MetroLLM-Bench: leaderboard

MetroLLM-Bench composite score on 238 held-out transit kiosk cases across six metro systems, where the model plans routes, quotes fares and handles disruptions through tool calls under operator-written policy.

Metric: Composite score (238 held-out cases, higher is better). Source: continker.ai. Saturation forecast: Around April 2027. 21 models tracked.

Top models

#ModelScoreOverall rank
1Muse Glimmer 30B92.03#191
2Qwen 3.8 27B91.83#123
3Qwen 3.6 27B91.28#182
4Qwen 3.5 27B90.6#192
5GPT-5.6 Luna (Medium)90.57#79 (GPT-5.6 Luna)
6GPT-5.4 (xHigh)90.45#83 (GPT-5.4)
7Qwen 3.5 35B A3B89.9#268
8GPT-5.6 Sol (xHigh)89.82#22 (GPT-5.6 Sol)
9GPT-5.4 (High)88.2#83 (GPT-5.4)
10Qwen 3.5 9B88.05#391
11Mistral Small 487.82#522
12GPT-5.4 (Medium)87.72#83 (GPT-5.4)
13Qwen 3.5 4B87.25#514
14GLM-4.7 Flash86.73#543
15GPT-5.4 Nano86.58#359

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=metrollm-bench · How It Works · Data refreshed daily, snapshot 2026-11-05.