VTC-Bench (Code Tools) - Measurement: leaderboard

Metric: Pass rate (%) on measurement (105 questions on size, position and shape), answering VTC-Bench's 680 visual questions (538 multiple-choice, 142 open-ended) that call for chains of image operations with 32 OpenCV-based tools invoked by writing code (Qwen-Agent, or the Thyme framework for the open tool-use models), 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 2028. 19 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro (High)54.29#77 (Gemini 3 Pro)
2GPT-5.2 (High)50.48#105 (GPT-5.2)
3Gemini 3 Flash (High)50.48#93 (Gemini 3 Flash)
4Qwen 3 VL 235B A22B Instruct40#264
5Qwen 3 VL 8B Instruct39.05#401
6O3 (High)38.1#121 (O3)
7GPT-4o37.14#333
8Qwen 3 VL 235B A22B (Thinking)36.19#228 (Qwen 3 VL 235B A22B)
9Qwen 3 VL 30B A3B (Thinking)36.19#338 (Qwen 3 VL 30B A3B)
10Qwen 3 VL 32B (Thinking)35.24#287 (Qwen 3 VL 32B)
11Qwen 3 VL 8B (Thinking)32.38
12Qwen 3 VL 32B Instruct31.43#276
13Qwen 3 VL 30B A3B Instruct31.43#365
14O4 Mini (High)31.43#172 (O4 Mini)

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-code-tools-measurement · How It Works · Data refreshed daily, snapshot 2026-10-11.