VS-Bench (VisualSwap) - MathVerse: leaderboard

VS-Bench (Shi et al., 2026) probe accuracy on the 200 image pairs built from vision-dominant plane and solid geometry problems from MathVerse: 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 MathVerse: 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 32B Instruct70.5#582
2Qwen 3 VL 235B A22B Instruct63.5#521
3Qwen 3 VL 30B A3B Instruct55.5#870
4Qwen 3 VL 8B Instruct44#982
5Qwen 2.5 VL 7B Instruct36#1842
6Qwen 3 VL 8B (Thinking)29.5#887
7Qwen 3 VL 32B (Thinking)24#557
8Qwen 3 VL 235B A22B (Thinking)22.5#451
9Qwen 3 VL 30B A3B (Thinking)10#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-mathverse · How It Works · Data refreshed daily, snapshot 2026-11-12.