Open LMM Reasoning - DynaMath - Subject-graph theory; Avg: leaderboard
The "DynaMath - Subject-graph theory; Avg" 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. 100 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-4o ChatGPT | 75.4 | |
| 2 | GPT-4.1 Mini | 73.5 | #355 |
| 3 | GPT-4.1 (2025-04-14) | 69 | #250 |
| 4 | Claude 3.7 Sonnet | 62.1 | #249 |
| 5 | Gemini 2.0 Flash | 59.4 | #342 |
| 6 | Doubao-1.5-Pro | 59.4 | #287 |
| 7 | Claude 3.5 Sonnet (20241022) | 58.5 | #291 |
| 8 | Gemini 1.5 Pro (002) | 55.8 | #349 |
| 9 | GPT-4.1 Nano | 51.7 | #731 |
| 10 | InternVL3-38B | 50.6 | #405 |
| 11 | InternVL3-78B | 50.4 | #352 |
| 12 | Taichu-VLR-7B | 50 | #526 |
| 13 | Grok 2 (1212) | 49.6 | #496 |
| 14 | InternVL2.5-78B | 48.1 | #431 |
| 15 | Qwen 2 VL 7B | 47.5 | #750 |
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-dynamath-subject-graph-theory-avg · How It Works · Data refreshed daily, snapshot 2026-10-20.