → 0%0
4Normalize a free-text size into a standard enum0% → 0%0
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