OVO-S-Bench - Context Tracking: leaderboard

Level 2 of OVO-S-Bench (InternLM, 2026), a streaming spatial intelligence benchmark: multiple-choice accuracy in percent on tracking spatial evidence that has left the view, with 128 frames sampled from the video before the query time. Higher is better.

Metric: Level 2 (spatiotemporal context tracking of evidence no longer in view) multiple-choice accuracy (%) on the 1,680-question evaluation set, prefix-access mode (128 frames sampled uniformly from the video before the query timestamp, question given with the frames), mean of its three task families. Source: arxiv.org. Saturation forecast: Around October 2028. 31 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)64.04#94
2GPT-5.457.59#123
3Qwen 3.5 397B A17B55.39#246
4Qwen 3 VL 235B A22B55.18#479
5Qwen 3.5 27B (Non-reasoning)55.15#359 (Qwen 3.5 27B)
6Gemini 3.1 Flash Lite52.19#364
7Qwen 3 VL 32B Instruct51.91#585
8Qwen 3.5 9B (Non-reasoning)49.37#803 (Qwen 3.5 9B)
9Qwen 3.5 4B (Non-reasoning)48.2#1175 (Qwen 3.5 4B)
10Qwen 3 VL 4B Instruct48.18#1279
11Grok 4.1 Fast (Non-reasoning)46.59#430 (Grok 4.1 Fast)
12Gemma 4 26B A4B46.55#615
13Qwen 2.5 VL 7B Instruct45.51#1833
14Gemma 4 E4B42.76#2214
15Gemma 4 E2B36.52#3892

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=ovo-s-bench-context-tracking · How It Works · Data refreshed daily, snapshot 2026-11-13.