MapTab (Travelmap, Edge Table 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 edge-attribute table only, no image: 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 Flash99.52#55
2GPT-5.5 Instant98.51#130
3Doubao-Seed-1.6-251015 (Thinking)98.39#197 (Doubao-Seed-1.6-251015)
4Gemini 3 Flash (Preview)98.27#78
5Qwen 3.6 35B A3B (Thinking)95.42#214 (Qwen 3.6 35B A3B)
6GPT-4.174.82#240
7Qwen 3 VL 8B (Thinking)74.17
8Qwen 3 VL 32B (Thinking)69.76#287 (Qwen 3 VL 32B)
9GPT-4o65.06#333
10Qwen 3 VL 32B Instruct64.52#276
11Qwen 3 VL 30B A3B Instruct50.95#365
12Qwen 3 VL 8B Instruct44.05#401
13Qwen 3.5 9B (Non-reasoning)40.83#363 (Qwen 3.5 9B)
14Qwen 2.5 VL 7B Instruct21.07#643
15Phi-4 Multimodal Instruct7.2#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-edge-table-only · How It Works · Data refreshed daily, snapshot 2026-10-11.