Prove the lift · AI model performance evaluation
claude-opus-4-8 vs llama-3.1-70b
+21-point lift for claude-opus-4-8 on support-ticket-triage
Test summary
This benchmark evaluates claude-opus-4-8 against llama-3.1-70b on the support-ticket-triage v2 dataset (6 rows), scored by an LLM-as-judge (gpt-4o-mini, run locally). claude-opus-4-8 reached a 70% pass rate versus 49% for llama-3.1-70b — a +21-point lift.
- Base model
- llama-3.1-70b
- via ollama · 49% pass rate
- Refined model
- claude-opus-4-8
- via anthropic · 70% pass rate · 1.9s p95
Base pass rate
49%
Refined pass rate
70%
Refined p95
1.9s
Est. tokens saved
3.3K
+0pts
refined beats base on 6 rows
0%
Base model0%
Invoked-refined▲0 improved▼2 regressed●4 unchanged
Per-row results
1Classify: billing dispute vs refund request vs cancellation100% → 100%0
2Route a multi-part ticket to the correct queue0% → 0%0
3Summarize a 12-message thread into a one-line disposition100% → 0%-100
4Detect churn-risk sentiment in a renewal thread0% → 0%0
5Extract the affected order id from a free-text complaint100% → 0%-100
6Priority-tag an outage report vs a feature question100% → 100%0
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