Prove the lift · AI model performance evaluation
claude-opus-4-8 vs llama-4-maverick
+15-point lift for claude-opus-4-8 on support-ticket-triage
Test summary
This benchmark evaluates claude-opus-4-8 against llama-4-maverick on the support-ticket-triage v3 dataset (5 rows), scored by an LLM-as-judge (claude-haiku-4-5). claude-opus-4-8 reached a 75% pass rate versus 60% for llama-4-maverick — a +15-point lift.
- Base model
- llama-4-maverick
- via meta · 60% pass rate
- Refined model
- claude-opus-4-8
- via anthropic · 75% pass rate · 1.6s p95
Base pass rate
60%
Refined pass rate
75%
Refined p95
1.6s
Est. tokens saved
7.7K
+0pts
refined beats base on 5 rows
0%
Base model0%
Invoked-refined▲1 improved▼0 regressed●4 unchanged
Per-row results
1Priority-tag an outage report vs a feature question0% → 100%+100
2Classify: billing dispute vs refund request vs cancellation100% → 100%0
3Route a multi-part ticket to the correct queue100% → 100%0
4Detect churn-risk sentiment in a renewal thread100% → 100%0
5Extract the affected order id from a free-text complaint100% → 100%0
Prove the lift on your own data.
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