TriViewBench - Level 4: leaderboard

TriViewBench (2026) tests multi-view structural reasoning in multimodal models on synthetic 3D tower scenes shown as front, side and top views, with controlled object count and occlusion; models answer directly within 128 tokens. This board is accuracy in percent on the 4,231 Level 4 questions (many objects, high occlusion); higher is better.

Metric: Accuracy (%) over the 4,231 Level-4 questions (high object count, high occlusion) of all three reasoning categories; three orthographic views (front, side, top) of synthetic 3D tower scenes, direct prompting with a concise answer within 128 tokens, greedy decoding; higher is better. Source: arxiv.org. Saturation forecast: Around February 2027. 18 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Flash65.94#453
2Claude 3.7 Sonnet54.9#458
3Qwen 3 VL 8B Instruct46.68#981
4Qwen 3 VL 32B Instruct43.02#585
5GPT-4o42.76#741
6Qwen 3 VL 4B Instruct40.75#1279
7Qwen 2.5 VL 32B Instruct32.1#1053
8Qwen 2.5 VL 7B Instruct25.05#1833

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

Interactive version: theaggregate.ai/benchmark?slug=triviewbench-level-4 · How It Works · Data refreshed daily, snapshot 2026-11-13.