Open LMM Reasoning - WeMath - Route Map: leaderboard
The "WeMath - Route Map" subtask of Open LMM Reasoning. A task from the Open LMM Reasoning leaderboard, which evaluates large multimodal models on multi-step visual, mathematical and logical reasoning problems.
Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 83 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Doubao-1.5-Pro | 78 | #287 |
| 2 | Taichu-VLR-7B | 77.2 | #526 |
| 3 | Qwen 2 VL 72B | 73.9 | #460 |
| 4 | Gemini 2.0 Flash | 70.6 | #342 |
| 5 | GPT-4.1 (2025-04-14) | 70.6 | #250 |
| 6 | Claude 3.7 Sonnet | 70.3 | #249 |
| 7 | InternVL3-38B | 66.2 | #405 |
| 8 | InternVL2.5-78B | 66.2 | #431 |
| 9 | InternVL3-78B | 65.9 | #352 |
| 10 | Gemini 1.5 Pro (002) | 65.7 | #349 |
| 11 | Claude 3.5 Sonnet (20241022) | 62.6 | #291 |
| 12 | GPT-4.1 Nano | 62.6 | #731 |
| 13 | GPT-4o ChatGPT | 62.6 | |
| 14 | InternVL3-8B | 59.1 | #620 |
| 15 | Qwen 2.5 VL 7B | 59.1 | #643 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=open-lmm-reasoning-wemath-route-map · How It Works · Data refreshed daily, snapshot 2026-10-20.