GPT took 9.2 seconds to answer a request for bare JSON about Osaka, against its usual 1.7 seconds.
GPTSep 10
Return only valid JSON matching {"city": string, "population": integer, "country": string} for Osaka. No markdown, no code fences, no explanation.GPTSep 11
Return only valid JSON matching {"city": string, "population": integer, "country": string} for Osaka. No markdown, no code fences, no explanation.9.2 secondsto answer, about 5.3 times its usual 1.7 seconds.
{"city":"Osaka","population":2752412,"country":"Japan"}
Why it’s minor
Response time is how long an answer takes to arrive, and it rises and falls with the network and how busy the provider is. So an unusual time is worth a look but says little about the model itself.
The full answers
Each answer as the API returned it, with its Markdown rendered for reading. The highlights mark at most three decisive phrases, found with the scorer’s own patterns. Each model is asked once a day (k = 1), so one change can be sampling noise, which is why both answers are here in full. How scoring works.
Asked verbatim · Question 5
Exact recordShowHideEach response verbatim, unrendered, with line numbers and its sha256
Before baseline
2026-09-10 permalink
- Scored
- answered · format ok
- Received
- 2026-09-10 22:11:13 UTC
- Run
- 20260910T221001Z-bb5bd1
- Served by
- OpenAI · HTTP 200 · finish stop
- Size
- 55 characters · 50 tokens out incl. hidden reasoning · 1.7 s
End of response · 1 lines · 55 characters · sha256 7926685c90ce7ded3fdf8ca089edefa4fb752118b7ad2b773d7488a0d699115f
After this run
2026-09-11 permalink
- Scored
- answered · format ok
- Received
- 2026-09-11 09:01:43 UTC
- Run
- 20260911T090002Z-da0dd3
- Served by
- Azure · HTTP 200 · finish stop
- Size
- 55 characters · 59 tokens out incl. hidden reasoning · 9.2 s
End of response · 1 lines · 55 characters · sha256 7926685c90ce7ded3fdf8ca089edefa4fb752118b7ad2b773d7488a0d699115f
Record detailsShowHideModel version, runs, baseline, triage, permalink, event ID
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