OpenVLM MMBench V1.0 EN - LR: leaderboard

MMBench v1.0 English test questions on logical reasoning (LR: structured image-text understanding and future prediction), from the OpenCompass OpenVLM Leaderboard (VLMEvalKit). CircularEval counts a question only if every rotation of its options is answered correctly. Accuracy in percent, higher is better; this is the original question set, separate from the MMBench V1.1 boards.

Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 231 models tracked.

Top models

#ModelScoreOverall rank
1GPT-4.1 (2025-04-14)90.2#257
2GPT-4.1 Mini89.6#363
3InternVL3-38B85.5#413
4InternVL3-78B83.8#361
5InternVL3-14B83.2#506
6InternVL2.5-78B82.1#434
7Claude 3.5 Sonnet (20241022)81.5#302
8Grok 2 (1212)80.3#502
9Claude 3.7 Sonnet79.2#259
10Qwen 2 VL 72B78.6#450
11InternVL3-8B73.4#624
12Claude 3.5 Sonnet73.4#362
13Qwen 2.5 VL 7B72.3#641
14InternVL2-8B71.7#813
15Gemma 3 27B71.7#606

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

Interactive version: theaggregate.ai/benchmark?slug=openvlm-mmbench-v1-0-en-lr · How It Works · Data refreshed daily, snapshot 2026-11-05.