VTC-Bench (Code Tools) - Counting: leaderboard

Metric: Pass rate (%) on counting (85 questions), 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 2030. 19 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Flash (High)52.94#93 (Gemini 3 Flash)
2GPT-5.2 (High)44.71#105 (GPT-5.2)
3Qwen 3 VL 32B (Thinking)43.53#287 (Qwen 3 VL 32B)
4Qwen 3 VL 235B A22B Instruct42.35#264
5GPT-4o40#333
6Qwen 3 VL 8B (Thinking)36.47
7Qwen 3 VL 30B A3B Instruct36.47#365
8Gemini 3 Pro (High)36.47#77 (Gemini 3 Pro)
9Qwen 3 VL 235B A22B (Thinking)35.29#228 (Qwen 3 VL 235B A22B)
10O4 Mini (High)35.29#172 (O4 Mini)
11Qwen 3 VL 32B Instruct34.12#276
12O3 (High)34.12#121 (O3)
13Qwen 3 VL 8B Instruct29.41#401
14Qwen 3 VL 30B A3B (Thinking)23.53#338 (Qwen 3 VL 30B A3B)

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