Prove the lift · AI model performance evaluation

llama-3.1-405b vs gemini-3-pro

+15-point lift for llama-3.1-405b on support-ticket-triage

Test summary

This benchmark evaluates llama-3.1-405b against gemini-3-pro on the support-ticket-triage v1 dataset (5 rows), scored by an LLM-as-judge (claude-haiku-4-5). llama-3.1-405b reached a 65% pass rate versus 50% for gemini-3-pro — a +15-point lift.

Base model
gemini-3-pro
via google · 50% pass rate
Refined model
llama-3.1-405b
via meta · 65% pass rate · 1.8s p95
Base pass rate
50%
Refined pass rate
65%
Refined p95
1.8s
Est. tokens saved
1.8K
+0pts
refined beats base on 5 rows
0%
Base model
0%
Invoked-refined
1 improved1 regressed3 unchanged

Per-row results

1Classify: billing dispute vs refund request vs cancellation100%100%0
2Route a multi-part ticket to the correct queue100%100%0
3Detect churn-risk sentiment in a renewal thread0%100%+100
4Extract the affected order id from a free-text complaint100%0%-100
5Summarize a 12-message thread into a one-line disposition0%0%0
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