VTC-Bench (Interface 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 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: Not forecast. 19 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Flash (High)58.82#93 (Gemini 3 Flash)
2Qwen 3 VL 235B A22B (Thinking)52.94#228 (Qwen 3 VL 235B A22B)
3Qwen 3 VL 32B Instruct51.76#276
4Qwen 3 VL 235B A22B Instruct48.24#264
5Qwen 3 VL 32B (Thinking)44.71#287 (Qwen 3 VL 32B)
6Qwen 3 VL 30B A3B (Thinking)43.53#338 (Qwen 3 VL 30B A3B)
7Qwen 3 VL 8B Instruct42.35#401
8GPT-4o40#333
9Qwen 3 VL 30B A3B Instruct40#365
10O4 Mini (High)40#172 (O4 Mini)
11O3 (High)40#121 (O3)
12Qwen 3 VL 8B (Thinking)37.65
13GPT-5.2 (High)37.65#105 (GPT-5.2)
14Gemini 3 Pro (High)35.29#77 (Gemini 3 Pro)

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