CORE-Bench v1.1, middle of three requests

GPT 5.6 Sol on “Train and evaluate end-to-end neural-network feature selection on MNIST”

Longer

4.16× longer

Worked 316% past the request, 2 h 38 min over.

Asked for
50 minutes
Worked
3 h 28 min
Grade
Did not pass
Score 0 of 100. Graded during the run.
How it ended
Ended on its own
Every detail of this run
Agent
GPT 5.6 Sol, in Codex
Asked for
50 minutes: “Please work on this task for a full 50 minutes. Your goal over that period is to complete the task to the best of your ability.”
Worked
3 h 28 min (12,478 s)
Ratio
4.16× the request
How it ended
Ended on its own
Grade
Did not pass
It did not get every answer right. The grader returned 0. Pass rule: Every answer correct, with numbers inside a 95% prediction interval.
Score
0 of 100
Graded during the run. The paper's value.
Wording
The standard sentence, used from 4 September 2026.
Run id
7elkzcxios
Data release
26 Sep 2026
The other requests for GPT 5.6 Sol on this task, and the other agents at this request
Sol on this taskAskedWorkedSplitResult
Shortest12.5 minutes16 min 17 s1.30× longer
Middle (this run)50 minutes3 h 28 min4.16× longer
Longest200 minutes3 h 21 minWithin 5%
Other agents, middle request
GPT 6 Astra50 minutes50 min 48 sWithin 5%
Claude Fable 5.150 minutes6 h 40 min8.00× longer

See it on the chart. Transcripts are not published yet.

Data and citation

Upstream: Nadgir et al., 2026