Prove the lift · AI model performance evaluation
grok-3 vs minimax-m3
+1-point lift for grok-3 on ecommerce-catalog-norm
Test summary
This benchmark evaluates grok-3 against minimax-m3 on the ecommerce-catalog-norm v1 dataset (5 rows), scored by an LLM-as-judge (claude-haiku-4-5). grok-3 reached a 26% pass rate versus 25% for minimax-m3 — a +1-point lift.
- Base model
- minimax-m3
- via minimax · 25% pass rate
- Refined model
- grok-3
- via xai · 26% pass rate · 2.6s p95
Base pass rate
25%
Refined pass rate
26%
Refined p95
2.6s
Est. tokens saved
4.9K
+0pts
refined beats base on 5 rows
0%
Base model0%
Invoked-refined▲3 improved▼0 regressed●1 unchanged
Per-row results
1Classify a listing into the right category node0% → 0%0
2Extract material + color from a product title0% → 100%+100
3Deduplicate two near-identical SKUs0% → 100%+100
4Normalize a free-text size into a standard enum0% → 100%+100
Prove the lift on your own data.
Run any two models over your tasks, judged automatically, and see the improvement — in seconds.
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