Open LMM Reasoning - WeMath - RoteMemorization (Loose) — leaderboard
Metric: Accuracy (%). Source: huggingface.co. 83 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-4.1 Mini | 91.7 |
| 2 | Llama 3.2 11B Instruct | 36 |
| 3 | Qwen 2 VL 2B | 22.3 |
| 4 | InternVL2.5-2B | 19.3 |
| 5 | Aquila-VL-2B | 13.5 |
| 6 | Qwen 2 VL 7B | 12.5 |
| 7 | Gemma 3 4B | 10.3 |
| 8 | GPT-4.1 Nano | 7.8 |
| 9 | Ovis2-8B | 7.4 |
| 10 | Grok 2 (1212) | 6.5 |
| 11 | Gemma 3 12B | 6.2 |
| 12 | Qwen 2 VL 72B | 5.5 |
| 13 | InternVL2-8B | 5 |
| 14 | InternVL3-8B | 4.3 |
| 15 | InternVL3-14B | 4.2 |
Interactive version: theaggregate.ai/benchmark?slug=open-lmm-reasoning-wemath-rotememorization-loose · How the rankings work · Data refreshed daily, snapshot 2026-07-22.