OpenVLM MMT-Bench - Traffic Light Understanding: leaderboard
The "Traffic Light 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
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-4.1 Nano | 100 | #731 |
| 2 | InternVL3-8B | 100 | #620 |
| 3 | Qwen 2.5 VL 7B | 100 | #643 |
| 4 | GPT-4.1 Mini | 95 | #355 |
| 5 | InternVL3-38B | 95 | #405 |
| 6 | InternVL3-78B | 95 | #352 |
| 7 | GPT-4.1 (2025-04-14) | 95 | #250 |
| 8 | InternVL3-14B | 95 | #505 |
| 9 | Qwen 2 VL 72B | 95 | #460 |
| 10 | Qwen 2 VL 2B | 95 | #1220 |
| 11 | InternVL2-8B | 90 | #817 |
| 12 | Qwen 2 VL 7B | 90 | #750 |
| 13 | Aquila-VL-2B | 90 | #1238 |
| 14 | Gemini 1.5 Flash | 90 | #618 |
| 15 | Llama 3.2 90B Vision Instruct | 85 | #622 |
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-light-understanding · How It Works · Data refreshed daily, snapshot 2026-10-20.