MapTab (Travelmap, Map-Only): 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 only (criteria-free shortest-route queries): 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: Around January 2027. 21 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.5 Flash68.21#55
2GPT-5.5 Instant68.15#130
3Gemini 3 Flash (Preview)60#78
4Qwen 3.6 35B A3B (Thinking)42.74#214 (Qwen 3.6 35B A3B)
5Qwen 3 VL 32B (Thinking)39.17#287 (Qwen 3 VL 32B)
6Doubao-Seed-1.6-251015 (Thinking)38.45#197 (Doubao-Seed-1.6-251015)
7Qwen 3 VL 32B Instruct36.9#276
8Qwen 3.5 9B (Non-reasoning)25.95#363 (Qwen 3.5 9B)
9Qwen 3 VL 8B (Thinking)22.62
10GPT-4.120.3#240
11Qwen 3 VL 8B Instruct19.29#401
12Qwen 3 VL 30B A3B Instruct17.86#365
13GPT-4o16.85#333
14Qwen 2.5 VL 7B Instruct7.68#643
15Phi-4 Multimodal Instruct0.42#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-only · How It Works · Data refreshed daily, snapshot 2026-10-11.