VIA-Bench (Pattern Match) - Visual Anomalies: leaderboard

Metric: Accuracy (%) on the visual anomalies (common-sense violations such as a hand with six fingers) 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: Around 2029. 24 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro (Preview)43.51#64
2Gemini 2.5 Pro40.42#145
3GPT-4o (2024-11-20)35.31#369
4GPT-5 Mini26.95#176
5Claude 3.5 Sonnet (20241022)25.02#286
6O4 Mini24.02#172
7Qwen 3 VL 235B A22B (Thinking)23.51#228 (Qwen 3 VL 235B A22B)
8Qwen 2.5 VL 7B Instruct22.93#643
9O322.01#121
10Claude Opus 4.1 (20250805)21.84#126
11GLM-4.5V21.26#339
12Claude Sonnet 4 (20250514)21.09#211
13Qwen 2.5 VL 72B Instruct19#364
14Qwen 3 VL 30B A3B (Thinking)18.74#338 (Qwen 3 VL 30B A3B)
15GPT-4o ChatGPT2.34

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