VTC-Bench (Interface Tools) - Spatial Reasoning: leaderboard

Metric: Pass rate (%) on spatial reasoning under extreme conditions (45 questions), answering VTC-Bench's 680 visual questions (538 multiple-choice, 142 open-ended) that call for chains of image operations with the same 32 OpenCV-based tools invoked through a function-calling interface, up to 20 rounds; rule matching plus a GPT-4o judge for open answers; proprietary models in high reasoning mode; higher is better. Source: arxiv.org. Saturation forecast: Around August 2027. 19 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro (High)71.11#77 (Gemini 3 Pro)
2Gemini 3 Flash (High)55.56#93 (Gemini 3 Flash)
3Qwen 3 VL 32B Instruct51.11#276
4GPT-5.2 (High)51.11#105 (GPT-5.2)
5GPT-4o48.89#333
6Qwen 3 VL 235B A22B (Thinking)48.89#228 (Qwen 3 VL 235B A22B)
7Qwen 3 VL 30B A3B (Thinking)48.89#338 (Qwen 3 VL 30B A3B)
8O4 Mini (High)46.67#172 (O4 Mini)
9Qwen 3 VL 30B A3B Instruct44.44#365
10O3 (High)44.44#121 (O3)
11Qwen 3 VL 32B (Thinking)40#287 (Qwen 3 VL 32B)
12Qwen 3 VL 235B A22B Instruct37.78#264
13Qwen 3 VL 8B (Thinking)28.89
14Qwen 3 VL 8B Instruct26.67#401

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

Interactive version: theaggregate.ai/benchmark?slug=vtc-bench-interface-tools-spatial-reasoning · How It Works · Data refreshed daily, snapshot 2026-10-11.