MechVQA - Identification and Counting: leaderboard
Metric: Accuracy (%) on the Identification and Counting subtask (Recognition capability), MechVQA test split (drawing-level 8:1:1 split of 20,778 questions on 3,281 mechanical drawings), answers judged against the reference by three LLM judges (GPT-OSS-120B, DeepSeek-V3.2, Kimi-k2); higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 15 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GLM-4.6V | 88.37 |
| 2 | Qwen 3 VL 32B Instruct | 86.05 |
| 3 | Gemini 3 Pro (Preview) | 76.74 |
| 4 | Qwen 3 VL 30B A3B Instruct | 74.42 |
| 5 | GPT-5 | 69.77 |
| 6 | Claude Sonnet 4.5 | 67.44 |
| 7 | GPT-4o | 62.79 |
| 8 | Qwen 3 VL 4B Instruct | 62.79 |
| 9 | Gemma 3 27B (IT) | 46.51 |
| 10 | GPT-4o Mini | 32.56 |
| 11 | Llama 3.2 11B Instruct | 13.95 |
Interactive version: theaggregate.ai/benchmark?slug=mechvqa-identification-and-counting · How It Works · Data refreshed daily, snapshot 2026-10-07.