Maze-Bench: leaderboard

Evaluates whether a model can read a rectangular maze image and produce an escape route, measuring continuous visual and spatial reasoning. Each task is a 2048x2048 maze image with no coordinates, grid labels or textual representation; the model returns a single line of movement commands relative to its current heading — forward, backward, right and left — generated in one response with no intermediate feedback, and any extra text is a format error. Each maze scores 100 x P x E, where progress P is m/(m+r) and efficiency E is D/(m+r), with D the shortest solution length, m the moves completed without hitting a wall and r the remaining distance from the final position. The suite is five mazes at each of six sizes from 4x4 to 18x18; the mean becomes official only once all 30 are graded, and partial coverage is shown as a provisional mean instead.

Metric: Mean Score. Source: huggingface.co. Saturation forecast: Around November 2027. 44 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6 Astra (Medium)94.99#6 (GPT-6 Astra)
2GPT-6.1 Sol (Medium)88.57#7 (GPT-6.1 Sol)
3Claude Opus 5.5 (Medium)85.17#3 (Claude Opus 5.5)
4GPT-6.1 Terra (Medium)79.63#15 (GPT-6.1 Terra)
5Kimi K3.1 Pro (High)73.09#17 (Kimi K3.1 Pro)
6Claude Sonnet 5.5 (Medium)58.47#14 (Claude Sonnet 5.5)
7Claude Fable 5.1 (Medium)55.35#10 (Claude Fable 5.1)
8GPT-6 Sol (Medium)54.65#19 (GPT-6 Sol)
9Claude Haiku 5.5 (Medium)52.65#43 (Claude Haiku 5.5)
10Claude Opus 5 (Medium)50.86#16 (Claude Opus 5)
11Kimi K3 (High)48.14#35 (Kimi K3)
12Gemini 3.8 Flash (Medium)40.67#30 (Gemini 3.8 Flash)
13Claude Fable 5 (Medium)39.35#20 (Claude Fable 5)
14Kimi K3 (Max)32.89#35 (Kimi K3)
15GPT-5.6 Sol (Medium)31.46#22 (GPT-5.6 Sol)

No result here: #9 Gemini 4 Argon.

Interactive version: theaggregate.ai/benchmark?slug=maze-bench · How It Works · Data refreshed daily, snapshot 2026-11-05.