Open LMM Reasoning - WeMath - Three-step(S3): leaderboard
Metric: Accuracy (%). Source: huggingface.co. 83 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Doubao-1.5-Pro | 70.9 |
| 2 | GPT-4.1 (2025-04-14) | 61.8 |
| 3 | Gemini 2.0 Flash | 60.6 |
| 4 | GPT-4o ChatGPT | 58.8 |
| 5 | Claude 3.7 Sonnet | 56.4 |
| 6 | Taichu-VLR-7B | 56.4 |
| 7 | Claude 3.5 Sonnet (20241022) | 54.5 |
| 8 | Gemini 1.5 Pro (002) | 53.9 |
| 9 | QVQ-72B-Preview | 53.9 |
| 10 | InternVL2.5-8B-BoN-8 | 53.9 |
| 11 | InternVL3-38B | 52.7 |
| 12 | InternVL3-78B | 50.3 |
| 13 | GPT-4.1 Nano | 49.1 |
| 14 | VLAA-Thinker-Qwen2.5VL-7B | 49.1 |
| 15 | VLAA-Thinker-Qwen2.5VL-3B | 48.5 |
Interactive version: theaggregate.ai/benchmark?slug=open-lmm-reasoning-wemath-three-step-s3 · How It Works · Data refreshed daily, snapshot 2026-09-05.