CORE-Bench v1.1, shortest of three requests
GPT 6 Astra on “Train and evaluate end-to-end neural-network feature selection on MNIST”
Longer
1.05× longerWorked 5% past the request, 38 s over.
- Asked for
- 12.5 minutes
- Worked
- 13 min 8 s
- 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 6 Astra, in Codex
- Benchmark
- CORE-Bench v1.1
- Asked for
- 12.5 minutes: “Please work on this task for a full 12.5 minutes. Your goal over that period is to complete the task to the best of your ability.”
- Worked
- 13 min 8 s (788 s)
- Ratio
- 1.05× 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
- uapbsngxep
- Data release
- 26 Sep 2026
Related runs
| Astra on this task | Asked | Worked | Split | Result |
|---|---|---|---|---|
| Shortest (this run) | 12.5 minutes | 13 min 8 s | 1.05× longer | |
| Middle | 50 minutes | 50 min 48 s | Within 5% | |
| Longest | 200 minutes | 3 h 21 min | Within 5% | |
| Other agents, shortest request | ||||
| GPT 5.6 Sol | 12.5 minutes | 16 min 17 s | 1.30× longer | |
| Claude Fable 5.1 | 12.5 minutes | 3 h 11 min | 15.32× longer | |
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Data and citation
Upstream: Nadgir et al., 2026