Prove the lift · AI model performance evaluation
claude-opus-4-8 vs mistral-large
+15-point lift for claude-opus-4-8 on support-ticket-triage
Test summary
This benchmark evaluates claude-opus-4-8 against mistral-large on the support-ticket-triage v1 dataset (5 rows), scored by an LLM-as-judge (llama-3.1-8b). claude-opus-4-8 reached a 47% pass rate versus 32% for mistral-large — a +15-point lift.
- Base model
- mistral-large
- via mistral · 32% pass rate
- Refined model
- claude-opus-4-8
- via anthropic · 47% pass rate · 3.3s p95
Base pass rate
32%
Refined pass rate
47%
Refined p95
3.3s
Est. tokens saved
9.9K
+0pts
refined beats base on 5 rows
0%
Base model0%
Invoked-refined▲1 improved▼1 regressed●3 unchanged
Per-row results
1Extract the affected order id from a free-text complaint100% → 100%0
2Detect churn-risk sentiment in a renewal thread100% → 100%0
3Summarize a 12-message thread into a one-line disposition100% → 100%0
4Priority-tag an outage report vs a feature question0% → 100%+100
5Route a multi-part ticket to the correct queue100% → 0%-100
Prove the lift on your own data.
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