TOC-Bench - Cross-Object Order: leaderboard
Metric: Cross-Object Order accuracy (%) on TOC-Bench (2,323 human-verified questions over 1,951 videos from Charades, Perception Test, OVIS and MOSE, grounded in per-frame object tracks and kept only when not answerable from text alone, single frames or shuffled frames), mostly 32 uniformly sampled frames, deterministic scoring of multiple-choice, statement-pair, numeric and ordering formats; higher is better. Source: arxiv.org. Saturation forecast: Around 2030. 23 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Kimi K2.6 | 63.6 |
| 2 | GPT-5.5 | 63.1 |
| 3 | Grok 4.3 | 61 |
| 4 | Gemini 3.1 Pro (Preview) | 57.2 |
| 5 | GLM-5V Turbo | 56.1 |
| 6 | Seed 2.0 Lite | 52.9 |
| 7 | MiniCPM-V-2.6 | 52.4 |
| 8 | Qwen 3 VL 8B (Thinking) | 50.8 |
| 9 | GPT-5.4 Mini | 49.2 |
| 10 | Gemini 3.1 Flash Lite (Preview) | 48.1 |
| 11 | MiMo-V2-Omni | 47.6 |
| 12 | InternVL3-8B | 43.3 |
| 13 | Qwen 2.5 VL 7B | 43.3 |
Interactive version: theaggregate.ai/benchmark?slug=toc-bench-cross-object-order · How It Works · Data refreshed daily, snapshot 2026-10-07.