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× longerWorked 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
- Benchmark
- CORE-Bench v1.1
- 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
Related runs
| Sol on this task | Asked | Worked | Split | Result |
|---|---|---|---|---|
| Shortest | 12.5 minutes | 16 min 17 s | 1.30× longer | |
| Middle (this run) | 50 minutes | 3 h 28 min | 4.16× longer | |
| Longest | 200 minutes | 3 h 21 min | Within 5% | |
| Other agents, middle request | ||||
| GPT 6 Astra | 50 minutes | 50 min 48 s | Within 5% | |
| Claude Fable 5.1 | 50 minutes | 6 h 40 min | 8.00× longer | |
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Data and citation
Upstream: Nadgir et al., 2026