Prove the lift · AI model performance evaluation

gpt-5 vs claude-opus-4-6

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

Test summary

This benchmark evaluates gpt-5 against claude-opus-4-6 on the support-ticket-triage v1 dataset (6 rows), scored by an LLM-as-judge (llama-3.1-8b). gpt-5 reached a 81% pass rate versus 65% for claude-opus-4-6 — a +16-point lift.

Base model
claude-opus-4-6
via anthropic · 65% pass rate
Refined model
gpt-5
via openai · 81% pass rate · 2.5s p95
Base pass rate
65%
Refined pass rate
81%
Refined p95
2.5s
Est. tokens saved
11.8K
+0pts
refined beats base on 6 rows
0%
Base model
0%
Invoked-refined
2 improved0 regressed4 unchanged

Per-row results

1Classify: billing dispute vs refund request vs cancellation100%100%0
2Extract the affected order id from a free-text complaint100%100%0
3Priority-tag an outage report vs a feature question100%100%0
4Route a multi-part ticket to the correct queue0%100%+100
5Detect churn-risk sentiment in a renewal thread0%100%+100
6Summarize a 12-message thread into a one-line disposition100%100%0
Prove the lift on your own data.

Run any two models over your tasks, judged automatically, and see the improvement — in seconds.

Try Invoked
Generated with Invoked · Browse all benchmarks