VTC-Bench (No 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 directly from the image, without tools; 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)46.47#93 (Gemini 3 Flash)
2Gemini 3 Pro (High)44.41#77 (Gemini 3 Pro)
3Qwen 3 VL 235B A22B Instruct36.32#264
4GPT-5.2 (High)36.03#105 (GPT-5.2)
5Qwen 3 VL 235B A22B (Thinking)35.15#228 (Qwen 3 VL 235B A22B)
6Qwen 3 VL 30B A3B Instruct33.09#365
7Qwen 3 VL 32B (Thinking)32.94#287 (Qwen 3 VL 32B)
8Qwen 3 VL 32B Instruct32.79#276
9O3 (High)31.91#121 (O3)
10O4 Mini (High)31.18#172 (O4 Mini)
11Qwen 3 VL 8B Instruct30.74#401
12Qwen 3 VL 8B (Thinking)30.29
13Qwen 3 VL 30B A3B (Thinking)29.56#338 (Qwen 3 VL 30B A3B)
14GPT-4o24.26#333

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-no-tools · How It Works · Data refreshed daily, snapshot 2026-10-11.