CVT-Bench - Real Competing NSC: leaderboard

Metric: Normalized survival coefficient (NSC): how long correct answers about the same tracked object pair persist across successive viewpoint probes, scaled so 0 is independent answering and 1 the maximum persistence the per-step accuracies allow (averaged over prefixes of 2 to 10 encounters; negative values retained), on the 100 CVT-Real scenes (real 3DSSG indoor photographs, 6,130 questions; relations left, right, front, behind, above and below), asked for the spatial relation between two tagged objects from the source view and from counterfactual viewpoints (yaw rotations and a top view), with the scene given as an image, 20 independent scenes interleaved in one request (CVT-Competing); higher is better. Source: arxiv.org. Saturation forecast: Around May 2027. 5 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)0.08#54
2Kimi K2.50.01#139
3Qwen 3.5 397B A17B0.01#141
4Qwen 3.5 Plus (2026-02-15)0.01#114

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=cvt-bench-real-competing-nsc · How It Works · Data refreshed daily, snapshot 2026-10-11.