OmniCoT - See: leaderboard

See questions of OmniCoT (2026), a panoramic spatial reasoning benchmark: accuracy in percent on multi-step orientation tracking and relative angle questions over 360-degree images, with chain-of-thought prompting. Higher is better.

Metric: Accuracy (%) on See questions (multi-step orientation tracking, relative angular calculation) with chain-of-thought prompting on OmniCoT-B (synthetic 360-degree equirectangular panoramas with three anchor objects given by coordinates and orientation); answers are object identities, visibility, directions or the closest angle option, exact match after normalization. Source: arxiv.org. Saturation forecast: Around May 2027. 21 models tracked.

Top models

#ModelScoreOverall rank
1GPT-557.29#167
2Seed 1.857.09#242
3Grok 454.4#307
4GLM-4.5V53.15#744
5Qwen 2.5 VL 72B Instruct52.03#846
6ChatGPT 4o51.97#610
7Qwen 2.5 VL 32B Instruct47.84#1053
8Gemini 3 Flash47.52#164
9Qwen 3 VL 8B Instruct41.52#981
10Qwen 2.5 VL 7B Instruct33.77#1833

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

Interactive version: theaggregate.ai/benchmark?slug=omnicot-see · How It Works · Data refreshed daily, snapshot 2026-11-13.