AI benchmarks and leaderboards are different things
Learn the difference between a benchmark, an evaluation run and a leaderboard, and use each to answer the right question.
Model reports
PostTrainBench
Measures a model's ability to run post-training itself. Hardware differs between reported runs (H100 vs H20), which moves the score.
Evaluation context and evidence
- Source
- Model reports
- Publisher
- Not recorded
- Benchmark release
- 2026-01-20
- Collected
- Not recorded
- Modality
- Not recorded
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 3
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| Kimi K3 | 36.6 | percent | reasoning=max | 2026-06-13 · document_publication | Kimi K3 |
| Hy4 preview | 35.6 | percent | PostTrainBench V1.1 | 2026-08-28 · document_publication | Hy4 preview |
| GLM-5.2 | 34.3 | percent | PostTrainBench, 1M context, max effort, 128K max output | 2026-06-16 · document_publication | GLM-5.2 |