PostTrainBench v1.2
We show this table for reference; we do not rank on it.
Version 1.2 of PostTrainBench, which asks an agent to post-train a base model and scores the resulting model.
Benchmark score on PostTrainBench v1.2 — October 29, 2026
We compile the PostTrainBench v1.2 rows from provider self-reports. Kimi K3.1 Pro leads the table at 36.5%. We do not use these results to rank models overall.
1 modelCodingCurrentDisplay onlyUpdated October 29, 2026
Benchmark score table (1 model)
| Rank | Model / configuration | Score | Parameters (B) | Open / closed |
|---|---|---|---|---|
| 1 | Kimi K3.1 ProMoonshot AI | 36.5% | Not reported | Pending |
About PostTrainBench v1.2
Year
2026
Tasks
Agent post-training tasks
Format
Post-training score
Difficulty
Autonomous ML engineering
Moonshot runs Kimi K3.1 Pro and DeepSeek-V4.1-Flash-1017 on v1.2 with Claude Code on H20 GPUs instead of the official H100s, judged by DeepSeek-V4.1-Flash-1017 at max effort instead of the official GPT-5.6-Terra judge. BenchLM keeps it separate from the v1.1 key and the unversioned PostTrain Bench key.
Freshness and provenance
Version
PostTrainBench v1.2 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
Questions
What does PostTrainBench v1.2 measure?
Version 1.2 of PostTrainBench, which asks an agent to post-train a base model and scores the resulting model.
Which model scores highest on PostTrainBench v1.2?
Kimi K3.1 Pro by Moonshot AI currently leads with a score of 36.5% on PostTrainBench v1.2.
How many models are evaluated on PostTrainBench v1.2?
1 AI models have published results on PostTrainBench v1.2 in the BenchLM catalog.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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