VTC-Bench (Code Tools): leaderboard

Metric: Average pass rate (%) 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 July 2028. 19 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro (High)51.18#77 (Gemini 3 Pro)
2Gemini 3 Flash (High)50.59#93 (Gemini 3 Flash)
3GPT-5.2 (High)44.56#105 (GPT-5.2)
4O3 (High)36.62#121 (O3)
5Qwen 3 VL 235B A22B (Thinking)34.41#228 (Qwen 3 VL 235B A22B)
6Qwen 3 VL 235B A22B Instruct33.68#264
7O4 Mini (High)33.68#172 (O4 Mini)
8Qwen 3 VL 32B (Thinking)33.09#287 (Qwen 3 VL 32B)
9GPT-4o31.62#333
10Qwen 3 VL 30B A3B Instruct31.03#365
11Qwen 3 VL 32B Instruct30.59#276
12Qwen 3 VL 8B Instruct28.24#401
13Qwen 3 VL 30B A3B (Thinking)28.24#338 (Qwen 3 VL 30B A3B)
14Qwen 3 VL 8B (Thinking)26.32

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