Prove the lift · AI model performance evaluation
llama-3.1-405b vs gpt-4.1-mini
+24-point lift for llama-3.1-405b on support-ticket-triage
Test summary
This benchmark evaluates llama-3.1-405b against gpt-4.1-mini on the support-ticket-triage v3 dataset (5 rows), scored by an LLM-as-judge (llama-3.1-8b). llama-3.1-405b reached a 59% pass rate versus 35% for gpt-4.1-mini — a +24-point lift.
- Base model
- gpt-4.1-mini
- via openai · 35% pass rate
- Refined model
- llama-3.1-405b
- via meta · 59% pass rate · 3.4s p95
Base pass rate
35%
Refined pass rate
59%
Refined p95
3.4s
Est. tokens saved
12.0K
+0pts
refined beats base on 5 rows
0%
Base model0%
Invoked-refined▲4 improved▼0 regressed●1 unchanged
Per-row results
1Priority-tag an outage report vs a feature question0% → 100%+100
2Summarize a 12-message thread into a one-line disposition100% → 100%0
3Classify: billing dispute vs refund request vs cancellation0% → 100%+100
4Extract the affected order id from a free-text complaint0% → 100%+100
5Route a multi-part ticket to the correct queue0% → 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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