MapTab (Travelmap, Map + Edge Table): leaderboard

Metric: Exact match accuracy (%) of the planned route on MapTab's 1,680 Travelmap test queries (one per held-out origin-destination pair; city-disjoint test maps), given the map image and the edge-attribute table: the station sequence must equal an optimal reference route (spelling similarity above 50%); malformed outputs count as wrong; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 21 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.5 Flash98.57#55
2GPT-5.5 Instant98.04#130
3Doubao-Seed-1.6-251015 (Thinking)97.86#197 (Doubao-Seed-1.6-251015)
4Gemini 3 Flash (Preview)94.4#78
5Qwen 3.6 35B A3B (Thinking)92.26#214 (Qwen 3.6 35B A3B)
6Qwen 3 VL 32B (Thinking)91.79#287 (Qwen 3 VL 32B)
7Qwen 3 VL 8B (Thinking)82.68
8GPT-4.170.89#240
9Qwen 3 VL 32B Instruct68.39#276
10GPT-4o62.74#333
11Qwen 3 VL 30B A3B Instruct53.75#365
12Qwen 3.5 9B (Non-reasoning)50.06#363 (Qwen 3.5 9B)
13Qwen 3 VL 8B Instruct43.33#401
14Qwen 2.5 VL 7B Instruct24.82#643
15Phi-4 Multimodal Instruct5.3#896

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=maptab-travelmap-map-plus-edge-table · How It Works · Data refreshed daily, snapshot 2026-10-11.