Terminal-Bench 4.0, longest of three requests
GPT 5.6 Sol on “Train a lake-temperature profile model from sparse observations”
Within 5%
Within 5%Worked 100% of the time asked, within 5% of it.
- Asked for
- 500 minutes
- Worked
- 8 h 21 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
- Terminal-Bench 4.0
- Asked for
- 500 minutes: “Please work on this task for a full 500 minutes. Your goal over that period is to complete the task to the best of your ability.”
- Worked
- 8 h 21 min (30,078 s)
- Ratio
- 1.00× the request
- How it ended
- Ended on its own
- Grade
- Did not pass
- It did not pass the task's tests. The grader returned 0. Pass rule: The task's tests pass.
- Score
- 0 of 100
- Graded during the run. The paper's value.
- Wording
- The standard sentence, used from 4 September 2026.
- Run id
- yyaljblh4j
- Data release
- 26 Sep 2026
Related runs
| Sol on this task | Asked | Worked | Split | Result |
|---|---|---|---|---|
| Shortest | 30 minutes | 31 min 22 s | Within 5% | |
| Middle | 125 minutes | 2 h 6 min | Within 5% | |
| Longest (this run) | 500 minutes | 8 h 21 min | Within 5% | |
| Other agents, longest request | ||||
| GPT 6 Astra | 500 minutes | 8 h 22 min | Within 5% | |
| Claude Fable 5.1 | 500 minutes | 4 h 4 min | 2.05× shorter | |
See it on the chart. Transcripts are not published yet.
Data and citation
Upstream: Merrill et al., 2026 (ICLR)