OpenVLM MMT-Bench - Traffic Sign Understanding: leaderboard

The "Traffic Sign Understanding" subtask of OpenVLM MMT-Bench. OpenCompass OpenVLM evaluation of MMT-Bench: multimodal tasks covering visual recognition, localization, OCR, counting, relation reasoning, visual math, and hallucination detection.

Metric: Score (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 207 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 2 VL 7B100#750
2GPT-4.1 (2025-04-14)95#250
3MiniCPM-V-2.695#836
4GPT-4.1 Mini90#355
5InternVL3-38B90#405
6InternVL3-14B90#505
7Qwen 2 VL 2B90#1220
8Aquila-VL-2B90#1238
9Qwen 2.5 VL 7B90#643
10GPT-4.1 Nano85#731
11InternVL3-8B85#620
12InternVL3-78B85#352
13Qwen 2 VL 72B85#460
14Gemini 1.5 Pro85#445
15Gemma 3 4B85#1089

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=openvlm-mmt-bench-traffic-sign-understanding · How It Works · Data refreshed daily, snapshot 2026-10-20.