Prove the lift · AI model performance evaluation

gpt-5 vs glm-5.2

+16-point lift for gpt-5 on support-ticket-triage

Test summary

This benchmark evaluates gpt-5 against glm-5.2 on the support-ticket-triage v1 dataset (6 rows), scored by an LLM-as-judge (claude-haiku-4-5). gpt-5 reached a 65% pass rate versus 49% for glm-5.2 — a +16-point lift.

Base model
glm-5.2
via z-ai · 49% pass rate
Refined model
gpt-5
via openai · 65% pass rate · 0.9s p95
Base pass rate
49%
Refined pass rate
65%
Refined p95
0.9s
Est. tokens saved
5.1K
+0pts
refined beats base on 6 rows
0%
Base model
0%
Invoked-refined
▲2 improved▼1 regressed●3 unchanged

Per-row results

1Summarize a 12-message thread into a one-line disposition100% → 100%0
2Priority-tag an outage report vs a feature question0% → 100%+100
3Extract the affected order id from a free-text complaint100% → 100%0
4Detect churn-risk sentiment in a renewal thread0% → 100%+100
5Route a multi-part ticket to the correct queue100% → 100%0
6Classify: billing dispute vs refund request vs cancellation100% → 0%-100
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