Geoguessr
Released: 2026-03-10
Key:
Score Threshold:
google/gemini-3-flash-preview
Score: 4889
Distance: 45km
Lat: 44.407945
Lng: 6.88371
The landscape features alpine vegetation, coniferous trees, and steep, rocky mountain peaks characteristic of the Southern French Alps. The narrow, paved road without lane markings is typical of remote mountain passes or forest service roads in the Provence-Alpes-Côte d’Azur region. The lighting and specific topography suggest a narrow valley in the Ubaye or Queyras area.
meta-llama/llama-4-maverick
meta
Score: 2134
Distance: 1703km
Lat: 57.238925
Lng: -5.294251
The image features a dirt road surrounded by trees and mountains, characteristic of rural Scotland. The presence of coniferous trees and the mountainous terrain are indicative of the Scottish Highlands. The specific mountain in the background resembles those found in Glenelg or Kintail, suggesting a location in the Northwest Highlands.
anthropic/claude-haiku-4.5
anthropic
Score: 3743
Distance: 579km
Lat: 49.2667
Lng: 6.9167
This image shows a rural mountain road in a temperate climate with distinctive features: a dirt/gravel road with clear pine trees, lush green vegetation, and mountains visible in the distance. The landscape characteristics - the specific vegetation types, mountain formation, and the overall terrain - are consistent with the Vosges Mountains region in northeastern France. The road appears to be a typical rural mountain track found in this area, likely in the Alsace or Lorraine region. The Google Street View watermark and the general ecosystem suggest this is located in the Vosges Mountains region of France, approximately in the central part of the range.
x-ai/grok-4-fast
x-ai
Score: 4505
Distance: 208km
Lat: 45.9234
Lng: 6.8675
The image depicts a narrow gravel road winding through a forested mountainous area with pine trees and steep, rocky peaks under a partly cloudy sky. This landscape is typical of the European Alps, specifically resembling areas around Chamonix in the French Alps, known for such rugged terrain and coniferous forests. The vegetation and elevation suggest a summer scene in the Mont Blanc region.
anthropic/claude-sonnet-4.6
anthropic
Score: 4739
Distance: 107km
Lat: 44.8
Lng: 6.3
This image shows a narrow mountain road through pine and mixed forest with rocky Alpine peaks visible in the background. The vegetation type (black pines, mixed shrubs), the rocky limestone-looking mountains, and the road style suggest the French Alps or possibly the Pyrenees. The landscape looks characteristic of the Hautes-Alpes or Alpes-de-Haute-Provence region in southeastern France. The road style and vegetation are consistent with areas around Gap or Briançon in the French Alps.
openai/gpt-5-image-mini
openai
Score: 3813
Distance: 542km
Lat: 42.655
Lng: 0.75
Alpine scene with dry grassy slopes, low scrubby pines/lichen-covered conifers and a narrow unpaved mountain track — vegetation and geology consistent with the Southern European (Iberian) Pyrenees rather than the higher, glaciated Alps or wetter northern ranges. Light, tree species and rounded peaks match landscapes in the central Pyrenees (Aigüestortes/Benasque area of Lleida/Huesca), so I place it in that region (approximate coordinates given).
moonshotai/kimi-k2.5
moonshot
Score: 4875
Distance: 51km
Lat: 44.35
Lng: 6.68
The image shows a narrow mountain road with Mediterranean-Alpine vegetation including pine trees and shrubs, characteristic of the Maritime Alps or southern French Alps (Alpes-Maritimes/Alpes-de-Haute-Provence). The distinctive sharp mountain peak visible in the background and the valley landscape are consistent with the terrain found in the Mercantour National Park region or Ubaye Valley area of France. The road type, vegetation patterns, and mountain morphology match this region near the French-Italian border.
Methodology Note
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.