Terminal-Bench 4.0, longest of three requests
Claude Fable 5.1 on “Train a lake-temperature profile model from sparse observations”
Shorter
2.05× shorterStopped at 49% of the time asked, 4 h 16 min short.
- Asked for
- 500 minutes
- Worked
- 4 h 4 min
- Grade
- Did not pass
- Score 0 of 100. Graded afterwards.
- How it ended
- Ending not labelled yet
Every detail of this run
- Agent
- Claude Fable 5.1, in Claude Code
- 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
- 4 h 4 min (14,624 s)
- Ratio
- 0.49× the request
- How it ended
- Ending not labelled yet
- 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 afterwards. The paper's value.
- Wording
- The standard sentence, used from 4 September 2026.
- Run id
- wrrgmsnbeo
- Data release
- 26 Sep 2026
Related runs
| Fable on this task | Asked | Worked | Split | Result |
|---|---|---|---|---|
| Shortest | 30 minutes | 16 min 18 s | 1.84× shorter | |
| Middle | 125 minutes | 1 h 21 min | 1.54× shorter | |
| Longest (this run) | 500 minutes | 4 h 4 min | 2.05× shorter | |
| Other agents, longest request | ||||
| GPT 6 Astra | 500 minutes | 8 h 22 min | Within 5% | |
| GPT 5.6 Sol | 500 minutes | 8 h 21 min | Within 5% | |
See it on the chart. Transcripts are not published yet.
Read before quoting. How this run ended has not been labelled yet. It is timed like every other run and counted in every number. Details
Data and citation
Upstream: Merrill et al., 2026 (ICLR)