AI for Education Visual Maths - Measurement: leaderboard

This is the measurement slice of Fab AI's Visual Maths Benchmark, a set of 237 early grade maths questions that each depend on an image, selected from the Math-Vision (Math-V) dataset. It scores only the measurement strand, as the percent of questions answered correctly, where higher is better. Source: benchmarks.ai-for-education.org/leaderboards/maths.

Metric: Accuracy (%). Source: www.fab-ai.org. Saturation forecast: Estimated already saturated. 76 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.597.3#31
2GPT-5.6 Sol97.3#19
3Claude Fable 597.3#16
4Gemini 3.6 Flash97.3#51
5Gemini 3.7 Flash97.3#23
6GPT-5.4 (Medium)97.3#79 (GPT-5.4)
7Qwen 3.5 Flash97.3#232
8Gemini 3.1 Pro (Preview)94.59#58
9Claude Opus 4.894.59#37
10Qwen 3.6 Plus94.59#120
11Gemini 3.5 Flash94.59#60
12Claude Opus 594.59#12
13Grok 4.594.59#48
14GPT-5 (Medium)94.59#98 (GPT-5)
15Qwen 3.6 Flash94.59#214

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-measurement · How It Works · Data refreshed daily, snapshot 2026-10-20.