Prove the lift · AI model performance evaluation

gpt-4.1 vs claude-haiku-4-5

+17-point lift for gpt-4.1 on support-ticket-triage

Test summary

This benchmark evaluates gpt-4.1 against claude-haiku-4-5 on the support-ticket-triage v3 dataset (6 rows), scored by an LLM-as-judge (claude-haiku-4-5). gpt-4.1 reached a 73% pass rate versus 56% for claude-haiku-4-5 — a +17-point lift.

Base model
claude-haiku-4-5
via anthropic · 56% pass rate
Refined model
gpt-4.1
via openai · 73% pass rate · 1.7s p95
Base pass rate
56%
Refined pass rate
73%
Refined p95
1.7s
Est. tokens saved
8.0K
+0pts
refined beats base on 6 rows
0%
Base model
0%
Invoked-refined
3 improved0 regressed3 unchanged

Per-row results

1Summarize a 12-message thread into a one-line disposition100%100%0
2Extract the affected order id from a free-text complaint100%100%0
3Route a multi-part ticket to the correct queue0%100%+100
4Detect churn-risk sentiment in a renewal thread0%100%+100
5Classify: billing dispute vs refund request vs cancellation100%100%0
6Priority-tag an outage report vs a feature question0%100%+100
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