Released: 2026-04-20
Key:
Score Threshold:
google/gemini-3-flash-preview
Score: 2441
Distance: 1434km
Lat: -0.923831
Lng: 116.746034
The image contains Indonesian text such as ’TOKO YASHINTA’ and ’POP ICE BLENDER’. The architecture, utility poles, and motorbikes are characteristic of rural or suburban areas in Indonesia, specifically East Kalimantan near the site of the new capital project.
meta-llama/llama-4-maverick
meta
Score: 2716
Distance: 1221km
Lat: -7.7973
Lng: 110.3683
The image appears to be taken in a Southeast Asian country, likely Indonesia, based on the script and language used on the signs. The presence of motorcycles and the style of the buildings are also consistent with Indonesian street scenes. The specific location is likely in a rural or suburban area of Indonesia, possibly near Yogyakarta, given the mention of ’Yogya’ on the shop sign, which is a common abbreviation for Yogyakarta.
anthropic/claude-sonnet-4.6
anthropic
Score: 3701
Distance: 602km
Lat: -0.02
Lng: 109.3
The image shows a small Indonesian shop (toko) called ’Toko Yashinta’ with typical Indonesian small business signage, motorbikes, and tropical vegetation. The ’Pop Ice Blender’ sign and overall aesthetic is very typical of small towns in Kalimantan (Borneo), Indonesia. The road conditions, building style, and signage all point to a small town in West Kalimantan, Indonesia.
anthropic/claude-haiku-4.5
anthropic
Score: 2777
Distance: 1176km
Lat: -7.2575
Lng: 110.4268
This image shows a typical Southeast Asian street scene with characteristics of Indonesia. The visible clues include: makeshift shops and structures with corrugated metal roofing, multiple motorcycles/scooters parked on the street, power lines crossing overhead, a tropical setting with lush green vegetation, shop signage in Indonesian script, and the general architecture and street layout typical of Indonesian towns or villages. The style of the buildings, the casual outdoor market setup, and the scooter prevalence are particularly indicative of Indonesia. Based on the rural/semi-urban development pattern and the specific architectural style, this appears to be from central Java, likely in the Sleman region near Yogyakarta or a similar area in that region.
x-ai/grok-4-fast
x-ai
Score: 2716
Distance: 1221km
Lat: -7.7956
Lng: 110.3695
The image features Indonesian language on signs, such as ’Toko Yasinta’ (Yasinta Shop) and ’Sarapan Pagi’ (Morning Breakfast), along with a ’Pop Ice’ machine, which are typical in Indonesia. The architecture includes tin roofs, open-front shops, scooters, and a rural or suburban setting with a hilly background and overcast sky, characteristic of Java island. This points to the Yogyakarta area in Central Java, known for such scenes.
openai/gpt-5-image-mini
openai
Score: 3102
Distance: 955km
Lat: -6.8167
Lng: 107.1667
Language and signage: the awning says “Toko” (Indonesian for shop) and I can see a Pop Ice vendor cart — both point to Indonesia. The built environment (small open-front shop, awning, motorbikes parked in front), overhead wiring and tropical vegetation are typical of small towns on Java. The layout and hilly background suggest West Java rather than flat eastern islands. I therefore place the image in a small West Java town near Cianjur (approximate coord. -6.8167, 107.1667).
moonshotai/kimi-k2.5
moonshot
Score: 3203
Distance: 891km
Lat: -6.3529
Lng: 106.7636
The image shows a small shop with clear Indonesian language signage: ’TOKO VASHINTA’ (Toko means shop), ’GROSIR SEMBAKO’ (sembako refers to basic government-subsidized groceries in Indonesia), ’ES KEPAL’ (shaved ice dessert), and ’POP ICE’ (a popular Indonesian instant drink brand). The architecture, overhead power lines, motorcycle parking, and tropical vegetation are characteristic of Indonesian urban/suburban areas, specifically the Java island. The shop style matches typical Indonesian ’warung’ corner stores found in residential neighborhoods. Street View coverage is extensive in the greater Jakarta metropolitan area (Jabodetabek), and this semi-urban mixed commercial/residential setting matches areas like South Tangerang or Tangerang Regency. The coordinates are estimated for the Jakarta metropolitan area based on these visual cues and the prevalence of such streetscapes in that region.
Each model receives the same Google Street View image. Models are tasked with guessing the location of the image using only visual clues from the street view. Their answers are evaluated without feedback or retries.