VS-Bench (VisualSwap) - MathVista: leaderboard

VS-Bench (Shi et al., 2026) probe accuracy on the 200 image pairs built from function plots, charts and other math-targeted visual questions from MathVista: after reasoning about an edited image, the model is shown the original image mid-response with a self-reflection prompt and must answer for the image now in front of it. Accuracy in percent; higher is better.

Metric: Probe accuracy (%; 200 image pairs sourced from MathVista: answer on the swapped image after a self-reflection prompt). Source: arxiv.org. Saturation forecast: Not forecast. 15 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 VL 235B A22B Instruct62.5#521
2Qwen 3 VL 32B Instruct59#582
3Qwen 3 VL 8B Instruct55#982
4Qwen 3 VL 30B A3B Instruct49.5#870
5Qwen 2.5 VL 7B Instruct37.5#1842
6Qwen 3 VL 8B (Thinking)36.5#887
7Qwen 3 VL 32B (Thinking)33#557
8Qwen 3 VL 235B A22B (Thinking)29.5#451
9Qwen 3 VL 30B A3B (Thinking)18#710

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=vs-bench-visualswap-mathvista · How It Works · Data refreshed daily, snapshot 2026-11-12.