OpenVLM Video - TempCompass - Direction: leaderboard

TempCompass Direction accuracy from the OpenCompass OpenVLM Video Leaderboard (VLMEvalKit): questions on the direction of movement in videos where a single frame cannot answer, pooled over the multi-choice, yes-or-no, caption-matching and captioning formats. Percent, higher is better; runs with a failed format (exactly 0) are left out.

Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 34 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 2 VL 72B65.83#450
2InternVL3-78B60.62#361
3InternVL3-38B60.43#413
4Qwen 2.5 VL 7B55.97#641
5Qwen 2 VL 7B54.84#743
6Qwen2.5-Omni-7B53.96#633
7Claude 3.5 Sonnet51.7#362
8InternVL3-8B50.75#624
9Gemini 1.5 Flash48.18#620
10InternVL2-8B47.17#813
11MiniCPM-V-2.646.04#827
12Gemini 2.0 Flash41.27#351
13Phi-4 Multimodal Instruct39.82#922

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

Interactive version: theaggregate.ai/benchmark?slug=openvlm-video-tempcompass-direction · How It Works · Data refreshed daily, snapshot 2026-11-05.