reasoning benchmark
PostTrainBench Leaderboard
PostTrainBench evaluates a model's ability to autonomously post-train base models by completing data synthesis, training, evaluation, and iteration within a time budget.
Updated Sep 5, 2026
Models7
Model coverage7
MetricScore
EvidenceB
PostTrainBench Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelZA | Score39.80% | Percentile100.00% | Participants7 | EvidenceC | Evaluated |
| Rank02 | ModelMI | Score37.10% | Percentile83.33% | Participants7 | EvidenceC | Evaluated |
| Rank03 | ModelMA | Score36.60% | Percentile66.67% | Participants7 | EvidenceC | Evaluated |
| Rank04 | ModelTE | Score35.60% | Percentile50.00% | Participants7 | EvidenceC | Evaluated |
| Rank05 | ModelZA | Score34.30% | Percentile33.33% | Participants7 | EvidenceC | Evaluated |
| Rank06 | ModelBY | Score18.30% | Percentile16.67% | Participants7 | EvidenceC | Evaluated |
| Rank07 | ModelBY | Score16.50% | Percentile0.00% | Participants7 | EvidenceC | Evaluated |
PostTrainBench Highlights
The leading models and scores on this benchmark.
PostTrainBench Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for PostTrainBench
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is PostTrainBench?
What PostTrainBench measures and how its scores work.
PostTrainBench is a benchmark for autonomous post-training of pretrain-only base models.
It measures performance using the Score metric, reported as a ratio, across downstream benchmarks including AIME2025, BFCL, GPQA Main, GSM8K, and HumanEval.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- PostTrainBench
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about PostTrainBench.
Which model scores highest on PostTrainBench?
GLM-5.3 is currently ranked first with 39.80%.
What are the top three models on PostTrainBench?
The current leaders are GLM-5.3 (39.80%), MiniMax M3 (37.10%), and Kimi K3 (36.60%).
Which PostTrainBench model has the lowest official input price?
MiniMax M3 has the lowest matched official input price at $0.30 input / $1.2 output per 1M tokens.
Which models are fastest among PostTrainBench results?
The fastest matched records are GLM-5.3 (472.69 tok/s via FriendliAI), MiniMax M3 (6.61 tok/s via MiniMax), and GLM-5.2 (3.96 tok/s via ZAI).
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.