AI for Education Visual Maths: leaderboard

Fab AI's AI for Education initiative asks models 237 early grade maths questions that each depend on an image, a subset it selected from the Math-Vision (Math-V) dataset. The set covers five strands: algebra, geometry, measurement, number and operations, and statistics and probability. This board is the overall percent correct, higher is better. Source: benchmarks.ai-for-education.org/leaderboards/maths.

Metric: Accuracy (%). Source: www.fab-ai.org. Saturation forecast: Around January 2027. 76 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.6 Sol91.14#19
2GPT-5.589.87#31
3Gemini 3.7 Flash89.45#23
4Claude Fable 586.92#16
5GPT-5.4 (Medium)86.5#79 (GPT-5.4)
6Gemini 3.1 Pro (Preview)82.7#58
7Gemini 3 Flash80.59#99
8Gemini 3 Pro80.59#80
9Qwen 3.6 Plus80.59#120
10Claude Opus 580.59#12
11Qwen 3.5 Plus80.17#125
12Gemini 3.6 Flash78.48#51
13GPT-5.2 (Medium)78.48#110 (GPT-5.2)
14Grok 4.577.64#48
15Qwen 3.5 Flash76.79#232

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=ai-for-education-visual-maths · How It Works · Data refreshed daily, snapshot 2026-10-20.