Prove the lift · AI model performance evaluation
llama-4-maverick vs gpt-5.1
-12-point lift for llama-4-maverick on ecommerce-catalog-norm
Test summary
This benchmark evaluates llama-4-maverick against gpt-5.1 on the ecommerce-catalog-norm v1 dataset (5 rows), scored by an LLM-as-judge (gpt-4o-mini). llama-4-maverick reached a 37% pass rate versus 49% for gpt-5.1 — a -12-point lift.
- Base model
- gpt-5.1
- via openai · 49% pass rate
- Refined model
- llama-4-maverick
- via meta · 37% pass rate · 2.1s p95
Base pass rate
49%
Refined pass rate
37%
Refined p95
2.1s
Est. tokens saved
1.2K
−0pts
no lift — the base model held its ground
0%
Base model0%
Invoked-refined▲1 improved▼0 regressed●3 unchanged
Per-row results
1Normalize a free-text size into a standard enum100% → 100%0
2Deduplicate two near-identical SKUs0% → 100%+100
3Extract material + color from a product title100% → 100%0
4Classify a listing into the right category node100% → 100%0
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