Prove the lift · AI model performance evaluation
llama-3.1-405b vs claude-3-5-haiku
+21-point lift for llama-3.1-405b on support-ticket-triage
Test summary
This benchmark evaluates llama-3.1-405b against claude-3-5-haiku on the support-ticket-triage v3 dataset (5 rows), scored by an LLM-as-judge (claude-haiku-4-5). llama-3.1-405b reached a 47% pass rate versus 26% for claude-3-5-haiku — a +21-point lift.
- Base model
- claude-3-5-haiku
- via anthropic · 26% pass rate
- Refined model
- llama-3.1-405b
- via meta · 47% pass rate · 3.1s p95
Base pass rate
26%
Refined pass rate
47%
Refined p95
3.1s
Est. tokens saved
13.1K
+0pts
refined beats base on 5 rows
0%
Base model0%
Invoked-refined▲2 improved▼0 regressed●3 unchanged
Per-row results
1Detect churn-risk sentiment in a renewal thread0% → 0%0
2Classify: billing dispute vs refund request vs cancellation100% → 100%0
3Priority-tag an outage report vs a feature question0% → 100%+100
4Summarize a 12-message thread into a one-line disposition0% → 100%+100
5Route a multi-part ticket to the correct queue100% → 100%0
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