OPST Qwen3 Base - MMLU: leaderboard
OPST v1: Gemma 4 E2B/E4B Base means instruction-tuned; all training methods are separate checkpoints. OPST evaluates EMA teacher, not student. Nonthinking multiple-choice uses answer-option log-likelihood (MMLU 5-shot, other MC zero-shot, length normalization per lm-eval default); thinking parses final Answer: X. GSM8K 8-shot CoT exact numerical match; MATH-500 symbolic equivalence. Training topics and supervision preserved; no unpublished checkpoint URL or decoding settings inferred. Qwen3-4B-Base is pretrained, not instruction-tuned; same Appendix A.6 protocol. MMLU. Metric: Accuracy (%).
Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Around January 2027. 2 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Qwen3-4B-Base | 72 | #896 |
No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #6 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=opst-qwen3-base-mmlu · How It Works · Data refreshed daily, snapshot 2026-10-27.