OmniMapBench: leaderboard

OmniMapBench (2026) tests visual reasoning over map documents with 2,096 manually annotated single-choice, multiple-choice and ordering questions over 1,603 maps in nine categories. The final score is strict exact-match accuracy in percent over all questions with chain-of-thought prompting; higher is better.

Metric: Final score: overall strict exact-match accuracy on manually annotated single-choice, multiple-choice and ordering questions over map documents, chain-of-thought prompting on all 2,096 questions (%); higher is better. Source: arxiv.org. Saturation forecast: Around February 2027. 25 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)75.03#94
2Qwen 3.5 397B A17B72.22#246
3Qwen 3.5 Plus70.8#232
4Qwen 3.5 27B68.62#359
5Qwen 3.5 122B A10B68.37#331
6Kimi K2.567.64#256
7Qwen 3.5 35B A3B64.75#482
8Qwen 3.5 Flash64.56#435
9Gemini 2.5 Pro61.4#266
10GPT-556.54#167
11GPT-5 Mini56.11#348
12Gemma 4 31B (IT)51.67#342
13GLM-4.5V49.33#744
14GPT-4.1 Mini45.27#779
15Claude Sonnet 4.545.04#250

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

Interactive version: theaggregate.ai/benchmark?slug=omnimapbench · How It Works · Data refreshed daily, snapshot 2026-11-13.