OVO-S-Bench - Generative Spatial Reasoning: leaderboard

Level 3 of OVO-S-Bench (InternLM, 2026), a streaming spatial intelligence benchmark: multiple-choice accuracy in percent on generative spatial reasoning (simulation, consistency checks and route planning), with 128 frames sampled from the video before the query time. Higher is better.

Metric: Level 3 (generative spatial reasoning: simulation, consistency checks, route planning) 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 2029. 31 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 VL 235B A22B61.2#479
2Qwen 3.5 397B A17B58.07#246
3Gemini 3.1 Pro (Preview)55.9#94
4Qwen 3 VL 4B Instruct54.54#1279
5Gemini 3.1 Flash Lite54.14#364
6Qwen 3.5 27B (Non-reasoning)52.39#359 (Qwen 3.5 27B)
7Qwen 3 VL 32B Instruct51.94#585
8GPT-5.450.8#123
9Qwen 3.5 9B (Non-reasoning)50.2#803 (Qwen 3.5 9B)
10Qwen 3.5 4B (Non-reasoning)49.25#1175 (Qwen 3.5 4B)
11Grok 4.1 Fast (Non-reasoning)48.49#430 (Grok 4.1 Fast)
12Qwen 2.5 VL 7B Instruct45.86#1833
13Gemma 4 26B A4B45.01#615
14Gemma 4 E4B42.8#2214
15Gemma 4 E2B39.34#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-generative-spatial-reasoning · How It Works · Data refreshed daily, snapshot 2026-11-13.