PostTrainBench v1.1 leaderboard

PostTrainBench v1.1 is a coding benchmark published by PostTrainBench v1.1 leaderboard and methodology. Post-training four base language models across seven weighted benchmarks, with ten hours and one H100 per run. Its evaluation set is described by the source as post-training Qwen3 1.7B and 4B, SmolLM3 3B, and Gemma3 4B. The source rates its difficulty as frontier agent evaluation.

Each model's result is published by PostTrainBench v1.1 leaderboard and methodology as weighted aggregate across four base models and seven benchmarks. ModelScale prints that value to 1 decimal place, exactly as published, and never converts or rescales it. This page ranks the 15 models that carry a published value, highest value first; a model the source never scored is left out rather than ranked at zero. The source does not state whether a higher value is the better result, so neither does this page.