Visual OPST - POPE F1: 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 Training topics and supervision preserved; no unpublished checkpoint URL or decoding settings inferred. Visual training uses unlabeled OpenImages V4; caption/spatial supervision are separate trained variants. POPE F1. Metric: Accuracy (%).

Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 8 models tracked.

Top models

#ModelScoreOverall rank
1OPST study Gemma 4 E4B Visual OPST caption=× \times spatial=✓ \checkmark87.9
2OPST study Gemma 4 E4B Visual OPST caption=✓ \checkmark spatial=× \times87.8
3OPST study Gemma 4 E4B Visual OPST caption=✓ \checkmark spatial=✓ \checkmark87
4OPST study Gemma 4 E4B Base84.8
5OPST study Gemma 4 E2B Visual OPST caption=× \times spatial=✓ \checkmark84.7
6OPST study Gemma 4 E2B Visual OPST caption=✓ \checkmark spatial=✓ \checkmark84.6
7OPST study Gemma 4 E2B Visual OPST caption=✓ \checkmark spatial=× \times83
8OPST study Gemma 4 E2B Base82.2

Interactive version: theaggregate.ai/benchmark?slug=visual-opst-pope-f1 · How It Works · Data refreshed daily, snapshot 2026-10-27.