VIA-Bench (Pattern Match) - General Visual Illusions: leaderboard

Metric: Accuracy (%) on the general visual illusions questions, answer letter extracted by regular expressions; VIA-Bench's 1,004 human-verified multiple-choice questions on illusory and anomalous images, every option set including a never-correct 'Not Sure' option; zero-shot with an answer-format instruction, temperature 0.8 where supported (model defaults otherwise), mean of five runs; higher is better. Source: arxiv.org. Saturation forecast: Not forecast. 24 models tracked.

Top models

#ModelScoreOverall rank
1O367.75#121
2Gemini 2.5 Pro65.74#145
3Qwen 2.5 VL 72B Instruct62.79#364
4Qwen 3 VL 235B A22B (Thinking)62.33#228 (Qwen 3 VL 235B A22B)
5GLM-4.5V62.17#339
6GPT-5 Mini61.86#176
7Gemini 3 Pro (Preview)61.24#64
8GPT-4o (2024-11-20)60.93#369
9O4 Mini60.31#172
10Qwen 3 VL 30B A3B (Thinking)59.38#338 (Qwen 3 VL 30B A3B)
11GPT-4o ChatGPT55.81
12Claude Sonnet 4 (20250514)54.26#211
13Qwen 2.5 VL 7B Instruct53.33#643
14Claude Opus 4.1 (20250805)48.99#126
15GPT-5 Chat43.88#233

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=via-bench-pattern-match-general-visual-illusions · How It Works · Data refreshed daily, snapshot 2026-10-11.