VTC-Bench (Interface Tools) - Attention Focusing: leaderboard
Metric: Pass rate (%) on attention focusing (45 questions on rotated or flipped images), 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: Around January 2027. 19 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 3 Pro (High) | 73.33 | #77 (Gemini 3 Pro) |
| 2 | Gemini 3 Flash (High) | 53.33 | #93 (Gemini 3 Flash) |
| 3 | GPT-5.2 (High) | 37.78 | #105 (GPT-5.2) |
| 4 | Qwen 3 VL 30B A3B Instruct | 24.44 | #365 |
| 5 | Qwen 3 VL 235B A22B (Thinking) | 24.44 | #228 (Qwen 3 VL 235B A22B) |
| 6 | O3 (High) | 24.44 | #121 (O3) |
| 7 | GPT-4o | 22.22 | #333 |
| 8 | Qwen 3 VL 235B A22B Instruct | 22.22 | #264 |
| 9 | Qwen 3 VL 8B Instruct | 17.78 | #401 |
| 10 | Qwen 3 VL 32B (Thinking) | 17.78 | #287 (Qwen 3 VL 32B) |
| 11 | Qwen 3 VL 8B (Thinking) | 15.56 | |
| 12 | Qwen 3 VL 30B A3B (Thinking) | 15.56 | #338 (Qwen 3 VL 30B A3B) |
| 13 | Qwen 3 VL 32B Instruct | 13.33 | #276 |
| 14 | O4 Mini (High) | 13.33 | #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-interface-tools-attention-focusing · How It Works · Data refreshed daily, snapshot 2026-10-11.