Open LMM Reasoning - WeMath - InadequateGeneralization (Loose) — leaderboard
Metric: Accuracy (%). Source: huggingface.co. 83 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | InternVL3-8B | 16.2 |
| 2 | Gemma 3 4B | 15.6 |
| 3 | Claude 3.5 Sonnet (20241022) | 15.2 |
| 4 | Gemma 3 27B | 15.1 |
| 5 | Gemma 3 12B | 14.7 |
| 6 | Qwen 2 VL 72B | 13.7 |
| 7 | Qwen 2 VL 7B | 13.3 |
| 8 | Ovis2-8B | 13.3 |
| 9 | Gemini 1.5 Pro (002) | 12.9 |
| 10 | InternVL2.5-78B | 12.9 |
| 11 | Gemini 2.0 Flash | 12.9 |
| 12 | GPT-4.1 Nano | 12.8 |
| 13 | InternVL3-38B | 12.6 |
| 14 | Grok 2 (1212) | 12.6 |
| 15 | InternVL3-78B | 12.2 |
Interactive version: theaggregate.ai/benchmark?slug=open-lmm-reasoning-wemath-inadequategeneralization-loose · How the rankings work · Data refreshed daily, snapshot 2026-07-22.