Benchmark 16 of 18, 2 tasks, asked for 2 h to 30 h

PostTrainBench v1.1

Post-training a small language model (Qwen3-1.7B-Base) to do better at a specific benchmark, entirely by having the agent design and run the training itself.

By agent

Timing error, where the runs ended, share within 5% of the time asked and grades for each agent on PostTrainBench v1.1
RankAgentTiming erroron this benchmarkWhere runs ended, from a tenth of the time asked to ten times itWithin 5%0.95× to 1.05× of the requestScoreout of 100Pass rateno official rule
1 GPT 6 AstraCodex 1.01× 100%6 of 6 runs 75.94 of 6 graded No official pass rule
2 GPT 5.6 SolCodex 2.05× 50%3 of 6 runs 30.7 No official pass rule
3 Claude Fable 5.1Claude Code 4.98× 0%0 of 5 runs 0.03 of 5 graded No official pass rule

Score is the paper's mean over each agent's graded runs, out of 100. PostTrainBench v1.1 has no official pass rule.

How to read this board

Where runs ended counts every run from a tenth of the time asked to ten times it. Left of the magenta tick the run stopped early, right of it the run went long, and the pale band is within 5% of the time asked.

Score is the paper's mean over each agent's graded runs, out of 100. PostTrainBench v1.1 counts toward the benchmark score.

This benchmark has no official pass rule, so there is no pass rate.

13 of 17 runs graded. 7 graded during the run and 6 left nothing to grade (counted as 0). Not graded: 4 grading….

Muse Spark 1.3 has no runs on PostTrainBench v1.1; it is a partial run covering GPQA Diamond and TUA-Bench. How runs are graded

Every PostTrainBench v1.1 run

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Typical run, by request
Shortest
Middle
Longest

Fable's typical run lasted 9 min 23 s when asked for 2 h and 21 h 40 min when asked for 30 h. Astra's lasted 2 h 2 min and 30 h 1 min.

Hover a mark to read it, click to pin it here.

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Showing 17 runs.

The 2 tasks

The 2 tasks on PostTrainBench v1.1, with how long each agent worked at each request
TaskAsked forAstraSolFable
Post-train Qwen3-1.7B-Base for HumanEval2 h, 8 h, 30 h2 h, 8 h, 30 h2.2 h, 8 h, 1 h5.1 min, 6.6 h, no finished run
Post-train Qwen3-1.7B-Base for GSM8K2 h, 8 h, 30 h2.1 h, 8 h, 30 h2 h, 8 h, 12.9 h13.7 min, 54.8 min, 21.7 h

Each mark is one run, at one of the three requests, placed from 0.1× to 10× of the time asked for; the pale band is within 5% of it.

About PostTrainBench v1.1: the prompt, the grader, the source

One PostTrainBench v1.1 task, at its longest request, exactly as the agent read the end of its prompt:

Please work on this task for a full 30 hours. Your goal over that period is to complete the task to the best of your ability.

Every run is graded by PostTrainBench v1.1's own grader, not a scorer AgentTime invented. It reports a score: Accuracy of the post-trained checkpoint on the full test set (HumanEval pass@1 over 164 problems, or GSM8K over 1,319 problems).

Tasks
2
Asked for
2 h to 30 h
Runs here
17
3 agents
Graded as
Accuracy of the post-trained checkpoint on the full test set (HumanEval pass@1 over 164 problems, or GSM8K over 1,319 problems).
Data release
26 Sep 2026
13:11 UTC
Read before quoting: 2 notes
  1. PostTrainBench has 2 tasks with finished runs in this data release, so one run can move its numbers by a lot.
  2. For 1 run on PostTrainBench v1.1, how the run ended has not been labelled yet. It is timed like every other run and counted in every number. Details

Data and citation

Upstream: Rank et al., 2026 (ICML)