OpenVLM MMT-Bench: leaderboard
OpenCompass OpenVLM evaluation of MMT-Bench: multimodal tasks covering visual recognition, localization, OCR, counting, relation reasoning, visual math, and hallucination detection.
Metric: Accuracy (%). Source: mmt-bench.github.io. Source: huggingface.co. Saturation forecast: Estimated already saturated. 207 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | InternVL3-78B | 72.6 | #352 |
| 2 | InternVL3-38B | 71.9 | #405 |
| 3 | Qwen 2 VL 72B | 71.2 | #460 |
| 4 | GPT-4.1 (2025-04-14) | 71.1 | #250 |
| 5 | InternVL3-14B | 69.7 | #505 |
| 6 | Grok 2 (1212) | 67.6 | #496 |
| 7 | InternVL3-8B | 64.9 | #620 |
| 8 | GPT-4.1 Mini | 63.4 | #355 |
| 9 | Qwen 2 VL 7B | 63.4 | #750 |
| 10 | Gemini 1.5 Pro | 63.4 | #445 |
| 11 | Gemini 1.5 Flash | 62.6 | #618 |
| 12 | Qwen 2.5 VL 7B | 62.1 | #643 |
| 13 | Claude 3.5 Sonnet | 61.8 | #350 |
| 14 | MiniCPM-V-2.6 | 60.8 | #836 |
| 15 | Gemma 3 27B | 60.8 | #607 |
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 · How It Works · Data refreshed daily, snapshot 2026-10-20.