MapTab (Metromap, Map-Only): leaderboard

Metric: Exact match accuracy (%) of the planned route on MapTab's 1,600 Metromap 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%; transfer stations must be marked); 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 Flash44.19#55
2GPT-5.5 Instant43.63#130
3Gemini 3 Flash (Preview)37.06#78
4Qwen 3 VL 32B (Thinking)13.31#287 (Qwen 3 VL 32B)
5Doubao-Seed-1.6-251015 (Thinking)12.06#197 (Doubao-Seed-1.6-251015)
6Qwen 3.6 35B A3B (Thinking)11.56#214 (Qwen 3.6 35B A3B)
7GPT-4.17.94#240
8GPT-4o6.63#333
9Qwen 3 VL 32B Instruct6.31#276
10Qwen 3.5 9B (Non-reasoning)5.69#363 (Qwen 3.5 9B)
11Qwen 3 VL 8B (Thinking)5.12
12Qwen 3 VL 30B A3B Instruct3.31#365
13Qwen 3 VL 8B Instruct2.75#401
14Qwen 2.5 VL 7B Instruct0.94#643
15Phi-4 Multimodal Instruct0#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-metromap-map-only · How It Works · Data refreshed daily, snapshot 2026-10-11.