AGL1K: leaderboard

AGL1K (Beihang University, 2026) asks audio-language models where on Earth a crowd-sourced Aporee field recording was made, over 1,444 clips from more than 70 countries and territories selected for audio localizability and balanced between clips with and without speech. The Geo-score averages 5000 x exp(-d/1492.7) over clips for a Haversine error of d km (0-5000, higher is better), with a refusal counted as a 10,000 km error.

Metric: Geo-score (0-5000). Source: arxiv.org. Saturation forecast: Around February 2027. 16 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro3031.82#135
2Gemini 2.5 Pro2826.95#262
3Gemini 2.0 Flash2535.49#702
4Gemini 2.0 Flash (Thinking)2494.46#702 (Gemini 2.0 Flash)
5Gemini 2.0 Flash Lite2417.14#1032
6Gemini 2.5 Flash2256.22#452
7Gemini 2.5 Flash Lite1687.97#958
8Qwen2.5-Omni-7B1317.74#1797
9Gemma 3n E4B (IT)1161.54#2220
10Phi-4 Multimodal Instruct826.88#3914

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=agl1k · How It Works · Data refreshed daily, snapshot 2026-11-12.